Reducing False-Positive Results With Fourth-Generation HIV Testing at a Veterans Affairs Medical Center

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Ever since the first clinical reports of patients with AIDS in 1981, there have been improvements both in the knowledge base of the pathogenesis of HIV in causing AIDS as well as a progressive refinement in the test methodologies used to diagnose this illness.1-3 Given that there are both public health and clinical benefits in earlier diagnosis and treatment of patients with available antiretroviral therapies, universal screening with opt-out consent has been a standard of practice recommendation by the Centers of Disease Control and Prevention (CDC) since 2006; universal screening with opt-out consent also has been recommended by the US Preventative Task Force and has been widely implemented.4-7

HIV Screening

While HIV screening assays have evolved to be accurate with very high sensitivities and specificities, false-positive results are a significant issue both currently and historically.8-16 The use of an HIV assay on a low prevalence population predictably reduces the positive predictive value (PPV) of even an otherwise accurate assay.8-23 In light of this, laboratory HIV testing algorithms include confirmatory testing to increase the likelihood that the correct diagnosis is being rendered.

The fourth-generation assay has been shown to be more sensitive and specific compared with that of the third-generation assay due to the addition of detection of p24 antigen and the refinement of the antigenic targets for the antibody detection.6,8,11-13,18-20,22 Due to these improvements, in the general population, increased sensitivity/specificity with a reduction in both false positives and false negatives have been reported.

It has been observed in the nonveteran population that switching from the older third-generation to a more sensitive and specific fourth-generation HIV screening assay has reduced the false-positive screening rate.18,19,22 For instance, Muthukumar and colleagues demonstrated a false-positive rate of only 2 out of 99 (2%) tested specimens for the fourth-generation ARCHITECT HIV Ag/Ab Combo assay vs 9 out of 99 tested specimens (9%) for the third-generation ADVIA Centaur HIV 1/O/2 Enhanced assay.18 In addition, it has been noted that fourth-generation HIV screening assays can reduce the window period by detecting HIV infection sooner after initial acute infection.19 Mitchell and colleagues demonstrated even highly specific fourth-generation HIV assays with specificities estimated at 99.7% can have PPVs as low as 25.0% if used in a population of low HIV prevalence (such as a 0.1% prevalence population).19 However, the veteran population has been documented to differ significantly on a number of population variables, including severity of disease and susceptibility to infections, and as a result extrapolation of these data from the general population may be limited.24-26 To our knowledge, this article represents the first study directly examining the reduction in false-positive results with the switch to a fourth-generation HIV generation assay from a third-generation assay for the veteran patient population at a regional US Department of Veterans Affairs (VA) medical center (VAMC).8,11

Methods

Quality assurance documents on test volume were retrospectively reviewed to obtain the number of HIV screening tests that were performed by the laboratory at the Corporal Michael J. Crescenz VAMC (CMJCVAMC) in Philadelphia, Pennsylvania, between March 1, 2016 and February 28, 2017, prior to implementation of the fourth-generation assay. The study also include results from the first year of use of the fourth-generation assay (March 1, 2017 to February 28, 2018). In addition, paper quality assurance records of all positive screening results during those periods were reviewed and manually counted for the abstract presentation of these data.

For assurance of accuracy, a search of all HIV testing assays using Veterans Health Information Systems and Technology Architecture and FileMan also was performed, and the results were compared to records in the Computerized Patient Record System (CPRS). Any discrepancies in the numbers of test results generated by both searches were investigated, and data for the manuscript were derived from records associating tests with particular patients. Only results from patient samples were considered for the electronic search. Quality samples that did not correspond to a true patient as identified in CPRS or same time patient sample duplicates were excluded from the calculations. Basic demographic data (age, ethnicity, and gender) were obtained from this FileMan search. The third-generation assay was the Ortho-Clinical Diagnostics Vitros, and the fourth-generation assay was the Abbott Architect.

To interpret the true HIV result of each sample with a reactive or positive screening result, the CDC laboratory HIV testing algorithm was followed and reviewed with a clinical pathologist or microbiologist director.12,13 All specimens interpreted as HIV positive by the pathologist or microbiologist director were discussed with the clinical health care provider at the time of the test with results added to CPRS after all testing was complete and discussions had taken place. All initially reactive specimens (confirmed with retesting in duplicate on the screening platform with at least 1 repeat reactive result) were further tested with the Bio-Rad Geenius HIV 1/2 Supplemental Assay, which screens for both HIV-1 and HIV-2 antibodies. Specimens with reactive results by this supplemental assay were interpreted as positive for HIV based on the CDC laboratory HIV testing algorithm. Specimens with negative or indeterminant results by the supplemental assay then underwent HIV-1 nucleic acid testing (NAT) using the Roche Diagnostics COBAS AmpliPrep/COBAS TaqMan HIV-1 Test v2.0. Specimens with viral load detected on NAT were positive for HIV infection, while specimens with viral load not detected on NAT testing were interpreted as negative for HIV-1 infection. Although there were no HIV-2 positive or indeterminant specimens during the study period, HIV-2 reactivity also would have been interpreted per the CDC laboratory HIV testing algorithm. Specimens with inadequate volume to complete all testing steps would be interpreted as indeterminant for HIV with request for additional specimen to complete testing. All testing platforms used for HIV testing in the laboratory had been properly validated prior to use.

The number of false positives and indeterminant results was tabulated in Microsoft Excel by month throughout the study period alongside the total number of HIV screening tests performed. Statistical analyses to verify statistical significance was performed by 1-tailed homoscedastic t test calculation using Excel.

 

 

Results

From March 1, 2016 to February 28, 2017, 7,516 specimens were screened for HIV, using the third-generation assay, and 52 specimens tested positive for HIV. On further review of these reactive specimens per the CDC laboratory testing algorithm, 24 tests were true positive and 28 were false positives with a PPV of 46% (24/52) (Figure 1).

Positive HIV Assay Results

From March 1, 2017 to February 28, 2018, 7,802 specimens were screened for HIV using a fourth-generation assay and 23 tested positive for HIV. On further review of these reactive specimens per the CDC laboratory testing algorithm, 16 were true positive and 7 were false positives with a PPV of 70% (16/23).

The fourth-generation assay was more specific when compared with the third-generation assay (0.09% vs 0.37%, respectively) with a 75.7% decrease in the false-positivity rate after the implementation of fourth-generation testing. The decreased number of false-positive test results per month with the fourth-generation test implementation was statistically significant (P = .002). The mean (SD) number of false-positive test results for the third-generation assay was 2.3 (1.7) per month, while the fourth-generation assay only had a mean (SD) of 0.58 (0.9) false positives monthly. The decrease in the percentage of false positives per month with the implementation of the fourth-generation assay also was statistically significant (P = .002) (Figure 2).

False-Positive Test Results


For population-based reference of the tested population at CMJCVAMC, there was a FileMan search for basic demographic data of patients for the HIV specimens screened by the third- or fourth-generation test (Table). For the population tested by the third-generation assay, 1,114 out of the 7,516 total tested population did not have readily available demographic information by the FileMan search as the specimens originated outside of the facility. For 6,402 of 7,516 patients tested by the third-generation assay with demographic information, the age ranged from 25 to 97 years with a mean of 57 years. This population of 6,402 was 88% male (n = 5,639), 50% African American (n = 3,220) and 43% White (n = 2,756). For the population tested by the fourth-generation assay, 993 of 7,802 total tested population did not have readily available demographic information by the FileMan search as the specimens originated outside of the facility. For the 6,809 of 7,802 patients tested by the fourth-generation assay with demographic information, the age ranged from 24 to 97 years with a mean age of 56 years. This population was 88% male (n = 5,971), 47% African American (n = 3,189), and 46% White (n = 3,149).

Patient Demographics

Discussion

Current practice guidelines from the CDC and the US Preventive Services Task Force recommend universal screening of the population for HIV infection.5,6 As the general population to be screened would normally have a low prevalence of HIV infection, the risk of a false positive on the initial screen is significant.17 Indeed, the CMJCVAMC experience has been that with the third-generation screening assay, the number of false-positive test results outnumbered the number of true-positive test results. Even with the fourth-generation assay, approximately one-third of the results were false positives. These results are similar to those observed in studies involving nonveteran populations in which the implementation of a fourth-generation screening assay led to significantly fewer false-positive results.18

 

 

For laboratories that do not follows CDC testing algorithm guidelines, each false-positive screening result represents a potential opportunity for a HIV misdiagnosis.Even in laboratories with proper procedures in place, false-positive results have consequences for the patients and for the cost-effectiveness of laboratory operations.9-11,18 As per CDC HIV testing guidelines, all positive screening results should be retested, which leads to additional use of technologist time and reagents. After this additional testing is performed and reviewed appropriately, only then can an appropriate final laboratory diagnosis be rendered that meets the standard of laboratory care.

Cost Savings

As observed at CMJCVAMC, the use of a fourth-generation assay with increased sensitivity/specificity led to a reduction in these false-positive results, which improved laboratory efficiency and avoided wasted resources for confirmatory tests.11,18 Cost savings at CMJCVAMC from the implementation of the fourth-generation assay would include technologist time and reagent cost. Generalizable technologist time costs at any institution would include the time needed to perform the confirmatory HIV-1/HIV-2 antibody differentiation assay (slightly less than 1 hour at CMJCVAMC per specimen) and the time needed to perform the viral load assay (about 6 hours to run a batch of 24 tests at CMJCVAMC). We calculated that confirmatory testing cost $184.51 per test at CMJCVAMC. Replacing the third-generation assay with the more sensitive and specific fourth-generation test saved an estimated $3,875 annually. This cost savings does not even consider savings in the pathologist/director’s time for reviewing HIV results after the completion of the algorithm or the clinician/patient costs or anxiety while waiting for results of the confirmatory sequence of tests.

As diagnosis of HIV can have a significant psychological impact on the patient, it is important to ensure the diagnosis conveyed is correct.27 The provision of an HIV diagnosis to a patient has been described as a traumatic stressor capable of causing psychological harm; this harm should ideally be avoided if the HIV diagnosis is not accurate. There can be a temptation, when presented with a positive or reactive screening test that is known to come from an instrument or assay with a very high sensitivity and specificity, to present this result as a diagnosis to the patient. However, a false diagnosis from a false-positive screen would not only be harmful, but given the low prevalence of the disease in the screened population, would happen fairly frequently; in some settings the number of false positives may actually outnumber the number of true positive test results.

Better screening assays with greater specificity (even fractions of a percentage, given that specificities are already > 99%) would help reduce the number of false positives and reduce the number of potential enticements to convey an incorrect diagnosis. Therefore, by adding an additional layer of safety through greater specificity, the fourth-generation assay implementation helped improve the diagnostic safety of the laboratory and reduced the significant error risk to the clinician who would ultimately bear responsibility for conveying the HIV diagnoses to the patient. Given the increased prevalence of psychological and physical ailments in veterans, it may be even more important to ensure the diagnosis is correct to avoid increased psychological harm.27,28

 

 

Veteran Population

For the general population, the fourth-generation assay has been shown to be more sensitive and specific when compared with the third-generation assay due to the addition of detection of p24 antigen and the refinement of the antigenic targets for the antibody detection.6,8,11-13,18-20,22 However, the veteran population that receives VA medical care differs significantly from the nonveteran general population. Compared with nonveterans, veterans tend to have generally poorer health status, more comorbid conditions, and greater need to use medical resources.24-26 In addition, veterans also may differ in sociodemographic status, race, ethnicity, and gender.24-26

VA research in the veteran population is unique, and veterans who use VA health care services are an even more highly selected subpopulation.26 Conclusions made from studies of the general population may not always be applicable to the veteran population treated by VA health care services due to these population differences. Therefore, specific studies tailored to this special veteran population in the specific VA health care setting are essential to ensure that the results of the general population truly and definitively apply to the veteran population.

While the false-positive risk is most closely associated with testing in a population of low prevalence, it also should be noted that false-positive screening results also can occur in high-risk individuals, such as an individual on preexposure prophylaxis (PrEP) for continuous behavior that places the individual at high risk of HIV acquisition.8,29 The false-positive result in these cases can lead to a conundrum for the clinician, and the differential diagnosis should consider both detection of very early infection as well as false positive. Interventions could include either stopping PrEP and treating for presumed early primary infection with HIV or continuing the PrEP. These interventions all have the potential to impact the patient whether through the production of resistant HIV virus due to the inadvertent provision of an inadequate treatment regimen, increased risk of infection if taken off PrEP as the patient may likely continue the behavior regardless, or the risks carried by the administration of additional antiretroviral therapies for the complete empiric therapy. Cases of an individual on PrEP who had a false-positive HIV screening test has been reported previously both within and outside the veteran population.8 Better screening tests with greater sensitivity/specificity can only help in guiding better patient care.

Limitations

This quality assurance study was limited to retrospectively identifying the improvement in the false-positive rate on the transition from the third-generation to the more advanced fourth-generation HIV screen. False-positive screen cases could be easily picked up on review of the confirmatory testing per the CDC laboratory HIV testing algorithm.12,13 This study also was a retrospective review of clinically ordered and indicated testing; as a result, without confirmatory testing performed on all negative screen cases, a false-negative rate would not be calculable.

This study also was restricted to only the population being treated in a VA health care setting. This population is known to be different from the general population.24-26

Conclusions

The switch to a fourth-generation assay resulted in a significant reduction in false-positive test results for veteran patients at CMJCVAMC. This reduction in false-positive screening not only reduced laboratory workload due to the necessary confirmatory testing and subsequent review, but also saved costs for technologist’s time and reagents. While this reduction in false-positive results has been documented in nonveteran populations, this is the first study specifically on a veteran population treated at a VAMC.8,11,18 This study confirms previously documented findings of improvement in the false-positive rate of HIV screening tests with the change from third-generation to fourth-generation assay for a veteran population.24

References

1. Feinberg MB. Changing the natural history of HIV disease. Lancet. 1996;348(9022):239-246. doi:10.1016/s0140-6736(96)06231-9.

2. Alexander TS. Human immunodeficiency virus diagnostic testing: 30 years of evolution. Clin Vaccine Immunol. 2016;23(4):249-253. Published 2016 Apr 4. doi:10.1128/CVI.00053-16

3. Mortimer PP, Parry JV, Mortimer JY. Which anti-HTLV III/LAV assays for screening and confirmatory testing?. Lancet. 1985;2(8460):873-877. doi:10.1016/s0140-6736(85)90136-9

4. Holmberg SD, Palella FJ Jr, Lichtenstein KA, Havlir DV. The case for earlier treatment of HIV infection [published correction appears in Clin Infect Dis. 2004 Dec 15;39(12):1869]. Clin Infect Dis. 2004;39(11):1699-1704. doi:10.1086/425743

5. US Preventive Services Task Force, Owens DK, Davidson KW, et al. Screening for HIV Infection: US Preventive Services Task Force Recommendation Statement. JAMA. 2019;321(23):2326-2336. doi:10.1001/jama.2019.6587

6. Branson BM, Handsfield HH, Lampe MA, et al. Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings. MMWR Recomm Rep. 2006;55(RR-14):1-CE4.

7. Bayer R, Philbin M, Remien RH. The end of written informed consent for HIV testing: not with a bang but a whimper. Am J Public Health. 2017;107(8):1259-1265. doi:10.2105/AJPH.2017.303819

8. Petersen J, Jhala D. Its not HIV! The pitfall of unconfirmed positive HIV screening assays. Abstract presented at: Annual Meeting Pennsylvania Association of Pathologists; April 14, 2018.

9. Wood RW, Dunphy C, Okita K, Swenson P. Two “HIV-infected” persons not really infected. Arch Intern Med. 2003;163(15):1857-1859. doi:10.1001/archinte.163.15.1857

10. Permpalung N, Ungprasert P, Chongnarungsin D, Okoli A, Hyman CL. A diagnostic blind spot: acute infectious mononucleosis or acute retroviral syndrome. Am J Med. 2013;126(9):e5-e6. doi:10.1016/j.amjmed.2013.03.017

11. Dalal S, Petersen J, Luta D, Jhala D. Third- to fourth-generation HIV testing: reduction in false-positive results with the new way of testing, the Corporal Michael J. Crescenz Veteran Affairs Medical Center (CMCVAMC) Experience. Am J Clin Pathol.2018;150(suppl 1):S70-S71. doi:10.1093/ajcp/aqy093.172

12. Centers for Disease Control and Prevention. Laboratory testing for the diagnosis of HIV infection: updated recommendations. Published June 27, 2014. Accessed April 14, 2021. doi:10.15620/cdc.23447

13. Centers for Disease Control and Prevention. 2018 quick reference guide: recommended laboratory HIV testing algorithm for serum or plasma specimens. Updated January 2018. Accessed April 14, 202. https://stacks.cdc.gov/view/cdc/50872

14. Masciotra S, McDougal JS, Feldman J, Sprinkle P, Wesolowski L, Owen SM. Evaluation of an alternative HIV diagnostic algorithm using specimens from seroconversion panels and persons with established HIV infections. J Clin Virol. 2011;52(suppl 1):S17-S22. doi:10.1016/j.jcv.2011.09.011

15. Morton A. When lab tests lie … heterophile antibodies. Aust Fam Physician. 2014;43(6):391-393.

16. Spencer DV, Nolte FS, Zhu Y. Heterophilic antibody interference causing false-positive rapid human immunodeficiency virus antibody testing. Clin Chim Acta. 2009;399(1-2):121-122. doi:10.1016/j.cca.2008.09.030

17. Kim S, Lee JH, Choi JY, Kim JM, Kim HS. False-positive rate of a “fourth-generation” HIV antigen/antibody combination assay in an area of low HIV prevalence. Clin Vaccine Immunol. 2010;17(10):1642-1644. doi:10.1128/CVI.00258-10

18. Muthukumar A, Alatoom A, Burns S, et al. Comparison of 4th-generation HIV antigen/antibody combination assay with 3rd-generation HIV antibody assays for the occurrence of false-positive and false-negative results. Lab Med. 2015;46(2):84-e29. doi:10.1309/LMM3X37NSWUCMVRS

19. Mitchell EO, Stewart G, Bajzik O, Ferret M, Bentsen C, Shriver MK. Performance comparison of the 4th generation Bio-Rad Laboratories GS HIV Combo Ag/Ab EIA on the EVOLIS™ automated system versus Abbott ARCHITECT HIV Ag/Ab Combo, Ortho Anti-HIV 1+2 EIA on Vitros ECi and Siemens HIV-1/O/2 enhanced on Advia Centaur. J Clin Virol. 2013;58(suppl 1):e79-e84. doi:10.1016/j.jcv.2013.08.009

20. Dubravac T, Gahan TF, Pentella MA. Use of the Abbott Architect HIV antigen/antibody assay in a low incidence population. J Clin Virol. 2013;58(suppl 1):e76-e78. doi:10.1016/j.jcv.2013.10.020

21. Montesinos I, Eykmans J, Delforge ML. Evaluation of the Bio-Rad Geenius HIV-1/2 test as a confirmatory assay. J Clin Virol. 2014;60(4):399-401. doi:10.1016/j.jcv.2014.04.025

22. van Binsbergen J, Siebelink A, Jacobs A, et al. Improved performance of seroconversion with a 4th generation HIV antigen/antibody assay. J Virol Methods. 1999;82(1):77-84. doi:10.1016/s0166-0934(99)00086-5

23. CLSI. User Protocol for Evaluation of Qualitative Test Performance: Approved Guideline. Second ed. EP12-A2. CLSI; 2008:1-46.

24. Agha Z, Lofgren RP, VanRuiswyk JV, Layde PM. Are patients at Veterans Affairs medical centers sicker? A comparative analysis of health status and medical resource use. Arch Intern Med. 2000;160(21):3252-3257. doi:10.1001/archinte.160.21.3252

25. Eibner C, Krull H, Brown KM, et al. Current and projected characteristics and unique health care needs of the patient population served by the Department of Veterans Affairs. Rand Health Q. 2016;5(4):13. Published 2016 May 9.

26. Morgan RO, Teal CR, Reddy SG, Ford ME, Ashton CM. Measurement in Veterans Affairs Health Services Research: veterans as a special population. Health Serv Res. 2005;40(5, pt 2):1573-1583. doi:10.1111/j.1475-6773.2005.00448.x

27. Nightingale VR, Sher TG, Hansen NB. The impact of receiving an HIV diagnosis and cognitive processing on psychological distress and posttraumatic growth. J Trauma Stress. 2010;23(4):452-460. doi:10.1002/jts.20554

28. Spelman JF, Hunt SC, Seal KH, Burgo-Black AL. Post deployment care for returning combat veterans. J Gen Intern Med. 2012;27(9):1200-1209. doi:10.1007/s11606-012-2061-1

29. Ndase P, Celum C, Kidoguchi L, et al. Frequency of false positive rapid HIV serologic tests in African men and women receiving PrEP for HIV prevention: implications for programmatic roll-out of biomedical interventions. PLoS One. 2015;10(4):e0123005. Published 2015 Apr 17. doi:10.1371/journal.pone.0123005

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Jeffrey Petersen and Sharvari Dalal are Staff Pathologists; Maria Monteiro is a Medical Technologist; and Darshana Jhala is the Chief of Pathology and Laboratory Medicine; all at the Department of Pathology and Laboratory Medicine, Corporal Michael J. Crescenz Veteran Affairs Medical Center. Jeffrey Petersen is an Assistant Professor of Clinical Pathology and Laboratory Medicine;Sharvari Dalal is an Adjunct Assistant Professor of Clinical Pathology and Laboratory Medicine; and Darshana Jhala is a Professor; all at the University of Pennsylvania Perelman School of Medicine in Philadelphia.

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The authors report no actual or potential conflicts of interest with regard to this article.

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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Jeffrey Petersen and Sharvari Dalal are Staff Pathologists; Maria Monteiro is a Medical Technologist; and Darshana Jhala is the Chief of Pathology and Laboratory Medicine; all at the Department of Pathology and Laboratory Medicine, Corporal Michael J. Crescenz Veteran Affairs Medical Center. Jeffrey Petersen is an Assistant Professor of Clinical Pathology and Laboratory Medicine;Sharvari Dalal is an Adjunct Assistant Professor of Clinical Pathology and Laboratory Medicine; and Darshana Jhala is a Professor; all at the University of Pennsylvania Perelman School of Medicine in Philadelphia.

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The authors report no actual or potential conflicts of interest with regard to this article.

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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Ever since the first clinical reports of patients with AIDS in 1981, there have been improvements both in the knowledge base of the pathogenesis of HIV in causing AIDS as well as a progressive refinement in the test methodologies used to diagnose this illness.1-3 Given that there are both public health and clinical benefits in earlier diagnosis and treatment of patients with available antiretroviral therapies, universal screening with opt-out consent has been a standard of practice recommendation by the Centers of Disease Control and Prevention (CDC) since 2006; universal screening with opt-out consent also has been recommended by the US Preventative Task Force and has been widely implemented.4-7

HIV Screening

While HIV screening assays have evolved to be accurate with very high sensitivities and specificities, false-positive results are a significant issue both currently and historically.8-16 The use of an HIV assay on a low prevalence population predictably reduces the positive predictive value (PPV) of even an otherwise accurate assay.8-23 In light of this, laboratory HIV testing algorithms include confirmatory testing to increase the likelihood that the correct diagnosis is being rendered.

The fourth-generation assay has been shown to be more sensitive and specific compared with that of the third-generation assay due to the addition of detection of p24 antigen and the refinement of the antigenic targets for the antibody detection.6,8,11-13,18-20,22 Due to these improvements, in the general population, increased sensitivity/specificity with a reduction in both false positives and false negatives have been reported.

It has been observed in the nonveteran population that switching from the older third-generation to a more sensitive and specific fourth-generation HIV screening assay has reduced the false-positive screening rate.18,19,22 For instance, Muthukumar and colleagues demonstrated a false-positive rate of only 2 out of 99 (2%) tested specimens for the fourth-generation ARCHITECT HIV Ag/Ab Combo assay vs 9 out of 99 tested specimens (9%) for the third-generation ADVIA Centaur HIV 1/O/2 Enhanced assay.18 In addition, it has been noted that fourth-generation HIV screening assays can reduce the window period by detecting HIV infection sooner after initial acute infection.19 Mitchell and colleagues demonstrated even highly specific fourth-generation HIV assays with specificities estimated at 99.7% can have PPVs as low as 25.0% if used in a population of low HIV prevalence (such as a 0.1% prevalence population).19 However, the veteran population has been documented to differ significantly on a number of population variables, including severity of disease and susceptibility to infections, and as a result extrapolation of these data from the general population may be limited.24-26 To our knowledge, this article represents the first study directly examining the reduction in false-positive results with the switch to a fourth-generation HIV generation assay from a third-generation assay for the veteran patient population at a regional US Department of Veterans Affairs (VA) medical center (VAMC).8,11

Methods

Quality assurance documents on test volume were retrospectively reviewed to obtain the number of HIV screening tests that were performed by the laboratory at the Corporal Michael J. Crescenz VAMC (CMJCVAMC) in Philadelphia, Pennsylvania, between March 1, 2016 and February 28, 2017, prior to implementation of the fourth-generation assay. The study also include results from the first year of use of the fourth-generation assay (March 1, 2017 to February 28, 2018). In addition, paper quality assurance records of all positive screening results during those periods were reviewed and manually counted for the abstract presentation of these data.

For assurance of accuracy, a search of all HIV testing assays using Veterans Health Information Systems and Technology Architecture and FileMan also was performed, and the results were compared to records in the Computerized Patient Record System (CPRS). Any discrepancies in the numbers of test results generated by both searches were investigated, and data for the manuscript were derived from records associating tests with particular patients. Only results from patient samples were considered for the electronic search. Quality samples that did not correspond to a true patient as identified in CPRS or same time patient sample duplicates were excluded from the calculations. Basic demographic data (age, ethnicity, and gender) were obtained from this FileMan search. The third-generation assay was the Ortho-Clinical Diagnostics Vitros, and the fourth-generation assay was the Abbott Architect.

To interpret the true HIV result of each sample with a reactive or positive screening result, the CDC laboratory HIV testing algorithm was followed and reviewed with a clinical pathologist or microbiologist director.12,13 All specimens interpreted as HIV positive by the pathologist or microbiologist director were discussed with the clinical health care provider at the time of the test with results added to CPRS after all testing was complete and discussions had taken place. All initially reactive specimens (confirmed with retesting in duplicate on the screening platform with at least 1 repeat reactive result) were further tested with the Bio-Rad Geenius HIV 1/2 Supplemental Assay, which screens for both HIV-1 and HIV-2 antibodies. Specimens with reactive results by this supplemental assay were interpreted as positive for HIV based on the CDC laboratory HIV testing algorithm. Specimens with negative or indeterminant results by the supplemental assay then underwent HIV-1 nucleic acid testing (NAT) using the Roche Diagnostics COBAS AmpliPrep/COBAS TaqMan HIV-1 Test v2.0. Specimens with viral load detected on NAT were positive for HIV infection, while specimens with viral load not detected on NAT testing were interpreted as negative for HIV-1 infection. Although there were no HIV-2 positive or indeterminant specimens during the study period, HIV-2 reactivity also would have been interpreted per the CDC laboratory HIV testing algorithm. Specimens with inadequate volume to complete all testing steps would be interpreted as indeterminant for HIV with request for additional specimen to complete testing. All testing platforms used for HIV testing in the laboratory had been properly validated prior to use.

The number of false positives and indeterminant results was tabulated in Microsoft Excel by month throughout the study period alongside the total number of HIV screening tests performed. Statistical analyses to verify statistical significance was performed by 1-tailed homoscedastic t test calculation using Excel.

 

 

Results

From March 1, 2016 to February 28, 2017, 7,516 specimens were screened for HIV, using the third-generation assay, and 52 specimens tested positive for HIV. On further review of these reactive specimens per the CDC laboratory testing algorithm, 24 tests were true positive and 28 were false positives with a PPV of 46% (24/52) (Figure 1).

Positive HIV Assay Results

From March 1, 2017 to February 28, 2018, 7,802 specimens were screened for HIV using a fourth-generation assay and 23 tested positive for HIV. On further review of these reactive specimens per the CDC laboratory testing algorithm, 16 were true positive and 7 were false positives with a PPV of 70% (16/23).

The fourth-generation assay was more specific when compared with the third-generation assay (0.09% vs 0.37%, respectively) with a 75.7% decrease in the false-positivity rate after the implementation of fourth-generation testing. The decreased number of false-positive test results per month with the fourth-generation test implementation was statistically significant (P = .002). The mean (SD) number of false-positive test results for the third-generation assay was 2.3 (1.7) per month, while the fourth-generation assay only had a mean (SD) of 0.58 (0.9) false positives monthly. The decrease in the percentage of false positives per month with the implementation of the fourth-generation assay also was statistically significant (P = .002) (Figure 2).

False-Positive Test Results


For population-based reference of the tested population at CMJCVAMC, there was a FileMan search for basic demographic data of patients for the HIV specimens screened by the third- or fourth-generation test (Table). For the population tested by the third-generation assay, 1,114 out of the 7,516 total tested population did not have readily available demographic information by the FileMan search as the specimens originated outside of the facility. For 6,402 of 7,516 patients tested by the third-generation assay with demographic information, the age ranged from 25 to 97 years with a mean of 57 years. This population of 6,402 was 88% male (n = 5,639), 50% African American (n = 3,220) and 43% White (n = 2,756). For the population tested by the fourth-generation assay, 993 of 7,802 total tested population did not have readily available demographic information by the FileMan search as the specimens originated outside of the facility. For the 6,809 of 7,802 patients tested by the fourth-generation assay with demographic information, the age ranged from 24 to 97 years with a mean age of 56 years. This population was 88% male (n = 5,971), 47% African American (n = 3,189), and 46% White (n = 3,149).

Patient Demographics

Discussion

Current practice guidelines from the CDC and the US Preventive Services Task Force recommend universal screening of the population for HIV infection.5,6 As the general population to be screened would normally have a low prevalence of HIV infection, the risk of a false positive on the initial screen is significant.17 Indeed, the CMJCVAMC experience has been that with the third-generation screening assay, the number of false-positive test results outnumbered the number of true-positive test results. Even with the fourth-generation assay, approximately one-third of the results were false positives. These results are similar to those observed in studies involving nonveteran populations in which the implementation of a fourth-generation screening assay led to significantly fewer false-positive results.18

 

 

For laboratories that do not follows CDC testing algorithm guidelines, each false-positive screening result represents a potential opportunity for a HIV misdiagnosis.Even in laboratories with proper procedures in place, false-positive results have consequences for the patients and for the cost-effectiveness of laboratory operations.9-11,18 As per CDC HIV testing guidelines, all positive screening results should be retested, which leads to additional use of technologist time and reagents. After this additional testing is performed and reviewed appropriately, only then can an appropriate final laboratory diagnosis be rendered that meets the standard of laboratory care.

Cost Savings

As observed at CMJCVAMC, the use of a fourth-generation assay with increased sensitivity/specificity led to a reduction in these false-positive results, which improved laboratory efficiency and avoided wasted resources for confirmatory tests.11,18 Cost savings at CMJCVAMC from the implementation of the fourth-generation assay would include technologist time and reagent cost. Generalizable technologist time costs at any institution would include the time needed to perform the confirmatory HIV-1/HIV-2 antibody differentiation assay (slightly less than 1 hour at CMJCVAMC per specimen) and the time needed to perform the viral load assay (about 6 hours to run a batch of 24 tests at CMJCVAMC). We calculated that confirmatory testing cost $184.51 per test at CMJCVAMC. Replacing the third-generation assay with the more sensitive and specific fourth-generation test saved an estimated $3,875 annually. This cost savings does not even consider savings in the pathologist/director’s time for reviewing HIV results after the completion of the algorithm or the clinician/patient costs or anxiety while waiting for results of the confirmatory sequence of tests.

As diagnosis of HIV can have a significant psychological impact on the patient, it is important to ensure the diagnosis conveyed is correct.27 The provision of an HIV diagnosis to a patient has been described as a traumatic stressor capable of causing psychological harm; this harm should ideally be avoided if the HIV diagnosis is not accurate. There can be a temptation, when presented with a positive or reactive screening test that is known to come from an instrument or assay with a very high sensitivity and specificity, to present this result as a diagnosis to the patient. However, a false diagnosis from a false-positive screen would not only be harmful, but given the low prevalence of the disease in the screened population, would happen fairly frequently; in some settings the number of false positives may actually outnumber the number of true positive test results.

Better screening assays with greater specificity (even fractions of a percentage, given that specificities are already > 99%) would help reduce the number of false positives and reduce the number of potential enticements to convey an incorrect diagnosis. Therefore, by adding an additional layer of safety through greater specificity, the fourth-generation assay implementation helped improve the diagnostic safety of the laboratory and reduced the significant error risk to the clinician who would ultimately bear responsibility for conveying the HIV diagnoses to the patient. Given the increased prevalence of psychological and physical ailments in veterans, it may be even more important to ensure the diagnosis is correct to avoid increased psychological harm.27,28

 

 

Veteran Population

For the general population, the fourth-generation assay has been shown to be more sensitive and specific when compared with the third-generation assay due to the addition of detection of p24 antigen and the refinement of the antigenic targets for the antibody detection.6,8,11-13,18-20,22 However, the veteran population that receives VA medical care differs significantly from the nonveteran general population. Compared with nonveterans, veterans tend to have generally poorer health status, more comorbid conditions, and greater need to use medical resources.24-26 In addition, veterans also may differ in sociodemographic status, race, ethnicity, and gender.24-26

VA research in the veteran population is unique, and veterans who use VA health care services are an even more highly selected subpopulation.26 Conclusions made from studies of the general population may not always be applicable to the veteran population treated by VA health care services due to these population differences. Therefore, specific studies tailored to this special veteran population in the specific VA health care setting are essential to ensure that the results of the general population truly and definitively apply to the veteran population.

While the false-positive risk is most closely associated with testing in a population of low prevalence, it also should be noted that false-positive screening results also can occur in high-risk individuals, such as an individual on preexposure prophylaxis (PrEP) for continuous behavior that places the individual at high risk of HIV acquisition.8,29 The false-positive result in these cases can lead to a conundrum for the clinician, and the differential diagnosis should consider both detection of very early infection as well as false positive. Interventions could include either stopping PrEP and treating for presumed early primary infection with HIV or continuing the PrEP. These interventions all have the potential to impact the patient whether through the production of resistant HIV virus due to the inadvertent provision of an inadequate treatment regimen, increased risk of infection if taken off PrEP as the patient may likely continue the behavior regardless, or the risks carried by the administration of additional antiretroviral therapies for the complete empiric therapy. Cases of an individual on PrEP who had a false-positive HIV screening test has been reported previously both within and outside the veteran population.8 Better screening tests with greater sensitivity/specificity can only help in guiding better patient care.

Limitations

This quality assurance study was limited to retrospectively identifying the improvement in the false-positive rate on the transition from the third-generation to the more advanced fourth-generation HIV screen. False-positive screen cases could be easily picked up on review of the confirmatory testing per the CDC laboratory HIV testing algorithm.12,13 This study also was a retrospective review of clinically ordered and indicated testing; as a result, without confirmatory testing performed on all negative screen cases, a false-negative rate would not be calculable.

This study also was restricted to only the population being treated in a VA health care setting. This population is known to be different from the general population.24-26

Conclusions

The switch to a fourth-generation assay resulted in a significant reduction in false-positive test results for veteran patients at CMJCVAMC. This reduction in false-positive screening not only reduced laboratory workload due to the necessary confirmatory testing and subsequent review, but also saved costs for technologist’s time and reagents. While this reduction in false-positive results has been documented in nonveteran populations, this is the first study specifically on a veteran population treated at a VAMC.8,11,18 This study confirms previously documented findings of improvement in the false-positive rate of HIV screening tests with the change from third-generation to fourth-generation assay for a veteran population.24

Ever since the first clinical reports of patients with AIDS in 1981, there have been improvements both in the knowledge base of the pathogenesis of HIV in causing AIDS as well as a progressive refinement in the test methodologies used to diagnose this illness.1-3 Given that there are both public health and clinical benefits in earlier diagnosis and treatment of patients with available antiretroviral therapies, universal screening with opt-out consent has been a standard of practice recommendation by the Centers of Disease Control and Prevention (CDC) since 2006; universal screening with opt-out consent also has been recommended by the US Preventative Task Force and has been widely implemented.4-7

HIV Screening

While HIV screening assays have evolved to be accurate with very high sensitivities and specificities, false-positive results are a significant issue both currently and historically.8-16 The use of an HIV assay on a low prevalence population predictably reduces the positive predictive value (PPV) of even an otherwise accurate assay.8-23 In light of this, laboratory HIV testing algorithms include confirmatory testing to increase the likelihood that the correct diagnosis is being rendered.

The fourth-generation assay has been shown to be more sensitive and specific compared with that of the third-generation assay due to the addition of detection of p24 antigen and the refinement of the antigenic targets for the antibody detection.6,8,11-13,18-20,22 Due to these improvements, in the general population, increased sensitivity/specificity with a reduction in both false positives and false negatives have been reported.

It has been observed in the nonveteran population that switching from the older third-generation to a more sensitive and specific fourth-generation HIV screening assay has reduced the false-positive screening rate.18,19,22 For instance, Muthukumar and colleagues demonstrated a false-positive rate of only 2 out of 99 (2%) tested specimens for the fourth-generation ARCHITECT HIV Ag/Ab Combo assay vs 9 out of 99 tested specimens (9%) for the third-generation ADVIA Centaur HIV 1/O/2 Enhanced assay.18 In addition, it has been noted that fourth-generation HIV screening assays can reduce the window period by detecting HIV infection sooner after initial acute infection.19 Mitchell and colleagues demonstrated even highly specific fourth-generation HIV assays with specificities estimated at 99.7% can have PPVs as low as 25.0% if used in a population of low HIV prevalence (such as a 0.1% prevalence population).19 However, the veteran population has been documented to differ significantly on a number of population variables, including severity of disease and susceptibility to infections, and as a result extrapolation of these data from the general population may be limited.24-26 To our knowledge, this article represents the first study directly examining the reduction in false-positive results with the switch to a fourth-generation HIV generation assay from a third-generation assay for the veteran patient population at a regional US Department of Veterans Affairs (VA) medical center (VAMC).8,11

Methods

Quality assurance documents on test volume were retrospectively reviewed to obtain the number of HIV screening tests that were performed by the laboratory at the Corporal Michael J. Crescenz VAMC (CMJCVAMC) in Philadelphia, Pennsylvania, between March 1, 2016 and February 28, 2017, prior to implementation of the fourth-generation assay. The study also include results from the first year of use of the fourth-generation assay (March 1, 2017 to February 28, 2018). In addition, paper quality assurance records of all positive screening results during those periods were reviewed and manually counted for the abstract presentation of these data.

For assurance of accuracy, a search of all HIV testing assays using Veterans Health Information Systems and Technology Architecture and FileMan also was performed, and the results were compared to records in the Computerized Patient Record System (CPRS). Any discrepancies in the numbers of test results generated by both searches were investigated, and data for the manuscript were derived from records associating tests with particular patients. Only results from patient samples were considered for the electronic search. Quality samples that did not correspond to a true patient as identified in CPRS or same time patient sample duplicates were excluded from the calculations. Basic demographic data (age, ethnicity, and gender) were obtained from this FileMan search. The third-generation assay was the Ortho-Clinical Diagnostics Vitros, and the fourth-generation assay was the Abbott Architect.

To interpret the true HIV result of each sample with a reactive or positive screening result, the CDC laboratory HIV testing algorithm was followed and reviewed with a clinical pathologist or microbiologist director.12,13 All specimens interpreted as HIV positive by the pathologist or microbiologist director were discussed with the clinical health care provider at the time of the test with results added to CPRS after all testing was complete and discussions had taken place. All initially reactive specimens (confirmed with retesting in duplicate on the screening platform with at least 1 repeat reactive result) were further tested with the Bio-Rad Geenius HIV 1/2 Supplemental Assay, which screens for both HIV-1 and HIV-2 antibodies. Specimens with reactive results by this supplemental assay were interpreted as positive for HIV based on the CDC laboratory HIV testing algorithm. Specimens with negative or indeterminant results by the supplemental assay then underwent HIV-1 nucleic acid testing (NAT) using the Roche Diagnostics COBAS AmpliPrep/COBAS TaqMan HIV-1 Test v2.0. Specimens with viral load detected on NAT were positive for HIV infection, while specimens with viral load not detected on NAT testing were interpreted as negative for HIV-1 infection. Although there were no HIV-2 positive or indeterminant specimens during the study period, HIV-2 reactivity also would have been interpreted per the CDC laboratory HIV testing algorithm. Specimens with inadequate volume to complete all testing steps would be interpreted as indeterminant for HIV with request for additional specimen to complete testing. All testing platforms used for HIV testing in the laboratory had been properly validated prior to use.

The number of false positives and indeterminant results was tabulated in Microsoft Excel by month throughout the study period alongside the total number of HIV screening tests performed. Statistical analyses to verify statistical significance was performed by 1-tailed homoscedastic t test calculation using Excel.

 

 

Results

From March 1, 2016 to February 28, 2017, 7,516 specimens were screened for HIV, using the third-generation assay, and 52 specimens tested positive for HIV. On further review of these reactive specimens per the CDC laboratory testing algorithm, 24 tests were true positive and 28 were false positives with a PPV of 46% (24/52) (Figure 1).

Positive HIV Assay Results

From March 1, 2017 to February 28, 2018, 7,802 specimens were screened for HIV using a fourth-generation assay and 23 tested positive for HIV. On further review of these reactive specimens per the CDC laboratory testing algorithm, 16 were true positive and 7 were false positives with a PPV of 70% (16/23).

The fourth-generation assay was more specific when compared with the third-generation assay (0.09% vs 0.37%, respectively) with a 75.7% decrease in the false-positivity rate after the implementation of fourth-generation testing. The decreased number of false-positive test results per month with the fourth-generation test implementation was statistically significant (P = .002). The mean (SD) number of false-positive test results for the third-generation assay was 2.3 (1.7) per month, while the fourth-generation assay only had a mean (SD) of 0.58 (0.9) false positives monthly. The decrease in the percentage of false positives per month with the implementation of the fourth-generation assay also was statistically significant (P = .002) (Figure 2).

False-Positive Test Results


For population-based reference of the tested population at CMJCVAMC, there was a FileMan search for basic demographic data of patients for the HIV specimens screened by the third- or fourth-generation test (Table). For the population tested by the third-generation assay, 1,114 out of the 7,516 total tested population did not have readily available demographic information by the FileMan search as the specimens originated outside of the facility. For 6,402 of 7,516 patients tested by the third-generation assay with demographic information, the age ranged from 25 to 97 years with a mean of 57 years. This population of 6,402 was 88% male (n = 5,639), 50% African American (n = 3,220) and 43% White (n = 2,756). For the population tested by the fourth-generation assay, 993 of 7,802 total tested population did not have readily available demographic information by the FileMan search as the specimens originated outside of the facility. For the 6,809 of 7,802 patients tested by the fourth-generation assay with demographic information, the age ranged from 24 to 97 years with a mean age of 56 years. This population was 88% male (n = 5,971), 47% African American (n = 3,189), and 46% White (n = 3,149).

Patient Demographics

Discussion

Current practice guidelines from the CDC and the US Preventive Services Task Force recommend universal screening of the population for HIV infection.5,6 As the general population to be screened would normally have a low prevalence of HIV infection, the risk of a false positive on the initial screen is significant.17 Indeed, the CMJCVAMC experience has been that with the third-generation screening assay, the number of false-positive test results outnumbered the number of true-positive test results. Even with the fourth-generation assay, approximately one-third of the results were false positives. These results are similar to those observed in studies involving nonveteran populations in which the implementation of a fourth-generation screening assay led to significantly fewer false-positive results.18

 

 

For laboratories that do not follows CDC testing algorithm guidelines, each false-positive screening result represents a potential opportunity for a HIV misdiagnosis.Even in laboratories with proper procedures in place, false-positive results have consequences for the patients and for the cost-effectiveness of laboratory operations.9-11,18 As per CDC HIV testing guidelines, all positive screening results should be retested, which leads to additional use of technologist time and reagents. After this additional testing is performed and reviewed appropriately, only then can an appropriate final laboratory diagnosis be rendered that meets the standard of laboratory care.

Cost Savings

As observed at CMJCVAMC, the use of a fourth-generation assay with increased sensitivity/specificity led to a reduction in these false-positive results, which improved laboratory efficiency and avoided wasted resources for confirmatory tests.11,18 Cost savings at CMJCVAMC from the implementation of the fourth-generation assay would include technologist time and reagent cost. Generalizable technologist time costs at any institution would include the time needed to perform the confirmatory HIV-1/HIV-2 antibody differentiation assay (slightly less than 1 hour at CMJCVAMC per specimen) and the time needed to perform the viral load assay (about 6 hours to run a batch of 24 tests at CMJCVAMC). We calculated that confirmatory testing cost $184.51 per test at CMJCVAMC. Replacing the third-generation assay with the more sensitive and specific fourth-generation test saved an estimated $3,875 annually. This cost savings does not even consider savings in the pathologist/director’s time for reviewing HIV results after the completion of the algorithm or the clinician/patient costs or anxiety while waiting for results of the confirmatory sequence of tests.

As diagnosis of HIV can have a significant psychological impact on the patient, it is important to ensure the diagnosis conveyed is correct.27 The provision of an HIV diagnosis to a patient has been described as a traumatic stressor capable of causing psychological harm; this harm should ideally be avoided if the HIV diagnosis is not accurate. There can be a temptation, when presented with a positive or reactive screening test that is known to come from an instrument or assay with a very high sensitivity and specificity, to present this result as a diagnosis to the patient. However, a false diagnosis from a false-positive screen would not only be harmful, but given the low prevalence of the disease in the screened population, would happen fairly frequently; in some settings the number of false positives may actually outnumber the number of true positive test results.

Better screening assays with greater specificity (even fractions of a percentage, given that specificities are already > 99%) would help reduce the number of false positives and reduce the number of potential enticements to convey an incorrect diagnosis. Therefore, by adding an additional layer of safety through greater specificity, the fourth-generation assay implementation helped improve the diagnostic safety of the laboratory and reduced the significant error risk to the clinician who would ultimately bear responsibility for conveying the HIV diagnoses to the patient. Given the increased prevalence of psychological and physical ailments in veterans, it may be even more important to ensure the diagnosis is correct to avoid increased psychological harm.27,28

 

 

Veteran Population

For the general population, the fourth-generation assay has been shown to be more sensitive and specific when compared with the third-generation assay due to the addition of detection of p24 antigen and the refinement of the antigenic targets for the antibody detection.6,8,11-13,18-20,22 However, the veteran population that receives VA medical care differs significantly from the nonveteran general population. Compared with nonveterans, veterans tend to have generally poorer health status, more comorbid conditions, and greater need to use medical resources.24-26 In addition, veterans also may differ in sociodemographic status, race, ethnicity, and gender.24-26

VA research in the veteran population is unique, and veterans who use VA health care services are an even more highly selected subpopulation.26 Conclusions made from studies of the general population may not always be applicable to the veteran population treated by VA health care services due to these population differences. Therefore, specific studies tailored to this special veteran population in the specific VA health care setting are essential to ensure that the results of the general population truly and definitively apply to the veteran population.

While the false-positive risk is most closely associated with testing in a population of low prevalence, it also should be noted that false-positive screening results also can occur in high-risk individuals, such as an individual on preexposure prophylaxis (PrEP) for continuous behavior that places the individual at high risk of HIV acquisition.8,29 The false-positive result in these cases can lead to a conundrum for the clinician, and the differential diagnosis should consider both detection of very early infection as well as false positive. Interventions could include either stopping PrEP and treating for presumed early primary infection with HIV or continuing the PrEP. These interventions all have the potential to impact the patient whether through the production of resistant HIV virus due to the inadvertent provision of an inadequate treatment regimen, increased risk of infection if taken off PrEP as the patient may likely continue the behavior regardless, or the risks carried by the administration of additional antiretroviral therapies for the complete empiric therapy. Cases of an individual on PrEP who had a false-positive HIV screening test has been reported previously both within and outside the veteran population.8 Better screening tests with greater sensitivity/specificity can only help in guiding better patient care.

Limitations

This quality assurance study was limited to retrospectively identifying the improvement in the false-positive rate on the transition from the third-generation to the more advanced fourth-generation HIV screen. False-positive screen cases could be easily picked up on review of the confirmatory testing per the CDC laboratory HIV testing algorithm.12,13 This study also was a retrospective review of clinically ordered and indicated testing; as a result, without confirmatory testing performed on all negative screen cases, a false-negative rate would not be calculable.

This study also was restricted to only the population being treated in a VA health care setting. This population is known to be different from the general population.24-26

Conclusions

The switch to a fourth-generation assay resulted in a significant reduction in false-positive test results for veteran patients at CMJCVAMC. This reduction in false-positive screening not only reduced laboratory workload due to the necessary confirmatory testing and subsequent review, but also saved costs for technologist’s time and reagents. While this reduction in false-positive results has been documented in nonveteran populations, this is the first study specifically on a veteran population treated at a VAMC.8,11,18 This study confirms previously documented findings of improvement in the false-positive rate of HIV screening tests with the change from third-generation to fourth-generation assay for a veteran population.24

References

1. Feinberg MB. Changing the natural history of HIV disease. Lancet. 1996;348(9022):239-246. doi:10.1016/s0140-6736(96)06231-9.

2. Alexander TS. Human immunodeficiency virus diagnostic testing: 30 years of evolution. Clin Vaccine Immunol. 2016;23(4):249-253. Published 2016 Apr 4. doi:10.1128/CVI.00053-16

3. Mortimer PP, Parry JV, Mortimer JY. Which anti-HTLV III/LAV assays for screening and confirmatory testing?. Lancet. 1985;2(8460):873-877. doi:10.1016/s0140-6736(85)90136-9

4. Holmberg SD, Palella FJ Jr, Lichtenstein KA, Havlir DV. The case for earlier treatment of HIV infection [published correction appears in Clin Infect Dis. 2004 Dec 15;39(12):1869]. Clin Infect Dis. 2004;39(11):1699-1704. doi:10.1086/425743

5. US Preventive Services Task Force, Owens DK, Davidson KW, et al. Screening for HIV Infection: US Preventive Services Task Force Recommendation Statement. JAMA. 2019;321(23):2326-2336. doi:10.1001/jama.2019.6587

6. Branson BM, Handsfield HH, Lampe MA, et al. Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings. MMWR Recomm Rep. 2006;55(RR-14):1-CE4.

7. Bayer R, Philbin M, Remien RH. The end of written informed consent for HIV testing: not with a bang but a whimper. Am J Public Health. 2017;107(8):1259-1265. doi:10.2105/AJPH.2017.303819

8. Petersen J, Jhala D. Its not HIV! The pitfall of unconfirmed positive HIV screening assays. Abstract presented at: Annual Meeting Pennsylvania Association of Pathologists; April 14, 2018.

9. Wood RW, Dunphy C, Okita K, Swenson P. Two “HIV-infected” persons not really infected. Arch Intern Med. 2003;163(15):1857-1859. doi:10.1001/archinte.163.15.1857

10. Permpalung N, Ungprasert P, Chongnarungsin D, Okoli A, Hyman CL. A diagnostic blind spot: acute infectious mononucleosis or acute retroviral syndrome. Am J Med. 2013;126(9):e5-e6. doi:10.1016/j.amjmed.2013.03.017

11. Dalal S, Petersen J, Luta D, Jhala D. Third- to fourth-generation HIV testing: reduction in false-positive results with the new way of testing, the Corporal Michael J. Crescenz Veteran Affairs Medical Center (CMCVAMC) Experience. Am J Clin Pathol.2018;150(suppl 1):S70-S71. doi:10.1093/ajcp/aqy093.172

12. Centers for Disease Control and Prevention. Laboratory testing for the diagnosis of HIV infection: updated recommendations. Published June 27, 2014. Accessed April 14, 2021. doi:10.15620/cdc.23447

13. Centers for Disease Control and Prevention. 2018 quick reference guide: recommended laboratory HIV testing algorithm for serum or plasma specimens. Updated January 2018. Accessed April 14, 202. https://stacks.cdc.gov/view/cdc/50872

14. Masciotra S, McDougal JS, Feldman J, Sprinkle P, Wesolowski L, Owen SM. Evaluation of an alternative HIV diagnostic algorithm using specimens from seroconversion panels and persons with established HIV infections. J Clin Virol. 2011;52(suppl 1):S17-S22. doi:10.1016/j.jcv.2011.09.011

15. Morton A. When lab tests lie … heterophile antibodies. Aust Fam Physician. 2014;43(6):391-393.

16. Spencer DV, Nolte FS, Zhu Y. Heterophilic antibody interference causing false-positive rapid human immunodeficiency virus antibody testing. Clin Chim Acta. 2009;399(1-2):121-122. doi:10.1016/j.cca.2008.09.030

17. Kim S, Lee JH, Choi JY, Kim JM, Kim HS. False-positive rate of a “fourth-generation” HIV antigen/antibody combination assay in an area of low HIV prevalence. Clin Vaccine Immunol. 2010;17(10):1642-1644. doi:10.1128/CVI.00258-10

18. Muthukumar A, Alatoom A, Burns S, et al. Comparison of 4th-generation HIV antigen/antibody combination assay with 3rd-generation HIV antibody assays for the occurrence of false-positive and false-negative results. Lab Med. 2015;46(2):84-e29. doi:10.1309/LMM3X37NSWUCMVRS

19. Mitchell EO, Stewart G, Bajzik O, Ferret M, Bentsen C, Shriver MK. Performance comparison of the 4th generation Bio-Rad Laboratories GS HIV Combo Ag/Ab EIA on the EVOLIS™ automated system versus Abbott ARCHITECT HIV Ag/Ab Combo, Ortho Anti-HIV 1+2 EIA on Vitros ECi and Siemens HIV-1/O/2 enhanced on Advia Centaur. J Clin Virol. 2013;58(suppl 1):e79-e84. doi:10.1016/j.jcv.2013.08.009

20. Dubravac T, Gahan TF, Pentella MA. Use of the Abbott Architect HIV antigen/antibody assay in a low incidence population. J Clin Virol. 2013;58(suppl 1):e76-e78. doi:10.1016/j.jcv.2013.10.020

21. Montesinos I, Eykmans J, Delforge ML. Evaluation of the Bio-Rad Geenius HIV-1/2 test as a confirmatory assay. J Clin Virol. 2014;60(4):399-401. doi:10.1016/j.jcv.2014.04.025

22. van Binsbergen J, Siebelink A, Jacobs A, et al. Improved performance of seroconversion with a 4th generation HIV antigen/antibody assay. J Virol Methods. 1999;82(1):77-84. doi:10.1016/s0166-0934(99)00086-5

23. CLSI. User Protocol for Evaluation of Qualitative Test Performance: Approved Guideline. Second ed. EP12-A2. CLSI; 2008:1-46.

24. Agha Z, Lofgren RP, VanRuiswyk JV, Layde PM. Are patients at Veterans Affairs medical centers sicker? A comparative analysis of health status and medical resource use. Arch Intern Med. 2000;160(21):3252-3257. doi:10.1001/archinte.160.21.3252

25. Eibner C, Krull H, Brown KM, et al. Current and projected characteristics and unique health care needs of the patient population served by the Department of Veterans Affairs. Rand Health Q. 2016;5(4):13. Published 2016 May 9.

26. Morgan RO, Teal CR, Reddy SG, Ford ME, Ashton CM. Measurement in Veterans Affairs Health Services Research: veterans as a special population. Health Serv Res. 2005;40(5, pt 2):1573-1583. doi:10.1111/j.1475-6773.2005.00448.x

27. Nightingale VR, Sher TG, Hansen NB. The impact of receiving an HIV diagnosis and cognitive processing on psychological distress and posttraumatic growth. J Trauma Stress. 2010;23(4):452-460. doi:10.1002/jts.20554

28. Spelman JF, Hunt SC, Seal KH, Burgo-Black AL. Post deployment care for returning combat veterans. J Gen Intern Med. 2012;27(9):1200-1209. doi:10.1007/s11606-012-2061-1

29. Ndase P, Celum C, Kidoguchi L, et al. Frequency of false positive rapid HIV serologic tests in African men and women receiving PrEP for HIV prevention: implications for programmatic roll-out of biomedical interventions. PLoS One. 2015;10(4):e0123005. Published 2015 Apr 17. doi:10.1371/journal.pone.0123005

References

1. Feinberg MB. Changing the natural history of HIV disease. Lancet. 1996;348(9022):239-246. doi:10.1016/s0140-6736(96)06231-9.

2. Alexander TS. Human immunodeficiency virus diagnostic testing: 30 years of evolution. Clin Vaccine Immunol. 2016;23(4):249-253. Published 2016 Apr 4. doi:10.1128/CVI.00053-16

3. Mortimer PP, Parry JV, Mortimer JY. Which anti-HTLV III/LAV assays for screening and confirmatory testing?. Lancet. 1985;2(8460):873-877. doi:10.1016/s0140-6736(85)90136-9

4. Holmberg SD, Palella FJ Jr, Lichtenstein KA, Havlir DV. The case for earlier treatment of HIV infection [published correction appears in Clin Infect Dis. 2004 Dec 15;39(12):1869]. Clin Infect Dis. 2004;39(11):1699-1704. doi:10.1086/425743

5. US Preventive Services Task Force, Owens DK, Davidson KW, et al. Screening for HIV Infection: US Preventive Services Task Force Recommendation Statement. JAMA. 2019;321(23):2326-2336. doi:10.1001/jama.2019.6587

6. Branson BM, Handsfield HH, Lampe MA, et al. Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings. MMWR Recomm Rep. 2006;55(RR-14):1-CE4.

7. Bayer R, Philbin M, Remien RH. The end of written informed consent for HIV testing: not with a bang but a whimper. Am J Public Health. 2017;107(8):1259-1265. doi:10.2105/AJPH.2017.303819

8. Petersen J, Jhala D. Its not HIV! The pitfall of unconfirmed positive HIV screening assays. Abstract presented at: Annual Meeting Pennsylvania Association of Pathologists; April 14, 2018.

9. Wood RW, Dunphy C, Okita K, Swenson P. Two “HIV-infected” persons not really infected. Arch Intern Med. 2003;163(15):1857-1859. doi:10.1001/archinte.163.15.1857

10. Permpalung N, Ungprasert P, Chongnarungsin D, Okoli A, Hyman CL. A diagnostic blind spot: acute infectious mononucleosis or acute retroviral syndrome. Am J Med. 2013;126(9):e5-e6. doi:10.1016/j.amjmed.2013.03.017

11. Dalal S, Petersen J, Luta D, Jhala D. Third- to fourth-generation HIV testing: reduction in false-positive results with the new way of testing, the Corporal Michael J. Crescenz Veteran Affairs Medical Center (CMCVAMC) Experience. Am J Clin Pathol.2018;150(suppl 1):S70-S71. doi:10.1093/ajcp/aqy093.172

12. Centers for Disease Control and Prevention. Laboratory testing for the diagnosis of HIV infection: updated recommendations. Published June 27, 2014. Accessed April 14, 2021. doi:10.15620/cdc.23447

13. Centers for Disease Control and Prevention. 2018 quick reference guide: recommended laboratory HIV testing algorithm for serum or plasma specimens. Updated January 2018. Accessed April 14, 202. https://stacks.cdc.gov/view/cdc/50872

14. Masciotra S, McDougal JS, Feldman J, Sprinkle P, Wesolowski L, Owen SM. Evaluation of an alternative HIV diagnostic algorithm using specimens from seroconversion panels and persons with established HIV infections. J Clin Virol. 2011;52(suppl 1):S17-S22. doi:10.1016/j.jcv.2011.09.011

15. Morton A. When lab tests lie … heterophile antibodies. Aust Fam Physician. 2014;43(6):391-393.

16. Spencer DV, Nolte FS, Zhu Y. Heterophilic antibody interference causing false-positive rapid human immunodeficiency virus antibody testing. Clin Chim Acta. 2009;399(1-2):121-122. doi:10.1016/j.cca.2008.09.030

17. Kim S, Lee JH, Choi JY, Kim JM, Kim HS. False-positive rate of a “fourth-generation” HIV antigen/antibody combination assay in an area of low HIV prevalence. Clin Vaccine Immunol. 2010;17(10):1642-1644. doi:10.1128/CVI.00258-10

18. Muthukumar A, Alatoom A, Burns S, et al. Comparison of 4th-generation HIV antigen/antibody combination assay with 3rd-generation HIV antibody assays for the occurrence of false-positive and false-negative results. Lab Med. 2015;46(2):84-e29. doi:10.1309/LMM3X37NSWUCMVRS

19. Mitchell EO, Stewart G, Bajzik O, Ferret M, Bentsen C, Shriver MK. Performance comparison of the 4th generation Bio-Rad Laboratories GS HIV Combo Ag/Ab EIA on the EVOLIS™ automated system versus Abbott ARCHITECT HIV Ag/Ab Combo, Ortho Anti-HIV 1+2 EIA on Vitros ECi and Siemens HIV-1/O/2 enhanced on Advia Centaur. J Clin Virol. 2013;58(suppl 1):e79-e84. doi:10.1016/j.jcv.2013.08.009

20. Dubravac T, Gahan TF, Pentella MA. Use of the Abbott Architect HIV antigen/antibody assay in a low incidence population. J Clin Virol. 2013;58(suppl 1):e76-e78. doi:10.1016/j.jcv.2013.10.020

21. Montesinos I, Eykmans J, Delforge ML. Evaluation of the Bio-Rad Geenius HIV-1/2 test as a confirmatory assay. J Clin Virol. 2014;60(4):399-401. doi:10.1016/j.jcv.2014.04.025

22. van Binsbergen J, Siebelink A, Jacobs A, et al. Improved performance of seroconversion with a 4th generation HIV antigen/antibody assay. J Virol Methods. 1999;82(1):77-84. doi:10.1016/s0166-0934(99)00086-5

23. CLSI. User Protocol for Evaluation of Qualitative Test Performance: Approved Guideline. Second ed. EP12-A2. CLSI; 2008:1-46.

24. Agha Z, Lofgren RP, VanRuiswyk JV, Layde PM. Are patients at Veterans Affairs medical centers sicker? A comparative analysis of health status and medical resource use. Arch Intern Med. 2000;160(21):3252-3257. doi:10.1001/archinte.160.21.3252

25. Eibner C, Krull H, Brown KM, et al. Current and projected characteristics and unique health care needs of the patient population served by the Department of Veterans Affairs. Rand Health Q. 2016;5(4):13. Published 2016 May 9.

26. Morgan RO, Teal CR, Reddy SG, Ford ME, Ashton CM. Measurement in Veterans Affairs Health Services Research: veterans as a special population. Health Serv Res. 2005;40(5, pt 2):1573-1583. doi:10.1111/j.1475-6773.2005.00448.x

27. Nightingale VR, Sher TG, Hansen NB. The impact of receiving an HIV diagnosis and cognitive processing on psychological distress and posttraumatic growth. J Trauma Stress. 2010;23(4):452-460. doi:10.1002/jts.20554

28. Spelman JF, Hunt SC, Seal KH, Burgo-Black AL. Post deployment care for returning combat veterans. J Gen Intern Med. 2012;27(9):1200-1209. doi:10.1007/s11606-012-2061-1

29. Ndase P, Celum C, Kidoguchi L, et al. Frequency of false positive rapid HIV serologic tests in African men and women receiving PrEP for HIV prevention: implications for programmatic roll-out of biomedical interventions. PLoS One. 2015;10(4):e0123005. Published 2015 Apr 17. doi:10.1371/journal.pone.0123005

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Liquid Biopsies in a Veteran Patient Population With Advanced Prostate and Lung Non-Small Cell Carcinomas: A New Paradigm and Unique Challenge in Personalized Medicine

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The advent of liquid biopsies targeting genetic mutations in solid tumors is a major milestone in the field of precision oncology.1 Conventional methods of obtaining tissue for molecular studies are limited by sample size and often do not represent the entire bulk of the tumor.2 This newer minimally invasive, revolutionary technique analyzes circulating cell-free DNA carrying tumor-specific alterations (circulating tumor DNA [ctDNA]) in peripheral blood and detects signature genomic alterations.1 Tp53 mutations have been reported in 25 to 40% of prostatic cancers and > 50% of non-small cell lung cancers (NSCLC), being more common in late-stage and hormone refractory prostate cancers.3,4 Tp53 mutation has been found to be associated with poor prognosis and increased germline mutations.5

The veteran patient population has distinct demographic characteristics that make veterans more vulnerable to genetic mutations and malignancies, including risk of exposure to Agent Orange, smoking, substance abuse, and asbestos. This area is understudied and extremely sparse in the literature for frequency of genetic mutations, risk factors in solid malignancies occurring in the veteran patient population, and the clinical impact of these risk factors. We herein present a quality assurance study for the utility of liquid biopsies regarding the frequency of DNA damage repair (DDR) gene, Tp53, and androgen receptor (AR) mutations. The clinical impact in advanced lung and prostate cancers in the veteran patient population and frequency are the quality assurance observations that are the study endpoints.

 

Methods

We reviewed for quality assurance documentation from the Foundation Medicine (www.foundationmedicine.com) cancer biomarker tests on liquid biopsies performed at the Corporal Michael J. Crescenz Veteran Affairs Medical Center in Philadelphia, Pennsylvania from May 2019 to April 15, 2020. All biopsies were performed on cancers with biochemical, imaging or tissue evidence of advanced tumor progression. The testing was performed on advanced solid malignancies, including NSCLC, prostate adenocarcinoma, and metastatic colon cancer. Statistical data for adequacy; cases with notable mutations; frequency; and type of mutations of AR, DDR, and Tp53 were noted. General and specific risk factors associated with the veteran patient population were studied and matched with the type of mutations (Table 1).

Demographics of Patients Receiving Liquid Biopsies table

Results

Thirty-one liquid biopsies were performed over this period—23 for prostate cancer, 7 for patients with lung cancer patients, and 1 for a patient with colon cancer. Of 31 cases, sensitivity/adequacy of liquid biopsy for genetic mutation was detected in 29 (93.5%) cases (Figure 1). Two inadequate biopsies (both from patients with prostate cancer) were excluded from the study, leaving 29 liquid biopsies with adequate ctDNA for analysis that were considered for further statistical purpose—21 prostate, 7 lung, and 1 colon cancer.

Liquid biopsy performed in veteran population figure

Multiple (common and different) genetic mutations were identified; however, our study subcategorized the mutations into the those that were related to prostate cancer, lung cancer, and some common mutations that occur in both cancers. Only the significant ones will be discussed in this review and equivocal result for AR is excluded from this study. Of the 21 prostate cancers, 4 (19.0%) had directed the targeted therapy to driver mutation (AR being most common in prostate cancer), while KRAS mutation, which was more common in lung cancer, was detected in 2/7 (28.6%) lung cancers. Mutations common to both cancer types were DDR gene mutations, which is a broad name for numerous genes including CDK12, ATM, and CHEK2.

Of all cases irrespective of the cancer type, 23/29 (79.3%) showed notable mutations. DDR gene mutations were found in 6 of 21 (28.5%) patients with prostate cancer and 8 of 23 (34.7%) patients with advanced prostate and lung cancers, indicating poor outcome and possible resistance to the current therapy. Of 23 patients showing mutations irrespective of the cancer type, 15 (65.2%) harbored Tp53 mutations, which is much more frequent in veteran patient population when compared with the literature. Fifteen of the 31 (48.4%) total patients were Vietnam War-era veterans who were potentially exposed to Agent Orange and 20 (64.5%) patients who were not Vietnam War-era veterans had a history that included smoking (Figure 2).

 

 

Discussion

The veteran patient population is a unique cohort due to its distinct demographic characteristics with a high volume of cancer cases diagnosed each year. According to data from VA Central Cancer Registry (VACCR), the most frequently diagnosed cancers are prostate (29%) and lung (18%).6

Liquid biopsy is a novel, promising technology that uses ctDNA and circulating tumor cells in peripheral blood for detecting genetic alterations through next generation sequencing.7-9 The advent of this minimally invasive, revolutionary technology has been a breakthrough in the field of precision oncology for prognosis, to monitor treatment response or resistance to therapy and further personalize cancer therapy.9,10

Comprehensive genomic profiling by liquid biopsy has many advantages over the molecular studies performed on tissue biopsy. Due to the tumor heterogeneity, tissue samples may not represent the full profile of the tumor genomics of cancer, while liquid biopsy has full presentation of the disease.11,12 Many times, tissue biopsy may be limited by a sample size that precludes full genetic profiling in addition to higher total cost, potential technical issues during processing, and possible side effects of the biopsy procedure.7,13 Additionally, as the tumor progresses, new driver mutations other than the ones previously detected on the primary tissue may emerge, which can confer resistance to the existing therapy.7,13

Advanced prostatic and lung carcinomas with biochemical, distant organ, or bony progression harbor unique signature genetic mutations indicating poor prognosis, lack of response or resistance to the existing therapy, and high risk of relapse.14,15 Some of the unique characteristics of the veteran patient population include a more aged patient population multiple comorbidities, higher frequency of > 1 type of cancer, advanced cancer stage at presentation, and specific risks factors such as exposure to Agent Orange in veterans who served during the Vietnam War era.16,17 We studied the utility of liquid biopsy in cancer care, including type and incidence of genomic alterations associated with advanced prostate and lung cancers, in this unique patient population.

The amount of cell-free DNA (cfDNA), also known as ctDNA varies widely in cancer patients. Some of the factors associated with low concentration of cfDNA are disease stage, intervening therapy, proliferation rates, and tumor vascularization.18,19 In the peripheral blood, of the total cfDNA, fractions of cfDNA varies from 0.01 to 90%.18,19 All samples containing ≥ 20 ng cfDNA (20 - 100 ng) were subjected to the hybrid capture-based NGS FoundationACT assay.20 In our study, 2 specimens did not meet the minimum criteria of adequacy (20 ng cfDNA); however, the overall adequacy rate for the detection of mutation, irrespective of the cancer type was 29 of 31 (93.5%) with only 2 inadequate samples. This rate is higher than the rate reported in the literature, which is about 70%.20

Significant differences were encountered in the incidence of DNA damage repair genes including Tp53 mutations when compared with those in the general patient population (Table 2). According to recent National Comprehensive Cancer Network (NCCN) guidelines, all prostate cancers should be screened for DDR gene mutations as these genes are common in aggressive prostate cancers and strongly associated with poor outcomes and shortened survival. Due to relatively high frequency of DDR gene mutations in advanced prostatic cancers, liquid biopsy in patients with these advanced stage prostate cancers may be a useful tool in clinical decision making and exploring targeted therapy.20

Genetic Mutations in Advanced Prostate and Lung Cancers Liquid Biopsies table

Mutations in BRCA2, ATM, CDK12, and CHEK2 (DDR gene family) are common. Incidence of ATM and CDK12 mutations in the literature is 3 to 6% of cases.21 Of 21 liquid biopsies of advanced prostate cancer patients, we found combined DDR gene mutation of ATM, CHEK2, and CDK12 genes in 6 (28.5%) cases, which is substantially higher than the 3 to 6% rate reported in the literature.21-24 Of the 23 patients who had notable mutations in our liquid biopsies, including both advanced prostate and lung cancer cases, 8 (34.7%) also showed mutation of the genes of DDR family. Our study did not show BRCA2 mutation, which is otherwise common in the literature.

We also evaluated the frequency of the most commonly occurring genetic mutations, Tp53 in advanced solid malignancies, especially advanced prostate and NSCLC. Previous studies have reported Tp53 mutation in association with risk factors (carcinogens) of cancer and have been a surrogate marker of poor survival or lack of response of therapy.25 Knowledge of Tp53 mutation is crucial for closer disease monitoring, preparing the patient for rapid progression, and encouraging the physician to prepare future lines of therapy.25-27 Although Tp53 mutation varies with histologic type and tissue of origin, Beltran and colleagues reported it in 30 to 40% of tumors, while Robles and colleagues reported about 40 to 42% incidence.25,27

Our study showed notable mutations in 23 of 29 adequate cases. Further, our study showed a high frequency of mutated Tp53 in 65.2% of combined advanced prostate and NSCLC cases. We then correlated cases of Vietnam War-era veterans with risk potential of Agent Orange exposure and Tp53 mutation. We found 7 of 15 Vietnam War-era veterans were positive for Tp53 mutations irrespective of the cancer type. The high incidence of Tp53 mutations in advanced prostate and lung carcinomas in the veteran patient population makes this tumor marker an aspiration not only as a surrogate of aggressive disease and tumor progression, but also as a key marker for targeted therapy in advanced prostate and lung cancers with loss of Tp53 function (Figure 3).

Study Population Histories and Frequency of Specific Mutations figures


Mutations and amplifications in the AR gene are fundamental to progression of prostate cancer associated with advanced, hormone-refractory prostate cancer with the potential for targeted therapy with AR inhibitors. In our study, AR amplification was detected in 4 of 21 (19%) advanced prostate cancer cases, which is significantly lower than the 30 to 50% previously reported in the literature.28-32 Neither AR amplification or mutation was noted in advanced NSCLC in our study as previously reported in literature by Brennan and colleagues and Wang and colleagues.33-35 This is significant as it provides a pathway for future studies to focus on additional driver mutations for targeted therapies in advanced prostate carcinoma. To date, AR gene mutation does not play a role for personalized therapy in advanced NSCLC. Perhaps, a large cohort study with longitudinal analysis is needed for absolutely ruling out the possibility of personalized medicine in advanced lung cancer using this biomarker.

 

 

Conclusions

Liquid biopsy successfully provides precision-based oncology and information for decision making in this unique population of veterans. Difference in frequency of the genetic mutations in this cohort can provide future insight into disease progression, lack of response, and mechanism of resistance to the implemented therapy. Future studies focused on this veteran patient population are needed for developing targeted therapies and patient tailored oncologic therapy. ctDNA has a high potential for monitoring clinically relevant cancer-related genetic and epigenetic modifications for discovering more detailed information on the tumor characterization. Although larger cohort trial with longitudinal analyses are needed, high prevalence of DDR gene and Tp53 mutation in our study instills promising hope for therapeutic interventions in this unique cohort.

The minimally invasive liquid biopsy shows a great promise as both diagnostic and prognostic tool in the personalized clinical management of advanced prostate, and NSCLC in the veteran patient population with unique demographic characteristics. De novo metastatic prostate cancer is more common in veterans when compared with the general population, and therefore veterans may benefit by liquid biopsy. Differences in the frequency of genetic mutations (DDR, TP53, AR) in this cohort provides valuable information for disease progression, lack of response, mechanism of resistance to the implemented therapy and clinical decision making. Precision oncology can be further tailored for this cohort by focusing on DNA repair genes and Tp53 mutations for future targeted therapy.

References

1. Palmirotta R, Lovero D, Cafforio P, et al. Liquid biopsy of cancer: a multimodal diagnostic tool in clinical oncology. Ther Adv Med Oncol. 2018;10:1758835918794630. Published 2018 Aug 29. doi:10.1177/1758835918794630

2. Ilié M, Hofman P. Pros: Can tissue biopsy be replaced by liquid biopsy? Transl Lung Cancer Res. 2016;5(4):420-423. doi:10.21037/tlcr.2016.08.06

3. Barbieri CE, Bangma CH, Bjartell A, et al. The mutational landscape of prostate cancer. Eur Urol. 2013;64(4):567-576. doi:10.1016/j.eururo.2013.05.029

4. Ahrendt SA, Hu Y, Buta M, et al. p53 mutations and survival in stage I non-small-cell lung cancer: results of a prospective study. J Natl Cancer Inst. 2003;95(13):961-970. doi:10.1093/jnci/95.13.961

5. Robles AI, Harris CC. Clinical outcomes and correlates of TP53 mutations and cancer. Cold Spring Harb Perspect Biol. 2010;2(3):a001016. doi:10.1101/cshperspect.a001016

6. Zullig LL, Sims KJ, McNeil R, et al. Cancer incidence among patients of the U.S. Veterans Affairs health care system: 2010 Update. Mil Med. 2017;182(7):e1883-e1891. doi:10.7205/MILMED-D-16-00371

7. Mathai RA, Vidya RVS, Reddy BS, et al. Potential utility of liquid biopsy as a diagnostic and prognostic tool for the assessment of solid tumors: implications in the precision oncology. J Clin Med. 2019;8(3):373. Published 2019 Mar 18. doi:10.3390/jcm8030373

8. Elazezy M, Joosse SA. Techniques of using circulating tumor DNA as a liquid biopsy component in cancer management. Comput Struct Biotechnol J. 2018;16:370-378. Published 2018 Oct 9. doi:10.1016/j.csbj.2018.10.002

9. Tsongalis, G. Advances in Molecular Pathology. Vol 2-1, 1st ed. Elsevier; 2019.

10. Mattox AK, Bettegowda C, Zhou S, Papadopoulos N, Kinzler KW, Vogelstein B. Applications of liquid biopsies for cancer. Sci Transl Med. 2019;11(507):eaay1984. doi:10.1126/scitranslmed.aay1984

11. Wu X, Zhu L, Ma PC. Next-generation novel noninvasive cancer molecular diagnostics platforms beyond tissues. Am Soc Clin Oncol Educ Book. 2018;38(38):964-977. doi:10.1200/EDBK_199767

12. Bratulic S, Gatto F, Nielsen J. The translational status of cancer liquid biopsies. Regen Eng Transl Med. 2019. Published November 25, 2019. doi:10.1007/s40883-019-00141-2

13. Mathai RA, Vidya RVS, Reddy BS, et al. Potential utility of liquid biopsy as a diagnostic and prognostic tool for the assessment of solid tumors: implications in the precision oncology. J Clin Med. 2019;8(3):373. Published 2019 Mar 18. doi:10.3390/jcm8030373

14. Fredsøe J, Rasmussen AKI, Mouritzen P, et al. Profiling of circulating microRNAs in prostate cancer reveals diagnostic biomarker potential. Diagnostics (Basel). 2020;10(4):188. Published 2020 Mar 28. doi:10.3390/diagnostics10040188

15. Bronkhorst AJ, Ungerer V, Holdenrieder S. The emerging role of cell-free DNA as a molecular marker for cancer management. Biomol Detect Quantif. 2019;17:100087. Published 2019 Mar 18. doi:10.1016/j.bdq.2019.100087

16. Institute of Medicine (US) Committee to Review the Health Effects in Vietnam Veterans of Exposure to Herbicides (Fourth Biennial Update). Veterans and Agent Orange: Update 2002. National Academies Press (US); 2003.

17. Eibner C, Krull H, Brown KM, et al. Current and projected characteristics and unique health care needs of the patient population served by the Department of Veterans Affairs. Rand Health Q. 2016;5(4):13. Published 2016 May 9.

18. Saarenheimo J, Eigeliene N, Andersen H, Tiirola M, Jekunen A. The value of liquid biopsies for guiding therapy decisions in non-small cell lung cancer. Front Oncol. 2019;9:129. Published 2019 Mar 5.doi:10.3389/fonc.2019.00129

19. Bronkhorst AJ, Ungerer V, Holdenrieder S. The emerging role of cell-free DNA as a molecular marker for cancer management. Biomol Detect Quantif. 2019;17:100087. Published 2019 Mar 18. doi:10.1016/j.bdq.2019.100087

20. Warner EW, Yip SM, Chi KN, Wyatt AW. DNA repair defects in prostate cancer: impact for screening, prognostication and treatment. BJU Int. 2019;123(5):769-776. doi:10.1111/bju.14576

21. Robinson D, Van Allen EM, Wu YM, et al. Integrative clinical genomics of advanced prostate cancer [published correction appears in Cell. 2015 Jul 16;162(2):454]. Cell. 2015;161(5):1215-1228. doi:10.1016/j.cell.2015.05.001

22. Annala M, Vandekerkhove G, Khalaf D, et al. Circulating tumor DNA genomics correlate with resistance to abiraterone and enzalutamide in prostate cancer. Cancer Discov. 2018;8(4):444-457. doi:10.1158/2159-8290.CD-17-0937

23. Vandekerkhove G, Struss WJ, Annala M, et al. Circulating tumor DNA abundance and potential utility in de novo metastatic prostate cancer. Eur Urol. 2019;75(4):667-675. doi:10.1016/j.eururo.2018.12.042

24. Pritchard CC, Mateo J, Walsh MF, et al. Inherited DNA-repair gene mutations in men with metastatic prostate cancer. N Engl J Med. 2016;375(5):443-453. doi:10.1056/NEJMoa1603144

25. Robles AI, Jen J, Harris CC. Clinical outcomes of TP53 mutations in cancers. Cold Spring Harb Perspect Med. 2016;6(9):a026294. Published 2016 Sep 1. doi:10.1101/cshperspect.a026294

26. Bettegowda C, Sausen M, Leary RJ, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med. 2014;6(224):224ra24. doi:10.1126/scitranslmed.3007094

27. Beltran H, Yelensky R, Frampton GM, et al. Targeted next-generation sequencing of advanced prostate cancer identifies potential therapeutic targets and disease heterogeneity. Eur Urol. 2013;63(5):920-926. doi:10.1016/j.eururo.2012.08.053

28. Visakorpi T, Hyytinen E, Koivisto P, et al. In vivo amplification of the androgen receptor gene and progression of human prostate cancer. Nat Genet. 1995;9(4):401-406. doi:10.1038/ng0495-401

29. Fujita K, Nonomura N. Role of androgen receptor in prostate cancer: a review. World J Mens Health. 2019;37(3):288-295. doi:10.5534/wjmh.180040

30. Zhang X, Hong SZ, Lin EJ, Wang DY, Li ZJ, Chen LI. Amplification and protein expression of androgen receptor gene in prostate cancer cells: fluorescence in situ hybridization analysis. Oncol Lett. 2015;9(6):2617-2622. doi:10.3892/ol.2015.3114

31. Antonarakis ES, Lu C, Luber B, et al. Clinical significance of androgen receptor splice variant-7 mRNA detection in circulating tumor cells of men with metastatic castration-resistant prostate cancer treated with first- and second-line abiraterone and enzalutamide. J Clin Oncol. 2017;35(19):2149-2156. doi:10.1200/JCO.2016.70.1961

32. Helgstrand JT, Røder MA, Klemann N, et al. Trends in incidence and 5-year mortality in men with newly diagnosed, metastatic prostate cancer-A population-based analysis of 2 national cohorts. Cancer. 2018;124(14):2931-2938. doi:10.1002/cncr.31384

<--pagebreak-->

33. Jung A, Kirchner T. Liquid biopsy in tumor genetic diagnosis. Dtsch Arztebl Int. 2018;115(10):169-174. doi:10.3238/arztebl.2018.0169

34. Brennan S, Wang AR, Beyer H, et al. Androgen receptor as a potential target in non-small cell lung cancer. Cancer Res. 2017;77(Suppl13): abstract nr 4121. doi:10.1158/1538-7445.AM2017-4121

35. Wang AR, Beyer H, Brennan S, et al. Androgen receptor drives differential gene expression in KRAS-mediated non-small cell lung cancer. Cancer Res. 2018;78(Suppl 13): abstract nr 3946. doi:10.1158/1538-7445.AM2018-3946

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Sharvari Dalal and Jeffrey Petersen are Staff Pathologists and Darshana Jhala is Chief, Pathology and Laboratory Medicine, all at Corporal Michael J. Crescenz Veteran Affairs Medical Center in Philadelphia, Pennsylvania. Sharvari Dalal is Adjunct Assistant Professor of Clinical Pathology and Laboratory Medicine, Jeffrey Petersen is Assistant Professor of Clinical Pathology and Laboratory Medicine and Darshana Jhala is Professor of Clinical Pathology and Laboratory Medicine, all at the University of Pennsylvania Perelman School of Medicine.
Correspondence: Sharvari Dalal (sharvari.dalal@va.gov)

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Correspondence: Sharvari Dalal (sharvari.dalal@va.gov)

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Sharvari Dalal and Jeffrey Petersen are Staff Pathologists and Darshana Jhala is Chief, Pathology and Laboratory Medicine, all at Corporal Michael J. Crescenz Veteran Affairs Medical Center in Philadelphia, Pennsylvania. Sharvari Dalal is Adjunct Assistant Professor of Clinical Pathology and Laboratory Medicine, Jeffrey Petersen is Assistant Professor of Clinical Pathology and Laboratory Medicine and Darshana Jhala is Professor of Clinical Pathology and Laboratory Medicine, all at the University of Pennsylvania Perelman School of Medicine.
Correspondence: Sharvari Dalal (sharvari.dalal@va.gov)

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Related Articles

The advent of liquid biopsies targeting genetic mutations in solid tumors is a major milestone in the field of precision oncology.1 Conventional methods of obtaining tissue for molecular studies are limited by sample size and often do not represent the entire bulk of the tumor.2 This newer minimally invasive, revolutionary technique analyzes circulating cell-free DNA carrying tumor-specific alterations (circulating tumor DNA [ctDNA]) in peripheral blood and detects signature genomic alterations.1 Tp53 mutations have been reported in 25 to 40% of prostatic cancers and > 50% of non-small cell lung cancers (NSCLC), being more common in late-stage and hormone refractory prostate cancers.3,4 Tp53 mutation has been found to be associated with poor prognosis and increased germline mutations.5

The veteran patient population has distinct demographic characteristics that make veterans more vulnerable to genetic mutations and malignancies, including risk of exposure to Agent Orange, smoking, substance abuse, and asbestos. This area is understudied and extremely sparse in the literature for frequency of genetic mutations, risk factors in solid malignancies occurring in the veteran patient population, and the clinical impact of these risk factors. We herein present a quality assurance study for the utility of liquid biopsies regarding the frequency of DNA damage repair (DDR) gene, Tp53, and androgen receptor (AR) mutations. The clinical impact in advanced lung and prostate cancers in the veteran patient population and frequency are the quality assurance observations that are the study endpoints.

 

Methods

We reviewed for quality assurance documentation from the Foundation Medicine (www.foundationmedicine.com) cancer biomarker tests on liquid biopsies performed at the Corporal Michael J. Crescenz Veteran Affairs Medical Center in Philadelphia, Pennsylvania from May 2019 to April 15, 2020. All biopsies were performed on cancers with biochemical, imaging or tissue evidence of advanced tumor progression. The testing was performed on advanced solid malignancies, including NSCLC, prostate adenocarcinoma, and metastatic colon cancer. Statistical data for adequacy; cases with notable mutations; frequency; and type of mutations of AR, DDR, and Tp53 were noted. General and specific risk factors associated with the veteran patient population were studied and matched with the type of mutations (Table 1).

Demographics of Patients Receiving Liquid Biopsies table

Results

Thirty-one liquid biopsies were performed over this period—23 for prostate cancer, 7 for patients with lung cancer patients, and 1 for a patient with colon cancer. Of 31 cases, sensitivity/adequacy of liquid biopsy for genetic mutation was detected in 29 (93.5%) cases (Figure 1). Two inadequate biopsies (both from patients with prostate cancer) were excluded from the study, leaving 29 liquid biopsies with adequate ctDNA for analysis that were considered for further statistical purpose—21 prostate, 7 lung, and 1 colon cancer.

Liquid biopsy performed in veteran population figure

Multiple (common and different) genetic mutations were identified; however, our study subcategorized the mutations into the those that were related to prostate cancer, lung cancer, and some common mutations that occur in both cancers. Only the significant ones will be discussed in this review and equivocal result for AR is excluded from this study. Of the 21 prostate cancers, 4 (19.0%) had directed the targeted therapy to driver mutation (AR being most common in prostate cancer), while KRAS mutation, which was more common in lung cancer, was detected in 2/7 (28.6%) lung cancers. Mutations common to both cancer types were DDR gene mutations, which is a broad name for numerous genes including CDK12, ATM, and CHEK2.

Of all cases irrespective of the cancer type, 23/29 (79.3%) showed notable mutations. DDR gene mutations were found in 6 of 21 (28.5%) patients with prostate cancer and 8 of 23 (34.7%) patients with advanced prostate and lung cancers, indicating poor outcome and possible resistance to the current therapy. Of 23 patients showing mutations irrespective of the cancer type, 15 (65.2%) harbored Tp53 mutations, which is much more frequent in veteran patient population when compared with the literature. Fifteen of the 31 (48.4%) total patients were Vietnam War-era veterans who were potentially exposed to Agent Orange and 20 (64.5%) patients who were not Vietnam War-era veterans had a history that included smoking (Figure 2).

 

 

Discussion

The veteran patient population is a unique cohort due to its distinct demographic characteristics with a high volume of cancer cases diagnosed each year. According to data from VA Central Cancer Registry (VACCR), the most frequently diagnosed cancers are prostate (29%) and lung (18%).6

Liquid biopsy is a novel, promising technology that uses ctDNA and circulating tumor cells in peripheral blood for detecting genetic alterations through next generation sequencing.7-9 The advent of this minimally invasive, revolutionary technology has been a breakthrough in the field of precision oncology for prognosis, to monitor treatment response or resistance to therapy and further personalize cancer therapy.9,10

Comprehensive genomic profiling by liquid biopsy has many advantages over the molecular studies performed on tissue biopsy. Due to the tumor heterogeneity, tissue samples may not represent the full profile of the tumor genomics of cancer, while liquid biopsy has full presentation of the disease.11,12 Many times, tissue biopsy may be limited by a sample size that precludes full genetic profiling in addition to higher total cost, potential technical issues during processing, and possible side effects of the biopsy procedure.7,13 Additionally, as the tumor progresses, new driver mutations other than the ones previously detected on the primary tissue may emerge, which can confer resistance to the existing therapy.7,13

Advanced prostatic and lung carcinomas with biochemical, distant organ, or bony progression harbor unique signature genetic mutations indicating poor prognosis, lack of response or resistance to the existing therapy, and high risk of relapse.14,15 Some of the unique characteristics of the veteran patient population include a more aged patient population multiple comorbidities, higher frequency of > 1 type of cancer, advanced cancer stage at presentation, and specific risks factors such as exposure to Agent Orange in veterans who served during the Vietnam War era.16,17 We studied the utility of liquid biopsy in cancer care, including type and incidence of genomic alterations associated with advanced prostate and lung cancers, in this unique patient population.

The amount of cell-free DNA (cfDNA), also known as ctDNA varies widely in cancer patients. Some of the factors associated with low concentration of cfDNA are disease stage, intervening therapy, proliferation rates, and tumor vascularization.18,19 In the peripheral blood, of the total cfDNA, fractions of cfDNA varies from 0.01 to 90%.18,19 All samples containing ≥ 20 ng cfDNA (20 - 100 ng) were subjected to the hybrid capture-based NGS FoundationACT assay.20 In our study, 2 specimens did not meet the minimum criteria of adequacy (20 ng cfDNA); however, the overall adequacy rate for the detection of mutation, irrespective of the cancer type was 29 of 31 (93.5%) with only 2 inadequate samples. This rate is higher than the rate reported in the literature, which is about 70%.20

Significant differences were encountered in the incidence of DNA damage repair genes including Tp53 mutations when compared with those in the general patient population (Table 2). According to recent National Comprehensive Cancer Network (NCCN) guidelines, all prostate cancers should be screened for DDR gene mutations as these genes are common in aggressive prostate cancers and strongly associated with poor outcomes and shortened survival. Due to relatively high frequency of DDR gene mutations in advanced prostatic cancers, liquid biopsy in patients with these advanced stage prostate cancers may be a useful tool in clinical decision making and exploring targeted therapy.20

Genetic Mutations in Advanced Prostate and Lung Cancers Liquid Biopsies table

Mutations in BRCA2, ATM, CDK12, and CHEK2 (DDR gene family) are common. Incidence of ATM and CDK12 mutations in the literature is 3 to 6% of cases.21 Of 21 liquid biopsies of advanced prostate cancer patients, we found combined DDR gene mutation of ATM, CHEK2, and CDK12 genes in 6 (28.5%) cases, which is substantially higher than the 3 to 6% rate reported in the literature.21-24 Of the 23 patients who had notable mutations in our liquid biopsies, including both advanced prostate and lung cancer cases, 8 (34.7%) also showed mutation of the genes of DDR family. Our study did not show BRCA2 mutation, which is otherwise common in the literature.

We also evaluated the frequency of the most commonly occurring genetic mutations, Tp53 in advanced solid malignancies, especially advanced prostate and NSCLC. Previous studies have reported Tp53 mutation in association with risk factors (carcinogens) of cancer and have been a surrogate marker of poor survival or lack of response of therapy.25 Knowledge of Tp53 mutation is crucial for closer disease monitoring, preparing the patient for rapid progression, and encouraging the physician to prepare future lines of therapy.25-27 Although Tp53 mutation varies with histologic type and tissue of origin, Beltran and colleagues reported it in 30 to 40% of tumors, while Robles and colleagues reported about 40 to 42% incidence.25,27

Our study showed notable mutations in 23 of 29 adequate cases. Further, our study showed a high frequency of mutated Tp53 in 65.2% of combined advanced prostate and NSCLC cases. We then correlated cases of Vietnam War-era veterans with risk potential of Agent Orange exposure and Tp53 mutation. We found 7 of 15 Vietnam War-era veterans were positive for Tp53 mutations irrespective of the cancer type. The high incidence of Tp53 mutations in advanced prostate and lung carcinomas in the veteran patient population makes this tumor marker an aspiration not only as a surrogate of aggressive disease and tumor progression, but also as a key marker for targeted therapy in advanced prostate and lung cancers with loss of Tp53 function (Figure 3).

Study Population Histories and Frequency of Specific Mutations figures


Mutations and amplifications in the AR gene are fundamental to progression of prostate cancer associated with advanced, hormone-refractory prostate cancer with the potential for targeted therapy with AR inhibitors. In our study, AR amplification was detected in 4 of 21 (19%) advanced prostate cancer cases, which is significantly lower than the 30 to 50% previously reported in the literature.28-32 Neither AR amplification or mutation was noted in advanced NSCLC in our study as previously reported in literature by Brennan and colleagues and Wang and colleagues.33-35 This is significant as it provides a pathway for future studies to focus on additional driver mutations for targeted therapies in advanced prostate carcinoma. To date, AR gene mutation does not play a role for personalized therapy in advanced NSCLC. Perhaps, a large cohort study with longitudinal analysis is needed for absolutely ruling out the possibility of personalized medicine in advanced lung cancer using this biomarker.

 

 

Conclusions

Liquid biopsy successfully provides precision-based oncology and information for decision making in this unique population of veterans. Difference in frequency of the genetic mutations in this cohort can provide future insight into disease progression, lack of response, and mechanism of resistance to the implemented therapy. Future studies focused on this veteran patient population are needed for developing targeted therapies and patient tailored oncologic therapy. ctDNA has a high potential for monitoring clinically relevant cancer-related genetic and epigenetic modifications for discovering more detailed information on the tumor characterization. Although larger cohort trial with longitudinal analyses are needed, high prevalence of DDR gene and Tp53 mutation in our study instills promising hope for therapeutic interventions in this unique cohort.

The minimally invasive liquid biopsy shows a great promise as both diagnostic and prognostic tool in the personalized clinical management of advanced prostate, and NSCLC in the veteran patient population with unique demographic characteristics. De novo metastatic prostate cancer is more common in veterans when compared with the general population, and therefore veterans may benefit by liquid biopsy. Differences in the frequency of genetic mutations (DDR, TP53, AR) in this cohort provides valuable information for disease progression, lack of response, mechanism of resistance to the implemented therapy and clinical decision making. Precision oncology can be further tailored for this cohort by focusing on DNA repair genes and Tp53 mutations for future targeted therapy.

The advent of liquid biopsies targeting genetic mutations in solid tumors is a major milestone in the field of precision oncology.1 Conventional methods of obtaining tissue for molecular studies are limited by sample size and often do not represent the entire bulk of the tumor.2 This newer minimally invasive, revolutionary technique analyzes circulating cell-free DNA carrying tumor-specific alterations (circulating tumor DNA [ctDNA]) in peripheral blood and detects signature genomic alterations.1 Tp53 mutations have been reported in 25 to 40% of prostatic cancers and > 50% of non-small cell lung cancers (NSCLC), being more common in late-stage and hormone refractory prostate cancers.3,4 Tp53 mutation has been found to be associated with poor prognosis and increased germline mutations.5

The veteran patient population has distinct demographic characteristics that make veterans more vulnerable to genetic mutations and malignancies, including risk of exposure to Agent Orange, smoking, substance abuse, and asbestos. This area is understudied and extremely sparse in the literature for frequency of genetic mutations, risk factors in solid malignancies occurring in the veteran patient population, and the clinical impact of these risk factors. We herein present a quality assurance study for the utility of liquid biopsies regarding the frequency of DNA damage repair (DDR) gene, Tp53, and androgen receptor (AR) mutations. The clinical impact in advanced lung and prostate cancers in the veteran patient population and frequency are the quality assurance observations that are the study endpoints.

 

Methods

We reviewed for quality assurance documentation from the Foundation Medicine (www.foundationmedicine.com) cancer biomarker tests on liquid biopsies performed at the Corporal Michael J. Crescenz Veteran Affairs Medical Center in Philadelphia, Pennsylvania from May 2019 to April 15, 2020. All biopsies were performed on cancers with biochemical, imaging or tissue evidence of advanced tumor progression. The testing was performed on advanced solid malignancies, including NSCLC, prostate adenocarcinoma, and metastatic colon cancer. Statistical data for adequacy; cases with notable mutations; frequency; and type of mutations of AR, DDR, and Tp53 were noted. General and specific risk factors associated with the veteran patient population were studied and matched with the type of mutations (Table 1).

Demographics of Patients Receiving Liquid Biopsies table

Results

Thirty-one liquid biopsies were performed over this period—23 for prostate cancer, 7 for patients with lung cancer patients, and 1 for a patient with colon cancer. Of 31 cases, sensitivity/adequacy of liquid biopsy for genetic mutation was detected in 29 (93.5%) cases (Figure 1). Two inadequate biopsies (both from patients with prostate cancer) were excluded from the study, leaving 29 liquid biopsies with adequate ctDNA for analysis that were considered for further statistical purpose—21 prostate, 7 lung, and 1 colon cancer.

Liquid biopsy performed in veteran population figure

Multiple (common and different) genetic mutations were identified; however, our study subcategorized the mutations into the those that were related to prostate cancer, lung cancer, and some common mutations that occur in both cancers. Only the significant ones will be discussed in this review and equivocal result for AR is excluded from this study. Of the 21 prostate cancers, 4 (19.0%) had directed the targeted therapy to driver mutation (AR being most common in prostate cancer), while KRAS mutation, which was more common in lung cancer, was detected in 2/7 (28.6%) lung cancers. Mutations common to both cancer types were DDR gene mutations, which is a broad name for numerous genes including CDK12, ATM, and CHEK2.

Of all cases irrespective of the cancer type, 23/29 (79.3%) showed notable mutations. DDR gene mutations were found in 6 of 21 (28.5%) patients with prostate cancer and 8 of 23 (34.7%) patients with advanced prostate and lung cancers, indicating poor outcome and possible resistance to the current therapy. Of 23 patients showing mutations irrespective of the cancer type, 15 (65.2%) harbored Tp53 mutations, which is much more frequent in veteran patient population when compared with the literature. Fifteen of the 31 (48.4%) total patients were Vietnam War-era veterans who were potentially exposed to Agent Orange and 20 (64.5%) patients who were not Vietnam War-era veterans had a history that included smoking (Figure 2).

 

 

Discussion

The veteran patient population is a unique cohort due to its distinct demographic characteristics with a high volume of cancer cases diagnosed each year. According to data from VA Central Cancer Registry (VACCR), the most frequently diagnosed cancers are prostate (29%) and lung (18%).6

Liquid biopsy is a novel, promising technology that uses ctDNA and circulating tumor cells in peripheral blood for detecting genetic alterations through next generation sequencing.7-9 The advent of this minimally invasive, revolutionary technology has been a breakthrough in the field of precision oncology for prognosis, to monitor treatment response or resistance to therapy and further personalize cancer therapy.9,10

Comprehensive genomic profiling by liquid biopsy has many advantages over the molecular studies performed on tissue biopsy. Due to the tumor heterogeneity, tissue samples may not represent the full profile of the tumor genomics of cancer, while liquid biopsy has full presentation of the disease.11,12 Many times, tissue biopsy may be limited by a sample size that precludes full genetic profiling in addition to higher total cost, potential technical issues during processing, and possible side effects of the biopsy procedure.7,13 Additionally, as the tumor progresses, new driver mutations other than the ones previously detected on the primary tissue may emerge, which can confer resistance to the existing therapy.7,13

Advanced prostatic and lung carcinomas with biochemical, distant organ, or bony progression harbor unique signature genetic mutations indicating poor prognosis, lack of response or resistance to the existing therapy, and high risk of relapse.14,15 Some of the unique characteristics of the veteran patient population include a more aged patient population multiple comorbidities, higher frequency of > 1 type of cancer, advanced cancer stage at presentation, and specific risks factors such as exposure to Agent Orange in veterans who served during the Vietnam War era.16,17 We studied the utility of liquid biopsy in cancer care, including type and incidence of genomic alterations associated with advanced prostate and lung cancers, in this unique patient population.

The amount of cell-free DNA (cfDNA), also known as ctDNA varies widely in cancer patients. Some of the factors associated with low concentration of cfDNA are disease stage, intervening therapy, proliferation rates, and tumor vascularization.18,19 In the peripheral blood, of the total cfDNA, fractions of cfDNA varies from 0.01 to 90%.18,19 All samples containing ≥ 20 ng cfDNA (20 - 100 ng) were subjected to the hybrid capture-based NGS FoundationACT assay.20 In our study, 2 specimens did not meet the minimum criteria of adequacy (20 ng cfDNA); however, the overall adequacy rate for the detection of mutation, irrespective of the cancer type was 29 of 31 (93.5%) with only 2 inadequate samples. This rate is higher than the rate reported in the literature, which is about 70%.20

Significant differences were encountered in the incidence of DNA damage repair genes including Tp53 mutations when compared with those in the general patient population (Table 2). According to recent National Comprehensive Cancer Network (NCCN) guidelines, all prostate cancers should be screened for DDR gene mutations as these genes are common in aggressive prostate cancers and strongly associated with poor outcomes and shortened survival. Due to relatively high frequency of DDR gene mutations in advanced prostatic cancers, liquid biopsy in patients with these advanced stage prostate cancers may be a useful tool in clinical decision making and exploring targeted therapy.20

Genetic Mutations in Advanced Prostate and Lung Cancers Liquid Biopsies table

Mutations in BRCA2, ATM, CDK12, and CHEK2 (DDR gene family) are common. Incidence of ATM and CDK12 mutations in the literature is 3 to 6% of cases.21 Of 21 liquid biopsies of advanced prostate cancer patients, we found combined DDR gene mutation of ATM, CHEK2, and CDK12 genes in 6 (28.5%) cases, which is substantially higher than the 3 to 6% rate reported in the literature.21-24 Of the 23 patients who had notable mutations in our liquid biopsies, including both advanced prostate and lung cancer cases, 8 (34.7%) also showed mutation of the genes of DDR family. Our study did not show BRCA2 mutation, which is otherwise common in the literature.

We also evaluated the frequency of the most commonly occurring genetic mutations, Tp53 in advanced solid malignancies, especially advanced prostate and NSCLC. Previous studies have reported Tp53 mutation in association with risk factors (carcinogens) of cancer and have been a surrogate marker of poor survival or lack of response of therapy.25 Knowledge of Tp53 mutation is crucial for closer disease monitoring, preparing the patient for rapid progression, and encouraging the physician to prepare future lines of therapy.25-27 Although Tp53 mutation varies with histologic type and tissue of origin, Beltran and colleagues reported it in 30 to 40% of tumors, while Robles and colleagues reported about 40 to 42% incidence.25,27

Our study showed notable mutations in 23 of 29 adequate cases. Further, our study showed a high frequency of mutated Tp53 in 65.2% of combined advanced prostate and NSCLC cases. We then correlated cases of Vietnam War-era veterans with risk potential of Agent Orange exposure and Tp53 mutation. We found 7 of 15 Vietnam War-era veterans were positive for Tp53 mutations irrespective of the cancer type. The high incidence of Tp53 mutations in advanced prostate and lung carcinomas in the veteran patient population makes this tumor marker an aspiration not only as a surrogate of aggressive disease and tumor progression, but also as a key marker for targeted therapy in advanced prostate and lung cancers with loss of Tp53 function (Figure 3).

Study Population Histories and Frequency of Specific Mutations figures


Mutations and amplifications in the AR gene are fundamental to progression of prostate cancer associated with advanced, hormone-refractory prostate cancer with the potential for targeted therapy with AR inhibitors. In our study, AR amplification was detected in 4 of 21 (19%) advanced prostate cancer cases, which is significantly lower than the 30 to 50% previously reported in the literature.28-32 Neither AR amplification or mutation was noted in advanced NSCLC in our study as previously reported in literature by Brennan and colleagues and Wang and colleagues.33-35 This is significant as it provides a pathway for future studies to focus on additional driver mutations for targeted therapies in advanced prostate carcinoma. To date, AR gene mutation does not play a role for personalized therapy in advanced NSCLC. Perhaps, a large cohort study with longitudinal analysis is needed for absolutely ruling out the possibility of personalized medicine in advanced lung cancer using this biomarker.

 

 

Conclusions

Liquid biopsy successfully provides precision-based oncology and information for decision making in this unique population of veterans. Difference in frequency of the genetic mutations in this cohort can provide future insight into disease progression, lack of response, and mechanism of resistance to the implemented therapy. Future studies focused on this veteran patient population are needed for developing targeted therapies and patient tailored oncologic therapy. ctDNA has a high potential for monitoring clinically relevant cancer-related genetic and epigenetic modifications for discovering more detailed information on the tumor characterization. Although larger cohort trial with longitudinal analyses are needed, high prevalence of DDR gene and Tp53 mutation in our study instills promising hope for therapeutic interventions in this unique cohort.

The minimally invasive liquid biopsy shows a great promise as both diagnostic and prognostic tool in the personalized clinical management of advanced prostate, and NSCLC in the veteran patient population with unique demographic characteristics. De novo metastatic prostate cancer is more common in veterans when compared with the general population, and therefore veterans may benefit by liquid biopsy. Differences in the frequency of genetic mutations (DDR, TP53, AR) in this cohort provides valuable information for disease progression, lack of response, mechanism of resistance to the implemented therapy and clinical decision making. Precision oncology can be further tailored for this cohort by focusing on DNA repair genes and Tp53 mutations for future targeted therapy.

References

1. Palmirotta R, Lovero D, Cafforio P, et al. Liquid biopsy of cancer: a multimodal diagnostic tool in clinical oncology. Ther Adv Med Oncol. 2018;10:1758835918794630. Published 2018 Aug 29. doi:10.1177/1758835918794630

2. Ilié M, Hofman P. Pros: Can tissue biopsy be replaced by liquid biopsy? Transl Lung Cancer Res. 2016;5(4):420-423. doi:10.21037/tlcr.2016.08.06

3. Barbieri CE, Bangma CH, Bjartell A, et al. The mutational landscape of prostate cancer. Eur Urol. 2013;64(4):567-576. doi:10.1016/j.eururo.2013.05.029

4. Ahrendt SA, Hu Y, Buta M, et al. p53 mutations and survival in stage I non-small-cell lung cancer: results of a prospective study. J Natl Cancer Inst. 2003;95(13):961-970. doi:10.1093/jnci/95.13.961

5. Robles AI, Harris CC. Clinical outcomes and correlates of TP53 mutations and cancer. Cold Spring Harb Perspect Biol. 2010;2(3):a001016. doi:10.1101/cshperspect.a001016

6. Zullig LL, Sims KJ, McNeil R, et al. Cancer incidence among patients of the U.S. Veterans Affairs health care system: 2010 Update. Mil Med. 2017;182(7):e1883-e1891. doi:10.7205/MILMED-D-16-00371

7. Mathai RA, Vidya RVS, Reddy BS, et al. Potential utility of liquid biopsy as a diagnostic and prognostic tool for the assessment of solid tumors: implications in the precision oncology. J Clin Med. 2019;8(3):373. Published 2019 Mar 18. doi:10.3390/jcm8030373

8. Elazezy M, Joosse SA. Techniques of using circulating tumor DNA as a liquid biopsy component in cancer management. Comput Struct Biotechnol J. 2018;16:370-378. Published 2018 Oct 9. doi:10.1016/j.csbj.2018.10.002

9. Tsongalis, G. Advances in Molecular Pathology. Vol 2-1, 1st ed. Elsevier; 2019.

10. Mattox AK, Bettegowda C, Zhou S, Papadopoulos N, Kinzler KW, Vogelstein B. Applications of liquid biopsies for cancer. Sci Transl Med. 2019;11(507):eaay1984. doi:10.1126/scitranslmed.aay1984

11. Wu X, Zhu L, Ma PC. Next-generation novel noninvasive cancer molecular diagnostics platforms beyond tissues. Am Soc Clin Oncol Educ Book. 2018;38(38):964-977. doi:10.1200/EDBK_199767

12. Bratulic S, Gatto F, Nielsen J. The translational status of cancer liquid biopsies. Regen Eng Transl Med. 2019. Published November 25, 2019. doi:10.1007/s40883-019-00141-2

13. Mathai RA, Vidya RVS, Reddy BS, et al. Potential utility of liquid biopsy as a diagnostic and prognostic tool for the assessment of solid tumors: implications in the precision oncology. J Clin Med. 2019;8(3):373. Published 2019 Mar 18. doi:10.3390/jcm8030373

14. Fredsøe J, Rasmussen AKI, Mouritzen P, et al. Profiling of circulating microRNAs in prostate cancer reveals diagnostic biomarker potential. Diagnostics (Basel). 2020;10(4):188. Published 2020 Mar 28. doi:10.3390/diagnostics10040188

15. Bronkhorst AJ, Ungerer V, Holdenrieder S. The emerging role of cell-free DNA as a molecular marker for cancer management. Biomol Detect Quantif. 2019;17:100087. Published 2019 Mar 18. doi:10.1016/j.bdq.2019.100087

16. Institute of Medicine (US) Committee to Review the Health Effects in Vietnam Veterans of Exposure to Herbicides (Fourth Biennial Update). Veterans and Agent Orange: Update 2002. National Academies Press (US); 2003.

17. Eibner C, Krull H, Brown KM, et al. Current and projected characteristics and unique health care needs of the patient population served by the Department of Veterans Affairs. Rand Health Q. 2016;5(4):13. Published 2016 May 9.

18. Saarenheimo J, Eigeliene N, Andersen H, Tiirola M, Jekunen A. The value of liquid biopsies for guiding therapy decisions in non-small cell lung cancer. Front Oncol. 2019;9:129. Published 2019 Mar 5.doi:10.3389/fonc.2019.00129

19. Bronkhorst AJ, Ungerer V, Holdenrieder S. The emerging role of cell-free DNA as a molecular marker for cancer management. Biomol Detect Quantif. 2019;17:100087. Published 2019 Mar 18. doi:10.1016/j.bdq.2019.100087

20. Warner EW, Yip SM, Chi KN, Wyatt AW. DNA repair defects in prostate cancer: impact for screening, prognostication and treatment. BJU Int. 2019;123(5):769-776. doi:10.1111/bju.14576

21. Robinson D, Van Allen EM, Wu YM, et al. Integrative clinical genomics of advanced prostate cancer [published correction appears in Cell. 2015 Jul 16;162(2):454]. Cell. 2015;161(5):1215-1228. doi:10.1016/j.cell.2015.05.001

22. Annala M, Vandekerkhove G, Khalaf D, et al. Circulating tumor DNA genomics correlate with resistance to abiraterone and enzalutamide in prostate cancer. Cancer Discov. 2018;8(4):444-457. doi:10.1158/2159-8290.CD-17-0937

23. Vandekerkhove G, Struss WJ, Annala M, et al. Circulating tumor DNA abundance and potential utility in de novo metastatic prostate cancer. Eur Urol. 2019;75(4):667-675. doi:10.1016/j.eururo.2018.12.042

24. Pritchard CC, Mateo J, Walsh MF, et al. Inherited DNA-repair gene mutations in men with metastatic prostate cancer. N Engl J Med. 2016;375(5):443-453. doi:10.1056/NEJMoa1603144

25. Robles AI, Jen J, Harris CC. Clinical outcomes of TP53 mutations in cancers. Cold Spring Harb Perspect Med. 2016;6(9):a026294. Published 2016 Sep 1. doi:10.1101/cshperspect.a026294

26. Bettegowda C, Sausen M, Leary RJ, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med. 2014;6(224):224ra24. doi:10.1126/scitranslmed.3007094

27. Beltran H, Yelensky R, Frampton GM, et al. Targeted next-generation sequencing of advanced prostate cancer identifies potential therapeutic targets and disease heterogeneity. Eur Urol. 2013;63(5):920-926. doi:10.1016/j.eururo.2012.08.053

28. Visakorpi T, Hyytinen E, Koivisto P, et al. In vivo amplification of the androgen receptor gene and progression of human prostate cancer. Nat Genet. 1995;9(4):401-406. doi:10.1038/ng0495-401

29. Fujita K, Nonomura N. Role of androgen receptor in prostate cancer: a review. World J Mens Health. 2019;37(3):288-295. doi:10.5534/wjmh.180040

30. Zhang X, Hong SZ, Lin EJ, Wang DY, Li ZJ, Chen LI. Amplification and protein expression of androgen receptor gene in prostate cancer cells: fluorescence in situ hybridization analysis. Oncol Lett. 2015;9(6):2617-2622. doi:10.3892/ol.2015.3114

31. Antonarakis ES, Lu C, Luber B, et al. Clinical significance of androgen receptor splice variant-7 mRNA detection in circulating tumor cells of men with metastatic castration-resistant prostate cancer treated with first- and second-line abiraterone and enzalutamide. J Clin Oncol. 2017;35(19):2149-2156. doi:10.1200/JCO.2016.70.1961

32. Helgstrand JT, Røder MA, Klemann N, et al. Trends in incidence and 5-year mortality in men with newly diagnosed, metastatic prostate cancer-A population-based analysis of 2 national cohorts. Cancer. 2018;124(14):2931-2938. doi:10.1002/cncr.31384

<--pagebreak-->

33. Jung A, Kirchner T. Liquid biopsy in tumor genetic diagnosis. Dtsch Arztebl Int. 2018;115(10):169-174. doi:10.3238/arztebl.2018.0169

34. Brennan S, Wang AR, Beyer H, et al. Androgen receptor as a potential target in non-small cell lung cancer. Cancer Res. 2017;77(Suppl13): abstract nr 4121. doi:10.1158/1538-7445.AM2017-4121

35. Wang AR, Beyer H, Brennan S, et al. Androgen receptor drives differential gene expression in KRAS-mediated non-small cell lung cancer. Cancer Res. 2018;78(Suppl 13): abstract nr 3946. doi:10.1158/1538-7445.AM2018-3946

References

1. Palmirotta R, Lovero D, Cafforio P, et al. Liquid biopsy of cancer: a multimodal diagnostic tool in clinical oncology. Ther Adv Med Oncol. 2018;10:1758835918794630. Published 2018 Aug 29. doi:10.1177/1758835918794630

2. Ilié M, Hofman P. Pros: Can tissue biopsy be replaced by liquid biopsy? Transl Lung Cancer Res. 2016;5(4):420-423. doi:10.21037/tlcr.2016.08.06

3. Barbieri CE, Bangma CH, Bjartell A, et al. The mutational landscape of prostate cancer. Eur Urol. 2013;64(4):567-576. doi:10.1016/j.eururo.2013.05.029

4. Ahrendt SA, Hu Y, Buta M, et al. p53 mutations and survival in stage I non-small-cell lung cancer: results of a prospective study. J Natl Cancer Inst. 2003;95(13):961-970. doi:10.1093/jnci/95.13.961

5. Robles AI, Harris CC. Clinical outcomes and correlates of TP53 mutations and cancer. Cold Spring Harb Perspect Biol. 2010;2(3):a001016. doi:10.1101/cshperspect.a001016

6. Zullig LL, Sims KJ, McNeil R, et al. Cancer incidence among patients of the U.S. Veterans Affairs health care system: 2010 Update. Mil Med. 2017;182(7):e1883-e1891. doi:10.7205/MILMED-D-16-00371

7. Mathai RA, Vidya RVS, Reddy BS, et al. Potential utility of liquid biopsy as a diagnostic and prognostic tool for the assessment of solid tumors: implications in the precision oncology. J Clin Med. 2019;8(3):373. Published 2019 Mar 18. doi:10.3390/jcm8030373

8. Elazezy M, Joosse SA. Techniques of using circulating tumor DNA as a liquid biopsy component in cancer management. Comput Struct Biotechnol J. 2018;16:370-378. Published 2018 Oct 9. doi:10.1016/j.csbj.2018.10.002

9. Tsongalis, G. Advances in Molecular Pathology. Vol 2-1, 1st ed. Elsevier; 2019.

10. Mattox AK, Bettegowda C, Zhou S, Papadopoulos N, Kinzler KW, Vogelstein B. Applications of liquid biopsies for cancer. Sci Transl Med. 2019;11(507):eaay1984. doi:10.1126/scitranslmed.aay1984

11. Wu X, Zhu L, Ma PC. Next-generation novel noninvasive cancer molecular diagnostics platforms beyond tissues. Am Soc Clin Oncol Educ Book. 2018;38(38):964-977. doi:10.1200/EDBK_199767

12. Bratulic S, Gatto F, Nielsen J. The translational status of cancer liquid biopsies. Regen Eng Transl Med. 2019. Published November 25, 2019. doi:10.1007/s40883-019-00141-2

13. Mathai RA, Vidya RVS, Reddy BS, et al. Potential utility of liquid biopsy as a diagnostic and prognostic tool for the assessment of solid tumors: implications in the precision oncology. J Clin Med. 2019;8(3):373. Published 2019 Mar 18. doi:10.3390/jcm8030373

14. Fredsøe J, Rasmussen AKI, Mouritzen P, et al. Profiling of circulating microRNAs in prostate cancer reveals diagnostic biomarker potential. Diagnostics (Basel). 2020;10(4):188. Published 2020 Mar 28. doi:10.3390/diagnostics10040188

15. Bronkhorst AJ, Ungerer V, Holdenrieder S. The emerging role of cell-free DNA as a molecular marker for cancer management. Biomol Detect Quantif. 2019;17:100087. Published 2019 Mar 18. doi:10.1016/j.bdq.2019.100087

16. Institute of Medicine (US) Committee to Review the Health Effects in Vietnam Veterans of Exposure to Herbicides (Fourth Biennial Update). Veterans and Agent Orange: Update 2002. National Academies Press (US); 2003.

17. Eibner C, Krull H, Brown KM, et al. Current and projected characteristics and unique health care needs of the patient population served by the Department of Veterans Affairs. Rand Health Q. 2016;5(4):13. Published 2016 May 9.

18. Saarenheimo J, Eigeliene N, Andersen H, Tiirola M, Jekunen A. The value of liquid biopsies for guiding therapy decisions in non-small cell lung cancer. Front Oncol. 2019;9:129. Published 2019 Mar 5.doi:10.3389/fonc.2019.00129

19. Bronkhorst AJ, Ungerer V, Holdenrieder S. The emerging role of cell-free DNA as a molecular marker for cancer management. Biomol Detect Quantif. 2019;17:100087. Published 2019 Mar 18. doi:10.1016/j.bdq.2019.100087

20. Warner EW, Yip SM, Chi KN, Wyatt AW. DNA repair defects in prostate cancer: impact for screening, prognostication and treatment. BJU Int. 2019;123(5):769-776. doi:10.1111/bju.14576

21. Robinson D, Van Allen EM, Wu YM, et al. Integrative clinical genomics of advanced prostate cancer [published correction appears in Cell. 2015 Jul 16;162(2):454]. Cell. 2015;161(5):1215-1228. doi:10.1016/j.cell.2015.05.001

22. Annala M, Vandekerkhove G, Khalaf D, et al. Circulating tumor DNA genomics correlate with resistance to abiraterone and enzalutamide in prostate cancer. Cancer Discov. 2018;8(4):444-457. doi:10.1158/2159-8290.CD-17-0937

23. Vandekerkhove G, Struss WJ, Annala M, et al. Circulating tumor DNA abundance and potential utility in de novo metastatic prostate cancer. Eur Urol. 2019;75(4):667-675. doi:10.1016/j.eururo.2018.12.042

24. Pritchard CC, Mateo J, Walsh MF, et al. Inherited DNA-repair gene mutations in men with metastatic prostate cancer. N Engl J Med. 2016;375(5):443-453. doi:10.1056/NEJMoa1603144

25. Robles AI, Jen J, Harris CC. Clinical outcomes of TP53 mutations in cancers. Cold Spring Harb Perspect Med. 2016;6(9):a026294. Published 2016 Sep 1. doi:10.1101/cshperspect.a026294

26. Bettegowda C, Sausen M, Leary RJ, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med. 2014;6(224):224ra24. doi:10.1126/scitranslmed.3007094

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