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Pathologic CR in HER2+ breast cancer predicts long-term survival
In fact, for the majority of women, pCR appears to be a marker of cure.
The trial was conducted among 455 women with HER2-positive breast cancer tumors measuring at least 2 cm who were randomized to neoadjuvant trastuzumab, lapatinib, or both drugs in combination, each together with paclitaxel, followed by more chemotherapy and more of the same targeted therapy after surgery.
Relative to trastuzumab alone, trastuzumab plus lapatinib improved rates of pCR, as shown by data published in The Lancet in 2012. However, the dual therapy did not significantly prolong event-free or overall survival, according to data published in The Lancet Oncology in 2014. Findings were similar in an update at a median follow-up of 6.7 years, published in the European Journal of Cancer in 2019.
Study investigator Paolo Nuciforo, MD, PhD, of the Vall d’Hebron Institute of Oncology in Barcelona, reported the trial’s final results, now at a median follow-up of 9.7 years, at the 12th European Breast Cancer Conference.
There were no significant differences in 9-year outcomes by specific HER2-targeted therapy. However, in a landmark analysis among women who were event free and still on follow-up 30 weeks after randomization, those achieving pCR with any of the therapies were 52% less likely to experience events and 63% less likely to die. Benefit was greatest in the subset of patients with hormone receptor–negative disease.
“The long-term follow-up confirms that, independent of the treatment regimen that we use – in this case, the dual blockade was with lapatinib, but similar results can be expected with other dual blockade – the pCR is a very robust surrogate biomarker of long-term survival,” Dr. Nuciforo commented in a press conference, noting that dual trastuzumab and pertuzumab has emerged as the standard of care.
“If we really pay attention to the curve, it’s maybe interesting to see that, after year 6, we actually don’t see any events in the pCR population. So this means that these patients are almost cured. We cannot say the word ‘cure’ in cancer, but it’s very reassuring to see the long-term survival analysis support the use of pCR as an endpoint,” he elaborated.
“Our results support the design of future trial concepts in HER2-positive early breast cancer which use pCR as an early efficacy readout of long-term benefit to escalate or deescalate therapy, particularly for hormone receptor–negative tumors,” Dr. Nuciforo concluded.
Support for current practice
“The study lends support for the current practice of risk-stratifying by pCR as well as making treatment decisions regarding T-DM1 [trastuzumab emtansine], and there hasn’t been a big change between 5-year and 9-year outcomes,” Lisa A. Carey, MD, of the University of North Carolina at Chapel Hill Lineberger Comprehensive Cancer Center, commented in an interview.
The lack of late events in the group with pCR technically meets the definition of cure, Dr. Carey said. “I think it speaks to the relatively early relapse risk in HER2-positive breast cancer and the impact of anti-HER2 therapy that carries forward. In general, these are findings similar to long-term findings of other trials and I suspect will be the same for any regimen.”
Although the analysis of dual lapatinib-trastuzumab therapy was underpowered, the trends seen align with favorable results in the adjuvant APHINITY trial (which combined trastuzumab with pertuzumab) and the neoadjuvant CALGB 40601 trial (which combined trastuzumab with lapatinib), according to Dr. Carey. “There has been a trend in every other study [of dual therapy] performed, so this is consistent.”
Study details
NeoALTTO is noteworthy for having the longest follow-up among all neoadjuvant studies of dual HER2 blockade in early breast cancer, Dr. Nuciforo said.
He reported no significant difference in survival between the treatment arms at 9 years.
The 9-year rate of event-free survival was 69% with lapatinib-trastuzumab, 63% with lapatinib alone, and 65% with trastuzumab alone. The corresponding 9-year rates of overall survival were 80%, 77%, and 76%, respectively.
However, there were significant differences in event-free and overall survival among women who achieved pCR and those who did not.
“pCR was achieved for almost twice as many patients treated with dual HER2 blockade, compared with patients in the single-agent arms,” Dr. Nuciforo pointed out. The pCR rate was 51.3% with lapatinib-trastuzumab, 24.7% with lapatinib alone, and 29.5% with trastuzumab alone.
Relative to peers who did not achieve pCR, women who did had better 9-year event-free survival (77% vs. 61%; adjusted hazard ratio, 0.48; P = .0008). The benefit was stronger in hormone receptor–negative disease (HR, 0.43; P = .002) than in hormone receptor–positive disease (HR, 0.60; P = .15).
The pattern was similar for overall survival at 9 years – 88% in those who achieved a pCR and 72% in those who did not (adjusted HR, 0.37; P = .0004). Again, greater benefit was seen in hormone receptor–negative disease (HR, 0.33; P = .002) than in hormone receptor–positive disease (HR, 0.44; P = .09).
“Biomarker-driven approaches may improve selection of those patients who are more likely to respond to anti-HER2 therapies,” Dr. Nuciforo proposed.
From 6 years onward, there were no additional fatal adverse events or nonfatal serious adverse events recorded, and no additional primary cardiac endpoints were recorded.
The study was funded by Novartis. Dr. Nuciforo and Dr. Carey disclosed no conflicts of interest.
SOURCE: Nuciforo P et al. EBCC-12 Virtual Conference, Abstract 23.
In fact, for the majority of women, pCR appears to be a marker of cure.
The trial was conducted among 455 women with HER2-positive breast cancer tumors measuring at least 2 cm who were randomized to neoadjuvant trastuzumab, lapatinib, or both drugs in combination, each together with paclitaxel, followed by more chemotherapy and more of the same targeted therapy after surgery.
Relative to trastuzumab alone, trastuzumab plus lapatinib improved rates of pCR, as shown by data published in The Lancet in 2012. However, the dual therapy did not significantly prolong event-free or overall survival, according to data published in The Lancet Oncology in 2014. Findings were similar in an update at a median follow-up of 6.7 years, published in the European Journal of Cancer in 2019.
Study investigator Paolo Nuciforo, MD, PhD, of the Vall d’Hebron Institute of Oncology in Barcelona, reported the trial’s final results, now at a median follow-up of 9.7 years, at the 12th European Breast Cancer Conference.
There were no significant differences in 9-year outcomes by specific HER2-targeted therapy. However, in a landmark analysis among women who were event free and still on follow-up 30 weeks after randomization, those achieving pCR with any of the therapies were 52% less likely to experience events and 63% less likely to die. Benefit was greatest in the subset of patients with hormone receptor–negative disease.
“The long-term follow-up confirms that, independent of the treatment regimen that we use – in this case, the dual blockade was with lapatinib, but similar results can be expected with other dual blockade – the pCR is a very robust surrogate biomarker of long-term survival,” Dr. Nuciforo commented in a press conference, noting that dual trastuzumab and pertuzumab has emerged as the standard of care.
“If we really pay attention to the curve, it’s maybe interesting to see that, after year 6, we actually don’t see any events in the pCR population. So this means that these patients are almost cured. We cannot say the word ‘cure’ in cancer, but it’s very reassuring to see the long-term survival analysis support the use of pCR as an endpoint,” he elaborated.
“Our results support the design of future trial concepts in HER2-positive early breast cancer which use pCR as an early efficacy readout of long-term benefit to escalate or deescalate therapy, particularly for hormone receptor–negative tumors,” Dr. Nuciforo concluded.
Support for current practice
“The study lends support for the current practice of risk-stratifying by pCR as well as making treatment decisions regarding T-DM1 [trastuzumab emtansine], and there hasn’t been a big change between 5-year and 9-year outcomes,” Lisa A. Carey, MD, of the University of North Carolina at Chapel Hill Lineberger Comprehensive Cancer Center, commented in an interview.
The lack of late events in the group with pCR technically meets the definition of cure, Dr. Carey said. “I think it speaks to the relatively early relapse risk in HER2-positive breast cancer and the impact of anti-HER2 therapy that carries forward. In general, these are findings similar to long-term findings of other trials and I suspect will be the same for any regimen.”
Although the analysis of dual lapatinib-trastuzumab therapy was underpowered, the trends seen align with favorable results in the adjuvant APHINITY trial (which combined trastuzumab with pertuzumab) and the neoadjuvant CALGB 40601 trial (which combined trastuzumab with lapatinib), according to Dr. Carey. “There has been a trend in every other study [of dual therapy] performed, so this is consistent.”
Study details
NeoALTTO is noteworthy for having the longest follow-up among all neoadjuvant studies of dual HER2 blockade in early breast cancer, Dr. Nuciforo said.
He reported no significant difference in survival between the treatment arms at 9 years.
The 9-year rate of event-free survival was 69% with lapatinib-trastuzumab, 63% with lapatinib alone, and 65% with trastuzumab alone. The corresponding 9-year rates of overall survival were 80%, 77%, and 76%, respectively.
However, there were significant differences in event-free and overall survival among women who achieved pCR and those who did not.
“pCR was achieved for almost twice as many patients treated with dual HER2 blockade, compared with patients in the single-agent arms,” Dr. Nuciforo pointed out. The pCR rate was 51.3% with lapatinib-trastuzumab, 24.7% with lapatinib alone, and 29.5% with trastuzumab alone.
Relative to peers who did not achieve pCR, women who did had better 9-year event-free survival (77% vs. 61%; adjusted hazard ratio, 0.48; P = .0008). The benefit was stronger in hormone receptor–negative disease (HR, 0.43; P = .002) than in hormone receptor–positive disease (HR, 0.60; P = .15).
The pattern was similar for overall survival at 9 years – 88% in those who achieved a pCR and 72% in those who did not (adjusted HR, 0.37; P = .0004). Again, greater benefit was seen in hormone receptor–negative disease (HR, 0.33; P = .002) than in hormone receptor–positive disease (HR, 0.44; P = .09).
“Biomarker-driven approaches may improve selection of those patients who are more likely to respond to anti-HER2 therapies,” Dr. Nuciforo proposed.
From 6 years onward, there were no additional fatal adverse events or nonfatal serious adverse events recorded, and no additional primary cardiac endpoints were recorded.
The study was funded by Novartis. Dr. Nuciforo and Dr. Carey disclosed no conflicts of interest.
SOURCE: Nuciforo P et al. EBCC-12 Virtual Conference, Abstract 23.
In fact, for the majority of women, pCR appears to be a marker of cure.
The trial was conducted among 455 women with HER2-positive breast cancer tumors measuring at least 2 cm who were randomized to neoadjuvant trastuzumab, lapatinib, or both drugs in combination, each together with paclitaxel, followed by more chemotherapy and more of the same targeted therapy after surgery.
Relative to trastuzumab alone, trastuzumab plus lapatinib improved rates of pCR, as shown by data published in The Lancet in 2012. However, the dual therapy did not significantly prolong event-free or overall survival, according to data published in The Lancet Oncology in 2014. Findings were similar in an update at a median follow-up of 6.7 years, published in the European Journal of Cancer in 2019.
Study investigator Paolo Nuciforo, MD, PhD, of the Vall d’Hebron Institute of Oncology in Barcelona, reported the trial’s final results, now at a median follow-up of 9.7 years, at the 12th European Breast Cancer Conference.
There were no significant differences in 9-year outcomes by specific HER2-targeted therapy. However, in a landmark analysis among women who were event free and still on follow-up 30 weeks after randomization, those achieving pCR with any of the therapies were 52% less likely to experience events and 63% less likely to die. Benefit was greatest in the subset of patients with hormone receptor–negative disease.
“The long-term follow-up confirms that, independent of the treatment regimen that we use – in this case, the dual blockade was with lapatinib, but similar results can be expected with other dual blockade – the pCR is a very robust surrogate biomarker of long-term survival,” Dr. Nuciforo commented in a press conference, noting that dual trastuzumab and pertuzumab has emerged as the standard of care.
“If we really pay attention to the curve, it’s maybe interesting to see that, after year 6, we actually don’t see any events in the pCR population. So this means that these patients are almost cured. We cannot say the word ‘cure’ in cancer, but it’s very reassuring to see the long-term survival analysis support the use of pCR as an endpoint,” he elaborated.
“Our results support the design of future trial concepts in HER2-positive early breast cancer which use pCR as an early efficacy readout of long-term benefit to escalate or deescalate therapy, particularly for hormone receptor–negative tumors,” Dr. Nuciforo concluded.
Support for current practice
“The study lends support for the current practice of risk-stratifying by pCR as well as making treatment decisions regarding T-DM1 [trastuzumab emtansine], and there hasn’t been a big change between 5-year and 9-year outcomes,” Lisa A. Carey, MD, of the University of North Carolina at Chapel Hill Lineberger Comprehensive Cancer Center, commented in an interview.
The lack of late events in the group with pCR technically meets the definition of cure, Dr. Carey said. “I think it speaks to the relatively early relapse risk in HER2-positive breast cancer and the impact of anti-HER2 therapy that carries forward. In general, these are findings similar to long-term findings of other trials and I suspect will be the same for any regimen.”
Although the analysis of dual lapatinib-trastuzumab therapy was underpowered, the trends seen align with favorable results in the adjuvant APHINITY trial (which combined trastuzumab with pertuzumab) and the neoadjuvant CALGB 40601 trial (which combined trastuzumab with lapatinib), according to Dr. Carey. “There has been a trend in every other study [of dual therapy] performed, so this is consistent.”
Study details
NeoALTTO is noteworthy for having the longest follow-up among all neoadjuvant studies of dual HER2 blockade in early breast cancer, Dr. Nuciforo said.
He reported no significant difference in survival between the treatment arms at 9 years.
The 9-year rate of event-free survival was 69% with lapatinib-trastuzumab, 63% with lapatinib alone, and 65% with trastuzumab alone. The corresponding 9-year rates of overall survival were 80%, 77%, and 76%, respectively.
However, there were significant differences in event-free and overall survival among women who achieved pCR and those who did not.
“pCR was achieved for almost twice as many patients treated with dual HER2 blockade, compared with patients in the single-agent arms,” Dr. Nuciforo pointed out. The pCR rate was 51.3% with lapatinib-trastuzumab, 24.7% with lapatinib alone, and 29.5% with trastuzumab alone.
Relative to peers who did not achieve pCR, women who did had better 9-year event-free survival (77% vs. 61%; adjusted hazard ratio, 0.48; P = .0008). The benefit was stronger in hormone receptor–negative disease (HR, 0.43; P = .002) than in hormone receptor–positive disease (HR, 0.60; P = .15).
The pattern was similar for overall survival at 9 years – 88% in those who achieved a pCR and 72% in those who did not (adjusted HR, 0.37; P = .0004). Again, greater benefit was seen in hormone receptor–negative disease (HR, 0.33; P = .002) than in hormone receptor–positive disease (HR, 0.44; P = .09).
“Biomarker-driven approaches may improve selection of those patients who are more likely to respond to anti-HER2 therapies,” Dr. Nuciforo proposed.
From 6 years onward, there were no additional fatal adverse events or nonfatal serious adverse events recorded, and no additional primary cardiac endpoints were recorded.
The study was funded by Novartis. Dr. Nuciforo and Dr. Carey disclosed no conflicts of interest.
SOURCE: Nuciforo P et al. EBCC-12 Virtual Conference, Abstract 23.
FROM EBCC-12 VIRTUAL CONFERENCE
Combined features of benign breast disease tied to breast cancer risk
“Benign breast disease is a key risk factor for breast cancer risk prediction,” commented presenting investigator Marta Román, PhD, of the Hospital del Mar Medical Research Institute in Barcelona. “Those women who have had a benign breast disease diagnosis have an increased risk that lasts for at least 20 years.”
To assess the combined influence of various attributes of benign breast disease, the investigators studied 629,087 women, aged 50-69 years, in Spain who underwent population-based mammographic breast cancer screening during 1994-2015 and did not have breast cancer at their prevalent (first) screen. The mean follow-up was 7.8 years.
Results showed that breast cancer risk was about three times higher for women with benign breast disease that was proliferative or that was detected on an incident screen, relative to peers with no benign breast disease. When combinations of factors were considered, breast cancer risk was most elevated – more than four times higher – for women with proliferative benign breast disease with atypia detected on an incident screen.
“We believe that these findings should be considered when discussing risk-based personalized screening strategies because these differences between prevalent and incident screens might be important if we want to personalize the screening, whether it’s the first time a woman comes to the screening program or a subsequent screen,” Dr. Román said.
Practice changing?
The study’s large size and population-based design, likely permitting capture of most biopsy results, are strengths, Mark David Pearlman, MD, of the University of Michigan, Ann Arbor, commented in an interview.
But its observational, retrospective nature opens the study up to biases, such as uncertainty as to how many women were symptomatic at the time of their mammogram and the likelihood of heightened monitoring after a biopsy showing hyperplasia, Dr. Pearlman cautioned.
“Moreover, the relative risk in this study for proliferative benign breast disease without atypia is substantially higher than prior observations of this group. This discrepancy was not discussed by the authors,” Dr. Pearlman said.
At present, women’s risk of breast cancer is predicted using well-validated models that include the question of prior breast biopsies, such as the Gail Model, the Tyrer-Cuzick model (IBIS tool), and the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm, Dr. Pearlman noted.
“This study, without further validation within a model, would not change risk assessment,” he said, disagreeing with the investigators’ conclusions. “What I would say is that further study to determine how to use this observation to decide if any change in screening or management should occur would be more appropriate.”
Study details
The 629,087 women studied underwent 2,327,384 screens, Dr. Román reported. In total, screening detected 9,184 cases of benign breast disease and 9,431 breast cancers.
Breast cancer was diagnosed in 2.4% and 3.0% of women with benign breast disease detected on prevalent and incident screens, respectively, compared with 1.5% of women without any benign breast disease detected.
Elevation of breast cancer risk varied across benign breast disease subtype. Relative to peers without any benign disease, risk was significantly elevated for women with nonproliferative disease (adjusted hazard ratio, 1.95), proliferative disease without atypia (aHR, 3.19), and proliferative disease with atypia (aHR, 3.82).
Similarly, elevation of risk varied depending on the screening at which the benign disease was detected. Risk was significantly elevated when the disease was found at prevalent screens (aHR, 1.87) and more so when it was found at incident screens (aHR, 2.67).
There was no significant interaction of these two factors (P = .83). However, when combinations were considered, risk was highest for women with proliferative benign breast disease with atypia detected on incident screens (aHR, 4.35) or prevalent screens (aHR, 3.35), and women with proliferative benign breast disease without atypia detected on incident screens (aHR, 3.83).
This study was supported by grants from Instituto de Salud Carlos III FEDER and by the Research Network on Health Services in Chronic Diseases. Dr. Román and Dr. Pearlman disclosed no conflicts of interest.
SOURCE: Román M et al. EBCC-12 Virtual Conference, Abstract 15.
“Benign breast disease is a key risk factor for breast cancer risk prediction,” commented presenting investigator Marta Román, PhD, of the Hospital del Mar Medical Research Institute in Barcelona. “Those women who have had a benign breast disease diagnosis have an increased risk that lasts for at least 20 years.”
To assess the combined influence of various attributes of benign breast disease, the investigators studied 629,087 women, aged 50-69 years, in Spain who underwent population-based mammographic breast cancer screening during 1994-2015 and did not have breast cancer at their prevalent (first) screen. The mean follow-up was 7.8 years.
Results showed that breast cancer risk was about three times higher for women with benign breast disease that was proliferative or that was detected on an incident screen, relative to peers with no benign breast disease. When combinations of factors were considered, breast cancer risk was most elevated – more than four times higher – for women with proliferative benign breast disease with atypia detected on an incident screen.
“We believe that these findings should be considered when discussing risk-based personalized screening strategies because these differences between prevalent and incident screens might be important if we want to personalize the screening, whether it’s the first time a woman comes to the screening program or a subsequent screen,” Dr. Román said.
Practice changing?
The study’s large size and population-based design, likely permitting capture of most biopsy results, are strengths, Mark David Pearlman, MD, of the University of Michigan, Ann Arbor, commented in an interview.
But its observational, retrospective nature opens the study up to biases, such as uncertainty as to how many women were symptomatic at the time of their mammogram and the likelihood of heightened monitoring after a biopsy showing hyperplasia, Dr. Pearlman cautioned.
“Moreover, the relative risk in this study for proliferative benign breast disease without atypia is substantially higher than prior observations of this group. This discrepancy was not discussed by the authors,” Dr. Pearlman said.
At present, women’s risk of breast cancer is predicted using well-validated models that include the question of prior breast biopsies, such as the Gail Model, the Tyrer-Cuzick model (IBIS tool), and the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm, Dr. Pearlman noted.
“This study, without further validation within a model, would not change risk assessment,” he said, disagreeing with the investigators’ conclusions. “What I would say is that further study to determine how to use this observation to decide if any change in screening or management should occur would be more appropriate.”
Study details
The 629,087 women studied underwent 2,327,384 screens, Dr. Román reported. In total, screening detected 9,184 cases of benign breast disease and 9,431 breast cancers.
Breast cancer was diagnosed in 2.4% and 3.0% of women with benign breast disease detected on prevalent and incident screens, respectively, compared with 1.5% of women without any benign breast disease detected.
Elevation of breast cancer risk varied across benign breast disease subtype. Relative to peers without any benign disease, risk was significantly elevated for women with nonproliferative disease (adjusted hazard ratio, 1.95), proliferative disease without atypia (aHR, 3.19), and proliferative disease with atypia (aHR, 3.82).
Similarly, elevation of risk varied depending on the screening at which the benign disease was detected. Risk was significantly elevated when the disease was found at prevalent screens (aHR, 1.87) and more so when it was found at incident screens (aHR, 2.67).
There was no significant interaction of these two factors (P = .83). However, when combinations were considered, risk was highest for women with proliferative benign breast disease with atypia detected on incident screens (aHR, 4.35) or prevalent screens (aHR, 3.35), and women with proliferative benign breast disease without atypia detected on incident screens (aHR, 3.83).
This study was supported by grants from Instituto de Salud Carlos III FEDER and by the Research Network on Health Services in Chronic Diseases. Dr. Román and Dr. Pearlman disclosed no conflicts of interest.
SOURCE: Román M et al. EBCC-12 Virtual Conference, Abstract 15.
“Benign breast disease is a key risk factor for breast cancer risk prediction,” commented presenting investigator Marta Román, PhD, of the Hospital del Mar Medical Research Institute in Barcelona. “Those women who have had a benign breast disease diagnosis have an increased risk that lasts for at least 20 years.”
To assess the combined influence of various attributes of benign breast disease, the investigators studied 629,087 women, aged 50-69 years, in Spain who underwent population-based mammographic breast cancer screening during 1994-2015 and did not have breast cancer at their prevalent (first) screen. The mean follow-up was 7.8 years.
Results showed that breast cancer risk was about three times higher for women with benign breast disease that was proliferative or that was detected on an incident screen, relative to peers with no benign breast disease. When combinations of factors were considered, breast cancer risk was most elevated – more than four times higher – for women with proliferative benign breast disease with atypia detected on an incident screen.
“We believe that these findings should be considered when discussing risk-based personalized screening strategies because these differences between prevalent and incident screens might be important if we want to personalize the screening, whether it’s the first time a woman comes to the screening program or a subsequent screen,” Dr. Román said.
Practice changing?
The study’s large size and population-based design, likely permitting capture of most biopsy results, are strengths, Mark David Pearlman, MD, of the University of Michigan, Ann Arbor, commented in an interview.
But its observational, retrospective nature opens the study up to biases, such as uncertainty as to how many women were symptomatic at the time of their mammogram and the likelihood of heightened monitoring after a biopsy showing hyperplasia, Dr. Pearlman cautioned.
“Moreover, the relative risk in this study for proliferative benign breast disease without atypia is substantially higher than prior observations of this group. This discrepancy was not discussed by the authors,” Dr. Pearlman said.
At present, women’s risk of breast cancer is predicted using well-validated models that include the question of prior breast biopsies, such as the Gail Model, the Tyrer-Cuzick model (IBIS tool), and the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm, Dr. Pearlman noted.
“This study, without further validation within a model, would not change risk assessment,” he said, disagreeing with the investigators’ conclusions. “What I would say is that further study to determine how to use this observation to decide if any change in screening or management should occur would be more appropriate.”
Study details
The 629,087 women studied underwent 2,327,384 screens, Dr. Román reported. In total, screening detected 9,184 cases of benign breast disease and 9,431 breast cancers.
Breast cancer was diagnosed in 2.4% and 3.0% of women with benign breast disease detected on prevalent and incident screens, respectively, compared with 1.5% of women without any benign breast disease detected.
Elevation of breast cancer risk varied across benign breast disease subtype. Relative to peers without any benign disease, risk was significantly elevated for women with nonproliferative disease (adjusted hazard ratio, 1.95), proliferative disease without atypia (aHR, 3.19), and proliferative disease with atypia (aHR, 3.82).
Similarly, elevation of risk varied depending on the screening at which the benign disease was detected. Risk was significantly elevated when the disease was found at prevalent screens (aHR, 1.87) and more so when it was found at incident screens (aHR, 2.67).
There was no significant interaction of these two factors (P = .83). However, when combinations were considered, risk was highest for women with proliferative benign breast disease with atypia detected on incident screens (aHR, 4.35) or prevalent screens (aHR, 3.35), and women with proliferative benign breast disease without atypia detected on incident screens (aHR, 3.83).
This study was supported by grants from Instituto de Salud Carlos III FEDER and by the Research Network on Health Services in Chronic Diseases. Dr. Román and Dr. Pearlman disclosed no conflicts of interest.
SOURCE: Román M et al. EBCC-12 Virtual Conference, Abstract 15.
FROM EBCC-12 VIRTUAL CONFERENCE
Gene signature found similarly prognostic in ILC and IDC
ILC is enriched with features indicating low proliferative activity, noted investigator Otto Metzger, MD, of the Dana Farber Cancer Institute in Boston.
“Data from retrospective series have indicated no benefit with adjuvant chemotherapy for patients diagnosed with early-stage ILC,” he said. “It’s fair to say that chemotherapy decisions for patients with ILC remain controversial.”
With this in mind, Dr. Metzger and colleagues analyzed data for 5,313 women who underwent surgery for early-stage breast cancer (node-negative or up to three positive lymph nodes) and were risk-stratified to receive or skip adjuvant chemotherapy based on both clinical risk and the MammaPrint score for genomic risk. Fully 44% of women with ILC had discordant clinical and genomic risks.
With a median follow-up of 8.7 years, the 5-year rate of distant metastasis–free survival among all patients classified as genomic high risk was 92.1% in women with IDC and 88.1% in women with ILC, with overlapping 95% confidence intervals. Rates of distant metastasis–free survival for patients with genomic low risk were 96.4% in women with IDC and 96.6% in women with ILC, again with confidence intervals that overlapped.
The pattern was essentially the same for overall survival, and results carried over into 8-year outcomes as well.
“We believe that MammaPrint is a clinically useful test for patients diagnosed with ILC,” Dr. Metzger said. “There are similar survival outcomes for ILC and IDC when matched by genomic risk. This is an important message.”
It should be standard to omit chemotherapy for patients who have ILC classified as high clinical risk but low genomic risk by MammaPrint, Dr. Metzger recommended. “By contrast, MammaPrint should facilitate chemotherapy treatment decisions for patients diagnosed with ILC and high-risk MammaPrint,” he said.
Prognostic, but predictive?
“This is a well-designed prospective multicenter trial and provides the best evidence to date that MammaPrint is an important prognostic tool for ILC,” Todd Tuttle, MD, of University of Minnesota in Minneapolis, said in an interview.
Dr. Tuttle said he mainly uses the MammaPrint test and the OncoType 21-gene recurrence score to estimate prognosis for his patients with ILC.
These new data establish that MammaPrint is prognostic in ILC, but the value of MammaPrint’s genomic high risk result for making the decision about chemotherapy is still unclear, according to Dr. Tuttle.
“I don’t think we know whether MammaPrint can predict the benefit of chemotherapy for patients with stage I or II ILC,” he elaborated. “We need further high-quality studies such as this one to determine the best treatment strategies for ILC, which is a difficult breast cancer.”
Study details
Of the 5,313 patients studied, 487 had ILC (255 classic and 232 variant) and 4,826 had IDC according to central pathology assessment, Dr. Metzger reported.
MammaPrint classified 39% of the IDC group and 16% of the ILC group (10% of those with classic disease and 23% of those with variant disease) as genomically high risk for recurrence. The Adjuvant! Online tool classified 48.3% of ILC and 51.5% of IDC patients as clinically high risk.
Among the 44% of women with ILC having discordant genomic and clinical risk, discordance was usually due to the combination of low genomic risk and high clinical risk, seen in 38%.
The curves for 5-year distant metastasis–free survival stratified by genomic risk essentially overlapped for the IDC and ILC groups. Furthermore, there was no significant interaction of histologic type and genomic risk on this outcome (P = .547).
The 5-year rate of overall survival among women with genomic high risk was 95.6% in the IDC group and 93.5% in the ILC group. Among women with genomic low risk, 5-year overall survival was 98.1% in the IDC group and 97.7% in the ILC group, again with overlapping confidence intervals within each risk category.
The study was funded with support from the Breast Cancer Research Foundation. Dr. Metzger disclosed consulting fees from AbbVie, Genentech, Roche, and Pfizer. Dr. Tuttle disclosed no conflicts of interest.
SOURCE: Metzger O et al. EBCC-12 Virtual Conference. Abstract 6.
ILC is enriched with features indicating low proliferative activity, noted investigator Otto Metzger, MD, of the Dana Farber Cancer Institute in Boston.
“Data from retrospective series have indicated no benefit with adjuvant chemotherapy for patients diagnosed with early-stage ILC,” he said. “It’s fair to say that chemotherapy decisions for patients with ILC remain controversial.”
With this in mind, Dr. Metzger and colleagues analyzed data for 5,313 women who underwent surgery for early-stage breast cancer (node-negative or up to three positive lymph nodes) and were risk-stratified to receive or skip adjuvant chemotherapy based on both clinical risk and the MammaPrint score for genomic risk. Fully 44% of women with ILC had discordant clinical and genomic risks.
With a median follow-up of 8.7 years, the 5-year rate of distant metastasis–free survival among all patients classified as genomic high risk was 92.1% in women with IDC and 88.1% in women with ILC, with overlapping 95% confidence intervals. Rates of distant metastasis–free survival for patients with genomic low risk were 96.4% in women with IDC and 96.6% in women with ILC, again with confidence intervals that overlapped.
The pattern was essentially the same for overall survival, and results carried over into 8-year outcomes as well.
“We believe that MammaPrint is a clinically useful test for patients diagnosed with ILC,” Dr. Metzger said. “There are similar survival outcomes for ILC and IDC when matched by genomic risk. This is an important message.”
It should be standard to omit chemotherapy for patients who have ILC classified as high clinical risk but low genomic risk by MammaPrint, Dr. Metzger recommended. “By contrast, MammaPrint should facilitate chemotherapy treatment decisions for patients diagnosed with ILC and high-risk MammaPrint,” he said.
Prognostic, but predictive?
“This is a well-designed prospective multicenter trial and provides the best evidence to date that MammaPrint is an important prognostic tool for ILC,” Todd Tuttle, MD, of University of Minnesota in Minneapolis, said in an interview.
Dr. Tuttle said he mainly uses the MammaPrint test and the OncoType 21-gene recurrence score to estimate prognosis for his patients with ILC.
These new data establish that MammaPrint is prognostic in ILC, but the value of MammaPrint’s genomic high risk result for making the decision about chemotherapy is still unclear, according to Dr. Tuttle.
“I don’t think we know whether MammaPrint can predict the benefit of chemotherapy for patients with stage I or II ILC,” he elaborated. “We need further high-quality studies such as this one to determine the best treatment strategies for ILC, which is a difficult breast cancer.”
Study details
Of the 5,313 patients studied, 487 had ILC (255 classic and 232 variant) and 4,826 had IDC according to central pathology assessment, Dr. Metzger reported.
MammaPrint classified 39% of the IDC group and 16% of the ILC group (10% of those with classic disease and 23% of those with variant disease) as genomically high risk for recurrence. The Adjuvant! Online tool classified 48.3% of ILC and 51.5% of IDC patients as clinically high risk.
Among the 44% of women with ILC having discordant genomic and clinical risk, discordance was usually due to the combination of low genomic risk and high clinical risk, seen in 38%.
The curves for 5-year distant metastasis–free survival stratified by genomic risk essentially overlapped for the IDC and ILC groups. Furthermore, there was no significant interaction of histologic type and genomic risk on this outcome (P = .547).
The 5-year rate of overall survival among women with genomic high risk was 95.6% in the IDC group and 93.5% in the ILC group. Among women with genomic low risk, 5-year overall survival was 98.1% in the IDC group and 97.7% in the ILC group, again with overlapping confidence intervals within each risk category.
The study was funded with support from the Breast Cancer Research Foundation. Dr. Metzger disclosed consulting fees from AbbVie, Genentech, Roche, and Pfizer. Dr. Tuttle disclosed no conflicts of interest.
SOURCE: Metzger O et al. EBCC-12 Virtual Conference. Abstract 6.
ILC is enriched with features indicating low proliferative activity, noted investigator Otto Metzger, MD, of the Dana Farber Cancer Institute in Boston.
“Data from retrospective series have indicated no benefit with adjuvant chemotherapy for patients diagnosed with early-stage ILC,” he said. “It’s fair to say that chemotherapy decisions for patients with ILC remain controversial.”
With this in mind, Dr. Metzger and colleagues analyzed data for 5,313 women who underwent surgery for early-stage breast cancer (node-negative or up to three positive lymph nodes) and were risk-stratified to receive or skip adjuvant chemotherapy based on both clinical risk and the MammaPrint score for genomic risk. Fully 44% of women with ILC had discordant clinical and genomic risks.
With a median follow-up of 8.7 years, the 5-year rate of distant metastasis–free survival among all patients classified as genomic high risk was 92.1% in women with IDC and 88.1% in women with ILC, with overlapping 95% confidence intervals. Rates of distant metastasis–free survival for patients with genomic low risk were 96.4% in women with IDC and 96.6% in women with ILC, again with confidence intervals that overlapped.
The pattern was essentially the same for overall survival, and results carried over into 8-year outcomes as well.
“We believe that MammaPrint is a clinically useful test for patients diagnosed with ILC,” Dr. Metzger said. “There are similar survival outcomes for ILC and IDC when matched by genomic risk. This is an important message.”
It should be standard to omit chemotherapy for patients who have ILC classified as high clinical risk but low genomic risk by MammaPrint, Dr. Metzger recommended. “By contrast, MammaPrint should facilitate chemotherapy treatment decisions for patients diagnosed with ILC and high-risk MammaPrint,” he said.
Prognostic, but predictive?
“This is a well-designed prospective multicenter trial and provides the best evidence to date that MammaPrint is an important prognostic tool for ILC,” Todd Tuttle, MD, of University of Minnesota in Minneapolis, said in an interview.
Dr. Tuttle said he mainly uses the MammaPrint test and the OncoType 21-gene recurrence score to estimate prognosis for his patients with ILC.
These new data establish that MammaPrint is prognostic in ILC, but the value of MammaPrint’s genomic high risk result for making the decision about chemotherapy is still unclear, according to Dr. Tuttle.
“I don’t think we know whether MammaPrint can predict the benefit of chemotherapy for patients with stage I or II ILC,” he elaborated. “We need further high-quality studies such as this one to determine the best treatment strategies for ILC, which is a difficult breast cancer.”
Study details
Of the 5,313 patients studied, 487 had ILC (255 classic and 232 variant) and 4,826 had IDC according to central pathology assessment, Dr. Metzger reported.
MammaPrint classified 39% of the IDC group and 16% of the ILC group (10% of those with classic disease and 23% of those with variant disease) as genomically high risk for recurrence. The Adjuvant! Online tool classified 48.3% of ILC and 51.5% of IDC patients as clinically high risk.
Among the 44% of women with ILC having discordant genomic and clinical risk, discordance was usually due to the combination of low genomic risk and high clinical risk, seen in 38%.
The curves for 5-year distant metastasis–free survival stratified by genomic risk essentially overlapped for the IDC and ILC groups. Furthermore, there was no significant interaction of histologic type and genomic risk on this outcome (P = .547).
The 5-year rate of overall survival among women with genomic high risk was 95.6% in the IDC group and 93.5% in the ILC group. Among women with genomic low risk, 5-year overall survival was 98.1% in the IDC group and 97.7% in the ILC group, again with overlapping confidence intervals within each risk category.
The study was funded with support from the Breast Cancer Research Foundation. Dr. Metzger disclosed consulting fees from AbbVie, Genentech, Roche, and Pfizer. Dr. Tuttle disclosed no conflicts of interest.
SOURCE: Metzger O et al. EBCC-12 Virtual Conference. Abstract 6.
FROM EBCC-12 VIRTUAL CONFERENCE
Study advances personalized treatment for older breast cancer patients
Findings from the study were reported at the 12th European Breast Cancer Conference.
“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).
“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.
Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.
The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.
The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.
The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
Prospective cohort study
The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).
In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.
At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.
In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.
The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.
In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.
Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.
None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.
Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
Cluster-randomized controlled trial
In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.
The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.
Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.
Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).
The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.
Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.
Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
Applying results to practice
“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”
“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.
“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.
In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.
“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”
The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.
SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.
Findings from the study were reported at the 12th European Breast Cancer Conference.
“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).
“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.
Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.
The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.
The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.
The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
Prospective cohort study
The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).
In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.
At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.
In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.
The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.
In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.
Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.
None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.
Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
Cluster-randomized controlled trial
In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.
The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.
Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.
Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).
The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.
Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.
Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
Applying results to practice
“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”
“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.
“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.
In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.
“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”
The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.
SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.
Findings from the study were reported at the 12th European Breast Cancer Conference.
“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).
“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.
Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.
The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.
The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.
The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
Prospective cohort study
The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).
In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.
At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.
In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.
The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.
In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.
Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.
None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.
Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
Cluster-randomized controlled trial
In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.
The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.
Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.
Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).
The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.
Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.
Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
Applying results to practice
“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”
“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.
“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.
In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.
“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”
The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.
SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.
FROM EBCC-12 VIRTUAL CONFERENCE
Restarting breast cancer screening after disruption not so simple
according to a modeling study reported at the 12th European Breast Cancer Conference.
Fallout of the pandemic has included reductions in cancer screening and diagnosis, said study investigator Lindy M. Kregting, a PhD student in the department of public health at Erasmus Medical Center, University Medical Center Rotterdam (the Netherlands).
In the Netherlands, new breast cancer diagnoses fell dramatically from historical levels starting in February. The number in April was less than half of that expected.
Ms. Kregting and colleagues used modeling to assess the impact of four strategies for restarting breast cancer screening in the Netherlands. The strategies differed regarding the population affected, the duration of the effects, and changes in stopping age. The usual situation, without any disruption, served as the comparator.
Results showed wide variation across strategies with respect to the increase in screening capacity needed during the latter half of this year – from 0% to 100% – and the excess breast cancer mortality occurring during 2020-2030 – from as many as 181 excess breast cancer deaths to as few as 14.
“The effects of the disruption are dependent on the chosen restart strategy,” Ms. Kregting summarized. “It would be preferred to immediately catch up because this minimizes the impact, but it also requires a very high capacity, so it may not always be possible. A proper alternative would be to increase the stopping age, so no screens are omitted, because this requires a rather normal capacity, and it will result in only small effects on incidence and mortality.”
As screening programs restart in some countries, there are still a lot of unknowns that could affect outcomes, including how many women will attend given that some may stay away out of fear, Ms. Kregting cautioned.
“We plan to do further model calculations when we know exactly what has happened. ... For now, we just assumed some reasonable disruption periods, and we assumed that capacity would be back to the original, before COVID-19, but I think we can say this is probably not the case,” she added.
Study details
Ms. Kregting and colleagues used Dutch breast cancer screening program parameters (biennial digital mammography for women aged 50-75 years) and a microsimulation screening analysis model to simulate four strategies for restarting breast cancer screening after a 6-month disruption:
- “Everyone delay,” a strategy in which all screening continues in the order planned with no change in the stopping age of 75 years (so that one in four women ultimately miss a screening during their lifetime)
- “First rounds no delay,” in which there is a delay in screening except for women having their first screening
- “Continue after stopping age,” in which there is a delay in screening but temporary increasing of the stopping age (to 76.5 years) to ensure all women get their final screen
- “Catch-up after stop,” in which capacity is increased to ensure full catch-up, with all delayed screens caught up in a 6-month period (the second half of 2020).
Results showed that 5,872 women would be screened in the latter half of 2020 if screening proceeded as usual without disruption. The necessary capacity was essentially the same with all of the restarting strategies, except for the catch-up-after-stop strategy, which would require a doubling of that number.
The temporal pattern of breast cancer incidence varied according to restart strategy early on, but incidence essentially returned to that expected with undisrupted screening by 2025 for all four strategies, with some small fluctuations thereafter.
The impact on breast cancer mortality differed considerably long term. It increased slightly and transiently above the expected level with the catch-up-after-stop strategy, but there were sizable, long-lasting increases with the other strategies, with excess deaths still seen in 2060 for the everyone-delay strategy.
In absolute terms, the excess number of breast cancer deaths during 2020-2030, compared with undisrupted screening, was 181 with the everyone-delay strategy, 155 with the first-rounds-no-delay strategy, 145 with the continue-after-stopping-age strategy, and just 14 with the catch-up-after-stop strategy. Ms. Kregting declined to provide numbers for other countries, given that the model is based on the Dutch population and screening program.
Results in context
“The unprecedented burden of COVID-19 on health systems worldwide has important implications for cancer care,” said invited discussant Alessandra Gennari, MD, PhD, of the University of Eastern Piedmont and Maggiore della Carità Hospital, both in Novara, Italy.
“There is a delay in diagnosis due to the fact that screening programs and diagnostic programs have been decreased or suspended in many Western countries where this is standard of care. Patients also are more reluctant to present to health care services, delaying their diagnosis,” Dr. Gennari said.
Findings of this new study add to those of similar studies undertaken in Italy (published in In Vivo) and the United Kingdom (published in The Lancet Oncology) showing the likely marked toll of the pandemic on cancer diagnosis and mortality, Dr. Gennari noted. Taken together, the findings underscore the urgent need for policy interventions to mitigate this impact.
“These interventions should focus on increasing routine diagnostic capacity, through which up to 40% of patients with cancer are diagnosed,” Dr. Gennari recommended. “Public health messaging is needed that accurately conveys the risk of severe illness from COVID-19 versus the risks of not seeking health care advice if patients are symptomatic. Finally, there is a need for provision of evidence-based data on which clinicians can adequately base their decision on how to manage the risks of cancer patients and the risks and benefits of procedures during the pandemic.”
The current study did not have any specific funding, and Ms. Kregting disclosed no conflicts of interest. Dr. Gennari disclosed relationships with Roche, Eisai, Lilly, AstraZeneca, Daiichi Sankyo, Merck, Novartis, and Pfizer.
SOURCE: Kregting L et al. EBCC-12 Virtual Conference, Abstract 24.
according to a modeling study reported at the 12th European Breast Cancer Conference.
Fallout of the pandemic has included reductions in cancer screening and diagnosis, said study investigator Lindy M. Kregting, a PhD student in the department of public health at Erasmus Medical Center, University Medical Center Rotterdam (the Netherlands).
In the Netherlands, new breast cancer diagnoses fell dramatically from historical levels starting in February. The number in April was less than half of that expected.
Ms. Kregting and colleagues used modeling to assess the impact of four strategies for restarting breast cancer screening in the Netherlands. The strategies differed regarding the population affected, the duration of the effects, and changes in stopping age. The usual situation, without any disruption, served as the comparator.
Results showed wide variation across strategies with respect to the increase in screening capacity needed during the latter half of this year – from 0% to 100% – and the excess breast cancer mortality occurring during 2020-2030 – from as many as 181 excess breast cancer deaths to as few as 14.
“The effects of the disruption are dependent on the chosen restart strategy,” Ms. Kregting summarized. “It would be preferred to immediately catch up because this minimizes the impact, but it also requires a very high capacity, so it may not always be possible. A proper alternative would be to increase the stopping age, so no screens are omitted, because this requires a rather normal capacity, and it will result in only small effects on incidence and mortality.”
As screening programs restart in some countries, there are still a lot of unknowns that could affect outcomes, including how many women will attend given that some may stay away out of fear, Ms. Kregting cautioned.
“We plan to do further model calculations when we know exactly what has happened. ... For now, we just assumed some reasonable disruption periods, and we assumed that capacity would be back to the original, before COVID-19, but I think we can say this is probably not the case,” she added.
Study details
Ms. Kregting and colleagues used Dutch breast cancer screening program parameters (biennial digital mammography for women aged 50-75 years) and a microsimulation screening analysis model to simulate four strategies for restarting breast cancer screening after a 6-month disruption:
- “Everyone delay,” a strategy in which all screening continues in the order planned with no change in the stopping age of 75 years (so that one in four women ultimately miss a screening during their lifetime)
- “First rounds no delay,” in which there is a delay in screening except for women having their first screening
- “Continue after stopping age,” in which there is a delay in screening but temporary increasing of the stopping age (to 76.5 years) to ensure all women get their final screen
- “Catch-up after stop,” in which capacity is increased to ensure full catch-up, with all delayed screens caught up in a 6-month period (the second half of 2020).
Results showed that 5,872 women would be screened in the latter half of 2020 if screening proceeded as usual without disruption. The necessary capacity was essentially the same with all of the restarting strategies, except for the catch-up-after-stop strategy, which would require a doubling of that number.
The temporal pattern of breast cancer incidence varied according to restart strategy early on, but incidence essentially returned to that expected with undisrupted screening by 2025 for all four strategies, with some small fluctuations thereafter.
The impact on breast cancer mortality differed considerably long term. It increased slightly and transiently above the expected level with the catch-up-after-stop strategy, but there were sizable, long-lasting increases with the other strategies, with excess deaths still seen in 2060 for the everyone-delay strategy.
In absolute terms, the excess number of breast cancer deaths during 2020-2030, compared with undisrupted screening, was 181 with the everyone-delay strategy, 155 with the first-rounds-no-delay strategy, 145 with the continue-after-stopping-age strategy, and just 14 with the catch-up-after-stop strategy. Ms. Kregting declined to provide numbers for other countries, given that the model is based on the Dutch population and screening program.
Results in context
“The unprecedented burden of COVID-19 on health systems worldwide has important implications for cancer care,” said invited discussant Alessandra Gennari, MD, PhD, of the University of Eastern Piedmont and Maggiore della Carità Hospital, both in Novara, Italy.
“There is a delay in diagnosis due to the fact that screening programs and diagnostic programs have been decreased or suspended in many Western countries where this is standard of care. Patients also are more reluctant to present to health care services, delaying their diagnosis,” Dr. Gennari said.
Findings of this new study add to those of similar studies undertaken in Italy (published in In Vivo) and the United Kingdom (published in The Lancet Oncology) showing the likely marked toll of the pandemic on cancer diagnosis and mortality, Dr. Gennari noted. Taken together, the findings underscore the urgent need for policy interventions to mitigate this impact.
“These interventions should focus on increasing routine diagnostic capacity, through which up to 40% of patients with cancer are diagnosed,” Dr. Gennari recommended. “Public health messaging is needed that accurately conveys the risk of severe illness from COVID-19 versus the risks of not seeking health care advice if patients are symptomatic. Finally, there is a need for provision of evidence-based data on which clinicians can adequately base their decision on how to manage the risks of cancer patients and the risks and benefits of procedures during the pandemic.”
The current study did not have any specific funding, and Ms. Kregting disclosed no conflicts of interest. Dr. Gennari disclosed relationships with Roche, Eisai, Lilly, AstraZeneca, Daiichi Sankyo, Merck, Novartis, and Pfizer.
SOURCE: Kregting L et al. EBCC-12 Virtual Conference, Abstract 24.
according to a modeling study reported at the 12th European Breast Cancer Conference.
Fallout of the pandemic has included reductions in cancer screening and diagnosis, said study investigator Lindy M. Kregting, a PhD student in the department of public health at Erasmus Medical Center, University Medical Center Rotterdam (the Netherlands).
In the Netherlands, new breast cancer diagnoses fell dramatically from historical levels starting in February. The number in April was less than half of that expected.
Ms. Kregting and colleagues used modeling to assess the impact of four strategies for restarting breast cancer screening in the Netherlands. The strategies differed regarding the population affected, the duration of the effects, and changes in stopping age. The usual situation, without any disruption, served as the comparator.
Results showed wide variation across strategies with respect to the increase in screening capacity needed during the latter half of this year – from 0% to 100% – and the excess breast cancer mortality occurring during 2020-2030 – from as many as 181 excess breast cancer deaths to as few as 14.
“The effects of the disruption are dependent on the chosen restart strategy,” Ms. Kregting summarized. “It would be preferred to immediately catch up because this minimizes the impact, but it also requires a very high capacity, so it may not always be possible. A proper alternative would be to increase the stopping age, so no screens are omitted, because this requires a rather normal capacity, and it will result in only small effects on incidence and mortality.”
As screening programs restart in some countries, there are still a lot of unknowns that could affect outcomes, including how many women will attend given that some may stay away out of fear, Ms. Kregting cautioned.
“We plan to do further model calculations when we know exactly what has happened. ... For now, we just assumed some reasonable disruption periods, and we assumed that capacity would be back to the original, before COVID-19, but I think we can say this is probably not the case,” she added.
Study details
Ms. Kregting and colleagues used Dutch breast cancer screening program parameters (biennial digital mammography for women aged 50-75 years) and a microsimulation screening analysis model to simulate four strategies for restarting breast cancer screening after a 6-month disruption:
- “Everyone delay,” a strategy in which all screening continues in the order planned with no change in the stopping age of 75 years (so that one in four women ultimately miss a screening during their lifetime)
- “First rounds no delay,” in which there is a delay in screening except for women having their first screening
- “Continue after stopping age,” in which there is a delay in screening but temporary increasing of the stopping age (to 76.5 years) to ensure all women get their final screen
- “Catch-up after stop,” in which capacity is increased to ensure full catch-up, with all delayed screens caught up in a 6-month period (the second half of 2020).
Results showed that 5,872 women would be screened in the latter half of 2020 if screening proceeded as usual without disruption. The necessary capacity was essentially the same with all of the restarting strategies, except for the catch-up-after-stop strategy, which would require a doubling of that number.
The temporal pattern of breast cancer incidence varied according to restart strategy early on, but incidence essentially returned to that expected with undisrupted screening by 2025 for all four strategies, with some small fluctuations thereafter.
The impact on breast cancer mortality differed considerably long term. It increased slightly and transiently above the expected level with the catch-up-after-stop strategy, but there were sizable, long-lasting increases with the other strategies, with excess deaths still seen in 2060 for the everyone-delay strategy.
In absolute terms, the excess number of breast cancer deaths during 2020-2030, compared with undisrupted screening, was 181 with the everyone-delay strategy, 155 with the first-rounds-no-delay strategy, 145 with the continue-after-stopping-age strategy, and just 14 with the catch-up-after-stop strategy. Ms. Kregting declined to provide numbers for other countries, given that the model is based on the Dutch population and screening program.
Results in context
“The unprecedented burden of COVID-19 on health systems worldwide has important implications for cancer care,” said invited discussant Alessandra Gennari, MD, PhD, of the University of Eastern Piedmont and Maggiore della Carità Hospital, both in Novara, Italy.
“There is a delay in diagnosis due to the fact that screening programs and diagnostic programs have been decreased or suspended in many Western countries where this is standard of care. Patients also are more reluctant to present to health care services, delaying their diagnosis,” Dr. Gennari said.
Findings of this new study add to those of similar studies undertaken in Italy (published in In Vivo) and the United Kingdom (published in The Lancet Oncology) showing the likely marked toll of the pandemic on cancer diagnosis and mortality, Dr. Gennari noted. Taken together, the findings underscore the urgent need for policy interventions to mitigate this impact.
“These interventions should focus on increasing routine diagnostic capacity, through which up to 40% of patients with cancer are diagnosed,” Dr. Gennari recommended. “Public health messaging is needed that accurately conveys the risk of severe illness from COVID-19 versus the risks of not seeking health care advice if patients are symptomatic. Finally, there is a need for provision of evidence-based data on which clinicians can adequately base their decision on how to manage the risks of cancer patients and the risks and benefits of procedures during the pandemic.”
The current study did not have any specific funding, and Ms. Kregting disclosed no conflicts of interest. Dr. Gennari disclosed relationships with Roche, Eisai, Lilly, AstraZeneca, Daiichi Sankyo, Merck, Novartis, and Pfizer.
SOURCE: Kregting L et al. EBCC-12 Virtual Conference, Abstract 24.
FROM EBCC-12 VIRTUAL CONFERENCE
Radiotherapy planning scans reveal breast cancer patients’ CVD risk
Radiotherapy planning scans may be a rich untapped source of information for estimating the risk of cardiovascular disease (CVD) in breast cancer patients, a large study suggests.
Researchers found that breast cancer patients with a coronary artery calcifications (CAC) score exceeding 400 had nearly four times the adjusted risk of fatal and nonfatal CVD events when compared with patients who had a CAC score of 0.
Patients with scores exceeding 400 also had more than eight times the risk of coronary heart disease events. The associations were especially strong in the subset of patients who received anthracycline-containing chemotherapy.
Helena Verkooijen, MD, PhD, of University Medical Center Utrecht (the Netherlands) presented these findings at the 12th European Breast Cancer Conference.
Dr. Verkooijen noted that, over the past 50 years, breast cancer has dramatically declined as a cause of death among breast cancer survivors, while CVD has continued to account for about 20% of the total deaths in this population.
CACs are sometimes incidentally seen in radiotherapy planning CT scans. “Right now, this information is not often used for patient stratification or informing patients about their cardiovascular risk, and this is a pity, because we know that it is an independent risk factor, and, often, the presence of calcifications can occur in the absence of other cardiovascular risk factors,” Dr. Verkooijen said.
Study details
Dr. Verkooijen and and colleagues from the Bragataston Study Group retrospectively studied 15,919 breast cancer patients who had radiotherapy planning CT scans during 2004-2016 at three Dutch institutions.
The researchers used an automated deep-learning algorithm (described in Radiology) to detect and quantify coronary calcium in planning CT scans and calculate CAC scores, classifying them into five categories.
The median follow-up was 51.6 months. Most women (70%) did not have any calcium detected in their coronary arteries (CAC score of 0), while 3% fell into the highest category (CAC score of >400).
The incidence of nonfatal and fatal CVD events increased with CAC score:
- 5.1% with a score of 0.
- 8.5% with a score of 1-10.
- 13.5% with a score of 11-100.
- 17.6% with a score of 101-400.
- 28.0% with a score greater than 400.
In analyses adjusted for age, laterality of radiation, and receipt of cardiotoxic agents – anthracyclines and trastuzumab – women with a score exceeding 400 had sharply elevated adjusted risks of CVD events (hazard ratio, 3.7), of coronary heart disease events specifically (HR, 8.2), and of death from any cause (HR, 2.8), when compared with peers who had a CAC score of 0.
On further scrutiny of CVD events, the pattern was similar regardless of whether radiation was left- or right-sided. However, the association was stronger among women who received anthracyclines as compared with counterparts who did not, with a nearly six-fold higher risk for those with highest versus lowest CAC scores.
When the women were surveyed, nearly 90% said they wanted to be informed about their CAC score and associated CVD risk, even in the absence of evidence-based risk reduction strategies.
Applying the results
“We believe that this is the first time that anyone has conducted a study on this topic on a scale like this, and we show that it is possible to relatively easily identify women at a very high risk of CVD,” Dr. Verkooijen said. “But what do we do with this information, because these scans are not made to answer this question. … This is information that we get that we haven’t really requested. I think we should only use this information when we have really shown that we can help patients reduce their risk of cardiovascular disease.”
To that end, Dr. Verkooijen and colleagues are planning additional research that will look at the potential benefit of referring high-risk patients for cardioprevention strategies and at the role of using the CAC score to personalize treatment strategies.
“This is an interesting and novel approach to predicting cardiac events for patients undergoing breast cancer treatment,” Meena S. Moran, MD, of Yale University in New Haven, Conn., commented in an interview.
The approach would likely be feasible in typical practice with widespread availability of the automated algorithm and might even alter treatment planning in real time, she said. “From the standpoint of radiation oncology, it would mean running the software to generate a CAC score, which would allow for modifications in decision-making during treatment planning, such as whether or not to include the internal mammary nodal chain in a patient who may be in the ‘gray zone’ for regional nodal radiation. For example, if a patient has a high CAC score, plus if they have received (or are receiving) cardiotoxic drugs, radiation oncologists can use that information as an additional factor to consider in the decision-making of whether or not to include the internal mammary chain, which inevitably can increase the dose delivered to the heart,” Dr. Moran elaborated.
Dr. Verkooijen’s study was supported by the Dutch Cancer Society, the European Commission, the Dutch Digestive Foundation, the Netherlands Organisation for Scientific Research, and Elekta. Dr. Verkooijen and Dr. Moran disclosed no conflicts of interest.
SOURCE: Gal R et al. EBCC-12 Virtual Congress, Abstract 7.
Radiotherapy planning scans may be a rich untapped source of information for estimating the risk of cardiovascular disease (CVD) in breast cancer patients, a large study suggests.
Researchers found that breast cancer patients with a coronary artery calcifications (CAC) score exceeding 400 had nearly four times the adjusted risk of fatal and nonfatal CVD events when compared with patients who had a CAC score of 0.
Patients with scores exceeding 400 also had more than eight times the risk of coronary heart disease events. The associations were especially strong in the subset of patients who received anthracycline-containing chemotherapy.
Helena Verkooijen, MD, PhD, of University Medical Center Utrecht (the Netherlands) presented these findings at the 12th European Breast Cancer Conference.
Dr. Verkooijen noted that, over the past 50 years, breast cancer has dramatically declined as a cause of death among breast cancer survivors, while CVD has continued to account for about 20% of the total deaths in this population.
CACs are sometimes incidentally seen in radiotherapy planning CT scans. “Right now, this information is not often used for patient stratification or informing patients about their cardiovascular risk, and this is a pity, because we know that it is an independent risk factor, and, often, the presence of calcifications can occur in the absence of other cardiovascular risk factors,” Dr. Verkooijen said.
Study details
Dr. Verkooijen and and colleagues from the Bragataston Study Group retrospectively studied 15,919 breast cancer patients who had radiotherapy planning CT scans during 2004-2016 at three Dutch institutions.
The researchers used an automated deep-learning algorithm (described in Radiology) to detect and quantify coronary calcium in planning CT scans and calculate CAC scores, classifying them into five categories.
The median follow-up was 51.6 months. Most women (70%) did not have any calcium detected in their coronary arteries (CAC score of 0), while 3% fell into the highest category (CAC score of >400).
The incidence of nonfatal and fatal CVD events increased with CAC score:
- 5.1% with a score of 0.
- 8.5% with a score of 1-10.
- 13.5% with a score of 11-100.
- 17.6% with a score of 101-400.
- 28.0% with a score greater than 400.
In analyses adjusted for age, laterality of radiation, and receipt of cardiotoxic agents – anthracyclines and trastuzumab – women with a score exceeding 400 had sharply elevated adjusted risks of CVD events (hazard ratio, 3.7), of coronary heart disease events specifically (HR, 8.2), and of death from any cause (HR, 2.8), when compared with peers who had a CAC score of 0.
On further scrutiny of CVD events, the pattern was similar regardless of whether radiation was left- or right-sided. However, the association was stronger among women who received anthracyclines as compared with counterparts who did not, with a nearly six-fold higher risk for those with highest versus lowest CAC scores.
When the women were surveyed, nearly 90% said they wanted to be informed about their CAC score and associated CVD risk, even in the absence of evidence-based risk reduction strategies.
Applying the results
“We believe that this is the first time that anyone has conducted a study on this topic on a scale like this, and we show that it is possible to relatively easily identify women at a very high risk of CVD,” Dr. Verkooijen said. “But what do we do with this information, because these scans are not made to answer this question. … This is information that we get that we haven’t really requested. I think we should only use this information when we have really shown that we can help patients reduce their risk of cardiovascular disease.”
To that end, Dr. Verkooijen and colleagues are planning additional research that will look at the potential benefit of referring high-risk patients for cardioprevention strategies and at the role of using the CAC score to personalize treatment strategies.
“This is an interesting and novel approach to predicting cardiac events for patients undergoing breast cancer treatment,” Meena S. Moran, MD, of Yale University in New Haven, Conn., commented in an interview.
The approach would likely be feasible in typical practice with widespread availability of the automated algorithm and might even alter treatment planning in real time, she said. “From the standpoint of radiation oncology, it would mean running the software to generate a CAC score, which would allow for modifications in decision-making during treatment planning, such as whether or not to include the internal mammary nodal chain in a patient who may be in the ‘gray zone’ for regional nodal radiation. For example, if a patient has a high CAC score, plus if they have received (or are receiving) cardiotoxic drugs, radiation oncologists can use that information as an additional factor to consider in the decision-making of whether or not to include the internal mammary chain, which inevitably can increase the dose delivered to the heart,” Dr. Moran elaborated.
Dr. Verkooijen’s study was supported by the Dutch Cancer Society, the European Commission, the Dutch Digestive Foundation, the Netherlands Organisation for Scientific Research, and Elekta. Dr. Verkooijen and Dr. Moran disclosed no conflicts of interest.
SOURCE: Gal R et al. EBCC-12 Virtual Congress, Abstract 7.
Radiotherapy planning scans may be a rich untapped source of information for estimating the risk of cardiovascular disease (CVD) in breast cancer patients, a large study suggests.
Researchers found that breast cancer patients with a coronary artery calcifications (CAC) score exceeding 400 had nearly four times the adjusted risk of fatal and nonfatal CVD events when compared with patients who had a CAC score of 0.
Patients with scores exceeding 400 also had more than eight times the risk of coronary heart disease events. The associations were especially strong in the subset of patients who received anthracycline-containing chemotherapy.
Helena Verkooijen, MD, PhD, of University Medical Center Utrecht (the Netherlands) presented these findings at the 12th European Breast Cancer Conference.
Dr. Verkooijen noted that, over the past 50 years, breast cancer has dramatically declined as a cause of death among breast cancer survivors, while CVD has continued to account for about 20% of the total deaths in this population.
CACs are sometimes incidentally seen in radiotherapy planning CT scans. “Right now, this information is not often used for patient stratification or informing patients about their cardiovascular risk, and this is a pity, because we know that it is an independent risk factor, and, often, the presence of calcifications can occur in the absence of other cardiovascular risk factors,” Dr. Verkooijen said.
Study details
Dr. Verkooijen and and colleagues from the Bragataston Study Group retrospectively studied 15,919 breast cancer patients who had radiotherapy planning CT scans during 2004-2016 at three Dutch institutions.
The researchers used an automated deep-learning algorithm (described in Radiology) to detect and quantify coronary calcium in planning CT scans and calculate CAC scores, classifying them into five categories.
The median follow-up was 51.6 months. Most women (70%) did not have any calcium detected in their coronary arteries (CAC score of 0), while 3% fell into the highest category (CAC score of >400).
The incidence of nonfatal and fatal CVD events increased with CAC score:
- 5.1% with a score of 0.
- 8.5% with a score of 1-10.
- 13.5% with a score of 11-100.
- 17.6% with a score of 101-400.
- 28.0% with a score greater than 400.
In analyses adjusted for age, laterality of radiation, and receipt of cardiotoxic agents – anthracyclines and trastuzumab – women with a score exceeding 400 had sharply elevated adjusted risks of CVD events (hazard ratio, 3.7), of coronary heart disease events specifically (HR, 8.2), and of death from any cause (HR, 2.8), when compared with peers who had a CAC score of 0.
On further scrutiny of CVD events, the pattern was similar regardless of whether radiation was left- or right-sided. However, the association was stronger among women who received anthracyclines as compared with counterparts who did not, with a nearly six-fold higher risk for those with highest versus lowest CAC scores.
When the women were surveyed, nearly 90% said they wanted to be informed about their CAC score and associated CVD risk, even in the absence of evidence-based risk reduction strategies.
Applying the results
“We believe that this is the first time that anyone has conducted a study on this topic on a scale like this, and we show that it is possible to relatively easily identify women at a very high risk of CVD,” Dr. Verkooijen said. “But what do we do with this information, because these scans are not made to answer this question. … This is information that we get that we haven’t really requested. I think we should only use this information when we have really shown that we can help patients reduce their risk of cardiovascular disease.”
To that end, Dr. Verkooijen and colleagues are planning additional research that will look at the potential benefit of referring high-risk patients for cardioprevention strategies and at the role of using the CAC score to personalize treatment strategies.
“This is an interesting and novel approach to predicting cardiac events for patients undergoing breast cancer treatment,” Meena S. Moran, MD, of Yale University in New Haven, Conn., commented in an interview.
The approach would likely be feasible in typical practice with widespread availability of the automated algorithm and might even alter treatment planning in real time, she said. “From the standpoint of radiation oncology, it would mean running the software to generate a CAC score, which would allow for modifications in decision-making during treatment planning, such as whether or not to include the internal mammary nodal chain in a patient who may be in the ‘gray zone’ for regional nodal radiation. For example, if a patient has a high CAC score, plus if they have received (or are receiving) cardiotoxic drugs, radiation oncologists can use that information as an additional factor to consider in the decision-making of whether or not to include the internal mammary chain, which inevitably can increase the dose delivered to the heart,” Dr. Moran elaborated.
Dr. Verkooijen’s study was supported by the Dutch Cancer Society, the European Commission, the Dutch Digestive Foundation, the Netherlands Organisation for Scientific Research, and Elekta. Dr. Verkooijen and Dr. Moran disclosed no conflicts of interest.
SOURCE: Gal R et al. EBCC-12 Virtual Congress, Abstract 7.
FROM EBCC-12 VIRTUAL CONFERENCE
