Article Type
Changed
Thu, 05/10/2018 - 00:04
Display Headline
Team identifies new prognostic factor for MF

Micrograph showing mycosis fungoides
mycosis fungoides
Micrograph showing

New research suggests DNA sequencing can reveal which patients with early stage mycosis fungoides (MF) will develop aggressive disease.

By sequencing the T-cell receptor beta gene (TCRB) in skin biopsies from MF patients, investigators were able to measure the tumor clone frequency (TCF), or the percentage of all T cells that represent the MF clone.

The researchers found the TCF could predict progression-free survival (PFS) and overall survival (OS).

In fact, for patients with early stage MF, TCF was a stronger predictor of PFS than other established prognostic factors.

“While more work needs to be done, we think this approach has the potential to prospectively identify a subgroup of patients who are destined to develop aggressive, life-threatening disease and treat them in a more aggressive fashion with the intent to better manage and, ideally, cure their cancer,” said Thomas Kupper, MD, of Brigham and Women’s Hospital in Boston, Massachusetts.

“At the same time, we believe we can provide reassurance to patients with a low-risk (low TCF) profile that they are likely to survive indefinitely with conventional conservative therapies. As a physician who has treated this disease for decades, I am excited to be involved with work that so directly and profoundly affects the care and management of these patients.”

Dr Kupper and his colleagues described this work in Science Translational Medicine.

The researchers had previously published a study showing that high-throughput sequencing of the TCRB gene was an accurate way to diagnose cutaneous T-cell lymphoma (CTCL), including MF.

With the current study, the investigators set out to determine if the method could be used to predict progression and survival in patients with CTCL.

The team sequenced TCRB in lesional skin biopsies from 309 CTCL patients, most of whom had MF. The discovery cohort had 208 patients (177 with MF), and the validation cohort had 101 patients (87 with MF).

The sequencing produced a snapshot of the TCRB genes from a large number of cells at the site of the lesion. And the researchers could use this to measure TCF.

The team tested the association of TCF with prognosis in all CTCL patients in the discovery cohort and found a TCF greater than 25% in the skin was significantly associated with reduced PFS (P<0.001) and OS (P<0.001). Results were similar in the validation cohort (P<0.001 for PFS and OS).

The investigators also found that TCF was significantly associated with PFS (P<0.001) and OS (P<0.001) in MF patients but not in patients with Sézary syndrome. The team noted that they did not assess the predictive value of TCF in the blood of Sézary patients.

In a multivariable analysis, TCF was still significantly associated with PFS (P<0.001) and OS (P<0.001) in the MF patients.

The researchers also assessed potential prognostic variables in the early stage MF patients and found a TCF greater than 25% was a stronger predictor of PFS than any other established prognostic factor. This includes disease stage, presence of plaques, elevated lactate dehydrogenase, age, large-cell transformation, and CLIPI score.

“In reviewing the results, 2 different patients could have identical-looking skin lesions, but one might have a TCF of 8%, and one would have a TCF of 40%,” Dr Kupper noted. “The latter patient was highly likely to progress—something we would never have been able to predict before this discovery.”

“The TCF was independent of how thick or thin the skin lesions were. Most importantly, compared to all other currently used means of trying to predict which patients would progress, TCF was by far the most sensitive and specific.”

 

 

The high-throughput sequencing in this study was performed using ImmunoSEQ, an assay developed by Adaptive Biotechnologies. The company did not sponsor the study, but company employees were involved in the research.

Publications
Topics

Micrograph showing mycosis fungoides
mycosis fungoides
Micrograph showing

New research suggests DNA sequencing can reveal which patients with early stage mycosis fungoides (MF) will develop aggressive disease.

By sequencing the T-cell receptor beta gene (TCRB) in skin biopsies from MF patients, investigators were able to measure the tumor clone frequency (TCF), or the percentage of all T cells that represent the MF clone.

The researchers found the TCF could predict progression-free survival (PFS) and overall survival (OS).

In fact, for patients with early stage MF, TCF was a stronger predictor of PFS than other established prognostic factors.

“While more work needs to be done, we think this approach has the potential to prospectively identify a subgroup of patients who are destined to develop aggressive, life-threatening disease and treat them in a more aggressive fashion with the intent to better manage and, ideally, cure their cancer,” said Thomas Kupper, MD, of Brigham and Women’s Hospital in Boston, Massachusetts.

“At the same time, we believe we can provide reassurance to patients with a low-risk (low TCF) profile that they are likely to survive indefinitely with conventional conservative therapies. As a physician who has treated this disease for decades, I am excited to be involved with work that so directly and profoundly affects the care and management of these patients.”

Dr Kupper and his colleagues described this work in Science Translational Medicine.

The researchers had previously published a study showing that high-throughput sequencing of the TCRB gene was an accurate way to diagnose cutaneous T-cell lymphoma (CTCL), including MF.

With the current study, the investigators set out to determine if the method could be used to predict progression and survival in patients with CTCL.

The team sequenced TCRB in lesional skin biopsies from 309 CTCL patients, most of whom had MF. The discovery cohort had 208 patients (177 with MF), and the validation cohort had 101 patients (87 with MF).

The sequencing produced a snapshot of the TCRB genes from a large number of cells at the site of the lesion. And the researchers could use this to measure TCF.

The team tested the association of TCF with prognosis in all CTCL patients in the discovery cohort and found a TCF greater than 25% in the skin was significantly associated with reduced PFS (P<0.001) and OS (P<0.001). Results were similar in the validation cohort (P<0.001 for PFS and OS).

The investigators also found that TCF was significantly associated with PFS (P<0.001) and OS (P<0.001) in MF patients but not in patients with Sézary syndrome. The team noted that they did not assess the predictive value of TCF in the blood of Sézary patients.

In a multivariable analysis, TCF was still significantly associated with PFS (P<0.001) and OS (P<0.001) in the MF patients.

The researchers also assessed potential prognostic variables in the early stage MF patients and found a TCF greater than 25% was a stronger predictor of PFS than any other established prognostic factor. This includes disease stage, presence of plaques, elevated lactate dehydrogenase, age, large-cell transformation, and CLIPI score.

“In reviewing the results, 2 different patients could have identical-looking skin lesions, but one might have a TCF of 8%, and one would have a TCF of 40%,” Dr Kupper noted. “The latter patient was highly likely to progress—something we would never have been able to predict before this discovery.”

“The TCF was independent of how thick or thin the skin lesions were. Most importantly, compared to all other currently used means of trying to predict which patients would progress, TCF was by far the most sensitive and specific.”

 

 

The high-throughput sequencing in this study was performed using ImmunoSEQ, an assay developed by Adaptive Biotechnologies. The company did not sponsor the study, but company employees were involved in the research.

Micrograph showing mycosis fungoides
mycosis fungoides
Micrograph showing

New research suggests DNA sequencing can reveal which patients with early stage mycosis fungoides (MF) will develop aggressive disease.

By sequencing the T-cell receptor beta gene (TCRB) in skin biopsies from MF patients, investigators were able to measure the tumor clone frequency (TCF), or the percentage of all T cells that represent the MF clone.

The researchers found the TCF could predict progression-free survival (PFS) and overall survival (OS).

In fact, for patients with early stage MF, TCF was a stronger predictor of PFS than other established prognostic factors.

“While more work needs to be done, we think this approach has the potential to prospectively identify a subgroup of patients who are destined to develop aggressive, life-threatening disease and treat them in a more aggressive fashion with the intent to better manage and, ideally, cure their cancer,” said Thomas Kupper, MD, of Brigham and Women’s Hospital in Boston, Massachusetts.

“At the same time, we believe we can provide reassurance to patients with a low-risk (low TCF) profile that they are likely to survive indefinitely with conventional conservative therapies. As a physician who has treated this disease for decades, I am excited to be involved with work that so directly and profoundly affects the care and management of these patients.”

Dr Kupper and his colleagues described this work in Science Translational Medicine.

The researchers had previously published a study showing that high-throughput sequencing of the TCRB gene was an accurate way to diagnose cutaneous T-cell lymphoma (CTCL), including MF.

With the current study, the investigators set out to determine if the method could be used to predict progression and survival in patients with CTCL.

The team sequenced TCRB in lesional skin biopsies from 309 CTCL patients, most of whom had MF. The discovery cohort had 208 patients (177 with MF), and the validation cohort had 101 patients (87 with MF).

The sequencing produced a snapshot of the TCRB genes from a large number of cells at the site of the lesion. And the researchers could use this to measure TCF.

The team tested the association of TCF with prognosis in all CTCL patients in the discovery cohort and found a TCF greater than 25% in the skin was significantly associated with reduced PFS (P<0.001) and OS (P<0.001). Results were similar in the validation cohort (P<0.001 for PFS and OS).

The investigators also found that TCF was significantly associated with PFS (P<0.001) and OS (P<0.001) in MF patients but not in patients with Sézary syndrome. The team noted that they did not assess the predictive value of TCF in the blood of Sézary patients.

In a multivariable analysis, TCF was still significantly associated with PFS (P<0.001) and OS (P<0.001) in the MF patients.

The researchers also assessed potential prognostic variables in the early stage MF patients and found a TCF greater than 25% was a stronger predictor of PFS than any other established prognostic factor. This includes disease stage, presence of plaques, elevated lactate dehydrogenase, age, large-cell transformation, and CLIPI score.

“In reviewing the results, 2 different patients could have identical-looking skin lesions, but one might have a TCF of 8%, and one would have a TCF of 40%,” Dr Kupper noted. “The latter patient was highly likely to progress—something we would never have been able to predict before this discovery.”

“The TCF was independent of how thick or thin the skin lesions were. Most importantly, compared to all other currently used means of trying to predict which patients would progress, TCF was by far the most sensitive and specific.”

 

 

The high-throughput sequencing in this study was performed using ImmunoSEQ, an assay developed by Adaptive Biotechnologies. The company did not sponsor the study, but company employees were involved in the research.

Publications
Publications
Topics
Article Type
Display Headline
Team identifies new prognostic factor for MF
Display Headline
Team identifies new prognostic factor for MF
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica