Cargando…

Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA

BACKGROUND: Multiple approaches based on cell-free DNA (cfDNA) have been applied to detect minimal residual disease (MRD) and to predict prognosis or recurrence. However, a comparison of the approaches used in different cohorts and studies is difficult. We aimed to compare multiple approaches for MR...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Wenyang, Li, Yifei, Tang, Yuan, Song, Qianqian, Wang, Jingjing, Li, Ning, Chen, Silin, Shi, Jinming, Wang, Shulian, Li, Yexiong, Jiao, Yuchen, Zeng, Yixin, Jin, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933829/
https://www.ncbi.nlm.nih.gov/pubmed/35306340
http://dx.doi.org/10.1016/j.ebiom.2022.103945
_version_ 1784671743164547072
author Liu, Wenyang
Li, Yifei
Tang, Yuan
Song, Qianqian
Wang, Jingjing
Li, Ning
Chen, Silin
Shi, Jinming
Wang, Shulian
Li, Yexiong
Jiao, Yuchen
Zeng, Yixin
Jin, Jing
author_facet Liu, Wenyang
Li, Yifei
Tang, Yuan
Song, Qianqian
Wang, Jingjing
Li, Ning
Chen, Silin
Shi, Jinming
Wang, Shulian
Li, Yexiong
Jiao, Yuchen
Zeng, Yixin
Jin, Jing
author_sort Liu, Wenyang
collection PubMed
description BACKGROUND: Multiple approaches based on cell-free DNA (cfDNA) have been applied to detect minimal residual disease (MRD) and to predict prognosis or recurrence. However, a comparison of the approaches used in different cohorts and studies is difficult. We aimed to compare multiple approaches for MRD analysis after neoadjuvant therapy (NAT) in patients with locally advanced rectal cancer (LARC). METHODS: Sixty patients with LARC from a multicentre, phase II/III randomized trial were included, with tissue and blood samples collected. For each cfDNA sample, we profiled MRD using 3 approaches: personalized assay targeting tumour-informed mutations, universal panel of genes frequently mutated in colorectal cancer (CRC), and low depth sequencing for copy number alterations (CNAs). FINDINGS: Positive MRD based on post-NAT personalized assay was significantly associated with an increased risk of recurrence (HR = 27.38; log-rank P < 0.0001). MRD analysis based on universal panel (HR = 5.18; log-rank P = 0.00086) and CNAs analysis (HR = 9.24; log-rank P = 0.00017) showed a compromised performance in predicting recurrence. Both the personalized assay and universal panel showed complementary pattern to CNAs analysis in detecting cases with recurrence and the combination of the two types of biomarkers may lead to better performance. INTERPRETATION: The combination of mutation profiling and CNA profiling can improve the detection of MRD, which may help optimize the treatment strategies for patients with LARC.
format Online
Article
Text
id pubmed-8933829
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-89338292022-03-20 Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA Liu, Wenyang Li, Yifei Tang, Yuan Song, Qianqian Wang, Jingjing Li, Ning Chen, Silin Shi, Jinming Wang, Shulian Li, Yexiong Jiao, Yuchen Zeng, Yixin Jin, Jing EBioMedicine Articles BACKGROUND: Multiple approaches based on cell-free DNA (cfDNA) have been applied to detect minimal residual disease (MRD) and to predict prognosis or recurrence. However, a comparison of the approaches used in different cohorts and studies is difficult. We aimed to compare multiple approaches for MRD analysis after neoadjuvant therapy (NAT) in patients with locally advanced rectal cancer (LARC). METHODS: Sixty patients with LARC from a multicentre, phase II/III randomized trial were included, with tissue and blood samples collected. For each cfDNA sample, we profiled MRD using 3 approaches: personalized assay targeting tumour-informed mutations, universal panel of genes frequently mutated in colorectal cancer (CRC), and low depth sequencing for copy number alterations (CNAs). FINDINGS: Positive MRD based on post-NAT personalized assay was significantly associated with an increased risk of recurrence (HR = 27.38; log-rank P < 0.0001). MRD analysis based on universal panel (HR = 5.18; log-rank P = 0.00086) and CNAs analysis (HR = 9.24; log-rank P = 0.00017) showed a compromised performance in predicting recurrence. Both the personalized assay and universal panel showed complementary pattern to CNAs analysis in detecting cases with recurrence and the combination of the two types of biomarkers may lead to better performance. INTERPRETATION: The combination of mutation profiling and CNA profiling can improve the detection of MRD, which may help optimize the treatment strategies for patients with LARC. Elsevier 2022-03-17 /pmc/articles/PMC8933829/ /pubmed/35306340 http://dx.doi.org/10.1016/j.ebiom.2022.103945 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Liu, Wenyang
Li, Yifei
Tang, Yuan
Song, Qianqian
Wang, Jingjing
Li, Ning
Chen, Silin
Shi, Jinming
Wang, Shulian
Li, Yexiong
Jiao, Yuchen
Zeng, Yixin
Jin, Jing
Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA
title Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA
title_full Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA
title_fullStr Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA
title_full_unstemmed Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA
title_short Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA
title_sort response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour dna
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933829/
https://www.ncbi.nlm.nih.gov/pubmed/35306340
http://dx.doi.org/10.1016/j.ebiom.2022.103945
work_keys_str_mv AT liuwenyang responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT liyifei responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT tangyuan responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT songqianqian responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT wangjingjing responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT lining responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT chensilin responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT shijinming responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT wangshulian responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT liyexiong responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT jiaoyuchen responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT zengyixin responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna
AT jinjing responsepredictionandriskstratificationofpatientswithrectalcancerafterneoadjuvanttherapythroughananalysisofcirculatingtumourdna