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Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer
BACKGROUND: Despite the great achievements made in immune-checkpoint-blockade (ICB) in cancer therapy, there are no effective predictive biomarkers in gastrointestinal (GI) cancer. METHODS: This study included 93 metastatic GI patients treated with ICBs. The first cohort comprising 73 GI cancer pati...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430454/ https://www.ncbi.nlm.nih.gov/pubmed/32792358 http://dx.doi.org/10.1136/jitc-2019-000374 |
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author | Lu, Zhihao Chen, Huan Li, Shuang Gong, Jifang Li, Jian Zou, Jianling Wu, Lihong Yu, Jianing Han, Wenbo Sun, Huaibo Jiao, Xi Zhang, Xiaotian Peng, Zhi Lu, Ming Wang, Zhenghang Zhang, Henghui Shen, Lin |
author_facet | Lu, Zhihao Chen, Huan Li, Shuang Gong, Jifang Li, Jian Zou, Jianling Wu, Lihong Yu, Jianing Han, Wenbo Sun, Huaibo Jiao, Xi Zhang, Xiaotian Peng, Zhi Lu, Ming Wang, Zhenghang Zhang, Henghui Shen, Lin |
author_sort | Lu, Zhihao |
collection | PubMed |
description | BACKGROUND: Despite the great achievements made in immune-checkpoint-blockade (ICB) in cancer therapy, there are no effective predictive biomarkers in gastrointestinal (GI) cancer. METHODS: This study included 93 metastatic GI patients treated with ICBs. The first cohort comprising 73 GI cancer patients were randomly assigned into discovery (n=44) and validation (n=29) cohorts. Comprehensive genomic profiling was performed on all samples to determine tumor mutational burden (TMB) and copy-number alterations (CNAs). A subset of samples was collected for RNA immune oncology (IO) panel sequencing, microsatellite instability (MSI)/mismatch repair and program death ligand 1 (PD-L1) expression evaluation. In addition, 20 gastric cancer (GC) patients were recruited as the second validation cohort. RESULTS: In the first cohort of 73 GI cancer patients, a lower burden of CNA was observed in patients with durable clinical benefit (DCB). In both the discovery (n=44) and validation (n=29) subsets, lower burden of CNA was associated with an improved clinical benefit and better overall survival (OS). Efficacy also correlated with a higher TMB. Of note, a combinatorial biomarker of TMB and CNA may better stratify DCB patients from ICB treatment, which was further confirmed in the second validation cohort of 20 GC patients. Finally, patients with lower burden of CNA revealed increased immune signatures in our cohort and The Cancer Genome Atlas data sets as well. CONCLUSIONS: Our results suggest that the burden of CNA may have superior predictive value compared with other signatures, including PD-L1, MSI and TMB. The joint biomarker of CNA burden and TMB may better stratify DCB patients, thereby providing a rational choice for GI patients treated with ICBs. |
format | Online Article Text |
id | pubmed-7430454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74304542020-08-24 Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer Lu, Zhihao Chen, Huan Li, Shuang Gong, Jifang Li, Jian Zou, Jianling Wu, Lihong Yu, Jianing Han, Wenbo Sun, Huaibo Jiao, Xi Zhang, Xiaotian Peng, Zhi Lu, Ming Wang, Zhenghang Zhang, Henghui Shen, Lin J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Despite the great achievements made in immune-checkpoint-blockade (ICB) in cancer therapy, there are no effective predictive biomarkers in gastrointestinal (GI) cancer. METHODS: This study included 93 metastatic GI patients treated with ICBs. The first cohort comprising 73 GI cancer patients were randomly assigned into discovery (n=44) and validation (n=29) cohorts. Comprehensive genomic profiling was performed on all samples to determine tumor mutational burden (TMB) and copy-number alterations (CNAs). A subset of samples was collected for RNA immune oncology (IO) panel sequencing, microsatellite instability (MSI)/mismatch repair and program death ligand 1 (PD-L1) expression evaluation. In addition, 20 gastric cancer (GC) patients were recruited as the second validation cohort. RESULTS: In the first cohort of 73 GI cancer patients, a lower burden of CNA was observed in patients with durable clinical benefit (DCB). In both the discovery (n=44) and validation (n=29) subsets, lower burden of CNA was associated with an improved clinical benefit and better overall survival (OS). Efficacy also correlated with a higher TMB. Of note, a combinatorial biomarker of TMB and CNA may better stratify DCB patients from ICB treatment, which was further confirmed in the second validation cohort of 20 GC patients. Finally, patients with lower burden of CNA revealed increased immune signatures in our cohort and The Cancer Genome Atlas data sets as well. CONCLUSIONS: Our results suggest that the burden of CNA may have superior predictive value compared with other signatures, including PD-L1, MSI and TMB. The joint biomarker of CNA burden and TMB may better stratify DCB patients, thereby providing a rational choice for GI patients treated with ICBs. BMJ Publishing Group 2020-08-13 /pmc/articles/PMC7430454/ /pubmed/32792358 http://dx.doi.org/10.1136/jitc-2019-000374 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Immunotherapy Biomarkers Lu, Zhihao Chen, Huan Li, Shuang Gong, Jifang Li, Jian Zou, Jianling Wu, Lihong Yu, Jianing Han, Wenbo Sun, Huaibo Jiao, Xi Zhang, Xiaotian Peng, Zhi Lu, Ming Wang, Zhenghang Zhang, Henghui Shen, Lin Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer |
title | Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer |
title_full | Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer |
title_fullStr | Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer |
title_full_unstemmed | Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer |
title_short | Tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer |
title_sort | tumor copy-number alterations predict response to immune-checkpoint-blockade in gastrointestinal cancer |
topic | Immunotherapy Biomarkers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430454/ https://www.ncbi.nlm.nih.gov/pubmed/32792358 http://dx.doi.org/10.1136/jitc-2019-000374 |
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