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Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment

BACKGROUND: Microsatellite instability (MSI) represents the first pan-cancer biomarker approved to guide immune checkpoint blockade (ICB) treatment. However its widespread testing, especially outside of gastrointestinal cancer, is hampered by tissue availability. METHODS: An algorithm for detecting...

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Autores principales: Wang, Zhenghang, Zhao, Xiaochen, Gao, Chan, Gong, Jifang, Wang, Xicheng, Gao, Jing, Li, Zhongwu, Wang, Jie, Yang, Bo, Wang, Lei, Zhang, Bei, Zhou, Yifan, Wang, Dalei, Li, Xiaofang, Bai, Yuezong, Li, Jian, Shen, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656957/
https://www.ncbi.nlm.nih.gov/pubmed/33172882
http://dx.doi.org/10.1136/jitc-2020-001297
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author Wang, Zhenghang
Zhao, Xiaochen
Gao, Chan
Gong, Jifang
Wang, Xicheng
Gao, Jing
Li, Zhongwu
Wang, Jie
Yang, Bo
Wang, Lei
Zhang, Bei
Zhou, Yifan
Wang, Dalei
Li, Xiaofang
Bai, Yuezong
Li, Jian
Shen, Lin
author_facet Wang, Zhenghang
Zhao, Xiaochen
Gao, Chan
Gong, Jifang
Wang, Xicheng
Gao, Jing
Li, Zhongwu
Wang, Jie
Yang, Bo
Wang, Lei
Zhang, Bei
Zhou, Yifan
Wang, Dalei
Li, Xiaofang
Bai, Yuezong
Li, Jian
Shen, Lin
author_sort Wang, Zhenghang
collection PubMed
description BACKGROUND: Microsatellite instability (MSI) represents the first pan-cancer biomarker approved to guide immune checkpoint blockade (ICB) treatment. However its widespread testing, especially outside of gastrointestinal cancer, is hampered by tissue availability. METHODS: An algorithm for detecting MSI from peripheral blood was established and validated using clinical plasma samples. Its value for predicting ICB efficacy was evaluated among 60 patients with advanced gastrointestinal cancer. The landscape of MSI in blood was also explored among 5138 advanced solid tumors. RESULTS: The algorithm included 100 microsatellite markers with high capture efficiency, sensitivity, and specificity. In comparison with orthogonal tissue PCR results, the method displayed a sensitivity of 82.5% (33/40) and a specificity of 96.2% (201/209), for an overall accuracy of 94.0% (234/249). When the clinical validation cohort was dichotomized by pretreatment blood MSI (bMSI), bMSI-high (bMSI-H) predicted both improved progression-free survival and overall survival than the blood microsatellite stable (bMSS) patients (HRs: 0.431 and 0.489, p=0.005 and 0.034, respectively). Four patients with bMSS were identified to have high blood tumor mutational burden (bTMB-H) and trended towards a better survival than the bMSS-bTMB-low (bTMB-L) subset (HR 0.026, 95% CI 0 to 2.635, p=0.011). These four patients with bMSS-bTMB-H plus the bMSI-H group collectively displayed significantly improved survival over the bMSS-bTMB-L patients (HR 0.317, 95% CI 0.157 to 0.640, p<0.001). Pan-cancer prevalence of bMSI-H was largely consistent with that shown for tissue except for much lower rates in endometrial and gastrointestinal cancers, and a remarkably higher prevalence in prostate cancer relative to other cancer types. CONCLUSIONS: We have developed a reliable and robust next generation sequencing-based bMSI detection strategy which, in combination with a panel enabling concurrent profiling of bTMB from a single blood draw, may better inform ICB treatment.
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spelling pubmed-76569572020-11-17 Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment Wang, Zhenghang Zhao, Xiaochen Gao, Chan Gong, Jifang Wang, Xicheng Gao, Jing Li, Zhongwu Wang, Jie Yang, Bo Wang, Lei Zhang, Bei Zhou, Yifan Wang, Dalei Li, Xiaofang Bai, Yuezong Li, Jian Shen, Lin J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Microsatellite instability (MSI) represents the first pan-cancer biomarker approved to guide immune checkpoint blockade (ICB) treatment. However its widespread testing, especially outside of gastrointestinal cancer, is hampered by tissue availability. METHODS: An algorithm for detecting MSI from peripheral blood was established and validated using clinical plasma samples. Its value for predicting ICB efficacy was evaluated among 60 patients with advanced gastrointestinal cancer. The landscape of MSI in blood was also explored among 5138 advanced solid tumors. RESULTS: The algorithm included 100 microsatellite markers with high capture efficiency, sensitivity, and specificity. In comparison with orthogonal tissue PCR results, the method displayed a sensitivity of 82.5% (33/40) and a specificity of 96.2% (201/209), for an overall accuracy of 94.0% (234/249). When the clinical validation cohort was dichotomized by pretreatment blood MSI (bMSI), bMSI-high (bMSI-H) predicted both improved progression-free survival and overall survival than the blood microsatellite stable (bMSS) patients (HRs: 0.431 and 0.489, p=0.005 and 0.034, respectively). Four patients with bMSS were identified to have high blood tumor mutational burden (bTMB-H) and trended towards a better survival than the bMSS-bTMB-low (bTMB-L) subset (HR 0.026, 95% CI 0 to 2.635, p=0.011). These four patients with bMSS-bTMB-H plus the bMSI-H group collectively displayed significantly improved survival over the bMSS-bTMB-L patients (HR 0.317, 95% CI 0.157 to 0.640, p<0.001). Pan-cancer prevalence of bMSI-H was largely consistent with that shown for tissue except for much lower rates in endometrial and gastrointestinal cancers, and a remarkably higher prevalence in prostate cancer relative to other cancer types. CONCLUSIONS: We have developed a reliable and robust next generation sequencing-based bMSI detection strategy which, in combination with a panel enabling concurrent profiling of bTMB from a single blood draw, may better inform ICB treatment. BMJ Publishing Group 2020-11-10 /pmc/articles/PMC7656957/ /pubmed/33172882 http://dx.doi.org/10.1136/jitc-2020-001297 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/ 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
Wang, Zhenghang
Zhao, Xiaochen
Gao, Chan
Gong, Jifang
Wang, Xicheng
Gao, Jing
Li, Zhongwu
Wang, Jie
Yang, Bo
Wang, Lei
Zhang, Bei
Zhou, Yifan
Wang, Dalei
Li, Xiaofang
Bai, Yuezong
Li, Jian
Shen, Lin
Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment
title Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment
title_full Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment
title_fullStr Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment
title_full_unstemmed Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment
title_short Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment
title_sort plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment
topic Immunotherapy Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656957/
https://www.ncbi.nlm.nih.gov/pubmed/33172882
http://dx.doi.org/10.1136/jitc-2020-001297
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