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EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma
BACKGROUND: Ephrin type-A receptors (EPHA) are members of family of receptor tyrosine kinases and are related to tumor immunogenicity and immune microenvironment, however, the association between EPHA mutation (EPHA(mut)) and efficacy of immune checkpoint inhibitors (ICIs) has not been investigated...
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/PMC7733211/ https://www.ncbi.nlm.nih.gov/pubmed/33303576 http://dx.doi.org/10.1136/jitc-2020-001315 |
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author | Bai, Hua Duan, Jianchun Li, Chengcheng Xie, Wenzhuan Fang, Wenfeng Xu, Yu Wang, Guoqiang Wan, Rui Sun, Jing Xu, Jiachen Wang, Xin Fei, Kailun Zhao, Zhengyi Cai, Shangli Zhang, Li Wang, Jie Wang, Zhijie |
author_facet | Bai, Hua Duan, Jianchun Li, Chengcheng Xie, Wenzhuan Fang, Wenfeng Xu, Yu Wang, Guoqiang Wan, Rui Sun, Jing Xu, Jiachen Wang, Xin Fei, Kailun Zhao, Zhengyi Cai, Shangli Zhang, Li Wang, Jie Wang, Zhijie |
author_sort | Bai, Hua |
collection | PubMed |
description | BACKGROUND: Ephrin type-A receptors (EPHA) are members of family of receptor tyrosine kinases and are related to tumor immunogenicity and immune microenvironment, however, the association between EPHA mutation (EPHA(mut)) and efficacy of immune checkpoint inhibitors (ICIs) has not been investigated in non-small cell lung cancer (NSCLC). METHODS: Multiple cohorts were used to assess the immunotherapeutic predictive performance of EPHA(mut), including one discovery cohort (n=79) and two public validation cohort (cohort 1: NSCLC, n=165; cohort 2: pan-cancer, n=1662). The Cancer Genome Atlas cohort was used for prognostic analysis and mechanism exploration. RESULTS: In the discovery cohort, patients with EPHA(mut) had superior disease control rate (72.2% vs 36.1%, p=0.01) and progression-free survival (PFS) (HR 0.38; 95% CI 0.21 to 0.68; p<0.001) compared with those with wide-type EPHA (EPHA(wt)) in NSCLC. The association between EPHA(mut) and immunotherapy outcomes in NSCLC was consistently observed in the validation cohorts by multivariable models (cohort 1, PFS HR 0.59; 95% CI 0.37 to 0.96; p=0.03; cohort 2, overall survival (OS) HR 0.63; 95% CI 0.41 to 0.98; p=0.04). Further pooled estimates of the discovery and validation cohorts showed that patients with EPHA(mut) exhibited a significantly longer PFS and OS in lung adenocarcinoma (LUAD) while not squamous cell lung cancer (LUSC). Consistently, mechanism analysis revealed that patients with EPHA(mut) was associated with increased T cell signatures and downregulated transforming growth factor-β signaling compared with patients with EPHA(wt) in LUAD while not LUSC. CONCLUSIONS: Our results demonstrated that EPHA(mut) is an independent classifier that could stratify patients with LUAD for ICIs therapy. Further prospective studies are warranted. TRIAL REGISTRATION NUMBER: NCC2016JZ-03, NCC2018-092. |
format | Online Article Text |
id | pubmed-7733211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-77332112020-12-21 EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma Bai, Hua Duan, Jianchun Li, Chengcheng Xie, Wenzhuan Fang, Wenfeng Xu, Yu Wang, Guoqiang Wan, Rui Sun, Jing Xu, Jiachen Wang, Xin Fei, Kailun Zhao, Zhengyi Cai, Shangli Zhang, Li Wang, Jie Wang, Zhijie J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Ephrin type-A receptors (EPHA) are members of family of receptor tyrosine kinases and are related to tumor immunogenicity and immune microenvironment, however, the association between EPHA mutation (EPHA(mut)) and efficacy of immune checkpoint inhibitors (ICIs) has not been investigated in non-small cell lung cancer (NSCLC). METHODS: Multiple cohorts were used to assess the immunotherapeutic predictive performance of EPHA(mut), including one discovery cohort (n=79) and two public validation cohort (cohort 1: NSCLC, n=165; cohort 2: pan-cancer, n=1662). The Cancer Genome Atlas cohort was used for prognostic analysis and mechanism exploration. RESULTS: In the discovery cohort, patients with EPHA(mut) had superior disease control rate (72.2% vs 36.1%, p=0.01) and progression-free survival (PFS) (HR 0.38; 95% CI 0.21 to 0.68; p<0.001) compared with those with wide-type EPHA (EPHA(wt)) in NSCLC. The association between EPHA(mut) and immunotherapy outcomes in NSCLC was consistently observed in the validation cohorts by multivariable models (cohort 1, PFS HR 0.59; 95% CI 0.37 to 0.96; p=0.03; cohort 2, overall survival (OS) HR 0.63; 95% CI 0.41 to 0.98; p=0.04). Further pooled estimates of the discovery and validation cohorts showed that patients with EPHA(mut) exhibited a significantly longer PFS and OS in lung adenocarcinoma (LUAD) while not squamous cell lung cancer (LUSC). Consistently, mechanism analysis revealed that patients with EPHA(mut) was associated with increased T cell signatures and downregulated transforming growth factor-β signaling compared with patients with EPHA(wt) in LUAD while not LUSC. CONCLUSIONS: Our results demonstrated that EPHA(mut) is an independent classifier that could stratify patients with LUAD for ICIs therapy. Further prospective studies are warranted. TRIAL REGISTRATION NUMBER: NCC2016JZ-03, NCC2018-092. BMJ Publishing Group 2020-12-10 /pmc/articles/PMC7733211/ /pubmed/33303576 http://dx.doi.org/10.1136/jitc-2020-001315 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 Bai, Hua Duan, Jianchun Li, Chengcheng Xie, Wenzhuan Fang, Wenfeng Xu, Yu Wang, Guoqiang Wan, Rui Sun, Jing Xu, Jiachen Wang, Xin Fei, Kailun Zhao, Zhengyi Cai, Shangli Zhang, Li Wang, Jie Wang, Zhijie EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma |
title | EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma |
title_full | EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma |
title_fullStr | EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma |
title_full_unstemmed | EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma |
title_short | EPHA mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma |
title_sort | epha mutation as a predictor of immunotherapeutic efficacy in lung adenocarcinoma |
topic | Immunotherapy Biomarkers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733211/ https://www.ncbi.nlm.nih.gov/pubmed/33303576 http://dx.doi.org/10.1136/jitc-2020-001315 |
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