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Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients

BACKGROUND: Increasing evidence has elucidated the clinical significance of tumor infiltrating immune cells in predicting outcomes and therapeutic efficacy. In this study, we comprehensively analyze the tumor microenvironment (TME) immune cell infiltrations in clear cell renal cell carcinoma (ccRCC)...

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Autores principales: Xiong, Ying, Wang, Zewei, Zhou, Quan, Zeng, Han, Zhang, Hongyu, Liu, Zhaopei, Huang, Qiuren, Wang, Jiajun, Chang, Yuan, Xia, Yu, Wang, Yiwei, Liu, Li, Zhu, Yu, Xu, Le, Dai, Bo, Bai, Qi, Guo, Jianming, Xu, Jiejie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174073/
https://www.ncbi.nlm.nih.gov/pubmed/32217761
http://dx.doi.org/10.1136/jitc-2019-000447
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author Xiong, Ying
Wang, Zewei
Zhou, Quan
Zeng, Han
Zhang, Hongyu
Liu, Zhaopei
Huang, Qiuren
Wang, Jiajun
Chang, Yuan
Xia, Yu
Wang, Yiwei
Liu, Li
Zhu, Yu
Xu, Le
Dai, Bo
Bai, Qi
Guo, Jianming
Xu, Jiejie
author_facet Xiong, Ying
Wang, Zewei
Zhou, Quan
Zeng, Han
Zhang, Hongyu
Liu, Zhaopei
Huang, Qiuren
Wang, Jiajun
Chang, Yuan
Xia, Yu
Wang, Yiwei
Liu, Li
Zhu, Yu
Xu, Le
Dai, Bo
Bai, Qi
Guo, Jianming
Xu, Jiejie
author_sort Xiong, Ying
collection PubMed
description BACKGROUND: Increasing evidence has elucidated the clinical significance of tumor infiltrating immune cells in predicting outcomes and therapeutic efficacy. In this study, we comprehensively analyze the tumor microenvironment (TME) immune cell infiltrations in clear cell renal cell carcinoma (ccRCC) and correlated the infiltration patterns with anti-tumor immunity and clinical outcomes. METHODS: We analyzed immune cell infiltrations in four independent cohorts, including the KIRC cohort of 533 patients, the Zhongshan ccRCC cohorts of 259 patients, the Zhongshan fresh tumor sample cohorts of 20 patients and the Zhongshan metastatic ccRCC cohorts of 87 patients. Intrinsic patterns of immune cell infiltrations were evaluated for associations with clinicopathological characteristics, underlying biological pathways, genetic changes, oncological outcomes and treatment responses. RESULTS: Unsupervised clustering of tumor infiltrating immune cells identified two microenvironment subtypes, TMEcluster-A and TMEcluster-B. Gene markers and biological pathways referring to immune evasion were upregulated in TMEcluster-B. TMEcluster-B associated with poor overall survival (p<0.001; HR 2.629) and recurrence free survival (p=0.012; HR 1.870) in ccRCC validation cohort. TMEcluster-B cases had worse treatment response (p=0.009), overall survival (p<0.001; HR 2.223) and progression free survival (p=0.015; HR 2.7762) in metastatic ccRCC cohort. The predictive accuracy of International Metastatic Database Consortium risk score was improved after incorporation of TME clusters. CONCLUSIONS: TMEcluster-A featured increased mast cells infiltration, prolonged survival and better treatment response. TMEcluster-B was a heavily infiltrated but immunosuppressed phenotype enriched for macrophages, CD4(+) T cells, Tregs, CD8(+) T cells and B cells. TMEcluster-B predicted dismal survival and worse treatment response in clear cell renal cell carcinoma patients.
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spelling pubmed-71740732020-04-27 Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients Xiong, Ying Wang, Zewei Zhou, Quan Zeng, Han Zhang, Hongyu Liu, Zhaopei Huang, Qiuren Wang, Jiajun Chang, Yuan Xia, Yu Wang, Yiwei Liu, Li Zhu, Yu Xu, Le Dai, Bo Bai, Qi Guo, Jianming Xu, Jiejie J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Increasing evidence has elucidated the clinical significance of tumor infiltrating immune cells in predicting outcomes and therapeutic efficacy. In this study, we comprehensively analyze the tumor microenvironment (TME) immune cell infiltrations in clear cell renal cell carcinoma (ccRCC) and correlated the infiltration patterns with anti-tumor immunity and clinical outcomes. METHODS: We analyzed immune cell infiltrations in four independent cohorts, including the KIRC cohort of 533 patients, the Zhongshan ccRCC cohorts of 259 patients, the Zhongshan fresh tumor sample cohorts of 20 patients and the Zhongshan metastatic ccRCC cohorts of 87 patients. Intrinsic patterns of immune cell infiltrations were evaluated for associations with clinicopathological characteristics, underlying biological pathways, genetic changes, oncological outcomes and treatment responses. RESULTS: Unsupervised clustering of tumor infiltrating immune cells identified two microenvironment subtypes, TMEcluster-A and TMEcluster-B. Gene markers and biological pathways referring to immune evasion were upregulated in TMEcluster-B. TMEcluster-B associated with poor overall survival (p<0.001; HR 2.629) and recurrence free survival (p=0.012; HR 1.870) in ccRCC validation cohort. TMEcluster-B cases had worse treatment response (p=0.009), overall survival (p<0.001; HR 2.223) and progression free survival (p=0.015; HR 2.7762) in metastatic ccRCC cohort. The predictive accuracy of International Metastatic Database Consortium risk score was improved after incorporation of TME clusters. CONCLUSIONS: TMEcluster-A featured increased mast cells infiltration, prolonged survival and better treatment response. TMEcluster-B was a heavily infiltrated but immunosuppressed phenotype enriched for macrophages, CD4(+) T cells, Tregs, CD8(+) T cells and B cells. TMEcluster-B predicted dismal survival and worse treatment response in clear cell renal cell carcinoma patients. BMJ Publishing Group 2020-03-26 /pmc/articles/PMC7174073/ /pubmed/32217761 http://dx.doi.org/10.1136/jitc-2019-000447 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
Xiong, Ying
Wang, Zewei
Zhou, Quan
Zeng, Han
Zhang, Hongyu
Liu, Zhaopei
Huang, Qiuren
Wang, Jiajun
Chang, Yuan
Xia, Yu
Wang, Yiwei
Liu, Li
Zhu, Yu
Xu, Le
Dai, Bo
Bai, Qi
Guo, Jianming
Xu, Jiejie
Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients
title Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients
title_full Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients
title_fullStr Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients
title_full_unstemmed Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients
title_short Identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients
title_sort identification and validation of dichotomous immune subtypes based on intratumoral immune cells infiltration in clear cell renal cell carcinoma patients
topic Immunotherapy Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174073/
https://www.ncbi.nlm.nih.gov/pubmed/32217761
http://dx.doi.org/10.1136/jitc-2019-000447
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