Cargando…

Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients

OBJECTIVE: The role of tumor-infiltrating lymphocytes (TILs) has not yet been characterized in sarcomas. The aim of this bioinformatics study was to explore the effect of TILs on sarcoma survival and genome alterations. METHODS: Whole-exome sequencing, transcriptome sequencing, and survival data of...

Descripción completa

Detalles Bibliográficos
Autores principales: Bi, Qing, Liu, Yang, Yuan, Tao, Wang, Huizhen, Li, Bin, Jiang, Ye, Mo, Xingkui, Lei, Yonghong, Xiao, Yanbin, Dong, Suwei, Shen, Hongmei, Lv, Li, Yang, Yihao, Dong, Hua, Wang, Jing, Li, Fugen, Zhang, Dadong, Ai, Yiqin, Lin, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809305/
https://www.ncbi.nlm.nih.gov/pubmed/33430667
http://dx.doi.org/10.1177/0300060520981539
_version_ 1783637094309036032
author Bi, Qing
Liu, Yang
Yuan, Tao
Wang, Huizhen
Li, Bin
Jiang, Ye
Mo, Xingkui
Lei, Yonghong
Xiao, Yanbin
Dong, Suwei
Shen, Hongmei
Lv, Li
Yang, Yihao
Dong, Hua
Wang, Jing
Li, Fugen
Zhang, Dadong
Ai, Yiqin
Lin, Jie
author_facet Bi, Qing
Liu, Yang
Yuan, Tao
Wang, Huizhen
Li, Bin
Jiang, Ye
Mo, Xingkui
Lei, Yonghong
Xiao, Yanbin
Dong, Suwei
Shen, Hongmei
Lv, Li
Yang, Yihao
Dong, Hua
Wang, Jing
Li, Fugen
Zhang, Dadong
Ai, Yiqin
Lin, Jie
author_sort Bi, Qing
collection PubMed
description OBJECTIVE: The role of tumor-infiltrating lymphocytes (TILs) has not yet been characterized in sarcomas. The aim of this bioinformatics study was to explore the effect of TILs on sarcoma survival and genome alterations. METHODS: Whole-exome sequencing, transcriptome sequencing, and survival data of sarcoma were obtained from The Cancer Genome Atlas. Immune infiltration scores were calculated using the Tumor Immune Estimation Resource. Potential associations between abundance of infiltrating TILs and survival or genome alterations were examined. RESULTS: Levels of CD4(+) T cell infiltration were associated with overall survival of patients with pan-sarcomas, and higher CD4(+) T cell infiltration levels were associated with better survival. Somatic copy number alterations, rather than mutations, were found to correlate with CD4(+) T cell infiltration levels. CONCLUSIONS: This data mining study indicated that CD4(+) T cell infiltration levels predicted from RNA sequencing could predict sarcoma prognosis, and higher levels of CD4(+) T cells infiltration indicated a better chance of survival.
format Online
Article
Text
id pubmed-7809305
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-78093052021-01-22 Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients Bi, Qing Liu, Yang Yuan, Tao Wang, Huizhen Li, Bin Jiang, Ye Mo, Xingkui Lei, Yonghong Xiao, Yanbin Dong, Suwei Shen, Hongmei Lv, Li Yang, Yihao Dong, Hua Wang, Jing Li, Fugen Zhang, Dadong Ai, Yiqin Lin, Jie J Int Med Res Pre-Clinical Research Report OBJECTIVE: The role of tumor-infiltrating lymphocytes (TILs) has not yet been characterized in sarcomas. The aim of this bioinformatics study was to explore the effect of TILs on sarcoma survival and genome alterations. METHODS: Whole-exome sequencing, transcriptome sequencing, and survival data of sarcoma were obtained from The Cancer Genome Atlas. Immune infiltration scores were calculated using the Tumor Immune Estimation Resource. Potential associations between abundance of infiltrating TILs and survival or genome alterations were examined. RESULTS: Levels of CD4(+) T cell infiltration were associated with overall survival of patients with pan-sarcomas, and higher CD4(+) T cell infiltration levels were associated with better survival. Somatic copy number alterations, rather than mutations, were found to correlate with CD4(+) T cell infiltration levels. CONCLUSIONS: This data mining study indicated that CD4(+) T cell infiltration levels predicted from RNA sequencing could predict sarcoma prognosis, and higher levels of CD4(+) T cells infiltration indicated a better chance of survival. SAGE Publications 2021-01-11 /pmc/articles/PMC7809305/ /pubmed/33430667 http://dx.doi.org/10.1177/0300060520981539 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Pre-Clinical Research Report
Bi, Qing
Liu, Yang
Yuan, Tao
Wang, Huizhen
Li, Bin
Jiang, Ye
Mo, Xingkui
Lei, Yonghong
Xiao, Yanbin
Dong, Suwei
Shen, Hongmei
Lv, Li
Yang, Yihao
Dong, Hua
Wang, Jing
Li, Fugen
Zhang, Dadong
Ai, Yiqin
Lin, Jie
Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients
title Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients
title_full Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients
title_fullStr Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients
title_full_unstemmed Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients
title_short Predicted CD4(+) T cell infiltration levels could indicate better overall survival in sarcoma patients
title_sort predicted cd4(+) t cell infiltration levels could indicate better overall survival in sarcoma patients
topic Pre-Clinical Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809305/
https://www.ncbi.nlm.nih.gov/pubmed/33430667
http://dx.doi.org/10.1177/0300060520981539
work_keys_str_mv AT biqing predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT liuyang predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT yuantao predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT wanghuizhen predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT libin predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT jiangye predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT moxingkui predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT leiyonghong predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT xiaoyanbin predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT dongsuwei predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT shenhongmei predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT lvli predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT yangyihao predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT donghua predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT wangjing predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT lifugen predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT zhangdadong predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT aiyiqin predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients
AT linjie predictedcd4tcellinfiltrationlevelscouldindicatebetteroverallsurvivalinsarcomapatients