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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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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 |
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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 |
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