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Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature

Long non-coding RNAs (lncRNAs) remodel the tumor immune microenvironment (TIME) by regulating the functions of tumor-infiltrating immune cells. It remains uncertain the way that TIME-related lncRNAs (TRLs) influence the prognosis and immunotherapy response of colorectal cancer (CRC). Aiming at provi...

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Autores principales: Hu, Chuling, Cai, Du, Zhong, Min-Er, Fan, Dejun, Li, Cheng-Hang, Lv, Min-Yi, Huang, Ze-Ping, Wang, Wei, Wu, Xiao-Jian, Gao, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489948/
https://www.ncbi.nlm.nih.gov/pubmed/36159987
http://dx.doi.org/10.3389/fgene.2022.993714
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author Hu, Chuling
Cai, Du
Zhong, Min-Er
Fan, Dejun
Li, Cheng-Hang
Lv, Min-Yi
Huang, Ze-Ping
Wang, Wei
Wu, Xiao-Jian
Gao, Feng
author_facet Hu, Chuling
Cai, Du
Zhong, Min-Er
Fan, Dejun
Li, Cheng-Hang
Lv, Min-Yi
Huang, Ze-Ping
Wang, Wei
Wu, Xiao-Jian
Gao, Feng
author_sort Hu, Chuling
collection PubMed
description Long non-coding RNAs (lncRNAs) remodel the tumor immune microenvironment (TIME) by regulating the functions of tumor-infiltrating immune cells. It remains uncertain the way that TIME-related lncRNAs (TRLs) influence the prognosis and immunotherapy response of colorectal cancer (CRC). Aiming at providing survival and immunotherapy response predictions, a CRC TIME-related lncRNA signature (TRLs signature) was developed and the related potential regulatory mechanisms were explored with a comprehensive analysis on gene expression profiles from 97 immune cell lines, 61 CRC cell lines and 1807 CRC patients. Stratifying CRC patients with the TRLs signature, prolonged survival was observed in the low-risk group, while the patients in the high-risk group had significantly higher pro-tumor immune cells infiltration and higher immunotherapy response rate. Through the complex TRLs-mRNA regulation network, immunoregulation pathways and immunotherapy response pathways were found to be differently activated between the groups. In conclusion, the CRC TRLs signature is capable of making prognosis and immunotherapy response predictions, which may find application in stratifying patients for immunotherapy in the bedside.
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spelling pubmed-94899482022-09-22 Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature Hu, Chuling Cai, Du Zhong, Min-Er Fan, Dejun Li, Cheng-Hang Lv, Min-Yi Huang, Ze-Ping Wang, Wei Wu, Xiao-Jian Gao, Feng Front Genet Genetics Long non-coding RNAs (lncRNAs) remodel the tumor immune microenvironment (TIME) by regulating the functions of tumor-infiltrating immune cells. It remains uncertain the way that TIME-related lncRNAs (TRLs) influence the prognosis and immunotherapy response of colorectal cancer (CRC). Aiming at providing survival and immunotherapy response predictions, a CRC TIME-related lncRNA signature (TRLs signature) was developed and the related potential regulatory mechanisms were explored with a comprehensive analysis on gene expression profiles from 97 immune cell lines, 61 CRC cell lines and 1807 CRC patients. Stratifying CRC patients with the TRLs signature, prolonged survival was observed in the low-risk group, while the patients in the high-risk group had significantly higher pro-tumor immune cells infiltration and higher immunotherapy response rate. Through the complex TRLs-mRNA regulation network, immunoregulation pathways and immunotherapy response pathways were found to be differently activated between the groups. In conclusion, the CRC TRLs signature is capable of making prognosis and immunotherapy response predictions, which may find application in stratifying patients for immunotherapy in the bedside. Frontiers Media S.A. 2022-09-07 /pmc/articles/PMC9489948/ /pubmed/36159987 http://dx.doi.org/10.3389/fgene.2022.993714 Text en Copyright © 2022 Hu, Cai, Zhong, Fan, Li, Lv, Huang, Wang, Wu and Gao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Hu, Chuling
Cai, Du
Zhong, Min-Er
Fan, Dejun
Li, Cheng-Hang
Lv, Min-Yi
Huang, Ze-Ping
Wang, Wei
Wu, Xiao-Jian
Gao, Feng
Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
title Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
title_full Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
title_fullStr Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
title_full_unstemmed Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
title_short Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
title_sort predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncrna signature
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489948/
https://www.ncbi.nlm.nih.gov/pubmed/36159987
http://dx.doi.org/10.3389/fgene.2022.993714
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