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A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer

Long noncoding RNAs have a major role in tumorigenesis, development, and metastasis in colorectal cancer (CRC), participate in the regulation of cell senescence and are related to the prognosis of CRC. Therefore, it is important to validate cell senescence-related lncRNAs that correlate with prognos...

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Autores principales: Xu, Chengfei, Li, Fanghan, Liu, Zilin, Yan, Chuanjing, Xiao, Jiangwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583265/
https://www.ncbi.nlm.nih.gov/pubmed/36275644
http://dx.doi.org/10.3389/fimmu.2022.1019764
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author Xu, Chengfei
Li, Fanghan
Liu, Zilin
Yan, Chuanjing
Xiao, Jiangwei
author_facet Xu, Chengfei
Li, Fanghan
Liu, Zilin
Yan, Chuanjing
Xiao, Jiangwei
author_sort Xu, Chengfei
collection PubMed
description Long noncoding RNAs have a major role in tumorigenesis, development, and metastasis in colorectal cancer (CRC), participate in the regulation of cell senescence and are related to the prognosis of CRC. Therefore, it is important to validate cell senescence-related lncRNAs that correlate with prognosis in CRC. METHODS: CRC expression profile data and clinical information were downloaded from TCGA. A gene list related to cellular senescence was obtained from Human Aging Genomic Resources. A coexpression network of cell senescence-related mRNA−lncRNA was explored with R. Six cell senescence-related lncRNA signatures were identified by univariate and multivariate analyses. The cell senescence-related risk model was generated by using six cell senescence-related lncRNAs, and the risk score was calculated. Furthermore, an internal validation set and GSE17537 were used to verify the risk model. The risk model demonstrated good stability and accuracy. Finally, we investigated the correlation between cell senescence-related risk scores and immune infiltration, immune function, immune checkpoints, and drug sensitivity. RESULT: We established a signature of six cell senescence-related lncRNAs. The cell senescence-related risk model revealed an exceptional ability to assess the prognosis of colorectal cancer and was correlated with clinical features. Additionally, we observed that risk models correlate with the tumor microenvironment and immune checkpoints, potentially predicting patient response to clinical immunotherapy. Finally, we validated the correlation between the cell senescence-related risk model and drug susceptibility. Our findings indicated that AICAR, cisplatin, nilotinib, and bexarotene exhibited lower IC50 values in the high-risk group. CONCLUSION: Our current study identified 6 cell senescence-associated lncRNA signatures that may be vital biomarkers to predict the prognostic features and immune and chemotherapy responses in CRC.
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spelling pubmed-95832652022-10-21 A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer Xu, Chengfei Li, Fanghan Liu, Zilin Yan, Chuanjing Xiao, Jiangwei Front Immunol Immunology Long noncoding RNAs have a major role in tumorigenesis, development, and metastasis in colorectal cancer (CRC), participate in the regulation of cell senescence and are related to the prognosis of CRC. Therefore, it is important to validate cell senescence-related lncRNAs that correlate with prognosis in CRC. METHODS: CRC expression profile data and clinical information were downloaded from TCGA. A gene list related to cellular senescence was obtained from Human Aging Genomic Resources. A coexpression network of cell senescence-related mRNA−lncRNA was explored with R. Six cell senescence-related lncRNA signatures were identified by univariate and multivariate analyses. The cell senescence-related risk model was generated by using six cell senescence-related lncRNAs, and the risk score was calculated. Furthermore, an internal validation set and GSE17537 were used to verify the risk model. The risk model demonstrated good stability and accuracy. Finally, we investigated the correlation between cell senescence-related risk scores and immune infiltration, immune function, immune checkpoints, and drug sensitivity. RESULT: We established a signature of six cell senescence-related lncRNAs. The cell senescence-related risk model revealed an exceptional ability to assess the prognosis of colorectal cancer and was correlated with clinical features. Additionally, we observed that risk models correlate with the tumor microenvironment and immune checkpoints, potentially predicting patient response to clinical immunotherapy. Finally, we validated the correlation between the cell senescence-related risk model and drug susceptibility. Our findings indicated that AICAR, cisplatin, nilotinib, and bexarotene exhibited lower IC50 values in the high-risk group. CONCLUSION: Our current study identified 6 cell senescence-associated lncRNA signatures that may be vital biomarkers to predict the prognostic features and immune and chemotherapy responses in CRC. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9583265/ /pubmed/36275644 http://dx.doi.org/10.3389/fimmu.2022.1019764 Text en Copyright © 2022 Xu, Li, Liu, Yan and Xiao 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 Immunology
Xu, Chengfei
Li, Fanghan
Liu, Zilin
Yan, Chuanjing
Xiao, Jiangwei
A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer
title A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer
title_full A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer
title_fullStr A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer
title_full_unstemmed A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer
title_short A novel cell senescence-related IncRNA survival model associated with the tumor immune environment in colorectal cancer
title_sort novel cell senescence-related incrna survival model associated with the tumor immune environment in colorectal cancer
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583265/
https://www.ncbi.nlm.nih.gov/pubmed/36275644
http://dx.doi.org/10.3389/fimmu.2022.1019764
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