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Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment

Background: Senescence, as an effective barrier against tumorigenesis, plays a critical role in cancer therapy. However, the role of senescence in colorectal cancer (CRC) has not yet been reported. This study aimed to build a prognostic signature for the prognosis of patients with CRC based on senes...

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Autores principales: Dong, Kechen, Liu, Jianping, Zhou, Wei, Zhang, Guanglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240351/
https://www.ncbi.nlm.nih.gov/pubmed/35783270
http://dx.doi.org/10.3389/fgene.2022.930248
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author Dong, Kechen
Liu, Jianping
Zhou, Wei
Zhang, Guanglin
author_facet Dong, Kechen
Liu, Jianping
Zhou, Wei
Zhang, Guanglin
author_sort Dong, Kechen
collection PubMed
description Background: Senescence, as an effective barrier against tumorigenesis, plays a critical role in cancer therapy. However, the role of senescence in colorectal cancer (CRC) has not yet been reported. This study aimed to build a prognostic signature for the prognosis of patients with CRC based on senescence-related genes. Methods: A prognostic signature was built from TCGA based on differentially expressed senescence-related genes by the least absolute shrinkage and selection operator (LASSO) and Cox regression analyses, which were further validated using two Gene Expression Omnibus (GEO) cohorts. The CIBERSORT and ssGSEA algorithms were utilized to analyze the infiltrating abundance of immune cells. The relationship of signature with the immune therapy and the sensitivity of different therapies was explored. Results: We found 93 genes associated with senescence that were differentially expressed. Based on expression and clinical parameters, we developed a senescence-related prognostic signature and its effectiveness was verified using two external validation cohorts. Overall survival was predicted using a prognostic nomogram that incorporated the predictive values of the risk score and clinical traits. Additionally, the risk score was significantly correlated with immune cells infiltration, tumor immune microenvironment (TME) score, immune checkpoints, immunotherapeutic efficacy, and chemotherapy sensitivity. Conclusion: The senescence-related prognostic model can well predict the prognosis, immunotherapeutic response, and identify potential drug targets, which can help guide individualized treatment.
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spelling pubmed-92403512022-06-30 Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment Dong, Kechen Liu, Jianping Zhou, Wei Zhang, Guanglin Front Genet Genetics Background: Senescence, as an effective barrier against tumorigenesis, plays a critical role in cancer therapy. However, the role of senescence in colorectal cancer (CRC) has not yet been reported. This study aimed to build a prognostic signature for the prognosis of patients with CRC based on senescence-related genes. Methods: A prognostic signature was built from TCGA based on differentially expressed senescence-related genes by the least absolute shrinkage and selection operator (LASSO) and Cox regression analyses, which were further validated using two Gene Expression Omnibus (GEO) cohorts. The CIBERSORT and ssGSEA algorithms were utilized to analyze the infiltrating abundance of immune cells. The relationship of signature with the immune therapy and the sensitivity of different therapies was explored. Results: We found 93 genes associated with senescence that were differentially expressed. Based on expression and clinical parameters, we developed a senescence-related prognostic signature and its effectiveness was verified using two external validation cohorts. Overall survival was predicted using a prognostic nomogram that incorporated the predictive values of the risk score and clinical traits. Additionally, the risk score was significantly correlated with immune cells infiltration, tumor immune microenvironment (TME) score, immune checkpoints, immunotherapeutic efficacy, and chemotherapy sensitivity. Conclusion: The senescence-related prognostic model can well predict the prognosis, immunotherapeutic response, and identify potential drug targets, which can help guide individualized treatment. Frontiers Media S.A. 2022-06-15 /pmc/articles/PMC9240351/ /pubmed/35783270 http://dx.doi.org/10.3389/fgene.2022.930248 Text en Copyright © 2022 Dong, Liu, Zhou and Zhang. 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
Dong, Kechen
Liu, Jianping
Zhou, Wei
Zhang, Guanglin
Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment
title Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment
title_full Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment
title_fullStr Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment
title_full_unstemmed Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment
title_short Exploring the Relationship Between Senescence and Colorectal Cancer in Prognosis, Immunity, and Treatment
title_sort exploring the relationship between senescence and colorectal cancer in prognosis, immunity, and treatment
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240351/
https://www.ncbi.nlm.nih.gov/pubmed/35783270
http://dx.doi.org/10.3389/fgene.2022.930248
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