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Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration

INTRODUCTION: Cellular senescence is a cellular response to stress, including the activation of oncogenes, and is characterized by irreversible proliferation arrest. Restricted studies have provided a relationship between cellular senescence and immunotherapy for esophageal cancer. METHODS: In the p...

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Autores principales: Zheng, Shiyao, Lin, Nan, Wu, Qing, He, Hongxin, Yang, Chunkang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905418/
https://www.ncbi.nlm.nih.gov/pubmed/36761024
http://dx.doi.org/10.3389/fsurg.2023.1090700
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author Zheng, Shiyao
Lin, Nan
Wu, Qing
He, Hongxin
Yang, Chunkang
author_facet Zheng, Shiyao
Lin, Nan
Wu, Qing
He, Hongxin
Yang, Chunkang
author_sort Zheng, Shiyao
collection PubMed
description INTRODUCTION: Cellular senescence is a cellular response to stress, including the activation of oncogenes, and is characterized by irreversible proliferation arrest. Restricted studies have provided a relationship between cellular senescence and immunotherapy for esophageal cancer. METHODS: In the present study, we obtained clinical sample of colon cancer from the TCGA database and cellular senescence-related genes from MSigDB and Genecard datasets. Cellular senescence-related prognostic genes were identified by WGCNA, COX, and lasso regression analysis, and a cellular senescence-related risk score (CSRS) was calculated. We constructed a prognostic model based on CSRS. Validation was performed with an independent cohort that GSE53625. Three scoring systems for immuno-infiltration analysis were performed, namely ssGSEA analysis, ESTIMATE scores and TIDE scores. RESULT: Five cellular senescence-related genes, including H3C1, IGFBP1, MT1E, SOX5 and CDHR4 and used to calculate risk score. Multivariate regression analysis using cox regression model showed that cellular senescence-related risk scores (HR=2.440, 95% CI=1.154-5.159, p=0.019) and pathological stage (HR=2.423, 95% CI=1.119-5.249, p=0.025) were associated with overall survival (OS). The nomogram model predicts better clinical benefit than the American Joint Committee on Cancer (AJCC) staging for prognosis of patients with esophageal cancer with a five-year AUC of 0.946. Patients with high CSRS had a poor prognosis (HR=2.93, 95%CI=1.74-4.94, p<0.001). We observed differences in the distribution of CSRS in different pathological staging and therefore performed a subgroup survival analysis finding that assessment of prognosis by CSRS independent of pathological staging. Comprehensive immune infiltration analysis and functional enrichment analysis suggested that patients with high CSRS may develop immunotherapy resistance through mechanisms of deacetylation and methylation. DISCUSSION: In summary, our study suggested that CSRS is a prognostic risk factor for esophageal cancer. Patients with high CSRS may have worse immunotherapy outcomes.
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spelling pubmed-99054182023-02-08 Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration Zheng, Shiyao Lin, Nan Wu, Qing He, Hongxin Yang, Chunkang Front Surg Surgery INTRODUCTION: Cellular senescence is a cellular response to stress, including the activation of oncogenes, and is characterized by irreversible proliferation arrest. Restricted studies have provided a relationship between cellular senescence and immunotherapy for esophageal cancer. METHODS: In the present study, we obtained clinical sample of colon cancer from the TCGA database and cellular senescence-related genes from MSigDB and Genecard datasets. Cellular senescence-related prognostic genes were identified by WGCNA, COX, and lasso regression analysis, and a cellular senescence-related risk score (CSRS) was calculated. We constructed a prognostic model based on CSRS. Validation was performed with an independent cohort that GSE53625. Three scoring systems for immuno-infiltration analysis were performed, namely ssGSEA analysis, ESTIMATE scores and TIDE scores. RESULT: Five cellular senescence-related genes, including H3C1, IGFBP1, MT1E, SOX5 and CDHR4 and used to calculate risk score. Multivariate regression analysis using cox regression model showed that cellular senescence-related risk scores (HR=2.440, 95% CI=1.154-5.159, p=0.019) and pathological stage (HR=2.423, 95% CI=1.119-5.249, p=0.025) were associated with overall survival (OS). The nomogram model predicts better clinical benefit than the American Joint Committee on Cancer (AJCC) staging for prognosis of patients with esophageal cancer with a five-year AUC of 0.946. Patients with high CSRS had a poor prognosis (HR=2.93, 95%CI=1.74-4.94, p<0.001). We observed differences in the distribution of CSRS in different pathological staging and therefore performed a subgroup survival analysis finding that assessment of prognosis by CSRS independent of pathological staging. Comprehensive immune infiltration analysis and functional enrichment analysis suggested that patients with high CSRS may develop immunotherapy resistance through mechanisms of deacetylation and methylation. DISCUSSION: In summary, our study suggested that CSRS is a prognostic risk factor for esophageal cancer. Patients with high CSRS may have worse immunotherapy outcomes. Frontiers Media S.A. 2023-01-25 /pmc/articles/PMC9905418/ /pubmed/36761024 http://dx.doi.org/10.3389/fsurg.2023.1090700 Text en © 2023 Zheng, Lin, Wu, He and Yang. 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) (https://creativecommons.org/licenses/by/4.0/) . 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 Surgery
Zheng, Shiyao
Lin, Nan
Wu, Qing
He, Hongxin
Yang, Chunkang
Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration
title Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration
title_full Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration
title_fullStr Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration
title_full_unstemmed Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration
title_short Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration
title_sort prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905418/
https://www.ncbi.nlm.nih.gov/pubmed/36761024
http://dx.doi.org/10.3389/fsurg.2023.1090700
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