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Eight Aging-Related Genes Prognostic Signature for Cervical Cancer

This study searched for aging-related genes (ARGs) to predict the prognosis of patients with cervical cancer (CC). All data were obtained from Molecular Signatures Database, Cancer Genome Atlas, Gene Expression Integration, and Genotype Organization Expression. The R software was used to screen out...

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Autores principales: Yin, Meilin, Weng, Yanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985510/
https://www.ncbi.nlm.nih.gov/pubmed/36880057
http://dx.doi.org/10.1155/2023/4971345
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author Yin, Meilin
Weng, Yanhua
author_facet Yin, Meilin
Weng, Yanhua
author_sort Yin, Meilin
collection PubMed
description This study searched for aging-related genes (ARGs) to predict the prognosis of patients with cervical cancer (CC). All data were obtained from Molecular Signatures Database, Cancer Genome Atlas, Gene Expression Integration, and Genotype Organization Expression. The R software was used to screen out the differentially expressed ARGs (DE-ARGs) between CC and normal tissues. A protein–protein interaction network was established by the DE-ARGs. The univariate and multivariate Cox regression analyses were conducted on the first extracted Molecular Complex Detection component, and a prognostic model was constructed. The prognostic model was further validated in the testing set and GSE44001 dataset. Prognosis was analyzed by Kaplan–Meier curves, and accuracy of the prognostic model was assessed by receiver operating characteristic area under the curve analysis. An independent prognostic analysis of risk score and some clinicopathological factors of CC was also performed. The copy-number variant (CNV) and single-nucleotide variant (SNV) of prognostic ARGs were analyzed by the BioPortal database. A clinical practical nomogram was established to predict individual survival probability. Finally, we carried out cell experiment to further verify the prognostic model. An eight-ARG prognostic signature for CC was constructed. High-risk CC patients had significantly shorter overall survival than low-risk patients. The receiver operating characteristic (ROC) curve validated the good performance of the signature in survival prediction. The Figo_stage and risk score served as independent prognostic factors. The eight ARGs mainly enriched in growth factor regulation and cell cycle pathway, and the deep deletion of FN1 was the most common CNV. An eight-ARG prognostic signature for CC was successfully constructed.
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spelling pubmed-99855102023-03-05 Eight Aging-Related Genes Prognostic Signature for Cervical Cancer Yin, Meilin Weng, Yanhua Int J Genomics Research Article This study searched for aging-related genes (ARGs) to predict the prognosis of patients with cervical cancer (CC). All data were obtained from Molecular Signatures Database, Cancer Genome Atlas, Gene Expression Integration, and Genotype Organization Expression. The R software was used to screen out the differentially expressed ARGs (DE-ARGs) between CC and normal tissues. A protein–protein interaction network was established by the DE-ARGs. The univariate and multivariate Cox regression analyses were conducted on the first extracted Molecular Complex Detection component, and a prognostic model was constructed. The prognostic model was further validated in the testing set and GSE44001 dataset. Prognosis was analyzed by Kaplan–Meier curves, and accuracy of the prognostic model was assessed by receiver operating characteristic area under the curve analysis. An independent prognostic analysis of risk score and some clinicopathological factors of CC was also performed. The copy-number variant (CNV) and single-nucleotide variant (SNV) of prognostic ARGs were analyzed by the BioPortal database. A clinical practical nomogram was established to predict individual survival probability. Finally, we carried out cell experiment to further verify the prognostic model. An eight-ARG prognostic signature for CC was constructed. High-risk CC patients had significantly shorter overall survival than low-risk patients. The receiver operating characteristic (ROC) curve validated the good performance of the signature in survival prediction. The Figo_stage and risk score served as independent prognostic factors. The eight ARGs mainly enriched in growth factor regulation and cell cycle pathway, and the deep deletion of FN1 was the most common CNV. An eight-ARG prognostic signature for CC was successfully constructed. Hindawi 2023-02-25 /pmc/articles/PMC9985510/ /pubmed/36880057 http://dx.doi.org/10.1155/2023/4971345 Text en Copyright © 2023 Meilin Yin and Yanhua Weng. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yin, Meilin
Weng, Yanhua
Eight Aging-Related Genes Prognostic Signature for Cervical Cancer
title Eight Aging-Related Genes Prognostic Signature for Cervical Cancer
title_full Eight Aging-Related Genes Prognostic Signature for Cervical Cancer
title_fullStr Eight Aging-Related Genes Prognostic Signature for Cervical Cancer
title_full_unstemmed Eight Aging-Related Genes Prognostic Signature for Cervical Cancer
title_short Eight Aging-Related Genes Prognostic Signature for Cervical Cancer
title_sort eight aging-related genes prognostic signature for cervical cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985510/
https://www.ncbi.nlm.nih.gov/pubmed/36880057
http://dx.doi.org/10.1155/2023/4971345
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