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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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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. |
format | Online Article Text |
id | pubmed-9985510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yinmeilin eightagingrelatedgenesprognosticsignatureforcervicalcancer AT wengyanhua eightagingrelatedgenesprognosticsignatureforcervicalcancer |