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Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database

BACKGROUND: Growing evidence strongly indicates pivotal roles of gender differences in the occurrence and survival rate of patients with bladder cancer, with a higher incidence in males and poorer prognosis in females. Nevertheless, the molecular basis underlying gender-specific differences in bladd...

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Autores principales: Rasti, Azam, Abazari, Omid, Dayati, Parisa, Kardan, Zahra, Salari, Ali, Khalili, Masoud, Motlagh, Fatemeh Movahedi, Modarressi, Mohammad Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410418/
https://www.ncbi.nlm.nih.gov/pubmed/37564439
http://dx.doi.org/10.4103/abr.abr_280_22
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author Rasti, Azam
Abazari, Omid
Dayati, Parisa
Kardan, Zahra
Salari, Ali
Khalili, Masoud
Motlagh, Fatemeh Movahedi
Modarressi, Mohammad Hossein
author_facet Rasti, Azam
Abazari, Omid
Dayati, Parisa
Kardan, Zahra
Salari, Ali
Khalili, Masoud
Motlagh, Fatemeh Movahedi
Modarressi, Mohammad Hossein
author_sort Rasti, Azam
collection PubMed
description BACKGROUND: Growing evidence strongly indicates pivotal roles of gender differences in the occurrence and survival rate of patients with bladder cancer, with a higher incidence in males and poorer prognosis in females. Nevertheless, the molecular basis underlying gender-specific differences in bladder cancer remains unknown. The current study has tried to detect key genes contributing to gender differences in bladder cancer patients. MATERIALS AND METHODS: The gene expression profile of GSE13507 was firstly obtained from the Gene Expression Omnibus (GEO) database. Further, differentially expressed genes (DEGs) were screened between males and females using R software. Protein–protein interactive (PPI) network analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Kaplan–Meier survival analyses were also performed. RESULTS: We detected six hub genes contributing to gender differences in bladder cancer patients, containing IGF2, CCL5, ASPM, CDC20, BUB1B, and CCNB1. Our analyses demonstrated that CCNB1 and BUB1B were upregulated in tumor tissues of female subjects with bladder cancer. Other genes, such as IGF2 and CCL5, were associated with a poor outcome in male patients with bladder cancer. Additionally, three signaling pathways (focal adhesion, rheumatoid arthritis, and human T-cell leukemia virus infection) were identified to be differentially downregulated in bladder cancer versus normal samples in both genders. CONCLUSION: Our findings suggested that gender differences may modulate the expression of key genes that contributed to bladder cancer occurrence and prognosis.
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spelling pubmed-104104182023-08-10 Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database Rasti, Azam Abazari, Omid Dayati, Parisa Kardan, Zahra Salari, Ali Khalili, Masoud Motlagh, Fatemeh Movahedi Modarressi, Mohammad Hossein Adv Biomed Res Original Article BACKGROUND: Growing evidence strongly indicates pivotal roles of gender differences in the occurrence and survival rate of patients with bladder cancer, with a higher incidence in males and poorer prognosis in females. Nevertheless, the molecular basis underlying gender-specific differences in bladder cancer remains unknown. The current study has tried to detect key genes contributing to gender differences in bladder cancer patients. MATERIALS AND METHODS: The gene expression profile of GSE13507 was firstly obtained from the Gene Expression Omnibus (GEO) database. Further, differentially expressed genes (DEGs) were screened between males and females using R software. Protein–protein interactive (PPI) network analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Kaplan–Meier survival analyses were also performed. RESULTS: We detected six hub genes contributing to gender differences in bladder cancer patients, containing IGF2, CCL5, ASPM, CDC20, BUB1B, and CCNB1. Our analyses demonstrated that CCNB1 and BUB1B were upregulated in tumor tissues of female subjects with bladder cancer. Other genes, such as IGF2 and CCL5, were associated with a poor outcome in male patients with bladder cancer. Additionally, three signaling pathways (focal adhesion, rheumatoid arthritis, and human T-cell leukemia virus infection) were identified to be differentially downregulated in bladder cancer versus normal samples in both genders. CONCLUSION: Our findings suggested that gender differences may modulate the expression of key genes that contributed to bladder cancer occurrence and prognosis. Wolters Kluwer - Medknow 2023-06-28 /pmc/articles/PMC10410418/ /pubmed/37564439 http://dx.doi.org/10.4103/abr.abr_280_22 Text en Copyright: © 2023 Advanced Biomedical Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Rasti, Azam
Abazari, Omid
Dayati, Parisa
Kardan, Zahra
Salari, Ali
Khalili, Masoud
Motlagh, Fatemeh Movahedi
Modarressi, Mohammad Hossein
Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database
title Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database
title_full Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database
title_fullStr Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database
title_full_unstemmed Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database
title_short Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database
title_sort identification of potential key genes linked to gender differences in bladder cancer based on gene expression omnibus (geo) database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410418/
https://www.ncbi.nlm.nih.gov/pubmed/37564439
http://dx.doi.org/10.4103/abr.abr_280_22
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