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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2023-01-01
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| Series: | Advanced Biomedical Research |
| Subjects: | |
| Online Access: | http://www.advbiores.net/article.asp?issn=2277-9175;year=2023;volume=12;issue=1;spage=157;epage=157;aulast=Rasti |
| _version_ | 1827783502402158592 |
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| author | Azam Rasti Omid Abazari Parisa Dayati Zahra Kardan Ali Salari Masoud Khalili Fatemeh Movahedi Motlagh Mohammad Hossein Modarressi |
| author_facet | Azam Rasti Omid Abazari Parisa Dayati Zahra Kardan Ali Salari Masoud Khalili Fatemeh Movahedi Motlagh Mohammad Hossein Modarressi |
| author_sort | Azam Rasti |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T15:48:28Z |
| format | Article |
| id | doaj.art-e0496dd10db347cdae8cab96c3ca2ed1 |
| institution | Directory Open Access Journal |
| issn | 2277-9175 |
| language | English |
| last_indexed | 2024-03-11T15:48:28Z |
| publishDate | 2023-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Advanced Biomedical Research |
| spelling | doaj.art-e0496dd10db347cdae8cab96c3ca2ed12023-10-26T05:43:17ZengWolters Kluwer Medknow PublicationsAdvanced Biomedical Research2277-91752023-01-0112115715710.4103/abr.abr_280_22Identification of potential key genes linked to gender differences in bladder cancer based on gene expression omnibus (GEO) databaseAzam RastiOmid AbazariParisa DayatiZahra KardanAli SalariMasoud KhaliliFatemeh Movahedi MotlaghMohammad Hossein ModarressiBackground: 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.http://www.advbiores.net/article.asp?issn=2277-9175;year=2023;volume=12;issue=1;spage=157;epage=157;aulast=Rastibioinformaticsbladder cancersex differencesurvival analysis |
| spellingShingle | Azam Rasti Omid Abazari Parisa Dayati Zahra Kardan Ali Salari Masoud Khalili Fatemeh Movahedi Motlagh Mohammad Hossein Modarressi Identification of potential key genes linked to gender differences in bladder cancer based on gene expression omnibus (GEO) database Advanced Biomedical Research bioinformatics bladder cancer sex difference survival analysis |
| 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 | bioinformatics bladder cancer sex difference survival analysis |
| url | http://www.advbiores.net/article.asp?issn=2277-9175;year=2023;volume=12;issue=1;spage=157;epage=157;aulast=Rasti |
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