Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs
Abstract Objectives Bladder cancer (BLCA) is a tumor that affects men more than women. The biological function and prognostic value of androgen-responsive genes (ARGs) in BLCA are currently unknown. To address this, we established an androgen signature to determine the prognosis of BLCA. Methods Seq...
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BMC
2024-12-01
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| Online Access: | https://doi.org/10.1186/s13040-024-00377-x |
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| author | Jiang Zhao Qian Zhang Cunle Zhu Wu Yuqi Guohui Zhang Qianliang Wang Xingyou Dong Benyi Li Xiangwei Wang |
| author_facet | Jiang Zhao Qian Zhang Cunle Zhu Wu Yuqi Guohui Zhang Qianliang Wang Xingyou Dong Benyi Li Xiangwei Wang |
| author_sort | Jiang Zhao |
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| description | Abstract Objectives Bladder cancer (BLCA) is a tumor that affects men more than women. The biological function and prognostic value of androgen-responsive genes (ARGs) in BLCA are currently unknown. To address this, we established an androgen signature to determine the prognosis of BLCA. Methods Sequencing data for BLCA from the TCGA and GEO datasets were used for research. The tumor microenvironment (TME) was measured using Cibersort and ssGSEA. Prognosis-related genes were identified and a risk score model was constructed using univariate Cox regression, LASSO regression, and multivariate Cox regression. Drug sensitivity analysis was performed using Genomics of drug sensitivity in cancer (GDSC). Real-time quantitative PCR was performed to assess the expression of representative genes in clinical samples. Results ARGs (especially the CDK6, FADS1, PGM3, SCD, PTK2B, and TPD52) might regulate the progression of BLCA. The different expression patterns of ARGs may lead to different immune cell infiltration. The risk model indicates that patients with higher risk scores have a poorer prognosis, more stromal infiltration, and an enrichment of biological functions. Single-cell RNA analysis, bulk RNA data, and PCR analysis support the reliability of this risk model, and a nomogram was also established for clinical use. Drug prediction analysis showed that high-risk patients had a better response to fludarabine, AZD8186, and carmustine. Conclusion ARGs played an important role in the progression, immune infiltration, and prognosis of BLCA. The ARGs model has high accuracy in predicting the prognosis of BLCA patients and provides more effective medication guidelines. |
| format | Article |
| id | doaj-art-4e227a8639804d9eb7ff8dda5937e08a |
| institution | Kabale University |
| issn | 1756-0381 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BioData Mining |
| spelling | doaj-art-4e227a8639804d9eb7ff8dda5937e08a2024-12-22T12:19:05ZengBMCBioData Mining1756-03812024-12-0117111710.1186/s13040-024-00377-xPrognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugsJiang Zhao0Qian Zhang1Cunle Zhu2Wu Yuqi3Guohui Zhang4Qianliang Wang5Xingyou Dong6Benyi Li7Xiangwei Wang8Department of Urology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-Communicable Diseases, Affiliated Hospital of Guangdong Medical UniversityDepartment of Urology, General Hospital of Northern Theater CommandDepartment of Urology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-Communicable Diseases, Affiliated Hospital of Guangdong Medical UniversityDepartment of Urology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-Communicable Diseases, Affiliated Hospital of Guangdong Medical UniversityDepartment of Urology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-Communicable Diseases, Affiliated Hospital of Guangdong Medical UniversityDepartment of Urology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-Communicable Diseases, Affiliated Hospital of Guangdong Medical UniversityDepartment of Urology, South China Hospital Affiliated to Shenzhen UniversityDepartment of Urology, The University of Kansas Medical CenterDepartment of Urology, Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-Communicable Diseases, Affiliated Hospital of Guangdong Medical UniversityAbstract Objectives Bladder cancer (BLCA) is a tumor that affects men more than women. The biological function and prognostic value of androgen-responsive genes (ARGs) in BLCA are currently unknown. To address this, we established an androgen signature to determine the prognosis of BLCA. Methods Sequencing data for BLCA from the TCGA and GEO datasets were used for research. The tumor microenvironment (TME) was measured using Cibersort and ssGSEA. Prognosis-related genes were identified and a risk score model was constructed using univariate Cox regression, LASSO regression, and multivariate Cox regression. Drug sensitivity analysis was performed using Genomics of drug sensitivity in cancer (GDSC). Real-time quantitative PCR was performed to assess the expression of representative genes in clinical samples. Results ARGs (especially the CDK6, FADS1, PGM3, SCD, PTK2B, and TPD52) might regulate the progression of BLCA. The different expression patterns of ARGs may lead to different immune cell infiltration. The risk model indicates that patients with higher risk scores have a poorer prognosis, more stromal infiltration, and an enrichment of biological functions. Single-cell RNA analysis, bulk RNA data, and PCR analysis support the reliability of this risk model, and a nomogram was also established for clinical use. Drug prediction analysis showed that high-risk patients had a better response to fludarabine, AZD8186, and carmustine. Conclusion ARGs played an important role in the progression, immune infiltration, and prognosis of BLCA. The ARGs model has high accuracy in predicting the prognosis of BLCA patients and provides more effective medication guidelines.https://doi.org/10.1186/s13040-024-00377-xBladder cancerAndrogen-responsive genesMenPrognosisTumor microenvironmentDrug sensitivity |
| spellingShingle | Jiang Zhao Qian Zhang Cunle Zhu Wu Yuqi Guohui Zhang Qianliang Wang Xingyou Dong Benyi Li Xiangwei Wang Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs BioData Mining Bladder cancer Androgen-responsive genes Men Prognosis Tumor microenvironment Drug sensitivity |
| title | Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs |
| title_full | Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs |
| title_fullStr | Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs |
| title_full_unstemmed | Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs |
| title_short | Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs |
| title_sort | prognostic feature based on androgen responsive genes in bladder cancer and screening for potential targeted drugs |
| topic | Bladder cancer Androgen-responsive genes Men Prognosis Tumor microenvironment Drug sensitivity |
| url | https://doi.org/10.1186/s13040-024-00377-x |
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