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Integrated analysis identifies GABRB3 as a biomarker in prostate cancer.
- Source :
-
BMC Medical Genomics . 1/29/2024, Vol. 17 Issue 1, p1-10. 10p. - Publication Year :
- 2024
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Abstract
- Background: Treatment failure following androgen deprivation therapy (ADT) presents a significant challenge in the management of advanced prostate cancer. Thus, understanding the genetic factors influencing this process could facilitate the development of personalized treatments and innovative therapeutic strategies. The phosphoinositide 3-kinase (PI3K)/AKT signaling pathway plays a pivotal role in controlling cell growth and tumorigenesis. We hypothesized that genetic variants within this pathway may affect the clinical outcomes of patients undergoing ADT for prostate cancer. Methods: We genotyped 399 single-nucleotide polymorphisms (SNPs) across 28 core PI3K/AKT pathway genes in a cohort of 630 patients with prostate cancer undergoing ADT. We assessed the potential association of the SNPs with patient survival. Functional analyses of the implicated genes were also performed to evaluate their effects on prostate cancer. Results: After multivariate Cox regression analysis and multiple testing correction, GABRB3 rs12591845 exhibited the most significant association with both overall and cancer-specific survivals (P < 0.003). A comprehensive pooled analysis of 16 independent gene expression datasets revealed elevated expression of GABRB3 in prostate cancer tissues compared to that in normal tissues (P < 0.001). Furthermore, gene set enrichment analysis unveiled differential enrichment of pathways such as myogenesis, interferon γ and α responses, and the MYC proto-oncogene pathway in tumors with elevated GABRB3 expression, implying a role for GABRB3 in prostate cancer. Conclusion: Our results suggest that rs12591845 could potentially serve as a valuable prognostic indicator for patients undergoing ADT. The potential role of GABRB3 in promoting prostate tumorigenesis is also highlighted. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17558794
- Volume :
- 17
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- BMC Medical Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 175079546
- Full Text :
- https://doi.org/10.1186/s12920-024-01816-8