The T393C polymorphism of the Gαs gene (GNAS1) is a novel prognostic marker in bladder cancer

76Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

The G protein Gαs pathway is linked to proapoptotic signaling in cancer cell lines. To assess the role of the GNAS1 locus encoding Gαs as a genetic factor for disease progression of transitional cell carcinoma (TCC) of the bladder, we genotyped the synonymous T393C polymorphism in 254 patients with TCC (minor allele frequency: 0.43) to examine a potential association between genotypes and disease progression. Using Kaplan-Meier estimates to calculate 5-year probabilities of follow-up, we could show that progression-free survival, metastasis-free survival, and cancer-specific survival was significantly increased in TT genotypes (56%, 84%, 82%) compared with CC genotypes (35%, 53%, 58%). In multivariate Cox proportional hazard analysis, the T393C polymorphism was an independent prognostic factor for clinical outcome. Homozygous CC patients were at highest risk for progression [odds ratio (OR), 1.94; P = 0.020], metastasis (OR, 3.49; P = 0.005), and tumor-related death (OR, 2.49; P = 0.031) compared with TT genotypes. Heterozygous patients had an intermediate risk compatible with a gene-dose effect. Real-time PCR analysis of urothelial tumor tissue as well as adipose and heart tissue revealed that Gαs mRNA expression was highest in TT genotypes, indicating a proapoptotic effect in these genotypes. In conclusion, the GNAS1 T393C status associated with differential Gαs mRNA expression is a novel independent prognostic marker for clinical outcome supporting a functional role of Gαs in bladder cancer progression. Copyright © 2005 American Association for Cancer Research.

Cite

CITATION STYLE

APA

Frey, U. H., Eisenhardt, A., Lümmen, G., Rübben, H., Jöckel, K. H., Schmid, K. W., & Siffert, W. (2005). The T393C polymorphism of the Gαs gene (GNAS1) is a novel prognostic marker in bladder cancer. Cancer Epidemiology Biomarkers and Prevention, 14(4), 871–877. https://doi.org/10.1158/1055-9965.EPI-04-0720

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free