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Functional genetic variants of RUVBL1 predict overall survival of Chinese patients with epithelial ovarian cancer.

Publication ,  Journal Article
Li, H; Tong, X; Xu, Y; Wang, M; Dai, H; Shi, T; Sun, M; Chen, K; Cheng, X; Wei, Q
Published in: Carcinogenesis
October 16, 2019

To date, the 5-year overall survival of epithelial ovarian cancer (EOC) remains poor. Because studies suggest that RUVBL1 may be a chemotherapeutic target for the treatment of cancer, in this study, therefore, we investigated the role of potentially functional single nucleotide polymorphisms (SNPs) of RUVBL1 in the survival of Chinese patients with EOC, and we subsequently performed functional prediction and validation of the identified significant SNPs. We found that RUVBL1 rs1057156 A>G and RUVBL1 rs149652370 A>G were associated with survival of EOC patients in the multivariate Cox proportional hazards regression analysis. Specifically, the RUVBL1 rs149652370 AG genotype was associated with a shorter progression-free survival ([adjusted hazards ratio (HR)] = 3.32, 95% confidence interval (CI) = 1.76-6.25 and P = 2.01E-04), compared with the AA genotype. The RUVBL1 rs1057156 AG (only nine had GG) genotype was also associated with a poor overall survival (adjusted HR = 1.73, 95% CI = 1.19-2.52, P = 0.004), compared with the AA genotype. Further experiments showed that the RUVBL1 rs1057156 A>G change lowered its binding affinity to microRNA-4294 and led to upregulation of the RUVBL1 expression. We further found that overexpression of RUVBL1 promoted cell proliferation and metastatic potential. Overall, RUVBL1 enhanced EOC cell proliferation, invasion and migration presumably by stimulating the process of glycolysis. Thus, this study provides evidence that functional variants of RUVBL1 may regulate its gene expression, a possible mechanism affecting survival of EOC patients and that RUVBL1 may be a potential chemotherapeutic target for the treatment of EOC patients.

Duke Scholars

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Published In

Carcinogenesis

DOI

EISSN

1460-2180

Publication Date

October 16, 2019

Volume

40

Issue

10

Start / End Page

1209 / 1219

Location

England

Related Subject Headings

  • Tumor Cells, Cultured
  • Survival Rate
  • Retrospective Studies
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Oncology & Carcinogenesis
  • Middle Aged
  • Humans
  • Genotype
  • Genetic Predisposition to Disease
 

Citation

APA
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Li, H., Tong, X., Xu, Y., Wang, M., Dai, H., Shi, T., … Wei, Q. (2019). Functional genetic variants of RUVBL1 predict overall survival of Chinese patients with epithelial ovarian cancer. Carcinogenesis, 40(10), 1209–1219. https://doi.org/10.1093/carcin/bgz092
Li, Haoran, Xiaoxia Tong, Yuan Xu, Mengyun Wang, Hongji Dai, Tingyan Shi, Menghong Sun, Kexin Chen, Xi Cheng, and Qingyi Wei. “Functional genetic variants of RUVBL1 predict overall survival of Chinese patients with epithelial ovarian cancer.Carcinogenesis 40, no. 10 (October 16, 2019): 1209–19. https://doi.org/10.1093/carcin/bgz092.
Li H, Tong X, Xu Y, Wang M, Dai H, Shi T, et al. Functional genetic variants of RUVBL1 predict overall survival of Chinese patients with epithelial ovarian cancer. Carcinogenesis. 2019 Oct 16;40(10):1209–19.
Li, Haoran, et al. “Functional genetic variants of RUVBL1 predict overall survival of Chinese patients with epithelial ovarian cancer.Carcinogenesis, vol. 40, no. 10, Oct. 2019, pp. 1209–19. Pubmed, doi:10.1093/carcin/bgz092.
Li H, Tong X, Xu Y, Wang M, Dai H, Shi T, Sun M, Chen K, Cheng X, Wei Q. Functional genetic variants of RUVBL1 predict overall survival of Chinese patients with epithelial ovarian cancer. Carcinogenesis. 2019 Oct 16;40(10):1209–1219.
Journal cover image

Published In

Carcinogenesis

DOI

EISSN

1460-2180

Publication Date

October 16, 2019

Volume

40

Issue

10

Start / End Page

1209 / 1219

Location

England

Related Subject Headings

  • Tumor Cells, Cultured
  • Survival Rate
  • Retrospective Studies
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Oncology & Carcinogenesis
  • Middle Aged
  • Humans
  • Genotype
  • Genetic Predisposition to Disease