Int J Med Sci 2015; 12(3):243-247. doi:10.7150/ijms.10953 This issue Cite

Research Paper

Genetic Interaction Analysis of TCF7L2 for Biochemical Recurrence after Radical Prostatectomy in Localized Prostate Cancer

Chien-Shu Chen1, Chao-Yuan Huang2, Shu-Pin Huang3,4, Victor C. Lin5,6, Chia-Cheng Yu7,8,9, Ta-Yuan Chang10, Bo-Ying Bao1,11,12 ✉

1. Department of Pharmacy, China Medical University, Taichung, Taiwan
2. Department of Urology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
3. Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
4. Department of Urology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
5. Department of Urology, E-Da Hospital, Kaohsiung, Taiwan
6. School of Medicine for International Students, I-Shou University, Kaohsiung, Taiwan
7. Division of Urology, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
8. Department of Urology, School of Medicine, National Yang-Ming University, Taipei, Taiwan
9. Department of Pharmacy, Tajen University, Pingtung, Taiwan
10. Department of Occupational Safety and Health, China Medical University, Taichung, Taiwan
11. Sex Hormone Research Center, China Medical University Hospital, Taichung, Taiwan
12. Department of Nursing, Asia University, Taichung, Taiwan

Citation:
Chen CS, Huang CY, Huang SP, Lin VC, Yu CC, Chang TY, Bao BY. Genetic Interaction Analysis of TCF7L2 for Biochemical Recurrence after Radical Prostatectomy in Localized Prostate Cancer. Int J Med Sci 2015; 12(3):243-247. doi:10.7150/ijms.10953. https://www.medsci.org/v12p0243.htm
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Abstract

Backgroud: Accumulated evidence has demonstrated a significant role of the Wnt pathway in human prostate cancer. We hypothesize that genetic variants in the Wnt pathway effector, Transcription factor 7-like 2 (TCF7L2), may influence clinical outcomes in prostate cancer.

Methods: We comprehensively selected 12 tagged single-nucleotide polymorphisms (SNPs) to capture majority of common variants across TCF7L2, and genotyped in 458 localized prostate cancer patients treated with radical prostatectomy (RP). Kaplan-Meier analysis, Cox proportional hazard model, and survival tree analyses were performed to identify significant SNPs that correlated with biochemical recurrence (BCR) after surgery.

Results: A higher-order SNP-SNP interaction profile consisting of TCF7L2 rs7094463, rs10749127, and rs11196224 was significantly associated with BCR (Ptrend = 0.001). After adjusting for possible confounders, the genetic profile remained significant (Ptrend = 0.007). None of the studied SNPs were individually associated with BCR.

Conclusions: Our results support a genetic interaction in the TCF7L2 SNPs as a predictor of disease recurrence after curative RP in localized prostate cancer patients.

Keywords: biochemical recurrence, prostate cancer, radical prostatectomy, single-nucleotide polymorphism, TCF7L2, Wnt pathway


Citation styles

APA
Chen, C.S., Huang, C.Y., Huang, S.P., Lin, V.C., Yu, C.C., Chang, T.Y., Bao, B.Y. (2015). Genetic Interaction Analysis of TCF7L2 for Biochemical Recurrence after Radical Prostatectomy in Localized Prostate Cancer. International Journal of Medical Sciences, 12(3), 243-247. https://doi.org/10.7150/ijms.10953.

ACS
Chen, C.S.; Huang, C.Y.; Huang, S.P.; Lin, V.C.; Yu, C.C.; Chang, T.Y.; Bao, B.Y. Genetic Interaction Analysis of TCF7L2 for Biochemical Recurrence after Radical Prostatectomy in Localized Prostate Cancer. Int. J. Med. Sci. 2015, 12 (3), 243-247. DOI: 10.7150/ijms.10953.

NLM
Chen CS, Huang CY, Huang SP, Lin VC, Yu CC, Chang TY, Bao BY. Genetic Interaction Analysis of TCF7L2 for Biochemical Recurrence after Radical Prostatectomy in Localized Prostate Cancer. Int J Med Sci 2015; 12(3):243-247. doi:10.7150/ijms.10953. https://www.medsci.org/v12p0243.htm

CSE
Chen CS, Huang CY, Huang SP, Lin VC, Yu CC, Chang TY, Bao BY. 2015. Genetic Interaction Analysis of TCF7L2 for Biochemical Recurrence after Radical Prostatectomy in Localized Prostate Cancer. Int J Med Sci. 12(3):243-247.

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