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Are cell cycle and apoptosis genes associated with prostate cancer risk in North Indian population?☆

  • Raju Kumar Mandal, M.Sc.

      Affiliations

    • RKM thanks the Council of Scientific and Industrial Research, New Delhi, India for providing Junior Research fellowship during the course of study.
    • ,
  • Rama Devi Mittal, Ph.D.

      Affiliations

    • Corresponding Author InformationCorresponding author. Tel.: +091-522-2668004-8 ext. 4116; fax: +091-522-2668-017.

Department of Urology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Uttar Pradesh, India

Received 8 April 2010; received in revised form 11 May 2010; accepted 13 May 2010. published online 07 September 2010.
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Abstract 

Objective

Prostate cancer (CaP) is a heterogeneous, multifactorial, and multifocal disease. Therefore, the search for a combination of functional polymorphisms using cell cycle and apoptotic genes as tumor markers is fundamental for a more precise and reliable diagnosis. In the present study, we investigated the diagnostic value of 3 different genes associated with CaP carcinogenesis, encoding for cell cycle (MDM2, CCND1) and apoptotic (Fas) genes that are differentially expressed in CaP.

Methods

In a hospital-based case control study of northern India, blood samples were obtained from 192 CaP patients and 224 cancer-free age matched unrelated healthy controls of similar ethnicity. They were genotyped for MDM2 G309T, CCND1 G870A, Fas A670G, and G1377A polymorphisms using polymerase chain restriction fragment length polymorphism (PCR-RFLP) method.

Results

MDM2 309GG variant was at reduced risk for developing CaP (P = 0.041; OR, 0.59). Whereas CCND1 AA genotype demonstrated increased risk (P = 0.018; OR, 1.86). The diplotype analysis of Fas G670A and G1377A (G-A) was observed to be associated with a significant increase in CaP risk (P = 0.024; OR, 1.63).

Conclusion

Findings based on current sample size our results suggested a positive association of CCND1AA genotype and diplotype analysis of Fas G670A and G1377A (G-A) to be associated with CaP risk that could influence the pathophysiology, thereby modulating the risk of CaP.

Keywords: Polymorphism, Prostate cancer

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☆ This study was supported by Uttar Pradesh Council of Science and Technology (UPCST) grant, Lucknow, India.

PII: S1078-1439(10)00130-4

doi:10.1016/j.urolonc.2010.05.006

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