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Related Experiment Video

Updated: Jul 5, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

A multigenic approach to evaluating prostate cancer risk in a systematic replication study.

Fang-Chi Hsu1, Sara Lindström, Jielin Sun

  • 1Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157, USA.

Cancer Genetics and Cytogenetics
|May 28, 2008
PubMed
Summary

Multiple gene variants increase prostate cancer risk. Individuals with over eight risk variants showed a nearly twofold increased likelihood of developing prostate cancer, indicating additive effects.

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Area of Science:

  • Genetics
  • Oncology
  • Epidemiology

Background:

  • Prostate cancer risk is influenced by multiple genes, yet research often focuses on single-gene approaches.
  • Previous studies identified six significant polymorphisms in five genes associated with prostate cancer risk.
  • Higher-order gene-gene interactions and combined effects of these polymorphisms require further investigation.

Purpose of the Study:

  • To investigate higher-order gene-gene interactions among 46 genetic variants.
  • To evaluate the combined effect of six significant polymorphisms on prostate cancer risk.
  • To determine if cumulative risk variants increase prostate cancer susceptibility.

Main Methods:

  • Classification and regression tree (CART) analysis for gene-gene interactions.
  • Logistic regression analysis for interaction confirmation.
  • Case-control study design with 1,461 prostate cancer cases and 795 controls.

Main Results:

  • No significant higher-order gene-gene interactions were confirmed by logistic regression.
  • Individuals with more than eight cumulative risk variants had a nearly twofold increased risk of prostate cancer (OR = 1.99, P = 0.0014).
  • A significant trend of increasing risk with a higher number of risk variants was observed (P < 0.0001).
  • Additive, but not multiplicative, effects were found among the six significant polymorphisms.

Conclusions:

  • Cumulative effects of multiple prostate cancer risk variants significantly increase susceptibility.
  • The presence of multiple risk variants, rather than specific interactions, is a key factor in prostate cancer development.
  • Future research should consider the cumulative impact of genetic variants for a comprehensive understanding of prostate cancer risk.