MicroRNA target site polymorphisms in the VHL-HIF1α pathway predict renal cell carcinoma risk

Hua Wei1, Hung-Lung Ke, Jie Lin

  • 1Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Insights

Genetic variations in microRNA-binding sites within the VHL-HIF1α pathway influence renal cell carcinoma (RCC) risk. Specific single-nucleotide polymorphisms (SNPs) are linked to increased or decreased RCC susceptibility, aiding in early detection strategies.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Renal cell carcinoma (RCC) is a significant cause of cancer death.
  • The VHL-HIF1α pathway plays a crucial role in cellular response to hypoxia and cancer development.
  • Understanding genetic predispositions is vital for early RCC detection and prevention.

Purpose of the Study:

  • To investigate the association between variations in microRNA (miRNA)-binding sites of VHL-HIF1α pathway genes and RCC risk.
  • To identify specific single-nucleotide polymorphisms (SNPs) that modify an individual's susceptibility to RCC.

Main Methods:

  • A case-control study was conducted with 894 RCC cases and 1,516 controls.
  • 429 miRNA-binding site SNPs in 102 pathway genes were identified.
  • 53 tagging-SNPs for 31 genes were assessed for their association with RCC risk.

Main Results:

  • Five SNPs showed a significant association with RCC risk.
  • rs743409 in MAPK1 was linked to a 10% risk reduction (OR: 0.90).
  • Cumulative analysis revealed a 2.14-fold increased risk for individuals with four or five unfavorable genotypes. High-risk combinations of SNPs in CDCP1 and DEC1 showed a 4.46-fold increased risk.

Conclusions:

  • This study provides the first evidence linking miRNA-binding site SNPs in the VHL-HIF1α pathway to RCC risk.
  • Identified genetic variants may serve as novel biomarkers for identifying individuals at high risk for RCC.
  • Early identification of high-risk individuals can facilitate timely tumor detection and improve patient outcomes.

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