Influence of IL-1R2 polymorphisms on endometrial cancer susceptibility in the Chinese Han population.

Mol Genet Genomic Med

Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi'an, Shaanxi, China.

Published: May 2019

AI Article Synopsis

  • Recent research highlights the significant role of genetic factors, particularly single nucleotide polymorphisms (SNPs) in the IL-1R2 gene, in increasing susceptibility to endometrial cancer.
  • A case-control study with 293 endometrial cancer patients and 579 healthy individuals found specific SNPs and haplotypes associated with higher cancer risk.
  • The study concluded that certain IL-1R2 polymorphisms might influence endometrial cancer development, with a recommendation for further investigation to validate these findings.

Article Abstract

Background: Recently, many studies have identified that genetic factor plays a crucial role in endometrial cancer development. The purpose of this study is to investigate the influence of single nucleotide polymorphisms (SNPs) of IL-1R2 on endometrial cancer susceptibility.

Methods: We performed a case-control study that included 293 patients with endometrial cancer and 579 healthy controls. Six SNPs in the IL-1R2 gene were genotyped using the Agena MassARRAY platform. Genetic models and haplotype analyses were used to assess the association between SNPs and endometrial cancer risk by computing odds ratios (ORs) and 95% confidence intervals (CIs).

Results: Overall analysis results found that two SNPs (rs4851527 and rs3218896) and haplotypes TGTC and TACT were significantly associated with endometrial cancer risk. Stratified analysis by age showed that rs2072472 was associated with endometrial cancer risk in age >54 subgroup.

Conclusions: These findings suggested that IL-1R2 polymorphisms may contribute to the development of endometrial cancer. Further studies are required to confirm the results.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503006PMC
http://dx.doi.org/10.1002/mgg3.650DOI Listing

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