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Elucidation of Increased Cervical Cancer Risk Due to Polymorphisms in XRCC1 (R399Q and R194W), ERCC5 (D1104H), and
Agneesh Pratim Das1, Sandeep Saini1, Shrishty Tyagi2
1Bioinformatics Division, ICMR-National Institute of Cancer Prevention and Research, I-7, Sector-39, Noida, 201301, Uttar Pradesh, India.
Genetic variations called single nucleotide polymorphisms (SNPs) are linked to cervical cancer. This study identified specific SNPs in DNA repair and oxidative stress genes that increase cervical cancer risk by affecting protein function.
Area of Science:
- Genetics
- Oncology
- Molecular Biology
Background:
- Genetic variations, specifically single nucleotide polymorphisms (SNPs), play a role in the development of cervical cancer.
- Identifying functional SNPs associated with cervical carcinogenesis is crucial for understanding disease risk and progression.
Approach:
- Literature mining identified 114 protein-coding polymorphisms relevant to cervical cancer.
- Functional assessment of SNPs using sequence-dependent tools and analysis of protein stability via sequence and structural data.
- Meta-analysis of 23 non-synonymous SNPs (nsSNPs) to evaluate their association with cervical cancer risk at the population level.
Key Points:
- Polymorphisms in DNA damage repair genes XRCC1 (rs25487, rs1799782) and ERCC5 (rs17655), and oxidative stress gene NQO1 (rs1800566) are significantly associated with increased cervical cancer risk.
- XRCC1 rs25487 and rs1799782 showed the highest risk in homozygous and recessive models, respectively.
- ERCC5 rs17655 and NQO1 rs1800566 demonstrated significant pooled odds ratios in homozygous and heterozygous models, respectively.
Conclusions:
- This study identified specific nsSNPs that are damaging, destabilize proteins, and are associated with an increased risk of cervical cancer.
- The findings highlight the role of genetic variations in DNA damage repair and oxidative stress pathways in cervical carcinogenesis.
- These identified SNPs can serve as potential biomarkers for cervical cancer risk assessment.
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