ArticleAsian Pacific journal of cancer prevention : APJCP2021
Association of RAD51 and XRCC2 Gene Polymorphisms with Cervical Cancer Risk in the Bangladeshi Women.
Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 16 citations in OpenAlex.
- Evaluation of ERCC4 (XPF) gene rs6498486 polymorphism and its potential role in breast cancer risk among Bangladeshi women.BMC cancer · 2026Article
- Association of the -4719A/T Polymorphism in the RAD51 Gene with Demographic and Clinicopathological Features of Lung Cancer in Iraqi Patients.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Link between the ESR2 (rs3020449) polymorphism and breast cancer risk in Bangladeshi women.Scientific reports · 2025Article
- A Novel Gene Expression Scoring System Predicts Recurrence in Non-Muscle-Invasive Bladder Cancer Patients.Cancer medicine · 2024Article
- Association of HOTAIR rs7958904 Polymorphism with Cervical Cancer Risk.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Article
- Assessment of the association ofHeliyon · 2023Article
- A review on the genetic polymorphisms and susceptibility of cancer patients in Bangladesh.Molecular biology reports · 2022Review
- Contribution of Radiation Sensitive Protein 51 Genotypes to Pterygium Risk in a Taiwanese Population.In vivo (Athens, Greece)Article
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7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveAlterations in common DNA repair genes (RAD51 and XRCC2) may lead to cervical cancer (CC) development. In the present study, we analyzed the association between RAD51 rs1801320 and XRCC2 rs3218536 polymorphisms and CC.
methodsVariants were selected based on their associations with some cancers in several ethnicities and the risk allele frequency (>0.05) in different populations. The variants were detected using the PCR-RFLP method. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were determined by logistic regression models.
resultSignificantly increased risk (p <0.05) were detected for both SNPs with CC (rs1801320- GC vs. GG: aOR=2.21, 95% CI=1.43-3.42; CC vs. GG: aOR=4.48, 95% CI=1.76-11.42; dominant model: aOR=2.49, 95% CI=1.65-3.76; recessive model: aOR=3.52, 95% CI=1.40-8.88; allele model: OR=2.30, 95% CI=1.63-3.26, and rs3218536- GA vs. GG: aOR=2.77, 95% CI=1.85-4.17; AA vs. GG: aOR=5.86, 95% CI=2.08-16.50; dominant model: aOR=2.97, 95% CI=1.99-4.42; recessive model: aOR=3.56, 95% CI=1.30-9.73; and allele model: aOR=2.21, 95% CI=1.62-3.00). Besides, older patients (>60 years) with rs1801320 showed significantly reduced risk (OR=0.53, 95% CI=0.29-0.96, p=0.04) but with rs3218536 depicted significantly increased risk (aOR=2.44, 95% CI=1.20-4.96, p=0.01) for CC.
conclusionThis study indicates an association of rs1801320 and rs3218536 polymorphisms with CC and confirms that patients older than 60 years are more likely to develop CC for rs3218536 polymorphism.
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