Literature DB >> 34837148

The link of ERCC2 rs13181 and ERCC4 rs2276466 polymorphisms with breast cancer in the Bangladeshi population.

Shaid All Sahaba1, Mohammad Abdur Rashid2, Md Saiful Islam3, Noor Ahmed Nahid3, Mohd Nazmul Hasan Apu3, Taposhi Nahid Sultana3, Nusrat Islam Chaity3, Md Mehedi Hasan3, Mohammad Safiqul Islam4.   

Abstract

BACKGROUND: Breast cancer (BC) is the most common disease in women and the leading cause of death from cancer globally. Epidemiological studies examined that nucleotide excision repair genes ERCC2 (rs13181) and ERCC4 (rs2276466) SNPs might increase cancer risk. Based on the previous investigation, this study was conducted to explore the correlation between these polymorphisms and BC susceptibility in Bangladeshi women. METHODS AND
RESULTS: Between January 2019 and January 2020, 140 blood samples were collected from female patients histologically diagnosed with BC, and 111 female controls were recruited from non-cancer subjects. Genotyping was performed applying the PCR-RFLP method, and all statistical analyzes were conducted using SPSS, version 25.0. Comparison of characteristics and clinicopathological features between ERCC2 rs13181 and ERCC4 rs2276466 carriers and non-carriers showed no significant link with BC. Analysis of ERCC2 rs13181 with the risk of BC showed that the GG genotype and G allele carriers showed a fourfold and 1.78-fold higher risk (OR 4.00, P = 0.001 and OR 1.78, P = 0.002) that are statistically significant. In addition, the patients with combined TG+GG genotype revealed a 2.09-fold increased chance (OR 2.09, P = 0.020) BC development. Analysis of recessive model (GG vs. TT+TG) also depicted 2.74-times significantly higher risk (OR 2.74, P = 0.002). On the other hand, ERCC4 rs2276466 polymorphism did not show any significant association with BC (P > 0.05).
CONCLUSIONS: Our findings show that ERCC2 rs13181 is linked to an elevated risk of BC. Our study also shows that ERCC4 rs2276466 polymorphism has no substantial risk of BC in the Bangladeshi population.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Breast cancer; ERCC2; ERCC4; Genetic association; Polymorphism

Mesh:

Substances:

Year:  2021        PMID: 34837148     DOI: 10.1007/s11033-021-06994-7

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


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