Literature DB >> 26985954

Association between ERCC1 and ERCC2 polymorphisms and breast cancer risk in a Chinese population.

R Zhao1, M F Ying1.   

Abstract

We conducted a case-control study to investigate the role of ERCC1 rs3212986 and ERCC2 rs13181 gene polymorphisms in the development of breast cancer. Between March 2012 and March 2014, a total of 242 newly diagnosed breast cancer patients with histopathologically confirmed primary breast cancer and 242 healthy controls were recruited. Genotyping of ERCC1 rs3212986 and ERCC2 rs13181 polymorphisms was carried out using polymerase chain reaction-restriction fragment length polymorphism analysis. Unconditional logistic regression analyses indicated that the TT genotype of rs3212986 was associated with a higher risk of breast cancer compared to that associated with the GG genotype (OR = 2.05, 95%CI = 1.13-3.78). In dominant and recessive models, we found that the rs3212986 polymorphism was associated with increased risk of breast cancer, and the ORs were 1.50 (95%CI = 1.03-2.18) and 1.74 (95%CI = 1.01-3.11), respectively. In summary, we found that the ERCC1 rs3212986 polymorphism was associated with the development of breast cancer.

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Year:  2016        PMID: 26985954     DOI: 10.4238/gmr.15017263

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  3 in total

1.  Significant association between ERCC2 and MTHR polymorphisms and breast cancer susceptibility in Moroccan population: genotype and haplotype analysis in a case-control study.

Authors:  Hanaa Hardi; Rahma Melki; Zouhour Boughaleb; Tijani El Harroudi; Souria Aissaoui; Noureddine Boukhatem
Journal:  BMC Cancer       Date:  2018-03-15       Impact factor: 4.430

2.  ERCC1 rs11615 polymorphism increases susceptibility to breast cancer: a meta-analysis of 4547 individuals.

Authors:  Bingjie Li; Xiaoqing Shi; Yingying Yuan; Mengle Peng; Huifang Jin; Dongchun Qin
Journal:  Biosci Rep       Date:  2018-06-21       Impact factor: 3.976

3.  MassARRAY-based single nucleotide polymorphism analysis in breast cancer of north Indian population.

Authors:  Divya Bakshi; Ashna Nagpal; Varun Sharma; Indu Sharma; Ruchi Shah; Bhanu Sharma; Amrita Bhat; Sonali Verma; Gh Rasool Bhat; Deepak Abrol; Rahul Sharma; Samantha Vaishnavi; Rakesh Kumar
Journal:  BMC Cancer       Date:  2020-09-07       Impact factor: 4.430

  3 in total

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