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Polymorphism of XRCC3 in Egyptian Breast Cancer Patients. | LitMetric

Polymorphism of XRCC3 in Egyptian Breast Cancer Patients.

Pharmgenomics Pers Med

Department of Clinical Pathology, Faculty of Medicine (New Damietta), Al-Azhar University, New Damietta, Damietta, Egypt.

Published: August 2020

AI Article Synopsis

Article Abstract

Purpose: Polymorphisms of DNA repair genes may contribute to variations in DNA repair capacity and subsequent genetic susceptibility to different cancers. In Egypt, breast cancer is the most common cancer among women, representing 18.9% of the total cancer cases. The present study assesses the correlation between X-ray repair cross-complementing group 3 () polymorphism with breast cancer and treatment response in Egyptian female breast cancer patients.

Patients And Methods: This pilot case-control study was conducted on 66 female breast cancer patients and 20 apparently healthy females as a control group. Tumor grading, immunohistostaining of hormone (progesterone and estrogen) receptors and human epidermal growth factor receptor 2 (HER2), and RFLP-PCR for (rs861539) polymorphism were performed. All breast cancer patients received a treatment protocol (after surgery) which was either chemotherapy (anthracyclines followed by paclitaxel or anthracyclines + fluorouracil) or radiotherapy, or both. Disease-free survival (DFS) and overall survival (OS) were recorded.

Results: The number of patients with a heterozygous allele (GA) was significantly higher in cases of tumor size >20 mm. The A allele was correlated with younger age at diagnosis in both chemotherapy and radiotherapy groups. Poor treatment response and higher mortality rates were significantly associated with AA and GA compared with GG alleles (normal allele). In the chemotherapy group, out of eight patients with the A allele, six showed a poor response to treatment containing fluorouracil.

Conclusion: XRCC3 rs861539 polymorphism could be associated with lower DFS and OS and poor treatment response. So, we recommend carrying out genotyping before starting treatment to choose the most effective treatment strategy according to polymorphism.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418173PMC
http://dx.doi.org/10.2147/PGPM.S260682DOI Listing

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