OCA2 rs4778137 polymorphism predicts survival of breast cancer patients receiving neoadjuvant chemotherapy
- PMID: 29409738
- DOI: 10.1016/j.gene.2018.01.100
OCA2 rs4778137 polymorphism predicts survival of breast cancer patients receiving neoadjuvant chemotherapy
Abstract
Background: Genome-wide association study (GWAS) studies have showed that single nucleotide polymorphisms (SNPs) in OCA2 gene were associated with the survival of breast cancer patients treated with adjuvant chemotherapy. To further explain the association between OCA2 SNPs and breast cancer survival, we investigated the predictive value of rs4778137 located in OCA2 in local advanced breast cancer patients receiving neoadjuvant chemotherapy.
Patients and methods: A case-cohort with 150 breast cancer patients was performed to evaluate the effects of the OCA2 rs4778137 on breast cancer survival. The association between rs4778137 genotypes and pathological complete response (pCR, defined that the postoperative pathology indicating no residual invasive breast cancer in the breast or the axillary lymph node) were analyzed. Logistic regression analysis was performed to identify the independent predictors of pCR. Survival was assessed by Kaplan-Meier method and Cox regression analysis according to the rs4778137 genotypes.
Results: The differences between pCR and the rs4778137 genotypes were statistically significant (p < 0.05). The patients with genotype GG harbored a better disease-free survival (HR: 2.358, p = 0.000) and overall survival (HR: 1.578, p = 0.008) than the patients with genotype CC in rs4778137. The further Univariate and Multivariate survival analysis revealed that SNP rs4778137 was an independent predictive factor of disease-free survival (p = 0.000/p = 0.001) and overall survival (p = 0.006/p = 0.045).
Conclusion: The OCA2 rs4778137 may be a predictor for the clinical response and survival in local advanced breast cancer patients who received neoadjuvant chemotherapy.
Keywords: Breast cancer; Neoadjuvant chemotherapy; OCA2; rs4778137.
Copyright © 2018 Elsevier B.V. All rights reserved.
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