| Literature DB >> 27195611 |
Hayra de Andrade Vieira-Monteiro1,2, Daniely Regina Freitas-Alves1,2, Marcelo Sobral-Leite1,3, João Marcos de Azevedo Delou1,4, Sheyla Maria Torres Goulart-Citrangulo1, Camila Telles do Nascimento1, Thales Nascimento E Castro1,2, Sérgio Koifman2, Jamila Alessandra Perini2,5, Rosane Vianna-Jorge1,2,4.
Abstract
Vascular Endothelial Growth Factor (VEGF) mediates angiogenesis, which is crucial for tumor development and progression. The present study aimed to evaluate the impact of VEGFA gene polymorphisms rs699947, rs833061, rs1570360, rs2010963 and rs3025039 on breast cancer features and prognosis. A cohort of Brazilian women (N = 1038) with unilateral non-metastatic breast cancer was evaluated. The association between VEGFA polymorphisms and histopathological features or pathological complete response (pCR) to neoadjuvant chemotherapy was evaluated by the Chi-square test, with calculation of the respective odds ratio (OR) and 95% confidence intervals (95% CI). The impact of individual categories on disease-free survival was evaluated using Kaplan-Meier curves and multivariate Cox proportional hazards regression models for calculation of adjusted hazard ratios (HRadjusted). Variant genotypes of rs699947 (CA + AA) were significantly associated with high-grade (G2 + G3) tumors (OR = 1.82; 95% CI = 1.15 - 2.89), and with shorter disease-free survival among patients treated with neoadjuvant chemotherapy followed by mastectomy (HRadjusted = 1.82; 95% CI = 1.16 - 2.86). Variant genotypes of rs833061 (TC + CC) were significantly associated with high-grade (G2 + G3) tumors (OR = 1.79; 95% CI = 1.12 - 2.84) and with positive lymph node status (OR = 1.34; 95% CI = 1.01 - 1.77), but showed no independent effect on disease-free survival. Variant haplotypes (*2 to *5) appear to favor pCR (OR = 7.1; 95% CI = 1.7 - 30.1). VEGFA genotyping may add to prognostic evaluation of breast cancer, with rs699947 being the most likely to contribute.Entities:
Keywords: Angiogenesis; VEGFA; breast cancer; disease-free survival; haplotypes; polymorphisms; prognostic factors
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Year: 2016 PMID: 27195611 PMCID: PMC4990402 DOI: 10.1080/15384047.2016.1190486
Source DB: PubMed Journal: Cancer Biol Ther ISSN: 1538-4047 Impact factor: 4.742