Abstract
Breast cancer (BC) is the most common cause of cancer-related death in women worldwide. Several ABCB1 and VEGFA gene polymorphisms, such as ABCB1-G1199 T/A (rs2229109), VEGFA -634 G > C (rs2010963), VEGFA 2578 C > A (rs699947) and VEGFA 7 C > T (rs25648) have been associated with risk of BC and clinical outcomes. The purpose of this study was to evaluate the association between these gene polymorphisms and BC risk and prognosis.
A retrospective case-control study was conducted, including 84 BC cases and 119 controls of Spanish (European, Caucasian) origin. ABCB1-G1199 T/A (rs2229109), VEGFA -634 G > C (rs2010963), VEGFA 2578 C > A (rs699947) and VEGFA 7 C > T (rs25648) gene polymorphisms were analysed by TaqMan®.
The genotypic logistic regression model adjusted by aged revealed no association with any of the polymorphisms and BC risk, although the C-allele of VEGFA 2578 C > A showed a trend to higher BC risk in the allelic and recessive models (p = 0.055 and 0.054, respectively). There was no influence of these gene polymorphisms on overall survival (OS). The univariate Cox model showed that carriers of the A-allele for VEGFA 2578 C > A tended to have longer OS compared to CC patients (CC vs A-allele Hazard ratio (HR): 2.08; CI95 % = 0.96–4.49; p = 0.0587). There was no association between the gene polymorphisms analysed and disease-free survival (DFS). The univariate Cox model showed a trend toward a longer DFS in patients carrying ABCB1-G1199 T/A GG genotype compared to those with A-allele (GG vs A-allele HR: 0.43; CI95 % = 0.18–1.03; p = 0.0612).
No influence of ABCB1-G1199 T/A (rs2229109), VEGFA -634 G > C (rs2010963), VEGFA 2578 C > A (rs699947) and VEGFA 7 C > T (rs25648) gene polymorphisms on risk of developing BC was found in our study. There was no association between the polymorphisms studied and DFS and OS.
| Original language | English |
|---|---|
| Article number | 152860 |
| Journal | Pathology, research and practice |
| Volume | 216 |
| Issue number | 4 |
| Early online date | 13 Feb 2020 |
| DOIs | |
| Publication status | Early online date - 13 Feb 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Association of ABCB1 and VEGFA gene polymorphisms with breast cancer susceptibility and prognosis'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver