Association of Vitamin D Receptor and Vitamin D-Binding Protein Polymorphisms with Familial Breast Cancer Prognosis in a Mono-Institutional Cohort.
Valentina AristarcoHarriet JohanssonSara GandiniDebora MacisCristina ZanzotteraGianluca TolvaIrene FeroceChiara AccorneroBernardo BonanniAliana Guerrieri-GonzagaDavide SerranoPublished in: Nutrients (2021)
Low 25-hydroxyvitamin D (25OHD) has been associated with an increased cancer incidence and poorer prognosis. Single nucleotide polymorphisms (SNPs) of vitamin D receptor (VDR) and vitamin D binding protein (GC gene) may interfere with vitamin D activity. This study assesses the role of VDR and GC SNPs on breast cancer (BC) recurrence and survival in a cohort of patients with a family history of breast cancer, without the pathogenic variant for BRCA1 and BRCA2. A consecutive series of patients who underwent genetic testing were genotyped for VDR and GC genes. Specifically, ApaI, FokI, TaqI, BsmI and rs2282679, rs4588, rs7041 SNPs were determined. A total of 368 wild type (WT) patients with BC were analyzed for VDR and GC SNPs. The GC rs2282679 minor allele was significantly associated with luminal subtype of the primary tumor compared to Her2+/TN breast cancer (p = 0.007). Multivariate Cox models showed that BmsI and TaqI are significantly associated with BC outcome. Patients with the major alleles showed more than 30% lower hazard of relapse (BsmI p = 0.02 and TaqI p = 0.03). Our study supports the evidence for a pivotal role of 25OHD metabolism in BC. GC SNPs may influence the hormone tumor responsiveness and VDR may affect tumor prognosis.
Keyphrases
- genome wide
- binding protein
- gas chromatography
- dna methylation
- breast cancer risk
- end stage renal disease
- wild type
- genome wide association
- newly diagnosed
- ejection fraction
- free survival
- copy number
- chronic kidney disease
- gene expression
- prognostic factors
- mass spectrometry
- transcription factor
- childhood cancer
- tandem mass spectrometry
- genome wide identification
- young adults
- squamous cell
- lymph node metastasis
- data analysis