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SLC46A1 Haplotype with Predicted Functional Impact has Prognostic Value in Breast Carcinoma
V. Hlavac, R. Vaclavikova, V. Brynychova, P. Dvorak, K. Elsnerova, R. Kozevnikovova, K. Raus, K. Kopeckova, S. Mestakova, D. Vrana, J. Gatek, P. Soucek
Language English Country New Zealand
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
NV17-28470A
MZ0
CEP Register
Digital library NLK
Full text - Article
NLK
ProQuest Central
from 2008-05-01 to 1 year ago
Health & Medicine (ProQuest)
from 2008-05-01 to 1 year ago
- MeSH
- Survival Analysis MeSH
- Proton-Coupled Folate Transporter genetics MeSH
- Genetic Variation * MeSH
- Haplotypes MeSH
- Real-Time Polymerase Chain Reaction MeSH
- Humans MeSH
- Biomarkers, Tumor genetics MeSH
- Breast Neoplasms genetics MeSH
- Organic Anion Transporters genetics MeSH
- Prognosis MeSH
- Gene Expression Regulation, Neoplastic MeSH
- Sequence Analysis, DNA MeSH
- High-Throughput Nucleotide Sequencing MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
BACKGROUND AND OBJECTIVE: Membrane solute carrier transporters play an important role in the transport of a wide spectrum of substrates including anticancer drugs and cancer-related physiological substrates. This study aimed to assess the prognostic relevance of gene expression and genetic variability of selected solute carrier transporters in breast cancer. METHODS: Gene expression was determined by quantitative real-time polymerase chain reaction. All SLC46A1 and SLCO1A2 exons and surrounding non-coding sequences in DNA extracted from the blood of patients with breast cancer (exploratory phase) were analyzed by next-generation sequencing technology. Common variants (minor allele frequency ≥ 5%) with in silico-predicted functional relevance were further analyzed in a large cohort of patients with breast cancer (n = 815) and their prognostic and predictive potential was estimated (validation phase). RESULTS: A gene expression and bioinformatics analysis suggested SLC46A1 and SLCO1A2 to play a putative role in the prognosis of patients with breast cancer. In total, 135 genetic variants (20 novel) were identified in both genes in the exploratory phase. Of these variants, 130 were non-coding, three missense, and two synonymous. One common variant in SLCO1A2 and four variants in SLC46A1 were predicted to be pathogenic by in silico programs and subsequently validated. A SLC46A1 haplotype block composed of rs2239911-rs2239910-rs8079943 was significantly associated with ERBB2/HER2 status and disease-free survival of hormonally treated patients. CONCLUSIONS: This study revealed the prognostic value of a SLC46A1 haplotype block for breast cancer that should be further studied.
Department of Biology Faculty of Medicine in Pilsen Charles University Pilsen Czech Republic
Department of Oncosurgery MEDICON Prague Czech Republic
Department of Surgery EUC Hospital and University of Tomas Bata in Zlin Zlin Czech Republic
Institute for the Care for Mother and Child Prague Czech Republic
Toxicogenomics Unit National Institute of Public Health Prague Czech Republic
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- $a Hlavac, Viktor $u Laboratory of Pharmacogenomics, Faculty of Medicine in Pilsen, Biomedical Center, Charles University, alej Svobody 76, 323 00, Pilsen, Czech Republic. viktor.hlavac@lfp.cuni.cz $u Toxicogenomics Unit, National Institute of Public Health, Prague, Czech Republic. viktor.hlavac@lfp.cuni.cz
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- $a BACKGROUND AND OBJECTIVE: Membrane solute carrier transporters play an important role in the transport of a wide spectrum of substrates including anticancer drugs and cancer-related physiological substrates. This study aimed to assess the prognostic relevance of gene expression and genetic variability of selected solute carrier transporters in breast cancer. METHODS: Gene expression was determined by quantitative real-time polymerase chain reaction. All SLC46A1 and SLCO1A2 exons and surrounding non-coding sequences in DNA extracted from the blood of patients with breast cancer (exploratory phase) were analyzed by next-generation sequencing technology. Common variants (minor allele frequency ≥ 5%) with in silico-predicted functional relevance were further analyzed in a large cohort of patients with breast cancer (n = 815) and their prognostic and predictive potential was estimated (validation phase). RESULTS: A gene expression and bioinformatics analysis suggested SLC46A1 and SLCO1A2 to play a putative role in the prognosis of patients with breast cancer. In total, 135 genetic variants (20 novel) were identified in both genes in the exploratory phase. Of these variants, 130 were non-coding, three missense, and two synonymous. One common variant in SLCO1A2 and four variants in SLC46A1 were predicted to be pathogenic by in silico programs and subsequently validated. A SLC46A1 haplotype block composed of rs2239911-rs2239910-rs8079943 was significantly associated with ERBB2/HER2 status and disease-free survival of hormonally treated patients. CONCLUSIONS: This study revealed the prognostic value of a SLC46A1 haplotype block for breast cancer that should be further studied.
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