SLC46A1 Haplotype with Predicted Functional Impact has Prognostic Value in Breast Carcinoma
Jazyk angličtina Země Nový Zéland Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
33387348
DOI
10.1007/s40291-020-00506-2
PII: 10.1007/s40291-020-00506-2
Knihovny.cz E-zdroje
- MeSH
- analýza přežití MeSH
- folátový přenašeč spřažený s transportem protonů genetika MeSH
- genetická variace * MeSH
- haplotypy MeSH
- kvantitativní polymerázová řetězová reakce MeSH
- lidé MeSH
- nádorové biomarkery genetika MeSH
- nádory prsu genetika MeSH
- přenašeče organických aniontů genetika MeSH
- prognóza MeSH
- regulace genové exprese u nádorů MeSH
- sekvenční analýza DNA MeSH
- vysoce účinné nukleotidové sekvenování MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- folátový přenašeč spřažený s transportem protonů MeSH
- nádorové biomarkery MeSH
- přenašeče organických aniontů MeSH
- SLC46A1 protein, human MeSH Prohlížeč
- SLCO1A2 protein, human MeSH Prohlížeč
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
Zobrazit více v PubMed
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. PubMed
Videira M, Reis RL, Brito MA. Deconstructing breast cancer cell biology and the mechanisms of multidrug resistance. Biochim Biophys Acta. 2014;1846(2):312–25. PubMed
El-Gebali S, Bentz S, Hediger M, Anderle P. Solute carriers (SLCs) in cancer. Mol Aspects Med. 2013;34(2–3):719–34. PubMed
Szakacs G, Paterson JK, Ludwig JA, Booth-Genthe C, Gottesman MM. Targeting multidrug resistance in cancer. Nat Rev Drug Discov. 2006;5(3):219–34. PubMed
Lemstrova R, Soucek P, Melichar B, Mohelnikova-Duchonova B. Role of solute carrier transporters in pancreatic cancer: a review. Pharmacogenomics. 2014;15(8):1133–45. PubMed
Mohelnikova-Duchonova B, Melichar B, Soucek P. FOLFOX/FOLFIRI pharmacogenetics: the call for a personalized approach in colorectal cancer therapy. World J Gastroenterol. 2014;20(30):10316–30. PubMed PMC
Hlavata I, Mohelnikova-Duchonova B, Vaclavikova R, Liska V, Pitule P, Novak P, et al. The role of ABC transporters in progression and clinical outcome of colorectal cancer. Mutagenesis. 2012;27(2):187–96. PubMed
Hlavac V, Brynychova V, Vaclavikova R, Ehrlichova M, Vrana D, Pecha V, et al. The expression profile of ATP-binding cassette transporter genes in breast carcinoma. Pharmacogenomics. 2013;14(5):515–29. PubMed
Elsnerova K, Mohelnikova-Duchonova B, Cerovska E, Ehrlichova M, Gut I, Rob L, et al. Gene expression of membrane transporters: importance for prognosis and progression of ovarian carcinoma. Oncol Rep. 2016;35(4):2159–70. PubMed
Mohelnikova-Duchonova B, Brynychova V, Hlavac V, Kocik M, Oliverius M, Hlavsa J, et al. The association between the expression of solute carrier transporters and the prognosis of pancreatic cancer. Cancer Chemother Pharmacol. 2013;72(3):669–82. PubMed
Mohelnikova-Duchonova B, Brynychova V, Oliverius M, Honsova E, Kala Z, Muckova K, et al. Differences in transcript levels of ABC transporters between pancreatic adenocarcinoma and nonneoplastic tissues. Pancreas. 2013;42(4):707–16. PubMed
César-Razquin A, Snijder B, Frappier-Brinton T, Isserlin R, Gyimesi G, Bai X, et al. A call for systematic research on solute carriers. Cell. 2015;162(3):478–87. PubMed
Zemanek T, Melichar B, Lovecek M, Soucek P, Mohelnikova-Duchonova B. Biomarkers and pathways of chemoresistance and chemosensitivity for personalized treatment of pancreatic adenocarcinoma. Pharmacogenomics. 2019;20(2):113–27. PubMed
Baldwin SA, Beal PR, Yao SY, King AE, Cass CE, Young JD. The equilibrative nucleoside transporter family, SLC29. Pflug Arch. 2004;447:735–43.
Gray JH, Owen RP, Giacomini KM. The concentrative nucleoside transporter family, SLC28. Pflug Arch. 2004;447:728–34.
Qiu A, Jansen M, Sakaris A, Min SH, Chattopadhyay S, Tsai E, et al. Identification of an intestinal folate transporter and the molecular basis for hereditary folate malabsorption. Cell. 2006;127:917–28. PubMed
Sprowl JA, Mikkelsen TS, Giovinazzo H, Sparreboom A. Contribution of tumoral and host solute carriers to clinical drug response. Drug Resist Updates. 2012;15:5–20.
Angelini S, Pantaleo MA, Ravegnini G, Zenesini C, Cavrini G, Nannini M, et al. Polymorphisms in OCTN1 and OCTN2 transporters genes are associated with prolonged time to progression in unresectable gastrointestinal stromal tumours treated with imatinib therapy. Pharm Res. 2013;68:1–6.
Nakanishi T, Tamai I. Putative roles of organic anion transporting polypeptides (OATPs) in cell survival and progression of human cancers. Biopharm Drug Dispos. 2014;35(8):463–84. PubMed
Sutherland R, Meeson A, Lowes S. Solute transporters and malignancy: establishing the role of uptake transporters in breast cancer and breast cancer metastasis. Cancer Metast Rev. 2020;39(3):919–32.
Hubackova M, Vaclavikova R, Ehrlichova M, Mrhalova M, Kodet R, Kubackova K, et al. Association of superoxide dismutases and NAD(P)H quinone oxidoreductases with prognosis of patients with breast carcinomas. Int J Cancer. 2012;130:338–48. PubMed
Hlavac V, Kovacova M, Elsnerova K, Brynychova V, Kozevnikovova R, Raus K, et al. Use of germline genetic variability for prediction of chemoresistance and prognosis of breast cancer patients. Cancers. 2018;10:511. PMC
Therasse P, Eisenhauer EA, Verweij J. RECIST revisited: a review of validation studies on tumour assessment. Eur J Cancer. 2006;42(8):1031–9. PubMed
Topic E, Gluhak J. Isolation of restrictible DNA. Eur J Clin Chem Clin Biochem. 1991;29(5):327–30. PubMed
Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, et al. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009;55:611–22. PubMed
Vaclavikova R, Klajic J, Brynychova V, Elsnerova K, Alnaes GIG, Tost J, et al. Development of high resolution melting analysis for ABCB1 promoter methylation: clinical consequences in breast and ovarian carcinoma. Oncol Rep. 2019;42(2):763–74. PubMed
Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2(5):401–4. PubMed
Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6(269):l1.
Koch A, De Meyer T, Jeschke J, Van Criekinge W. MEXPRESS: visualizing expression, DNA methylation and clinical TCGA data. BMC Genom. 2015;16:636.
Nagy A, Lánczky A, Menyhárt O, Győrffy B. Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets. Sci Rep. 2018;8:9227. PubMed PMC
Van der Auwera GA, Carneiro MO, Hartl C, Poplin R, Del Angel G, Levy-Moonshine A, et al. From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline. Curr Protoc Bioinform. 2013;43(1110):11.10.1-33.
Gabriel SB, Schaffner SF, Nguyen H, Moore JM, Roy J, Blumenstiel B, et al. The structure of haplotype blocks in the human genome. Science. 2002;296(5576):2225–9. PubMed
Boyle AP, Hong EL, Hariharan M, Cheng Y, Schaub MA, Kasowski M, et al. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res. 2012;22(9):1790–7. PubMed PMC
Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, et al. A method and server for predicting damaging missense mutations. Nat Methods. 2010;7(4):248–9. PubMed PMC
Vaser R, Adusumalli S, Leng SN, Sikic M, Ng PC. SIFT missense predictions for genomes. Nat Protoc. 2016;11(1):1–9. PubMed
Ward LD, Kellis M. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 2012;40(Database issue):D930–4. PubMed
Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38:e164. PubMed PMC
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc. 1995;57:289–300.
Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K, Thorn CF, et al. Pharmacogenomics knowledge for personalized medicine. Clin Pharm Ther. 2012;92(4):414–7.
Marchler-Bauer A, Derbyshire MK, Gonzales NR, Lu S, Chitsaz F, Geer LY, et al. CDD: NCBI’s conserved domain database. Nucleic Acids Res. 2015;43(Database issue):D222–6. PubMed
Jarman EJ, Ward C, Turnbull AK, Martinez-Perez C, Meehan J, Xintaropoulou C, et al. HER2 regulates HIF-2alpha and drives an increased hypoxic response in breast cancer. Breast Cancer Res. 2019;21(1):10. PubMed PMC
Clifford AJ, Rincon G, Owens JE, Medrano JF, Moshfegh AJ, Baer DJ, et al. Single nucleotide polymorphisms in CETP, SLC46A1, SLC19A1, CD36, BCMO1, APOA5, and ABCA1 are significant predictors of plasma HDL in healthy adults. Lipids Health Dis. 2013;12:66. PubMed PMC
Lima A, Bernardes M, Azevedo R, Monteiro J, Sousa H, Medeiros R, et al. SLC19A1, SLC46A1 and SLCO1B1 polymorphisms as predictors of methotrexate-related toxicity in Portuguese rheumatoid arthritis patients. Toxicol Sci. 2014;142(1):196–209. PubMed
Huang T, Tucker KL, Lee YC, Crott JW, Parnell LD, Shen J, et al. Interactions between genetic variants of folate metabolism genes and lifestyle affect plasma homocysteine concentrations in the Boston Puerto Rican population. Public Health Nutr. 2011;14(10):1805–12. PubMed PMC
Kelley KM, Rowan BG, Ratnam M. Modulation of the folate receptor alpha gene by the estrogen receptor: mechanism and implications in tumor targeting. Cancer Res. 2003;63(11):2820–8. PubMed
Price RJ, Lillycrop KA, Burdge GC. Folic acid induces cell type-specific changes in the transcriptome of breast cancer cell lines: a proof-of-concept study. J Nutr Sci. 2016;5:e17. PubMed PMC
Zhou F, Zhu L, Wang K, Murray M. Recent advance in the pharmacogenomics of human solute carrier transporters (SLCs) in drug disposition. Adv Drug Deliv Rev. 2017;116:21–36. PubMed
Callens C, Debled M, Delord M, Turbiez-Stalain I, Veyret C, Bièche I, Brain E. High-throughput pharmacogenetics identifies SLCO1A2 polymorphisms as candidates to elucidate the risk of febrile neutropenia in the breast cancer RAPP-01 trial. Breast Cancer Res Treat. 2015;153(2):383–9. PubMed
Lee W, Glaeser H, Smith LH, Roberts RL, Moeckel GW, Gervasini G, et al. Polymorphisms in human organic anion-transporting polypeptide 1A2 (OATP1A2): implications for altered drug disposition and central nervous system drug entry. J Biol Chem. 2005;280(10):9610–7. PubMed
Badagnani I, Castro RA, Taylor TR, Brett CM, Huang CC, Stryke D, et al. Interaction of methotrexate with organic-anion transporting polypeptide 1A2 and its genetic variants. J Pharmacol Exp Ther. 2006;318(2):521–9. PubMed
Eechoute K, Franke RM, Loos WJ, Scherkenbach LA, Boere I, Verweij J, et al. Environmental and genetic factors affecting transport of imatinib by OATP1A2. Clin Pharmacol Ther. 2011;89(6):816–20. PubMed PMC