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Metformin pharmacogenomics: a genome-wide association study to identify genetic and epigenetic biomarkers involved in metformin anticancer response using human lymphoblastoid cell lines.
Niu, Nifang; Liu, Tongzheng; Cairns, Junmei; Ly, Reynold C; Tan, Xianglin; Deng, Min; Fridley, Brooke L; Kalari, Krishna R; Abo, Ryan P; Jenkins, Gregory; Batzler, Anthony; Carlson, Erin E; Barman, Poulami; Moran, Sebastian; Heyn, Holger; Esteller, Manel; Wang, Liewei.
Afiliação
  • Niu N; Division of Clinical Pharmacology, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Liu T; Division of Oncology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Cairns J; Division of Clinical Pharmacology, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Ly RC; Division of Clinical Pharmacology, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Tan X; UMDNJ/The Cancer Institute of New Jersey, New Brunswick, NJ, USA.
  • Deng M; Division of Oncology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Fridley BL; University of Kansas Medical Center, Kansas City, Kansas City, KS, USA.
  • Kalari KR; Division of Biostatistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Abo RP; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Jenkins G; Division of Biostatistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Batzler A; Division of Biostatistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Carlson EE; Division of Biostatistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Barman P; Division of Biostatistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Moran S; Bellvitge Biomedical Research Institute (IDIBELL), L Hospitalet de Llobregat, Barcelona, Spain.
  • Heyn H; Bellvitge Biomedical Research Institute (IDIBELL), L Hospitalet de Llobregat, Barcelona, Spain.
  • Esteller M; Bellvitge Biomedical Research Institute (IDIBELL), L Hospitalet de Llobregat, Barcelona, Spain.
  • Wang L; Institucio Catalana de Recerca i Estudis Avançats, Barcelona, Catalonia, Spain
Hum Mol Genet ; 25(21): 4819-4834, 2016 11 01.
Article em En | MEDLINE | ID: mdl-28173075
ABSTRACT
Metformin is currently considered as a promising anticancer agent in addition to its anti-diabetic effect. To better individualize metformin therapy and explore novel molecular mechanisms in cancer treatment, we conducted a pharmacogenomic study using 266 lymphoblastoid cell lines (LCLs). Metformin cytotoxicity assay was performed using the MTS assay. Genome-wide association (GWA) analyses were performed in LCLs using 1.3 million SNPs, 485k DNA methylation probes, 54k mRNA expression probe sets, and metformin cytotoxicity (IC50s). Top candidate genes were functionally validated using siRNA screening, followed by MTS assay in breast cancer cell lines. Further study of one top candidate, STUB1, was performed to elucidate the mechanisms by which STUB1 might contribute to metformin action. GWA analyses in LCLs identified 198 mRNA expression probe sets, 12 SNP loci, and 5 DNA methylation loci associated with metformin IC50 with P-values <10−4 or <10−5. Integrated SNP/methylation loci-expression-IC50 analyses found 3 SNP loci or 5 DNA methylation loci associated with metformin IC50 through trans-regulation of expression of 11 or 26 genes with P-value <10−4. Functional validation of top 61 candidate genes in 4 IPA networks indicated down regulation of 14 genes significantly altered metformin sensitivity in two breast cancer cell lines. Mechanistic studies revealed that the E3 ubiquitin ligase, STUB1, could influence metformin response by facilitating proteasome-mediated degradation of cyclin A. GWAS using a genomic data-enriched LCL model system, together with functional and mechanistic studies using cancer cell lines, help us to identify novel genetic and epigenetic biomarkers involved in metformin anticancer response.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metformina Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Hum Mol Genet Assunto da revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metformina Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Hum Mol Genet Assunto da revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos