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Comparative and integrative analysis of transcriptomic and epigenomic-wide DNA methylation changes in African American prostate cancer.
Creighton, Chad J; Zhang, Flora; Zhang, Yiqun; Castro, Patricia; Hu, Rong; Islam, Md; Ghosh, Somiranjan; Ittmann, Michael; Kwabi-Addo, Bernard.
Afiliação
  • Creighton CJ; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
  • Zhang F; Center for Women's Studies, Colgate University, Hamilton, New York, USA.
  • Zhang Y; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
  • Castro P; Department of Pathology and Immunology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
  • Hu R; Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA.
  • Islam M; Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA.
  • Ghosh S; Department of Biology, Howard University, Washington, Columbia, USA.
  • Ittmann M; Department of Pathology and Immunology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
  • Kwabi-Addo B; Department of Biochemistry and Molecular Biology, Howard University, Washington, Columbia, USA.
Epigenetics ; 18(1): 2180585, 2023 12.
Article em En | MEDLINE | ID: mdl-37279148
African American (AA) men have the highest incidence and mortality rate from Prostate cancer (PCa) than any other racial/ethnic group. To date, PCa genomic studies have largely under-represented tumour samples from AA men. We measured genome-wide DNA methylation in benign and tumor prostate tissues from AA men using the Illumina Infunium 850 K EPIC array. mRNA expression database from a subset of the AA biospecimen were used to assess correlation of transcriptome and methylation datasets. Genome-wide methylation analysis identified 11,460 probes that were significant (p < 0.01) and differentially methylated in AA PCa compared to normal prostate tissues and showed significant (p < 0.01) inverse-correlation with mRNA expression. Ingenuity pathway analysis and Gene Ontology analysis in our AA dataset compared with TCGA dataset showed similarities in methylation patterns: top candidate genes with significant hypermethylation and corresponding down-regulated gene expression were associated with biological pathways in hemidesmosome assembly, mammary gland development, epidermis development, hormone biosynthesis, and cell communication. In addition, top candidate genes with significant hypomethylation and corresponding up-regulated gene expression were associated with biological pathways in macrophage differentiation, cAMP-dependent protein kinase activity, protein destabilization, transcription co-repression, and fatty acid biosynthesis. In contrast, differences in genome-wide methylation in our AA dataset compared with TCGA dataset were enriched for genes in steroid signalling, immune signalling, chromatin structure remodelling and RNA processing. Overall, differential methylation of AMIGO3, IER3, UPB1, GRM7, TFAP2C, TOX2, PLSCR2, ZNF292, ESR2, MIXL1, BOLL, and FGF6 were significant and uniquely associated with PCa progression in our AA cohort.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Metilação de DNA Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Metilação de DNA Idioma: En Ano de publicação: 2023 Tipo de documento: Article