Genome-wide pharmacologic unmasking identifies tumor suppressive microRNAs in multiple myeloma

• Main Authors: Bi, C, Chung, T.-H, Huang, G, Zhou, J, Yan, J, Ahmann, G.J, Fonseca, R, Chng, W.J
• Other Authors: CANCER SCIENCE INSTITUTE OF SINGAPORE
• Format: Article
• Published: 2020
• Subjects: microRNA; microRNA 125a 3p; microRNA 135a; microRNA 155; microRNA 188 5p; microRNA 198; microRNA 200c; microRNA 483 5p; microRNA 630; microRNA 663; unclassified drug; DNA methyltransferase; enzyme inhibitor; tumor marker; Article; cancer survival; cell proliferation; cell viability; colony formation; controlled study; CpG island; DNA methylation; epigenetics; gene expression; human; human cell; migration inhibition; multiple myeloma; RNA analysis; antagonists and inhibitors; biology; cell motion; DNA microarray; drug effects; gene expression profiling; gene expression regulation; gene silencing; genetic predisposition; genetics; genome-wide association study; metabolism; mortality; pathology; phenotype; procedures; proportional hazards model; tumor cell line; Biomarkers, Tumor; Cell Line, Tumor; Cell Movement; Cell Proliferation; Computational Biology; DNA Methylation; DNA Modification Methylases; Enzyme Inhibitors; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Gene Silencing; Genetic Predisposition to Disease; Genome-Wide Association Study; Humans; MicroRNAs; Multiple Myeloma; Oligonucleotide Array Sequence Analysis; Phenotype; Proportional Hazards Models
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/174136
• Institution: National University of Singapore

10.18632/oncotarget.4769