Integrated Multiple "-omics" Data Reveal Subtypes of Hepatocellular Carcinoma

Hepatocellular carcinoma is one of the most heterogeneous cancers, as reflected by its multiple grades and difficulty to subtype. In this study, we integrated copy number variation, DNA methylation, mRNA, and miRNA data with the developed "cluster of cluster" method and classified 256 HCC...

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Veröffentlicht in:	PloS one 2016-11, Vol.11 (11), p.e0165457-e0165457
Hauptverfasser:	Liu, Gang, Dong, Chuanpeng, Liu, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Amplification Bioindicators Biology and life sciences Biomarkers Biomarkers, Tumor - genetics Cancer genetics Carcinoma, Hepatocellular - classification Carcinoma, Hepatocellular - genetics Classification Cluster Analysis Clusters Copy number Deoxyribonucleic acid DNA DNA Copy Number Variations DNA Methylation DNMT1 protein Female Gene expression Gene Expression Profiling - methods Gene Expression Regulation, Neoplastic Genetic aspects Genomes Genomics - methods Hepatitis Hepatocellular carcinoma Humans Lipid metabolism Liver cancer Liver Neoplasms - classification Liver Neoplasms - genetics Male Medical prognosis Medicine and Health Sciences Metabolism Methylation MicroRNA MicroRNAs MicroRNAs - genetics miRNA mRNA Mutation p53 Protein Pathogenesis Physiological aspects Protein expression Proteins RNA, Messenger - genetics Standard deviation Studies Subgroups Survival Survival Analysis Systematic review Telomeres Tumor proteins Tumor suppressor genes
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