TY - JOUR
AU - 
AB - 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, a11111 DNA methylation, mRNA, and miRNA data with the developed ªcluster of clusterº method and classified 256 HCC samples from TCGA (The Cancer Genome Atlas) into five major subgroups (S1-S5). We observed that this classification was associated with specific muta- tions and protein expression, and we detected that each subgroup had distinct molecular signatures. The subclasses were associated not only with survival but also with clinical observations. S1 was characterized by bulk amplification on 8q24, TP53 mutation, low lipid OPENACCESS metabolism, highly expressed onco-proteins, attenuated tumor suppressor proteins and a Citation: Liu G, Dong C, Liu L (2016) Integrated worse survival rate. S2 and S3 were characterized by telomere hypomethylation and a low Multiple ª-omicsº Data Reveal Subtypes of expression of TERT and DNMT1/3B. Compared to S2, S3 was associated with less copy Hepatocellular Carcinoma. PLoS ONE 11(11): e0165457. doi:10.1371/journal.pone.0165457 number variation and some good prognosis biomarkers, including CRP and CYP2E1. In contrast, the mutation rate of CTNNB1 was higher in S3. S4 was associated with bulk Editor: Yu-Jia Chang, Taipei Medical 
TI - Integrated Multiple “-omics” Data Reveal Subtypes of Hepatocellular Carcinoma
JF - PLoS ONE
DO - 10.1371/journal.pone.0165457
DA - 2016-11-02
UR - https://www.deepdyve.com/lp/unpaywall/integrated-multiple-omics-data-reveal-subtypes-of-hepatocellular-5G8v6jlN0v
DP - DeepDyve
ER -