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Tumor Biology
Published in: Tumor Biology 10/2016

01-10-2016 | Original Article

Systemic transcriptome analysis of hepatocellular carcinoma

Authors: Cheng-Bo Yu, Li-Yao Zhu, Yu-Gang Wang, Fen Li, Xiao-Yu Zhang, Wei-Jie Dai

Published in: Tumor Biology | Issue 10/2016

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Abstract

Liver cancer is one of the most common malignant tumors, and most of which is hepatocellular carcinoma (HCC). We aim to study the characteristic changes of numerous genes and their roles in HCC through systematical analysis of the characteristics of expression spectrum of HCC. Firstly, we made systematic clustering of the HCC samples according to the RNAseq data from TCGA (The Cancer Genome Atlas) and newly classified HCC. Then the characteristic genes in different molecular subtypes were found out and further analyzed combing with methylation and SNP 6.0 chip. Finally, these genes were subjected to do functional annotation and abnormal signaling pathways of HCC in various molecular subtypes and were screened out. There were 3843 differential genes screened; among which, 689 genes were enriched into 13 KEGG-related pathways, and the expression of 27 and 924 genes showed positive and negative correlation to methylation level, respectively, while the expression of 43 genes showed positive correlation to variation level of copy number. The methylation degree of ZSCAN18 may be considered as a marker for prognosis evaluation, and ABHD6 could be a potential anti-oncogene.
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Metadata
Title
Systemic transcriptome analysis of hepatocellular carcinoma
Authors
Cheng-Bo Yu
Li-Yao Zhu
Yu-Gang Wang
Fen Li
Xiao-Yu Zhang
Wei-Jie Dai
Publication date
01-10-2016
Publisher
Springer Netherlands
Published in
Tumor Biology / Issue 10/2016
Print ISSN: 1010-4283
Electronic ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-016-5286-5

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