Literature DB >> 23532688

Comparison of hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and combined HCC-CC (CHC) with each other based on microarray dataset.

Lishan Wang1.   

Abstract

Liver carcinomas have been classified into three types: hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and combined HCC-CC (CHC). We aim to find the common and different characteristic of these three types of liver cancer. The gene expression profiling of HCC, CC, and CHC were compared with each other, and enrichment pathways and processes in these three liver cancers were also identified. Using GSE15765 datasets downloaded from NCBI GEO database, the gene expression profiling of HCC, CC, and CHC were compared with each other (HCC compared with CC, HCC compared with CHC, and CC compared with HCC). Then, the differentially expressed genes (DEGs) were identified in these three groups respectively, and three PPI networks were constructed for DEGs in each group. Subsequently, the clusters in these networks were identified and further analyzed by ClusterONE and MCODE. Finally, gene set enrichment analysis enrichment analysis was performed to illustrate altered pathways and processes for each type of liver cancer. A total of 112, 530, and 64 DEGs were identified in three groups, respectively, and three PPI networks were constructed respectively for the corresponding group. Through the cluster analysis, we found some new differential marker genes for distinguishing the difference between these three types of liver cancer. We also indicated that we can distinguish HCC with CC through altered pathways and processes. Our findings develop new biomarkers for categorizing the primary liver cancer and may improve patient prognosis of these cancers. However, further validation is required since our results were based on microarray data derived from a small sample size.

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Year:  2013        PMID: 23532688     DOI: 10.1007/s13277-013-0702-6

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  25 in total

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Journal:  Cancer Res       Date:  2006-10-01       Impact factor: 12.701

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  6 in total

1.  Differentially expressed gene profiles of intrahepatic cholangiocarcinoma, hepatocellular carcinoma, and combined hepatocellular-cholangiocarcinoma by integrated microarray analysis.

Authors:  Tong-Chun Xue; Bo-Heng Zhang; Sheng-Long Ye; Zheng-Gang Ren
Journal:  Tumour Biol       Date:  2015-02-26

2.  Identification of GRB2 and GAB1 coexpression as an unfavorable prognostic factor for hepatocellular carcinoma by a combination of expression profile and network analysis.

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Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

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4.  Identification of hub genes and pathways associated with hepatocellular carcinoma based on network strategy.

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5.  Prediction and analysis of weighted genes in hepatocellular carcinoma using bioinformatics analysis.

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6.  Subclassification and Detection of New Markers for the Discrimination of Primary Liver Tumors by Gene Expression Analysis Using Oligonucleotide Arrays.

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  6 in total

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