| Experiment ID | EXP00294 |
| Reference | Title: Comprehensive analysis of transcriptome and metabolome analysis in IntrahepaticCholangiocarcinoma and Hepatocellular Carcinoma. Author: Murakami Y, Kubo S, Tamori A, Itami S, Kawamura E, Iwaisako K, Ikeda K, Kawada N, Ochiya T, Taguchi YH. Journal: Sci Rep. 2015 Nov 5;5:16294. doi: 10.1038/srep16294. Abstract: Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) areliver originated malignant tumors. Of the two, ICC has the worse prognosisbecause it has no reliable diagnostic markers and its carcinogenic mechanism isnot fully understood. The aim of this study was to integrate metabolomics andtranscriptomics datasets to identify variances if any in the carcinogenicmechanism of ICC and HCC. Ten ICC and 6 HCC who were resected surgically, wereenrolled. miRNA and mRNA expression analysis were performed by microarray on ICC and HCC and their corresponding non-tumor tissues (ICC_NT and HCC_NT). Compoundanalysis was performed using capillary electrophoresis time-of-flight massspectrometry (CE-TOFMS). Principle component analysis (PCA) revealed that amongthe four sample groups (ICC, ICC_NT, HCC, and HCC_NT) there were 14 compounds, 62mRNAs and 17 miRNAs with two distinct patterns: tumor and non-tumor, and ICC and non-ICC. We accurately (84.38%) distinguished ICC by the distinct pattern of its compounds. Pathway analysis using transcriptome and metabolome showed thatseveral pathways varied between tumor and non-tumor samples. Based on the resultsof the PCA, we believe that ICC and HCC have different carcinogenic mechanismtherefore knowing the specific profile of genes and compounds can be useful indiagnosing ICC. PMID: 26538415 |
| Expressiion Profile | Description: mRNA/microRNA expression profiles of HCC or CCC patients' liver, together with those of non-tumor part tissues Organism: Homo sapiens GEO ID: GSE57555 Platform: GPL18044 Number of samples: 64 |
| Design and Sample | Cancer Type: hepatocellular carcinoma Cancer SubType: N/D Cell Line: N/D Experimental Design: cancer vs normal Case Sample: hepatocellular carcinoma Control Sample: normal liver Num of Case: 5 Num of Control: 16 Quantification Software: Limma Num of miRNAs: 2006 |
| Identification | Num of Up: 11 Num of Down: 0 |