This tab shows an overview of the selected study/paper [more details]
Reference

Integrated analysis of somatic mutations and focal copy-number changes identifies key genes and pathways in hepatocellular carcinoma.

Paper Id
COSP28736
Authors
Guichard C,Amaddeo G,Imbeaud S,Ladeiro Y,Pelletier L,Maad IB,Calderaro J,Bioulac-Sage P,Letexier M,Degos F,Clément B,Balabaud C,Chevet E,Laurent A,Couchy G,Letouzé E,Calvo F and Zucman-Rossi J
Affiliation
1] Institut National de la Santé et de la Recherche Médicale (INSERM), Unité Mixte de Recherche (UMR)-674, Génomique Fonctionnelle des Tumeurs Solides, Institut Universitaire d'Hematologie (IUH), Paris, France. [2] Université Paris Descartes, Labex Immuno-oncology, Sorbonne Paris Cité, Faculté de Médecine, Paris, France. [3].
Journal
Nature genetics 2012;44(6):694-8
ISSN:1546-1718
PUBMED:22561517
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. Here, we performed high-resolution copy-number analysis on 125 HCC tumors and whole-exome sequencing on 24 of these tumors. We identified 135 homozygous deletions and 994 somatic mutations of genes with predicted functional consequences. We found new recurrent alterations in four genes (ARID1A, RPS6KA3, NFE2L2 and IRF2) not previously described in HCC. Functional analyses showed tumor suppressor properties for IRF2, whose inactivation, exclusively found in hepatitis B virus (HBV)-related tumors, led to impaired TP53 function. In contrast, inactivation of chromatin remodelers was frequent and predominant in alcohol-related tumors. Moreover, association of mutations in specific genes (RPS6KA3-AXIN1 and NFE2L2-CTNNB1) suggested that Wnt/β-catenin signaling might cooperate in liver carcinogenesis with both oxidative stress metabolism and Ras/mitogen-activated protein kinase (MAPK) pathways. This study provides insight into the somatic mutational landscape in HCC and identifies interactions between mutations in oncogene and tumor suppressor gene mutations related to specific risk factors.
Paper Status
Curated
Genes Analysed
1028
Mutated Samples
94
Total No. of Samples
94
This tab shows genes with mutations in the selected study/paper [more details]
Genes Samples CDS Mutation AA Mutation
This tab shows genes without mutations in the selected study/paper [more details]
Non-Mutant Genes Gene Id (COSG)
This tab shows samples without mutations in the selected study/paper [more details]
Non-Mutant Samples Sample Id (COSS)
This tab shows mutated samples in the selected study/paper [more details]
Sample Name Mutation Count
This tab shows non coding variant in the selected study/paper [more details]
Sample ID Sample Name ID NCV Annotation Zygosity Chromosome Genome start Genome stop Genome version Strand WT seq Mut seq
This tab shows the copy number variation data for this study. Only variants (classified as gain or loss) are listed. [more details]
CNV Gene Sample Position Minor Allele Copy Number Average Ploidy

1. N/A represents cases where average ploidy value is not available( mostly ICGC samples). For some TCGA samples where minor allele information is not available the average ploidy value could not be calculated.

2. For TCGA samples, Ascat algorithm is used to calculate the average ploidy.

3. For CGP samples, Picnic algorithm is used to calculate the average ploidy.

Type
This tab shows a table of count of samples having gain or loss for all genes [more details]
Gene Gain Samples Loss Samples Samples Tested
This tab shows the fusion mutations observed in this sample [more details]
Gene Sample Name Id Sample(COSS) CDS Mutation Somatic status Zygosity Validated Type