This section shows a general overview of information for the selected study (COSU identifier) or publication (COSP identifier). Studies may have been performed by the Sanger Institute Cancer Genome Project, or imported from the ICGC/TCGA. You can see more information on the help pages.
- Exome sequencing of hepatitis B virus-associated hepatocellular carcinoma.
- Paper ID
- 1] Human Genome Center of Rui-Jin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.  Shanghai Ministry of Science and Technology (MOST) Key Laboratory for Disease and Health Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China.  National Engineering Center for Biochip at Shanghai, Shanghai, China.  Shenzhen Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Shenzhen Third People's Hospital, Guangdong Medical College, Shenzhen, China. .
Nature genetics, 2012
PMID: 22922871 (view at PubMed or Europe PMC)
- Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide and shows a propensity to metastasize and infiltrate adjacent and more distant tissues. HCC is associated with multiple risk factors, including hepatitis B virus (HBV) infection, which is especially prevalent in China. Here, we used exome sequencing to identify somatic mutations in ten HBV-positive individuals with HCC with portal vein tumor thromboses (PVTTs), intrahepatic metastases. Both C:G>A:T and T:A>A:T transversions were frequently found among the 331 non-silent mutations. Notably, ARID1A, which encodes a component of the SWI/SNF chromatin remodeling complex, was mutated in 14 of 110 (13%) HBV-associated HCC specimens. We used RNA interference to assess the roles of 91 of the confirmed mutated genes in cellular survival. The results suggest that seven of these genes, including VCAM1 and CDK14, may confer growth and infiltration capacity to HCC cells. This study provides a view of the landscape of somatic mutations that may be implicated in advanced HCC.
- Paper Status
- Genes Analysed
- Mutated Samples
- Total No. of Samples