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Expression data from cirrhosis and HCC tissue samples

ABSTRACT: Hepatocellular carcinoma (HCC) is the fifth most-common cancer worldwide causing nearly 600,000 deaths esch year. Approximately 80% of HCC develops on the background of cirrhosis.It is necessary to identify novel genes involved in HCC to implement new diagnostic and treatment options. However, the molecular pathogenesis of HCC largely remains unsolved. Only a few genetic alterations, namely those affecting p53, β-catenin and p16INK4a have been implicated at moderate frequencies of these cancers. Early detection of HCC with appropriate treatment can decrease tumor-related deaths We used microarrays to detail the global programme of gene expression profiles of cirrhosis and tumor liver samples. 15 cirrhosis and 15 HCC samples were collected with informed constent of each patient. Surgically resected tissues were snap frozen in liquid nitrogen and stored at -80C, and subjected to RNA extraction. Histology slides were prepared for all samples and scored by an experienced scientist. For the tumor samples, tissues were resected from inside the tumor, while tissues were resected from adjacent tissue sorrounding the tumor for non-tumor samples.

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PROVIDER: S-DIXA-D-1040 | biostudies-other |

REPOSITORIES: biostudies-other

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Expression data from cirrhosis and HCC tissue samples

2013-05-23 | GSE17548 | GEO

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HCC: RNA-Sequencing in Cirrhosis.

Project description:Hepatocellular carcinoma (HCC) ranks the most common types of cancer worldwide. As the fourth leading cause of cancer-related deaths, its prognosis remains poor. Most patients developed HCC on the basis of chronic liver disease. Cirrhosis is an important precancerous lesion for HCC. However, the molecular mechanisms in HCC development are still unclear. To explore the changes at the level of transcriptome in this process, we performed RNA-sequencing on cirrhosis, HCC and paracancerous tissues. Continuously changing mRNA was identified using Mfuzz cluster analysis, then their functions were explored by enrichment analyses. Data of cirrhotic HCC patients were obtained from TCGA, and a fatty acid metabolism (FAM)-related prognostic signature was then established. The performance and immunity relevance of the signature were verified in internal and external datasets. Finally, we validated the expression and function of ADH1C by experiments. As a result, 2012 differently expressed mRNA were identified by RNA-sequencing and bioinformatics analyses. Fatty acid metabolism was identified as a critical pathway by enrichment analyses of the DEGs. A FAM-related prognostic model and nomogram based on it were efficient in predicting the prognosis of cirrhotic HCC patients, as patients with higher risk scores had shorter survival time. Risk scores calculated by the signature were then proved to be associated with a tumor immune environment. ADH1C were downregulated in HCC, while silence of ADH1C could significantly promote proliferation and motility of the HCC cell line.

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Expression data from human hepatocellular carcinoma (HCC), Cirrhosis, and non-tumor liver tissues.

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In silico estimates of tissue components in surgical samples based on expression profiling data.

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