Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of 57 hepato cellular carcinoma tumoral samples, 3 hepatocellular adenomas, 5 non-tumoral pools

ABSTRACT: A ""Cartes d'Identite des Tumeurs"" (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net). 65 samples on Affymetrix HG-U133A GeneChips arrays (57 tumoral samples, 3 hepatocellular adenomas, 5 non-tumoral pools). Identification of six subgroups of Hepatocellular carcinoma (HCC) closely associated with clinical and genetic annotations (esp. risk factors and genetic alterations). Identification of a 16-gene diagnostic predictor of class membership, as well as a 5-gene signature predicting patient prognosis irrespective of HCC sub-group and which outperforms common clinical prognostic markers. Validation of both gene signatures in an independent set of 63 HCC.

ORGANISM(S): Homo sapiens

DISEASE(S): "hepatocellular adenoma"

SUBMITTER: Emmanuelle Jeannot 

PROVIDER: E-TABM-36 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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<h4>Unlabelled</h4>Clinical application of the prognostic gene expression signature has been delayed due to the large number of genes and complexity of prediction algorithms. In the current study we aimed to develop an easy-to-use risk score with a limited number of genes that can robustly predict prognosis of patients with hepatocellular carcinoma (HCC). The risk score was developed using Cox coefficient values of 65 genes in the training set (n = 139) and its robustness was validated in test s  ...[more]

PMID: 22105560

Publication: 1/2

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