E-TABM-36 - Transcription profiling of 57 hepato cellular carcinoma tumoral samples, 3 hepatocellular adenomas, 5 non-tumoral pools

Released on 26 March 2007, last updated on 2 May 2014
Homo sapiens
Samples (65)
Array (1)
Protocols (8)
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.
Experiment types
transcription profiling by array, disease state
Fabien Petel <PetelF@ligue-cancer.net>, Aurélien de Reyniès, Charles Balabaud, David Rickman, Dominique Franco, Emmanuelle Jeannot, Jacques Belghiti, Jean Saric, Jessica Zucman-Rossi, Paulette Bioulac-Sage, Pierre Laurent-Puig, Sandra Rebouissou, Sandrine Boyault
Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma. Kim SM, Leem SH, Chu IS, Park YY, Kim SC, Kim SB, Park ES, Lim JY, Heo J, Kim YJ, Kim DG, Kaseb A, Park YN, Wang XW, Thorgeirsson SS, Lee JS. :1443-1452 (2012), Europe PMC 22105560
Transcriptome classification of HCC is related to gene alterations and to new therapeutic targets. Boyault S, Rickman DS, de Reynies A, Balabaud C, Rebouissou S, Jeannot E, Herault A, Saric J, Belghiti J, Franco D, Bioulac-Sage P, Laurent-Puig P, Zucman-Rossi J.
Investigation descriptionE-TABM-36.idf.txt
Sample and data relationshipE-TABM-36.sdrf.txt
Raw data (2)E-TABM-36.raw.1.zip, E-TABM-36.raw.2.zip
Processed data (1)E-TABM-36.processed.1.zip
Array designA-AFFY-33.adf.txt