2012
DOI: 10.1002/biot.201200188
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Gene network analysis leads to functional validation of pathways linked to cancer cell growth and survival

Abstract: Hepatocellular carcinoma (HCC) represents one of the most frequently diagnosed human cancers; however, there are currently few treatment alternatives to surgical resection. In this study we performed bioinformatic analysis of previously published transcriptomic data in order to characterize liver specific networks, including biological functions, signaling pathways and transcription factors, potentially dysregulated in HCC. By incorporating specific signaling inhibitors into real-time proliferation assays usin… Show more

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Cited by 14 publications
(21 citation statements)
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“…We previously developed a comparative analysis of gene dataset enrichment in order to identify signaling pathways significantly enriched in selected phenotypes. For example, we identified pathways related to adiponectin signaling in cancer cells [ 13 ], cell proliferation, and/or survival as well as the pathways involved in glucose signaling and specifically dysregulated in hepatocellular carcinoma [ 14 , 15 ]. Several of the merged pathways have been further experimentally validated, and most of them correspond to previously published data.…”
Section: Resultsmentioning
confidence: 99%
“…We previously developed a comparative analysis of gene dataset enrichment in order to identify signaling pathways significantly enriched in selected phenotypes. For example, we identified pathways related to adiponectin signaling in cancer cells [ 13 ], cell proliferation, and/or survival as well as the pathways involved in glucose signaling and specifically dysregulated in hepatocellular carcinoma [ 14 , 15 ]. Several of the merged pathways have been further experimentally validated, and most of them correspond to previously published data.…”
Section: Resultsmentioning
confidence: 99%
“…Some of the targets are known oncoproteins, which includes EGFR [99], VEGFA [100], ZBTB7 (POKEMON) [101], acid phosphatase 2(ACP2) [102] and NFKB1 [103]. Additionally, proteins that are overexpressed in cancer cells are among the targets of down-regulated miRNAs in different treatment conditions, which includes Wnt3A [104], PPARα [105], UCP2 [106], CSF1 [107], and MED1 [108]. …”
Section: Resultsmentioning
confidence: 99%
“…In a previous study, this method has been extensively depicted and led to characterize hepatocellular cancer cell phenotype in comparison to healthy liver. 29 In the present study, we raised a list of genes representative of human adipocyte lineage, called «human adipose» gene set ( Table 1), which is a result of gene sets representative of human adipose-derived stem cells (hASC gene set), human adipose cell differentiated in vitro (hdA, Differentiating gene set) and adipose tissues (TA gene set), respectively, i.e., genes specifically detected in comparison to non-adipose cell types. Cumulative data obtained in mouse were also retrieved, leading to «Mouse adipose» gene set.…”
Section: Resultsmentioning
confidence: 99%
“…Human liver gene set was obtained in a previous study. 29 KEGG pathways gene number counts 69 were performed to raise gene datasets representative of either phenotypes or data sets (Supplementary Data 2).…”
Section: Bio-informatic Analysesmentioning
confidence: 99%
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