We have performed an integrative analysis of DNA copy numbers and gene expression profiles in hepatocellular carcinoma (HCC) in an attempt to uncover most provable genomic regions of concomitant copy number and transcription alterations. Unbiased screening of these regions identifies 50 potential driver genes with significant prognostic relevance.Our integrative analyses of genomic data also identified novel potential driver genes for HCC development including NCSTN and SCRIB. Particularly, NCSTN, encoding Type I transmembrane glycoprotein, has never been known to be associated with cancers. SCRIB has recently been reported to be associated with human cancers, but its oncogenic role has not been fully studied yet. Moreover, our analysis provided a novel notion i.e. a connection of EGFR, AMPK, and mTOR with the 50 genes. Recently, HSF1, one of the 50 genes, was reported to have oncogenic potential, and which function is mediated by mTOR and EGFR signaling. Similarly, we also demonstrated that the oncogenic activity of NCSTN and SCRIB is possibly mediated via the mTOR pathway. From these results, we postulate the existence of a multifaceted association of the 50 driver genes with three signaling pathways in cancer progression, although further elucidation will be necessary. We conclude our data demonstrate that a systems-level integrative analysis of genome scale data independently collected from a small group of patients provide a striking advantage for identifying genes likely to drive neoplastic development in the liver, and provides new biological and clinical insights for the development of novel treatment modalities. To decode the molecular events during early stages of liver carcinogenesis, we performed gene expression profiling on cirrhotic (regenerative) and dysplastic nodules as well as early HCC. Although considerable heterogeneity was observed at the regenerative and dysplastic stages, a clear difference was detected between dysplastic nodules and eHCC which included 460 differentially expressed genes. Functional analysis of the significant gene set identified the MYC oncogene as a plausible driver gene for malignant conversion of the dysplastic nodules. In addition, gene set enrichment analysis (GSEA) revealed a remarkable enrichment of MYC up-regulated gene sets in eHCC versus dysplasia. Presence of the MYC signature significantly correlated with increased expression of CSN5 as well as with the higher overall transcription rate of genes located in the 8q chromosome region. Furthermore, a classifier constructed from MYC target genes could robustly discriminate eHCC from HGDN and LGDN. In conclusion, our study identified unique expression patterns associated with the transition of high-grade dysplastic nodules to early HCC and demonstrated that activation of the MYC transcription signature is critical for the malignant conversion of pre-neoplastic liver lesions. The fifth subunit of COP9 signalosome CSN5 complex targets p53 tumor suppressor for its degradation through the ubiquitin system in coordination with Mdm2. Our recent microarray analysis identified the elevated expression of CSN5 in early HCC as compared to dysplastic stage, implying that CSN5 is one of the early markers of malignant conversion. We have now tested if targeting of CSN5 can affect the course of HCC progression in vitro and in vivo. To inactivate CSN5 gene expression, Huh7 and HepG2 cells were treated with three different siRNAs. The down-regulation of CSN5 in both mRNA and protein level was confirmed by quantitative real-time RT-PCR and Western blotting. Cell growth was analyzed by MTT and FACS analysis, and apoptosis was estimated by ELISA for detection of ssDNA. For in vivo evaluation of CSN5 as a therapeutic target, a bioluminescent Huh7 cell line permanently expressing luciferase was transplanted into the spleen of immunodeficient mice to establish Huh7-luc+ HCC orthotopic xenograft model. Chemically modified CSN5siRNA was systematically delivered to liver through tail vein injection of stable nucleic acid lipid particle (SNALP). Tumor relapses were persistently monitored by bioluminescence imaging, up to 28 days after cell transplantation. Huh7 and HepG2 cells transfected with CSN5-siRNA showed 68% and 77% growth inhibition, respectively, associated with cell-cycle arrest in G1 phase. CSN5-deficient cells also exhibited a 1.8 fold increase in apoptosis as compared with negative control siRNA-treated cells. We also have demonstrated that, when the HCC cells were undergoing apoptotic progression through downregulation of CSN5 protein following the siRNA treatment, the levels of p53, its responder p21 and p27 were restored. CSN5siRNA, a chemically modified variant of CSN5-2siRNA, was selected for in vivo application in terms of growth inhibition of Compared to SNALP-control siRNA treatment, four times injection of SNALP-CSN5siRNA at a dosage of 2 mg/kg effectively suppressed neoplastic growth in the mouse model of metastatic human liver cancer. Taken together, the results suggest that CSN5 is an important regulator of HCC cell growth and survival, and may be an attractive target for treatment of HCC disease. Further, SNALP technology for in vivo delivery of siRNA may be effective in treating human HCC. HCC and ICC are two major primary liver cancers in adults. HCC have enormously heterogeneous phenotypes with dismal outcome, while ICC are more difficult to diagnose and to treat than HCC. In addition, a rare form of combined hepatocellular cholangiocarcinoma (CHC) has been reported to have intermediate characteristics between HCC and ICC. Although HCCs and ICCs are believed to be derived from hepatocytes and cholangiocytes, respectively, the expression of bipotential traits in CHC may suggest the origin from hepatic progenitor cells (HPC). HPC can be identified by coexpression of hepatocytic and cholangiocytic lineage markers (HepPar1 and CK19) as well as hematopoietic stem cell markers (c-kit and CD34). Thus, phenotypic classification of ICC, CHC and HCC may not be evident for tumors co-expressing HPC-like traits. The goal of this project is to characterize the molecular phenotypes of ICC, CHC and HCC by comparing gene expression profiles and clinical features. Current results show that ICC has a more aggressive clinical outcome than HCC, and CHC displays an intermediate expression pattern and clinical outcome closer to ICC than HCC. In addition, we identified a novel HCC subtype, ICC-like HCC (CLHCC), which expressed ICC-like traits (ICC signature) including KRT19, TACSTD1 and PROM1. The expression of ICC signature in HCC was strongly associated with HCC prognosis. Moreover, the ICC signature-expressing HCCs concomitantly expressed the embryonic stem cell-like expression traits (ES signatures), suggesting derivation from the bipotent hepatic progenitor cells. The prognostic value of the ICC signature was independent from ES-like, hepatoblast-like, or proliferation-related gene expression traits. Furthermore, the combined CC and ES signature was a strong determinant of the clinical outcome of HCC, indicating their cellular origins from different developmental stages. The data suggest that the attainment of ICC-like-expression traits plays a critical role in the progression and clinical outcomes of liver cancer. Our future course includes (i) expanding the ICC database in LEC and comprehensive transcriptomic classification of ICC tumors;(ii) detailed analysis of the stromal-epithelial interactions (using laser micro-dissec [summary truncated at 7800 characters]

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIABC011173-01
Application #
7966159
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
2009
Total Cost
$813,986
Indirect Cost
Name
National Cancer Institute Division of Basic Sciences
Department
Type
DUNS #
City
State
Country
Zip Code
Staib, Frank; Krupp, Markus; Maass, Thorsten et al. (2014) CellMinerHCC: a microarray-based expression database for hepatocellular carcinoma cell lines. Liver Int 34:621-31
Marquardt, Jens U; Thorgeirsson, Snorri S (2014) SnapShot: Hepatocellular carcinoma. Cancer Cell 25:550.e1
Marquardt, Jens U; Thorgeirsson, Snorri S (2014) Next-generation genomic profiling of hepatocellular adenomas: a new era of individualized patient care. Cancer Cell 25:409-11
Andersen, Jesper B; Thorgeirsson, Snorri S (2014) A perspective on molecular therapy in cholangiocarcinoma: present status and future directions. Hepat Oncol 1:143-157
Marquardt, Jens U; Seo, Daekwan; Andersen, Jesper B et al. (2014) Sequential transcriptome analysis of human liver cancer indicates late stage acquisition of malignant traits. J Hepatol 60:346-353
Matter, Matthias S; Decaens, Thomas; Andersen, Jesper B et al. (2014) Targeting the mTOR pathway in hepatocellular carcinoma: current state and future trends. J Hepatol 60:855-65
Jia, Jinping; Parikh, Hemang; Xiao, Wenming et al. (2013) An integrated transcriptome and epigenome analysis identifies a novel candidate gene for pancreatic cancer. BMC Med Genomics 6:33
Marquardt, Jens U; Fischer, Kerstin; Baus, Katharina et al. (2013) Sirtuin-6-dependent genetic and epigenetic alterations are associated with poor clinical outcome in hepatocellular carcinoma patients. Hepatology 58:1054-64
Marquardt, Jens U; Thorgeirsson, Snorri S (2013) Sall4 in ""stemness""-driven hepatocarcinogenesis. N Engl J Med 368:2316-8
Kwon, So Mee; Kim, Dong-Sik; Won, Nam Hee et al. (2013) Genomic copy number alterations with transcriptional deregulation at 6p identify an aggressive HCC phenotype. Carcinogenesis 34:1543-50

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