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Tumor-derived cell lines as pharmacogenomic models to predict therapeutic vulnerabilities in hepatocellular carcinoma

ABSTRACT: Hepatocellular carcinoma (HCC) is a heterogeneous aggressive malignancy with low efficacy of current therapies at advanced stages. We integrated molecular and pharmacological profiling of a large panel of liver cancer cell lines (LCCL) to assess their clinical relevance as HCC preclinical models and identify new effective therapies and biomarkers of response. We performed multi-omic analysis including whole-exome, RNA and miRNA sequencing and quantification of 126 proteins in a series 34 LCCL coupled with a screening of 29 anti-cancer agents. Molecular profiles of LCCL and primary HCC were compared and we searched for molecular features associated with drug response. Our panel of LCCL faithfully recapitulated the most aggressive molecular "proliferation class" of HCC. Genomic alterations of the RAS-MAPK pathway correlated with trametinib sensitivity that was more potent than FGFR4 inhibitors in tumor cells depending on the FGF19/FGFR4 pathway. Moreover, we showed that FGF19 amplification was only functional in tumor cells that retained a hepatocyte differentiation program with expression of FGFR4, KLB and NR1H4 highlighting the complex interplay between the genomic and transcriptomic context in drug response. We also identified drugs/combination that could target efficiently the transcriptomic "progenitor subclass of HCC", as well as specific genetic contexts such as inactivating mutations in TSC1/TSC2 and TP53 associated with higher sensitivity to the mTOR inhibitor rapamycin and the AURKA inhibitor alisertib, respectively. LCCL represent relevant preclinical models for drug-biomarker discovery in HCC and enabled to identify molecular contexts linked with particular therapeutic vulnerabilities that may be useful to stratify patients in future clinical trials

PROVIDER: EGAS00001003536 | EGA |

REPOSITORIES: EGA

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Project description:Sorafenib, an oral multikinase inhibitor, is the only approved agent for the treatment of advanced hepatocellular carcinoma (HCC). However, its benefits is modest, also because its mechanism of action remains elusive, therefore, a better understanding of its molecular action and molecular targets are needed. On the basis of our previous studies, here, we investigated the role of the nuclear protein 1 (NUPR1) in HCC and its role in the context of sorafenib treatment. NUPR1 is a stress-inducible protein over-expressed in different malignancies, however, its role in HCC is not yet fully understood. We found that NUPR1, is over-expressed in 53% of primary human HCC samples. Knockdown of NUPR1 significantly increased cell sensitivity to sorafenib and inhibits cell growth, migration and invasion of HCC cells in vitro and tumorigenicity in vivo. Moreover, NUPR1 silencing influenced expression of target genes RelB and IER3. Unsurprisingly, RelB and IER3 knockdown also inhibited HCC cells viability, growth and migration. By gene expression profiling of HCC cells following stable NUPR1 knockdown, we found that genes functionally involved in cell death and survival, cellular response to therapies, lipid metabolism, cell growth and proliferation, molecular transport and cellular movement were mostly suppressed. Network analysis of dynamic gene expression identified NF-ÎºB and ERK as down-regulated gene nodes, and several genes known to be involved in hepatocarcinogenesis were also suppressed. In addition, we identified Runt-related transcription factor 2 (RUNX2) gene as a NUPR1 down-regulated gene. We also demonstrated that RUNX2 gene silencing inhibited HCC cells viability, growth, migration and increased cell sensitivity to sorafenib. Conclusion: We propose that NUPR1/RELB/IER3/RUNX2 pathway play pivotal role in hepatocarcinogenesis. The identification of NUPR1/RELB/IER3/RUNX2 pathway as a potential therapeutic target may contribute to the development of new treatment strategies for HCC management. To better understand the molecular mechanisms of NUPR1 gene action in ovarian HCC cells, we employed the Agilent Whole Human Genome microarrays, containing ~ 44,000 genes to identify global gene expression changes upon NUPR1 suppression in HCC cells. We compared the gene expression of the previously selected shRNA-mediated NURP1-knockdown Hep3B clone against the corresponding control (ctrl) clone. The microarray experiments were performed in duplicates, as two hybridizations were carried out for the NUPR1-suppressing cell clone against the corresponding control, using a fluorescent dye reversal (dye-swap) technique.

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Tumor-derived cell lines as pharmacogenomic models to predict therapeutic vulnerabilities in hepatocellular carcinoma

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