Integrative genomic analysis identifies the core transcriptional hallmarks of human hepatocellular carcinoma Running title: Transcriptional hallmarks of liver cancer

International audienceIntegrative genomics helped characterize molecular heterogeneity in hepatocellular carcinoma (HCC), leading to targeted drug candidates for specific HCC subtypes. However, no consensus was achieved for genes and pathways commonly altered in HCC. Here, we performed a meta-analysis of 15 independent datasets (n = 784 human HCC) and identified a comprehensive signature consisting of 935 genes commonly deregulated in HCC as compared with the surrounding nontumor tissue. In the HCC signature, upregulated genes were linked to early genomic alterations in hepatocarcinogenesis, particularly gains of 1q and 8q. The HCC signature covered well-established cancer hallmarks, such as proliferation, metabolic reprogramming, and microenvironment remodeling, together with specific hallmarks associated with protein turnover and epigenetics. Subsequently, the HCC signature enabled us to assess the efficacy of signature-relevant drug candidates, including histone deacetylase inhibitors that specifically reduced the viability of six human HCC cell lines. Overall, this integrative genomics approach identified cancer hallmarks recurrently altered in human HCC that may be targeted by specific drugs. Combined therapies targeting common and subtype-specific cancer networks may represent a relevant therapeutic strategy in liver cancer. Cancer Res; 76(21); 6374-81. ©2016 AACR

Expression of long non-coding RNA ANRIL predicts a poor prognosis in intrahepatic cholangiocarcinoma

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Uveal melanoma cell lines Mel270 and 92.1 exhibit a mesenchymal phenotype and sensitivity to the cytostatic effects of transforming growth factor beta in vitro

International audiencePurpose: Uveal melanoma (UM) is a deadly cancer with limited therapeutic options. At advanced stages, UM cells metastasize almost exclusively into the liver, where targeting metastatic UM cells remain a clinical challenge. Transforming growth factor beta (TGF-I3) exhibits a functional duality in cancer, with one arm limiting tumor growth at an early stage and the second arm promoting metastasis at an advanced stage, notably by inducing an epithelial-to-mesenchymal transition. Thus, we hypothesized that targeting the TGF-I3 pathway could be relevant in the treatment of metastatic UM. Methods: In this study, we first characterized the pseudoepithelial/mesenchymal phenotype of UM cell lines Mel270 and 92.1. We then treated the cell lines with TGF-I3 to evaluate their responsiveness to the cytokine and to characterize the functional impact of TGF-I3 on their cell viability. Results: The results demonstrated, first, that the UM cell lines exhibited a mesenchymal phenotype and responded to TGF-I3 treatment in vitro and, second, that TGF-I3 promoted a cytostatic effect on the UM cell lines. Conclusions: Our findings indicate that UM cells are sensitive to the two arms of TGF-I3 signaling, which suggests that targeting the TGF-I3 pathway could be challenging in UM and would require a precise selection of patients in which only the prometastatic arm of TGF-I3 is activated

Transcriptomic evidence for tumor-specific beneficial or adverse effects of TGFβ pathway inhibition on the prognosis of patients with liver cancer

International audienceTherapeutic targeting of the transforming growth factor beta (TGFβ) pathway in cancer represents a clinical challenge since TGFβ exhibits either tumor suppressive or tumor promoting properties, depending on the tumor stage. Thus, treatment with galunisertib, a small molecule inhibitor of TGFβ receptor type 1, demonstrated clinical benefits only in subsets of patients. Due to the functional duality of TGFβ in cancer, one can hypothesize that inhibiting this pathway could result in beneficial or adverse effects depending on tumor subtypes. Here, we report distinct gene expression signatures in response to galunisertib in PLC/PRF/5 and SNU-449, two cell lines that recapitulate human hepatocellular carcinoma (HCC) with good and poor prognosis, respectively. More importantly, integrative transcriptomics using independent cohorts of patients with HCC demonstrates that galunisertib-induced transcriptional reprogramming in SNU-449 is associated with human HCC with a better clinical outcome (i.e., increased overall survival), while galunisertib-induced transcriptional reprogramming in PLC/PRF/5 is associated with human HCC with a worse clinical outcome (i.e., reduced overall survival), demonstrating that galunisertib could indeed be beneficial or detrimental depending on HCC subtypes. Collectively, our study highlights the importance of patient selection to demonstrate a clinical benefit of TGFβ pathway inhibition and identifies Serpin Family F Member 2 (SERPINF2) as a putative companion biomarker for galunisertib in HCC

Molecular profiling of stroma highlights stratifin as a novel biomarker of poor prognosis in pancreatic ductal adenocarcinoma

International audienceBackground Pancreatic ductal adenocarcinoma (PDAC) is a deadly cancer worldwide, as a result of a late diagnosis and limited therapeutic options. Tumour microenvironment (or stroma) plays a key role in cancer onset and progression and constitutes an intrinsic histological hallmark of PDAC. Thus we hypothesised that relevant prognostic biomarkers and therapeutic targets can be identified in the stroma. Methods Laser microdissection of the stroma from freshly frozen PDAC was combined to gene expression profiling. Protein expression of candidate biomarkers was evaluated by immunohistochemistry on tissue microarrays (n = 80 tumours) and by ELISA in plasma samples (n = 51 patients). Results A signature made of 1256 genes that significantly discriminate the stroma from the non-tumour fibrous tissue was identified. Upregulated genes were associated with inflammation and metastasis processes and linked to NF-Kappa B and TGF beta pathways. TMA analysis validated an increased expression of SFN, ADAMTS12 and CXCL3 proteins in the stroma of PDAC. Stromal expression of SFN was further identified as an independent prognostic factor of overall (p = 0.003) and disease-free survival (DFS) (p = 0.034). SFN plasma expression was significantly associated with reduced DFS (p = 0.006). Conclusions We demonstrated that gene expression changes within the stroma of PDAC correlate with tumour progression, and we identified Stratifin as a novel independent prognostic biomarker

TGFβ-induced FOXS1 controls epithelial-mesenchymal transition and predicts a poor prognosis in liver cancer

International audienceTransforming growth factor beta (TGFβ) plays a key role in tumor progression, notably as a potent inducer of epithelial-mesenchymal transition (EMT). However, all of the molecular effectors driving TGFβ-induced EMT are not fully characterized. Here, we report that forkhead box S1 (FOXS1) is a SMAD (mothers against decapentaplegic)dependent TGFβ-induced transcription factor, which regulates the expression of genes required for the initial steps of EMT (e.g., snail family transcription repressor 1) and to maintain a mesenchymal phenotype in hepatocellular carcinoma (HCC) cells. In human HCC, we report that FOXS1 is a biomarker of poorly differentiated and aggressive tumor subtypes. Importantly, FOXS1 expression level and activity are associated with a poor prognosis (e.g., reduced patient survival), not only in HCC but also in colon, stomach, and kidney cancers. Conclusion: FOXS1 constitutes a clinically relevant biomarker for tumors in which the pro-metastatic arm of TGFβ is active (i.e., patients who may benefit from targeted therapies using inhibitors of the TGFβ pathway). (Hepatology Communications 2021;0:1-15)