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Le Bail, B.

Publications and source records attributed to Le Bail, B..

3 recordsLinked to original sources

Proteomic profiling of advanced hepatocellular carcinoma identifies predictive signatures of response to treatments

PurposeHepatocellular carcinoma (HCC) is the most common form of liver cancer with a bad prognosis in case of advanced HCC, only eligible for palliative systemic therapies. After a decade of exclusive sorafenib monotherapy, with a response rate of <10%, the advent of immunotherapies represents a revolution in HCC. The combination of atezolizumab/bevacizumab is recommended as the first-line systemic treatment, with a response rate around 30%. However, there are currently no predictive factors for response to these treatment options. Experimental DesignWe profiled, by high-resolution mass spectrometry-based proteomics combined with machine learning analysis, a selected cohort of fixed biopsies of advanced HCC. We grouped subjects according to their objective response to treatments, corresponded to a tumor regression vs tumor progression at 4 months after treatment. ResultsWe generated a proteome database of 50 selected HCC samples. We compared the relative protein abundance between tumoral and non-tumoral liver tissues from advanced HCC patients treated. The clear distinction of these two groups for each treatment is based on deregulation for 141 protein or 87 for atezolizumab/bevacizumab and sorafenib treatment, respectively. These specific proteomic signatures were sufficient to predict the response to treatment, and revealed biological pathways involved in treatments resistance. Particularly, we validated a shift in tumor cell metabolism with an immunosuppressive environment involved in the resistance to atezolizumab/bevacizumab combination. ConclusionsWe performed an in-depth analysis of quantitative proteomic data from HCC biopsies to predict the treatment response to advanced HCC giving the ability to optimize patient management.

cancer biology↗

TREM1+ regulatory myeloid cells expand in steatohepatitis-HCC and associate with poor prognosis and therapeutic resistance to anti-PD-1 blockade

Hepatocellular carcinoma (HCC) is an inflammation-associated cancer arising from viral and non-viral etiologies. Immune checkpoint blockade primarily benefits patients with viral HCC. Expansion of suppressive myeloid cells is a hallmark of chronic inflammation and cancer, but their heterogeneity in HCC is not fully resolved and might underlie immunotherapy resistance in the steatohepatitis setting. Here, we present a high resolution atlas of hepatic innate immune cells from patients with HCC that unravels a steatohepatitis contexture characterized by the emergence of high entropy myeloid cell states and myeloid-biased NK cell differentiation. We identify a discrete population of tumor-infiltrating myeloid cells, predominant in the steatohepatitis setting, that expresses a variety of myeloid lineage-affiliated genes, including granulocyte, macrophage and dendritic cell features, and can be identified in HCC tumors based on selective dual expression of TREM1 and CD163. Functional characterization reveals that TREM1+ CD163+ myeloid cells highly express TGF{beta} and IL-13RA, localize to HCC fibrotic lesions, and potently suppress T cell effector functions ex vivo, a function further potentiated by TREM1 engagement. We refer to this population as TREM1+ CD163+ regulatory myeloid cells (TREM1+CD163+ Mreg). Deconvolution analyses in large cohorts of patients with HCC and other solid tumors reveals that the density of TREM1+ CD163+ Mreg increases in advanced stages, associates with poor prognosis, and therapeutic resistance to PD-1 blockade. Our data support myeloid subset-targeted immunotherapies to treat HCC and identify TREM1 as a therapeutic target. HIGHLIGHTSO_LIAtlas of hepatic innate immune cells (100,000 transcriptomes) from patients with HCC C_LIO_LICore signatures to identify, discriminate and localize innate lymphoid and myeloid cells C_LIO_LIA population of TREM1+CD163+ myeloid cells, referred to as TREM1+CD163+ Mreg, expands in steatohepatitis HCC C_LIO_LITREM1+CD163+ Mreg express granulocyte- and macrophage/dendritic cell-lineage genes C_LIO_LITREM1+CD163+ Mreg potently suppress T cell effector functions, which is potentiated by TREM1 engagement by cognate ligands C_LIO_LITREM1+CD163+ Mreg produce high levels of TGF{beta} and populate fibrotic lesions C_LIO_LIThe density of TREM1+CD163+ Mreg increases in advanced HCC and associate with poor patient survival C_LIO_LIThe density of TREM1+CD163+ Mreg associates with resistance to immune checkpoint blockade in other solid tumors C_LI

immunology↗

The beta-catenin-target Fascin-1, altering hepatocyte differentiation, is a new marker of immature cells in hepatoblastomas

BACKGROUND & AIMS{beta}-catenin is a well-known effector of the Wnt pathway and a key player in cadherin-mediated cell adhesion. Oncogenic mutations of {beta}-catenin are highly frequent in pediatric liver primary tumors. Those mutations are mostly heterozygous allowing the co-expression of wild-type (WT) and mutated {beta}-catenins in tumor cells. We investigated the interplay between WT and mutated {beta}-catenins in liver tumor cells, and searched for new actors of the {beta}-catenin pathway. METHODSUsing an RNAi strategy in {beta}-catenin-mutated hepatoblastoma (HB) cells, we dissociated the structural and transcriptional activities of {beta}-catenin, carried mainly by, respectively, WT and mutated proteins. Their impact was characterized using transcriptomic and functional analyses. We studied mice that develop liver tumors upon activation of {beta}-catenin in hepatocytes (APCKO and {beta}-catenin{Delta}exon3 mice). We made use of transcriptomic data from mouse and human HB specimens and analyzed samples by immunohistochemistry. RESULTSWe highlighted an antagonist role of WT and mutated {beta}-catenins on hepatocyte differentiation as attested by alteration of hepatocyte markers expression and bile canaliculi formation. We characterized Fascin-1 as a target of {beta}-catenin involved in hepatocyte differentiation. Using mouse models that allow the formation of two phenotypically distinct tumors (differentiated or undifferentiated), we found that Fascin-1 expression is higher in undifferentiated tumors. Finally, we found that Fascin-1 is a specific marker of the embryonal component in human HBs. CONCLUSIONSIn mice and human, Fascin-1 expression is linked to loss of differentiation and polarity of hepatocytes. Thus, we highlighted Fascin-1 as a new player in the modulation of hepatocyte differentiation associated to {beta}-catenin pathway alteration in the liver. Data Transparency Statementstudy materials will be made available to other researchers upon request.

cancer biology↗