Literature DB >> 35076948

Therapeutic efficacy of FASN inhibition in preclinical models of HCC.

Haichuan Wang1,2,3, Yi Zhou3,4, Hongwei Xu1,2,3, Xue Wang5, Yi Zhang3,6, Runze Shang3, Marie O'Farrell7, Stephanie Roessler8, Carsten Sticht9, Andreas Stahl5, Matthias Evert10, Diego F Calvisi10, Yong Zeng1,2, Xin Chen3.   

Abstract

BACKGROUND AND AIMS: Aberrant activation of fatty acid synthase (FASN) is a major metabolic event during the development of HCC. We evaluated the therapeutic efficacy of TVB3664, a FASN inhibitor, either alone or in combination, for HCC treatment. APPROACH AND
RESULTS: The therapeutic efficacy and the molecular pathways targeted by TVB3664, either alone or with tyrosine kinase inhibitors or the checkpoint inhibitor anti-programmed death ligand 1 antibody, were assessed in human HCC cell lines and multiple oncogene-driven HCC mouse models. RNA sequencing was performed to elucidate the effects of TVB3664 on global gene expression and tumor metabolism. TVB3664 significantly ameliorated the fatty liver phenotype in the aged mice and AKT-induced hepatic steatosis. TVB3664 monotherapy showed moderate efficacy in NASH-related murine HCCs, induced by loss of phosphatase and tensin homolog and MET proto-oncogene, receptor tyrosine kinase (c-MET) overexpression. TVB3664, in combination with cabozantinib, triggered tumor regression in this murine model but did not improve the responsiveness to immunotherapy. Global gene expression revealed that TVB3664 predominantly modulated metabolic processes, whereas TVB3664 synergized with cabozantinib to down-regulate multiple cancer-related pathways, especially the AKT/mammalian target of rapamycin pathway and cell proliferation genes. TVB3664 also improved the therapeutic efficacy of sorafenib and cabozantinib in the FASN-dependent c-MYC-driven HCC model. However, TVB3664 had no efficacy nor synergistic effects in FASN-independent murine HCC models.
CONCLUSIONS: This preclinical study suggests the limited efficacy of targeting FASN as monotherapy for HCC treatment. However, FASN inhibitors could be combined with other drugs for improved effectiveness. These combination therapies could be developed based on the driver oncogenes, supporting precision medicine approaches for HCC treatment.
© 2022 American Association for the Study of Liver Diseases.

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Year:  2022        PMID: 35076948      PMCID: PMC9309180          DOI: 10.1002/hep.32359

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.298


  35 in total

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Journal:  J Hepatol       Date:  2015-10-22       Impact factor: 25.083

2.  Axis inhibition protein 1 (Axin1) Deletion-Induced Hepatocarcinogenesis Requires Intact β-Catenin but Not Notch Cascade in Mice.

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Journal:  Hepatology       Date:  2019-04-11       Impact factor: 17.425

3.  The AMP analog AICAR modulates the Treg/Th17 axis through enhancement of fatty acid oxidation.

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Journal:  Hepatology       Date:  2011-12-19       Impact factor: 17.425

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Review 8.  Targeting the mTOR pathway in hepatocellular carcinoma: current state and future trends.

Authors:  Matthias S Matter; Thomas Decaens; Jesper B Andersen; Snorri S Thorgeirsson
Journal:  J Hepatol       Date:  2013-12-03       Impact factor: 25.083

9.  Co-activation of AKT and c-Met triggers rapid hepatocellular carcinoma development via the mTORC1/FASN pathway in mice.

Authors:  Junjie Hu; Li Che; Lei Li; Maria G Pilo; Antonio Cigliano; Silvia Ribback; Xiaolei Li; Gavinella Latte; Marta Mela; Matthias Evert; Frank Dombrowski; Guohua Zheng; Xin Chen; Diego F Calvisi
Journal:  Sci Rep       Date:  2016-02-09       Impact factor: 4.379

10.  First-in-human study of the safety, pharmacokinetics, and pharmacodynamics of first-in-class fatty acid synthase inhibitor TVB-2640 alone and with a taxane in advanced tumors.

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Journal:  EClinicalMedicine       Date:  2021-03-30
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Review 2.  Nanomedicines Targeting Metabolism in the Tumor Microenvironment.

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4.  FASN inhibition targets multiple drivers of NASH by reducing steatosis, inflammation and fibrosis in preclinical models.

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5.  Identification and validation of a fatty acid metabolism-related lncRNA signature as a predictor for prognosis and immunotherapy in patients with liver cancer.

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  5 in total

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