Literature DB >> 31270163

Hepatocellular carcinomas: evolution to sorafenib resistance through hepatic leukaemia factor.

Orlando Musso1, Naiara Beraza2.   

Abstract

Entities:  

Keywords:  hepatocellular carcinoma

Mesh:

Substances:

Year:  2019        PMID: 31270163      PMCID: PMC6839724          DOI: 10.1136/gutjnl-2019-318999

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


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Hepatocellular carcinoma (HCC) is the second cause of cancer-related death and it represents the leading cause of death in patients with cirrhosis.1 The vast majority of HCCs develop in a background of severe liver fibrosis, commonly caused by HBV or HCV infection, exposure to aflatoxin B, alcoholic and non-alcoholic steatohepatitis (NASH), as well as genetic diseases.1 Despite recent advances in the treatment of viral hepatitis, modelling of the dramatic rise in the incidence of NASH predicts a substantial increase in the global burden of HCC.1 HCC allocation to treatment options is based on tumour number, size and vascular invasion, as well as on the functional liver reserve. Although HCC aggressiveness can be inferred from these clinical parameters, screening programmes in patients at risk increasingly detect early-stage HCCs that share homogeneous clinical features, but that diverge in terms of biological and molecular features.1 Therefore, a more precise prediction of HCC aggressiveness is expected from a better insight on HCC heterogeneity. Liver transplantation is the most effective curative option for HCC though it suffers from obvious limitations such as donor (organ) shortage. Alternative treatments include hepatic resection and tumour ablation, chemoembolisation and systemic therapy, which is limited to sorafenib and lenvatinib as first-line treatment, and second-line options like regorafenib among others.1 Sorafenib, a multikinase inhibitor with antiproliferative and antiangiogenic properties, is the gold-standard systemic treatment option improving patient survival.1 Still, some tumours are resistant to sorafenib, underlining the urge to understand how HCC cells develop treatment resistance. Cancer progression results from the coevolution of a heterogeneous ecosystem involving genetic diversity, epigenetic reprogramming and remodelling of the tumour microenvironment.2 The tumour ecosystem selects quiescent cancer stem cells whose particular energy metabolism and detoxifying properties lead to therapeutic resistance.2 Cancer progression toward an increasingly aggressive disease correlates with de novo expression of oncofetal proteins and with poor prognosis.3 A number of oncofetal proteins have been described, including the pluripotency factors OCT4 and SOX2, as well as AFP, SKA-1, SALL4, IGF2BP, 5T4, ROR1, FOXM1, Nodal and CR1,3 that endow cancer cells with stemness features, such as metabolic switch, drug detoxification, quiescence, immune escape and cell plasticity (figure 1). Pluripotency confers a high-degree biodiversity to the tumour ecosystem and therefore the ability for selection of the fittest cancer cells in terms of therapeutic resistance.2
Figure 1

Hepatic leukaemia factor (HLF) as a paradigm for cancer cell plasticity and cancer evolution. (A) De novo expression of the oncofetal protein HLF is induced by the pluripotency factors OCT4 and SOX2. HLF, in turn, upregulates OCT4 and SOX2 in a positive feedback loop leading to JUN expression, AP1 signaling and expression of stem cell markers, which concur to induce tumor initiation, progression and sorafenib resistance. HLF also upregulates IL6/STAT3 in a feedforward regulatory circuit. (B) Strategies to tackle tumor evolution to cancer stem cells resistant to therapies may involve combined targeting of the metabolic/detoxification switches in cancer stem cells plus controlling cancer cell proliferation/differentiation and tumor immunity. Left, quiescent, metabolically fit cancer stem cells; right, proliferating and moderately-to-poorly differentiated cancer cells. Red arrows, HLF-induced effects; blue arrows, feedforward regulatory circuits. HLF, hepatic leukaemia factor.

Hepatic leukaemia factor (HLF) as a paradigm for cancer cell plasticity and cancer evolution. (A) De novo expression of the oncofetal protein HLF is induced by the pluripotency factors OCT4 and SOX2. HLF, in turn, upregulates OCT4 and SOX2 in a positive feedback loop leading to JUN expression, AP1 signaling and expression of stem cell markers, which concur to induce tumor initiation, progression and sorafenib resistance. HLF also upregulates IL6/STAT3 in a feedforward regulatory circuit. (B) Strategies to tackle tumor evolution to cancer stem cells resistant to therapies may involve combined targeting of the metabolic/detoxification switches in cancer stem cells plus controlling cancer cell proliferation/differentiation and tumor immunity. Left, quiescent, metabolically fit cancer stem cells; right, proliferating and moderately-to-poorly differentiated cancer cells. Red arrows, HLF-induced effects; blue arrows, feedforward regulatory circuits. HLF, hepatic leukaemia factor. In Gut, Xiang and colleagues identified hepatic leukaemia factor (HLF) as a novel oncofetal protein driving HCC progression and resistance to sorafenib.4 HLF is a member of the proline and acidic amino acid-rich basic leucine zipper family of transcription factors.5 It was first identified as part of the t(17:19)(E2A-HLF) translocation, in a rare subtype of child acute lymphoblastic leukaemia.6 HLF is essential for haematopoietic stem cell development and xenobiotic detoxification,5 and maintains quiescence of haematopoietic stem cells, protecting them from radiation or drug-induced injury and increasing drug resistance in acute lymphoblastic leukaemia.6 In fibrotic livers, HLF is expressed by hepatic stellate cells, which leads to a positive feedback loop further promoting HLF expression via activation of the proinflammatory IL6/STAT3 pathway.7 Interleukin 6 signalling plays a major role in hepatocyte retrodifferentiation and in the proinflammatory and preneoplastic microenvironment that contributes to the emergence of HCCs in severely fibrotic livers.1 8 Therefore, it may be hypothesised that HLF fosters the emergence of quiescent cancer stem cell populations from the onset of liver carcinogenesis. This assumption may be substantiated by evidence provided by Xiang et al in this issue of Gut,4 whereby the pluripotency factors SOX2 and OCT4 synergistically upregulate HLF expression and, conversely, HLF upregulates expression of the pluripotency factors SOX2 and OCT4 in a positive feedback loop. As well, HLF may upregulate stemness through NANOG, MYC and CTNNB1 (figure 1), as shown by the authors in this issue of Gut.4 The study by Xiang and colleagues also demonstrates that the induction of HLF expression in healthy adult hepatocytes leads to the expression of tumour-initiating cell (TIC)-associated markers and that the depletion of HLF protects the liver from HCC development in mice. Further mechanistic evidence established HLF as an upstream regulator of the transcription of JUN, a well-known oncogene9 that mediates the promotion of HLF-dependent TIC-like properties and tumour progression. Importantly, the authors show that the activation of the HLF/c-Jun axis confers tumour cell resistance to sorafenib, supporting previous work showing that JUN expression associates with sorafenib resistance in vitro and in patients with HCC10 and establishing HLF as an upstream regulator of sorafenib resistance induced by c-Jun.4 Overall, these results support the value of HLF expression as a prognosis marker of survival of patients with HCC by predicting resistance to sorafenib, providing a key tool for patient stratification. Still, establishing HLF as a cancer marker has obvious limitations. These include the fact that the detection of HLF must be done in tissue and that biopsies are rarely taken for diagnosis or surveillance, which is commonly carried out combining imaging with analysis of serum markers.1 Xiang et al 4 propose HLF as a therapeutic target for HCC. Based on stemness and multipotency, oncofetal proteins are attractive therapeutic targets for pharmacological approaches to treat HCC. Yet, we are still far from the ‘magic bullet’ to treat HCC: a complex multifactorial disease, involving stemness, proliferation, angiogenesis, immune exhaustion and profound metabolic changes in the tumour and its microenvironment. From the perspective of Darwinian evolution, tumour progression results from the competition of diverse cancer cell clones for the cancer cell niche. Aggressive anticancer therapies sweep away proliferating cells, thereby releasing the competitive pressure from quiescent cancer stem cells endowed with detoxification, survival and metabolic fitness.11 The work by Xiang et al suggests that anticancer therapy should combine conventional antiproliferative and tumour mass-reducing approaches (including biotherapy and immunotherapy), with strategies to prevent the development of cancer stem cell contingents by attacking their specific attributes, such as metabolic reprogramming8 or the development of pluripotency features (figure 1B).2 Therefore, future cancer treatments may consider a wider range of cancer cell diversity to prevent the emergence of fitter cancer cell populations.
  11 in total

1.  Oncogene at last--c-Jun promotes liver cancer in mice.

Authors:  Shin Maeda; Michael Karin
Journal:  Cancer Cell       Date:  2003-02       Impact factor: 31.743

Review 2.  Hepatocellular carcinoma.

Authors:  Alejandro Forner; María Reig; Jordi Bruix
Journal:  Lancet       Date:  2018-01-05       Impact factor: 79.321

3.  Retrodifferentiation of Human Tumor Hepatocytes to Stem Cells Leads to Metabolic Reprogramming and Chemoresistance.

Authors:  Karim Fekir; Hélène Dubois-Pot-Schneider; Romain Désert; Yoann Daniel; Denise Glaise; Claudine Rauch; Fabrice Morel; Bernard Fromenty; Orlando Musso; Florian Cabillic; Anne Corlu
Journal:  Cancer Res       Date:  2019-03-05       Impact factor: 12.701

4.  Oncofetal signaling as a target for cancer therapy.

Authors:  Lars Ahrlund-Richter; Mary J C Hendrix
Journal:  Semin Cancer Biol       Date:  2014-08-08       Impact factor: 15.707

5.  Oncofetal HLF transactivates c-Jun to promote hepatocellular carcinoma development and sorafenib resistance.

Authors:  Dai-Min Xiang; Wen Sun; Tengfei Zhou; Cheng Zhang; Zhuo Cheng; Shi-Chao Li; Weiqi Jiang; Ruoyu Wang; Gongbo Fu; Xiuliang Cui; Guojun Hou; Guang-Zhi Jin; Hengyu Li; Caiying Hou; Hui Liu; Hongyang Wang; Jin Ding
Journal:  Gut       Date:  2019-05-22       Impact factor: 23.059

6.  The HLF/IL-6/STAT3 feedforward circuit drives hepatic stellate cell activation to promote liver fibrosis.

Authors:  Dai-Min Xiang; Wen Sun; Bei-Fang Ning; Teng-Fei Zhou; Xiao-Feng Li; Wei Zhong; Zhuo Cheng; Ming-Yang Xia; Xue Wang; Xing Deng; Wei Wang; Heng-Yu Li; Xiu-Liang Cui; Shi-Chao Li; Bin Wu; Wei-Fen Xie; Hong-Yang Wang; Jin Ding
Journal:  Gut       Date:  2017-07-28       Impact factor: 23.059

7.  Hepatic Leukemia Factor Maintains Quiescence of Hematopoietic Stem Cells and Protects the Stem Cell Pool during Regeneration.

Authors:  Karolina Komorowska; Alexander Doyle; Martin Wahlestedt; Agatheeswaran Subramaniam; Shubhranshu Debnath; Jun Chen; Shamit Soneji; Ben Van Handel; Hanna K A Mikkola; Kenichi Miharada; David Bryder; Jonas Larsson; Mattias Magnusson
Journal:  Cell Rep       Date:  2017-12-19       Impact factor: 9.423

8.  Activation of c-Jun predicts a poor response to sorafenib in hepatocellular carcinoma: Preliminary Clinical Evidence.

Authors:  Wei Chen; Weikai Xiao; Kunsong Zhang; Xiaoyu Yin; Jiaming Lai; Lijian Liang; Dong Chen
Journal:  Sci Rep       Date:  2016-03-11       Impact factor: 4.379

9.  Genomics and drug profiling of fatal TCF3-HLF-positive acute lymphoblastic leukemia identifies recurrent mutation patterns and therapeutic options.

Authors:  Ute Fischer; Michael Forster; Anna Rinaldi; Thomas Risch; Stéphanie Sungalee; Hans-Jörg Warnatz; Beat Bornhauser; Michael Gombert; Christina Kratsch; Adrian M Stütz; Marc Sultan; Joelle Tchinda; Catherine L Worth; Vyacheslav Amstislavskiy; Nandini Badarinarayan; André Baruchel; Thies Bartram; Giuseppe Basso; Cengiz Canpolat; Gunnar Cario; Hélène Cavé; Dardane Dakaj; Mauro Delorenzi; Maria Pamela Dobay; Cornelia Eckert; Eva Ellinghaus; Sabrina Eugster; Viktoras Frismantas; Sebastian Ginzel; Oskar A Haas; Olaf Heidenreich; Georg Hemmrich-Stanisak; Kebria Hezaveh; Jessica I Höll; Sabine Hornhardt; Peter Husemann; Priyadarshini Kachroo; Christian P Kratz; Geertruy Te Kronnie; Blerim Marovca; Felix Niggli; Alice C McHardy; Anthony V Moorman; Renate Panzer-Grümayer; Britt S Petersen; Benjamin Raeder; Meryem Ralser; Philip Rosenstiel; Daniel Schäfer; Martin Schrappe; Stefan Schreiber; Moritz Schütte; Björn Stade; Ralf Thiele; Nicolas von der Weid; Ajay Vora; Marketa Zaliova; Langhui Zhang; Thomas Zichner; Martin Zimmermann; Hans Lehrach; Arndt Borkhardt; Jean-Pierre Bourquin; Andre Franke; Jan O Korbel; Martin Stanulla; Marie-Laure Yaspo
Journal:  Nat Genet       Date:  2015-07-27       Impact factor: 38.330

10.  Is adaptive therapy natural?

Authors:  Frédéric Thomas; Emmanuel Donnadieu; Guillaume M Charriere; Camille Jacqueline; Aurélie Tasiemski; Pascal Pujol; François Renaud; Benjamin Roche; Rodrigo Hamede; Joel Brown; Robert Gatenby; Beata Ujvari
Journal:  PLoS Biol       Date:  2018-10-02       Impact factor: 8.029

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  2 in total

1.  High Hepatic leukemia factor expression indicates a favorable survival in glioma patients.

Authors:  QingLin Liu; Huijian Ge; Peng Liu; Youxiang Li
Journal:  Medicine (Baltimore)       Date:  2021-02-12       Impact factor: 1.817

2.  Identification of a Four-Gene Signature Associated with the Prognosis Prediction of Lung Adenocarcinoma Based on Integrated Bioinformatics Analysis.

Authors:  Yuan Wu; Lingge Yang; Long Zhang; Xinjie Zheng; Huan Xu; Kai Wang; Xianwu Weng
Journal:  Genes (Basel)       Date:  2022-01-27       Impact factor: 4.096

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