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1.
J Hepatol ; 79(3): 704-716, 2023 09.
Artigo em Inglês | MEDLINE | ID: mdl-37201672

RESUMO

BACKGROUND & AIMS: Recurrent somatic mutations of the RPS6KA3 gene encoding for the serine/threonine kinase RSK2 were identified in hepatocellular carcinomas (HCCs), suggesting its tumour-suppressive function. Our goal was to demonstrate the tumour suppressor role of RSK2 in the liver and investigate the functional consequences of its inactivation. METHODS: We analysed a series of 1,151 human HCCs for RSK2 mutations and 20 other driver genetic alterations. We then modelled RSK2 inactivation in mice in various mutational contexts recapitulating or not those naturally found in human HCC, using transgenic mice and liver-specific carcinogens. These models were monitored for liver tumour appearance and subjected to phenotypic and transcriptomic analyses. Functional consequences of RSK2 rescue were also investigated in a human RSK2-deficient HCC cell line. RESULTS: RSK2-inactivating mutations are specific to human HCC and frequently co-occur with AXIN1-inactivating or ß-catenin-activating mutations. Modelling of these co-occurrences in mice showed a cooperative effect in promoting liver tumours with transcriptomic profiles recapitulating those of human HCCs. By contrast, there was no cooperation in liver tumour induction between RSK2 loss and BRAF-activating mutations chemically induced by diethylnitrosamine. In human liver cancer cells, we also showed that RSK2 inactivation confers some dependency to the activation of RAS/MAPK signalling that can be targeted by MEK inhibitors. CONCLUSIONS: Our study demonstrates the tumour suppressor role of RSK2 and its specific synergistic effect in hepatocarcinogenesis when its loss of function is specifically combined with AXIN1 inactivation or ß-catenin activation. Furthermore, we identified the RAS/MAPK pathway as a potential therapeutic target for RSK2-inactivated liver tumours. IMPACT AND IMPLICATIONS: This study demonstrated the tumour suppressor role of RSK2 in the liver and showed that its inactivation specifically synergises with AXIN1 inactivation or ß-catenin activation to promote the development of HCC with similar transcriptomic profiles as found in humans. Furthermore, this study highlights that activation of the RAS/MAPK pathway is one of the key signalling pathways mediating the oncogenic effect of RSK2 inactivation that can be targeted with already available anti-MEK therapies.


Assuntos
Carcinoma Hepatocelular , Neoplasias Hepáticas , Animais , Humanos , Camundongos , Proteína Axina/genética , beta Catenina/metabolismo , Carcinoma Hepatocelular/patologia , Neoplasias Hepáticas/patologia , Mutação , Transdução de Sinais
2.
Gastroenterology ; 157(3): 760-776, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31063779

RESUMO

BACKGROUND AND AIMS: Hepatocellular carcinomas (HCCs) are heterogeneous aggressive tumors with low rates of response to treatment at advanced stages. We screened a large panel of liver cancer cell lines (LCCLs) to identify agents that might be effective against HCC and markers of therapeutic response. METHODS: We performed whole-exome RNA and microRNA sequencing and quantification of 126 proteins in 34 LCCLs. We screened 31 anticancer agents for their ability to decrease cell viability. We compared genetic, RNA, and protein profiles of LCCLs with those of primary HCC samples and searched for markers of response. RESULTS: The protein, RNA and mutational signatures of the LCCLs were similar to those of the proliferation class of HCC, which is the most aggressive tumor type. Cell lines with alterations in genes encoding members of the Ras-MAPK signaling pathway and that required fibroblast growth factor (FGF)19 signaling via FGF receptor 4 for survival were more sensitive to trametinib than to FGF receptor 4 inhibitors. Amplification of FGF19 resulted in increased activity of FGF19 only in tumor cells that kept a gene expression pattern of hepatocyte differentiation. We identified single agents and combinations of agents that reduced viability of cells with features of the progenitor subclass of HCC. LCCLs with inactivating mutations in TSC1 and TSC2 were sensitive to the mammalian target of rapamycin inhibitor rapamycin, and cells with inactivating mutations in TP53 were sensitive to the Aurora kinase A inhibitor alisertib. Amplification of MET was associated with hypersensitivity to cabozantinib and the combination of sorafenib and inhibitors of MAP kinase 1 and MAP kinase2 had a synergistic antiproliferative effect. CONCLUSION: LCCLs can be screened for drugs and agents that might be effective for treatment of HCC. We identified genetic alterations and gene expression patterns associated with response to these agents. This information might be used to select patients for clinical trials.


Assuntos
Antineoplásicos/farmacologia , Protocolos de Quimioterapia Combinada Antineoplásica/farmacologia , Biomarcadores Tumorais/metabolismo , Carcinoma Hepatocelular/tratamento farmacológico , Neoplasias Hepáticas/tratamento farmacológico , Medicina de Precisão/métodos , Biomarcadores Tumorais/genética , Carcinoma Hepatocelular/genética , Carcinoma Hepatocelular/metabolismo , Carcinoma Hepatocelular/patologia , Linhagem Celular Tumoral , Sobrevivência Celular/efeitos dos fármacos , Tomada de Decisão Clínica , Ensaios de Seleção de Medicamentos Antitumorais , Regulação Neoplásica da Expressão Gênica , Redes Reguladoras de Genes , Predisposição Genética para Doença , Humanos , Neoplasias Hepáticas/genética , Neoplasias Hepáticas/metabolismo , Neoplasias Hepáticas/patologia , Seleção de Pacientes , Fenótipo , Mapas de Interação de Proteínas , Transdução de Sinais , Transcriptoma
3.
Clin Cancer Res ; 23(15): 4364-4375, 2017 Aug 01.
Artigo em Inglês | MEDLINE | ID: mdl-28246274

RESUMO

Purpose: Tivantinib was initially reported as a selective MET inhibitor and is under phase III evaluation in "MET-high" hepatocellular carcinoma (HCC) patients. However, it has been also proposed as an antimitotic agent. We aimed to evaluate the antitumor effect of tivantinib in HCC cells by combining pharmacologic and molecular profiling.Experimental Design: Sensitivity to tivantinib, JNJ-38877605, PHA-665752, vinblastine, and paclitaxel was tested in a panel of 35 liver cancer cell lines analyzed with exome sequencing, mRNA expression of 188 genes, and protein expression. Drug effect was investigated by Western blot analysis and mitotic index quantification. Expression of candidate biomarkers predicting drug response was analyzed in 310 HCCs.Results: Tivantinib sensitivity profiles in the 35 cell lines were similar to those obtained with antimitotic drugs. It induced blockage of cell mitosis, and high cell proliferation was associated with sensitivity to tivantinib, vinblastine, and paclitaxel. In contrast, tivantinib did not suppress MET signaling, and selective MET inhibitors demonstrated an antiproliferative effect only in MHCC97H, the unique cell line displaying MET gene amplification. HCC tumors with high expression of cell proliferation genes defined a group of patients with poor survival. Interestingly, highly proliferative tumors also demonstrated high MET expression, likely explaining better therapeutic response of MET-high HCC patients to tivantinib.Conclusions: Tivantinib acts as an antimitotic compound, and cell proliferation markers are the best predictors of its antitumor efficacy in cell lines. Ki67 expression should be tested in clinical trials to predict tivantinib response. Clin Cancer Res; 23(15); 4364-75. ©2017 AACR.


Assuntos
Biomarcadores Tumorais/genética , Carcinoma Hepatocelular/tratamento farmacológico , Neoplasias Hepáticas/tratamento farmacológico , Proteínas Proto-Oncogênicas c-met/genética , Carcinoma Hepatocelular/genética , Carcinoma Hepatocelular/patologia , Linhagem Celular Tumoral , Proliferação de Células/efeitos dos fármacos , Resistencia a Medicamentos Antineoplásicos/efeitos dos fármacos , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Humanos , Neoplasias Hepáticas/genética , Neoplasias Hepáticas/patologia , Inibidores de Proteínas Quinases/administração & dosagem , Inibidores de Proteínas Quinases/efeitos adversos , Proteínas Proto-Oncogênicas c-met/antagonistas & inibidores , Pirrolidinonas/administração & dosagem , Pirrolidinonas/efeitos adversos , Quinolinas/administração & dosagem , Quinolinas/efeitos adversos , Sequenciamento do Exoma
4.
Nat Genet ; 47(5): 505-511, 2015 May.
Artigo em Inglês | MEDLINE | ID: mdl-25822088

RESUMO

Genomic analyses promise to improve tumor characterization to optimize personalized treatment for patients with hepatocellular carcinoma (HCC). Exome sequencing analysis of 243 liver tumors identified mutational signatures associated with specific risk factors, mainly combined alcohol and tobacco consumption and exposure to aflatoxin B1. We identified 161 putative driver genes associated with 11 recurrently altered pathways. Associations of mutations defined 3 groups of genes related to risk factors and centered on CTNNB1 (alcohol), TP53 (hepatitis B virus, HBV) and AXIN1. Analyses according to tumor stage progression identified TERT promoter mutation as an early event, whereas FGF3, FGF4, FGF19 or CCND1 amplification and TP53 and CDKN2A alterations appeared at more advanced stages in aggressive tumors. In 28% of the tumors, we identified genetic alterations potentially targetable by US Food and Drug Administration (FDA)-approved drugs. In conclusion, we identified risk factor-specific mutational signatures and defined the extensive landscape of altered genes and pathways in HCC, which will be useful to design clinical trials for targeted therapy.


Assuntos
Carcinoma Hepatocelular/genética , Exoma , Neoplasias Hepáticas/genética , Idoso , Antineoplásicos/farmacologia , Benzoquinonas/farmacologia , Carcinoma Hepatocelular/tratamento farmacológico , Linhagem Celular Tumoral , Análise Mutacional de DNA , Feminino , Estudos de Associação Genética , Proteínas de Choque Térmico HSP90/antagonistas & inibidores , Humanos , Lactamas Macrocíclicas/farmacologia , Neoplasias Hepáticas/tratamento farmacológico , Masculino , Terapia de Alvo Molecular , NAD(P)H Desidrogenase (Quinona)/genética , NAD(P)H Desidrogenase (Quinona)/metabolismo , Fatores de Risco , Deleção de Sequência
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