MicroRNA-342-3p is a potent tumour suppressor in hepatocellular carcinoma
Autor: | Joel Daon, Andrei Goga, Amar Deep Sharma, Renyi Qin, Qingluan Hu, Lena von Döhlen, Asha Balakrishnan, Yu Xie, Michael Ott, Hsin-Chieh Tsay, Olaniyi Olarewaju, Ronja-Melinda Komoll, Qinggong Yuan, Michael P. Manns |
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Přispěvatelé: | TWINCORE, Zentrum für experimentelle und klinische Infektionsforschung GmbH,Feodor-Lynen Str. 7, 30625 Hannover, Germany. |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Monocarboxylic Acid Transporters
0301 basic medicine Lactate transport Carcinoma Hepatocellular Hepatocellular carcinoma Down-Regulation MCT1 MYC Transfection Virus law.invention Mice 03 medical and health sciences 0302 clinical medicine Cell Movement law Tumour metabolism microRNA medicine Animals Humans Genes Tumor Suppressor Lactic Acid Cell Proliferation Tumour regression Symporters Hepatology business.industry Cell growth Liver Neoplasms Biological Transport HCCS medicine.disease digestive system diseases Gene Expression Regulation Neoplastic Disease Models Animal MicroRNAs Treatment Outcome 030104 developmental biology Cancer research Suppressor 030211 gastroenterology & hepatology business Liver cancer RAS |
Zdroj: | Journal of Hepatology Journal of hepatology Netherlands |
Popis: | Background & aims: Hepatocellular carcinoma (HCC) is a cancer with multiple aetiologies and widespread prevalence. Largely refractory to current treatments, HCC is the fourth leading cause of cancer-related deaths worldwide. MicroRNAs (miRNAs) are important regulators in HCCs. We aimed to identify tumour suppressor miRNAs during tumour regression in a conditional c-MYC-driven mouse model (LT2/MYC) of HCC, and to evaluate their therapeutic potential for HCC treatment. Methods: We performed miRNA expression profiling of developed and regressing LT2/MYC tumours and in-depth in vitro gain- and loss-of-function analyses. The effect of adeno-associated virus (AAV) vector-mediated miR-342-3p treatment was evaluated in 3 HCC mouse models. Results: We identified miR-342-3p as a tumour suppressor miRNA in HCC, with increased expression in regressing tumours. Forced miR-342-3p expression in hepatoma cells showed significantly decreased cell proliferation, migration, and colony formation. In vivo administration of AAV-miR-342-3p led to significant attenuation of tumour development and increased overall survival. We identified monocarboxylic acid transporter 1 (MCT1) as a bona fide target of miR-342-3p in HCC. We show that the tumour suppressor role of miR-342-3p is executed partly by modulating the lactate transport function of MCT1. Importantly, we find miR-342-3p downregulated in tumours from patients with HCC compared with matched non-tumour tissues, inversely correlating with MCT1 expression. We observed similar findings in TCGA-LIHC data. Conclusions: In our study, we identified and validated miR-342-3p as a tumour suppressor miRNA in HCC. We demonstrated its therapeutic efficacy in significantly attenuating tumour development, and prolonging survival, in different HCC mouse models. Identification of miR-342-3p as an effective tumour suppressor opens a therapeutic avenue for miRNA-mediated attenuation of HCC development. Lay summary: Hepatocellular carcinoma (HCC), the most common type of liver cancer, affects diverse populations and has a global impact, being the fourth leading cause of cancer deaths worldwide. There are currently no systemic therapies for HCC that can significantly prolong long-term survival. Thus, novel effective treatment options are urgently required. To understand the molecular basis of tumour regression, we compared tumours and regressing liver tumours in mice. We show that a small non-coding miRNA, miR-342-3p, is a tumour suppressor in HCC. Expression of miR-342-3p is low in tumours and high in regressing tumours. When miR-342-3p is delivered to mouse livers with HCC, it can significantly slow down liver tumour development and improve survival. Our study highlights the promising therapeutic potential of miR-342-3p intervention in HCC. Deutsche Krebshilfe |
Databáze: | OpenAIRE |
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