{"title":"A high-throughput screening platform to identify <i>MYCN</i> expression inhibitors for liver cancer therapy.","authors":"Yali Xu, Hricha Mishra, Yutaka Furutani, Kaori Yanaka, Hajime Nishimura, Erina Furuhata, Masataka Takahashi, Luc Gailhouste, Yusuke Suenaga, Yoshitaka Hippo, Wenkui Yu, Tomokazu Matsuura, Harukazu Suzuki, Xian-Yang Qin","doi":"10.3389/fonc.2025.1486671","DOIUrl":null,"url":null,"abstract":"<p><p>MYCN, an oncogene implicated in hepatocellular carcinoma (HCC), is predominantly expressed in cancer stem-like HCC cells. It drives tumorigenicity, metastasis, and therapeutic resistance. In this study, we hypothesized that the pharmacological inhibition of MYCN could represent a novel therapeutic strategy for HCC. To identify inhibitors of MYCN expression, we developed an unbiased, high-throughput screening platform. With this platform, we identified MI202 as a potent inhibitor of <i>MYCN</i> expression. MI202 significantly reduced <i>MYCN</i> promoter activity and mRNA levels in HCC cells, inhibiting cell proliferation, spheroid formation, and colony growth and promoting apoptosis. Notably, MI202 selectively inhibited the proliferation of HCC cells but not of normal hepatic cells, highlighting its potential for HCC-specific therapy. Genome-wide CRISPR knockout screening has identified acyl-CoA thioesterase 2 (<i>ACOT2</i>), a key regulator of lipid metabolism, as a molecular target of MI202. <i>ACOT2</i> downregulation by MI202 was associated with reduced MYCN expression, suggesting that ACOT2 may mediate MYCN-driven tumorigenesis through lipid desaturation. Overall, this study presents a robust high-throughput screening platform to identify MYCN inhibitors and highlights the potential of pharmacological downregulation of MYCN as a therapeutic strategy for targeting HCC.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1486671"},"PeriodicalIF":3.5000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868045/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fonc.2025.1486671","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
MYCN, an oncogene implicated in hepatocellular carcinoma (HCC), is predominantly expressed in cancer stem-like HCC cells. It drives tumorigenicity, metastasis, and therapeutic resistance. In this study, we hypothesized that the pharmacological inhibition of MYCN could represent a novel therapeutic strategy for HCC. To identify inhibitors of MYCN expression, we developed an unbiased, high-throughput screening platform. With this platform, we identified MI202 as a potent inhibitor of MYCN expression. MI202 significantly reduced MYCN promoter activity and mRNA levels in HCC cells, inhibiting cell proliferation, spheroid formation, and colony growth and promoting apoptosis. Notably, MI202 selectively inhibited the proliferation of HCC cells but not of normal hepatic cells, highlighting its potential for HCC-specific therapy. Genome-wide CRISPR knockout screening has identified acyl-CoA thioesterase 2 (ACOT2), a key regulator of lipid metabolism, as a molecular target of MI202. ACOT2 downregulation by MI202 was associated with reduced MYCN expression, suggesting that ACOT2 may mediate MYCN-driven tumorigenesis through lipid desaturation. Overall, this study presents a robust high-throughput screening platform to identify MYCN inhibitors and highlights the potential of pharmacological downregulation of MYCN as a therapeutic strategy for targeting HCC.
期刊介绍:
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.