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功能筛选确定RBM42是致癌mRNA翻译特异性的介质。

Functional screen identifies RBM42 as a mediator of oncogenic mRNA translation specificity.

作者信息

Kovalski Joanna R, Sarioglu Goksu, Subramanyam Vishvak, Hernandez Grace, Rademaker Gilles, Oses-Prieto Juan A, Slota Macey, Mohan Nimmy, Yiakis Kaylee, Liu Isabelle, Wen Kwun Wah, Kim Grace E, Miglani Sohit, Burlingame Alma L, Goodarzi Hani, Perera Rushika M, Ruggero Davide

机构信息

Department of Urology, University of California San Francisco, San Francisco, CA, USA.

Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.

出版信息

Nat Cell Biol. 2025 Mar;27(3):518-529. doi: 10.1038/s41556-024-01604-7. Epub 2025 Feb 4.

Abstract

Oncogenic protein dosage is tightly regulated to enable cancer formation but how this is regulated by translational control remains unknown. The Myc oncogene is a paradigm of an exquisitely regulated oncogene and a driver of pancreatic ductal adenocarcinoma (PDAC). Here we use a CRISPR interference screen in PDAC cells to identify activators of selective MYC translation. The top hit, the RNA-binding protein RBM42, is highly expressed in PDAC and predicts poor survival. We show that RBM42 binds and selectively regulates the translation of MYC and a precise suite of pro-oncogenic transcripts, including JUN and EGFR. Mechanistically, we find that RBM42 binds and remodels the MYC 5' untranslated region structure, facilitating the formation of the translation pre-initiation complex. Importantly, RBM42 is necessary for PDAC tumorigenesis in a Myc-dependent manner in vivo. This work transforms the understanding of the translational code in cancer and illuminates therapeutic openings to target the expression of oncogenes.

摘要

致癌蛋白剂量受到严格调控以促成癌症形成,但翻译控制如何调节这一过程仍不清楚。Myc癌基因是一个调控精细的癌基因范例,也是胰腺导管腺癌(PDAC)的驱动因素。在这里,我们在PDAC细胞中进行了CRISPR干扰筛选,以识别选择性MYC翻译的激活因子。排名第一的是RNA结合蛋白RBM42,它在PDAC中高度表达,并预示着较差的生存率。我们发现RBM42结合并选择性调节MYC以及一组精确的促癌转录本(包括JUN和EGFR)的翻译。从机制上讲,我们发现RBM42结合并重塑MYC 5'非翻译区结构,促进翻译起始前复合物的形成。重要的是,RBM42在体内以Myc依赖的方式对PDAC肿瘤发生是必需的。这项工作改变了对癌症翻译密码的理解,并揭示了针对癌基因表达的治疗切入点。

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