Alessandro M. Mozzarelli, Antonio Cuevas-Navarro, Emily G. Shuldiner, Martha Vega, Walid K. Chatila, Jierui Xu, Henry S. Walch, Yuzhe Niu, Dmitri A. Petrov, Nikolaus Schultz, Anatoly Urisman, Charles M. Rudin, Monte M. Winslow, Pau Castel
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引用次数: 0
Abstract
RIT1 is a small GTPase of the RAS family, and RIT1 mutations have been identified in lung cancer, leukemias, and the developmental disorder Noonan syndrome. Mutations in RIT1 lead to increased protein levels due to impaired proteolysis, resulting in dysregulation of RAS/MAPK signaling and other pathways. Here, we documented the diversity of RIT1 mutations in human lung cancer and showed that physiological expression of RIT1 M90I is sufficient to drive autochthonous lung tumor development in vivo in mouse models. Evaluation of complementary methods to either inhibit RIT1 directly or the downstream RAS/MAPK pathway revealed that RIT1 M90I tumors are sensitive to SHP2 inhibitors and RAS nucleotide exchange inhibition. Additionally, a proof-of-concept chemical biology approach identified that RAS tri-complex inhibitors bind directly to GTP-bound RIT1, resulting in tumor shrinkage. These molecules provide a feasible therapeutic approach for RIT1-driven lung tumors.
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.