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Article Abstract

Activating point mutations in the MET tyrosine kinase domain (TKD) are oncogenic in a subset of papillary renal cell carcinomas. Here, using comprehensive genomic profiling among >600,000 patients, we identify activating MET TKD point mutations as putative oncogenic driver across diverse cancers, with a frequency of ∼0.5%. The most common mutations in the MET TKD defined as oncogenic or likely oncogenic according to OncoKB resulted in amino acid substitutions at positions H1094, L1195, F1200, D1228, Y1230, M1250, and others. Preclinical modeling of these alterations confirmed their oncogenic potential and also demonstrated differential patterns of sensitivity to type I and type II MET inhibitors. Two patients with metastatic lung adenocarcinoma harboring MET TKD mutations (H1094Y, F1200I) and no other known oncogenic drivers achieved confirmed partial responses to a type I MET inhibitor. Activating MET TKD mutations occur in multiple malignancies and may confer clinical sensitivity to currently available MET inhibitors. Significance: The identification of targetable genomic subsets of cancer has revolutionized precision oncology and offers patients treatments with more selective and effective agents. Here, we demonstrate that activating, oncogenic MET tyrosine kinase domain mutations are found across a diversity of cancer types and are responsive to MET tyrosine kinase inhibitors.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11294820PMC
http://dx.doi.org/10.1158/2159-8290.CD-23-1217DOI Listing

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Article Synopsis
  • Activating point mutations in the MET tyrosine kinase domain are identified as oncogenic drivers in various cancers, occurring in about 0.5% of cases, particularly in certain papillary renal cell carcinomas.
  • Specific mutations at positions H1094, L1195, F1200, D1228, Y1230, and M1250 were labeled as oncogenic or likely oncogenic based on genetic profiling.
  • Preclinical models and patient responses indicate that these mutations may enhance sensitivity to MET inhibitors, highlighting the potential for targeted precision treatments in oncology.
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