Bioinformatically Expanded Next-Generation Sequencing Analysis Optimizes Identification of Therapeutically Relevant MET Copy Number Alterations in >50,000 Tumors.
James Patrick SolomonSoo-Ryum YangNoura J ChoudhuryRyan N PtashkinNasrin EslamdoostChristina J FalconAxel MartinAndrew J PlodkowskiClare J WilhemRonglai ShenMarc LadanyiMichael F BergerYanming ZhangAlexander E DrilonMaria E ArcilaPublished in: Clinical cancer research : an official journal of the American Association for Cancer Research (2022)
Leveraging our integrated bioinformatic approach, targeted therapy benefit was observed across diverse MET amplification contexts.