Bioinformatically Expanded Next-Generation Sequencing Analysis Optimizes Identification of Therapeutically Relevant MET Copy Number Alterations in &gt;50,000 Tumors

Post time 2023-2-20 02:24:54

Edited by doctorhope at 2023-2-20 04:14

journal：Clinical Cancer Research

Authors：James P. Solomon; Soo-Ryum Yang; Noura J. Choudhury; Ryan N. Ptashkin; Nasrin Eslamdoost; Christina J. Falcon; Axel Martin; Andrew Plodkowski; Clare Wilhelm; Ronglai Shen; Marc Ladanyi; Michael Berger; Yanming Zhang; Alexander Drilon; Maria E. Arcila

Published date：2022-11-1

DOI：10.1158/1078-0432.ccr-22-1321

Article link：http://dx.doi.org/10.1158/1078-0432.ccr-22-1321

Article Source：American Association for Cancer Research (AACR)。

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[AACR] Bioinformatically Expanded Next-Generation Sequencing Analysis Optimizes Identification of Therapeutically Relevant MET Copy Number Alterations in &gt;50,000 Tumors

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[AACR] Bioinformatically Expanded Next-Generation Sequencing Analysis Optimizes Identification of Therapeutically Relevant MET Copy Number Alterations in &amp;gt;50,000 Tumors Copy