Open AccessHigh-level gain of mesenchymal-epithelial transition factor (MET) copy number using next-generation sequencing as a predictive biomarker for MET inhibitor efficacy
Author(s) -
Shibo Wu,
Guodong Li,
Xin Zhao,
Jianxing Xiang,
Analyn Lizaso,
Junyi Ye,
Chunlei Shi,
Lingxiang Chen
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm-20-2741
Subject(s) - biomarker , cancer research , oncology , computational biology , medicine , biology , genetics
We derived a normalization method that could reflect the relative CN and distinguish -amplified NSCLC patients with high-level gene amplification who were sensitive to crizotinib, suggesting adCN could potentially serve as a predictive biomarker for MET TKI response.
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