1. Classification and regression tree for estimating predictive markers to detect T790M mutations after acquired resistance to first line EGFR-TKI: HOPE-002
- Author
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Toru Kumagai, Mitsunori Morita, Go Saito, Kazutaka Hosoya, Akihiro Tamiya, Yuki Saito, Motohiro Tamiya, Hidekazu Suzuki, T. Hirashima, Takuji Suzuki, Satoshi Teramukai, Junji Uchida, D. Fujimoto, Kei Fujikawa, Takeshi Uenami, Masashi Kanazu, Yasushi Fukuda, Toshihide Yokoyama, and Kiyonobu Ueno
- Subjects
Pharmacology ,Oncology ,medicine.medical_specialty ,Lung Neoplasms ,Epidermal Growth Factor ,First line ,Decision tree ,Biology ,Afatinib ,respiratory tract diseases ,ErbB Receptors ,T790M ,Egfr tki ,Acquired resistance ,Internal medicine ,Carcinoma, Non-Small-Cell Lung ,Mutation ,medicine ,Humans ,Pharmacology (medical) ,Protein Kinase Inhibitors - Abstract
Background and objective: Osimertinib as first-line treatment for patients with non-small cell lung cancer (NSCLC) harboring epidermal growth factor (EGFR) mutations remains controversial. Sequential EGFR-tyrosine kinase inhibitor (TKI) might be superior to the first line osimertinib in patients at risk of developing acquired T790M mutations.Methods: We enrolled consecutive patients with EGFR-mutated (deletion 19 or L858R) advanced NSCLC treated with first-line drugs and evaluated predictive markers using classification and regression tree (CART) for the detection of T790M mutations based on patient backgrounds prior to initial treatment.Results: Patients without acquired T790M mutations had worse outcomes than those with T790M mutations (median OS: 798 days vs. not reached; HR: 2.70; P
- Published
- 2021