Author:
Masuda Takeshi,Miura Satoru,Sato Yuki,Tachihara Motoko,Bessho Akihiro,Nakamura Atsushi,Miyawaki Taichi,Yoshimine Kohei,Mori Masahide,Shiraishi Hideaki,Hamai Kosuke,Haratani Koji,Maeda Sumiko,Tabata Eriko,Kitagawa Chiyoe,Tanizaki Junko,Imai Takumi,Nogami Shohei,Yamamoto Nobuyuki,Nakagawa Kazuhiko,Hattori Noboru
Abstract
AbstractSmall amounts of epidermal growth factor receptor (EGFR) T790M mutation (micro-T790M), which is detected using droplet digital PCR (ddPCR) but not conventional PCR, in formalin-fixed and paraffin-embedded (FFPE) samples have been investigated as a predictive factor for the efficacy of EGFR-tyrosine kinase inhibitors (TKIs). However, the predictive value of micro-T790M remains controversial, possibly owing to the failure to examine artificial T790M in FFPE specimens. Therefore, we examined the predictive value of micro-T790M in first-generation (1G), second-generation (2G), and third-generation (3G) EGFR-TKI efficacy using a new method to exclude FFPE-derived artificial mutations in our retrospective cohort. The primary objective was time to treatment failure (TTF) of 1G, 2G, and 3G EGFR-TKIs according to micro-T790M status. In total, 315 patients with EGFR-positive non-small cell lung cancer treated with 1G, 2G, and 3G EGFR-TKIs were included in this study. The proportion of patients positive for micro-T790M in the 1G, 2G, and 3G EGFR-TKI groups was 48.2%, 47.1%, and 47.6%, respectively. In the micro-T790M-positive group, the TTF was significantly longer in the 2G and 3G EGFR-TKI groups than in the 1G TKI group. No differences in the micro-T790M-negative group were observed. Micro-T790M status detected using ddPCR, eliminating false positives, may be a valuable predictor of EGFR-TKI efficacy.
Publisher
Springer Science and Business Media LLC