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Significance of micro-EGFR T790M mutations on EGFR-tyrosine kinase inhibitor efficacy in non-small cell lung cancer
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|作者:
Takeshi Masuda
Satoru Miura
Yuki Sato
Motoko Tachihara
Akihiro Bessho
Atsushi Nakamura
Taichi Miyawaki
Kohei Yoshimine
Masahide Mori
Hideaki Shiraishi
Kosuke Hamai
Koji Haratani
Sumiko Maeda
Eriko Tabata
Chiyoe Kitagawa
Junko Tanizaki
Takumi Imai
Shohei Nogami
Nobuyuki Yamamoto
Kazuhiko Nakagawa
Noboru Hattori
机构:
[1] Hiroshima University Hospital,Department of Respiratory Medicine
[2] Niigata Cancer Center Hospital,Department of Internal Medicine
[3] Kobe City Medical Center General Hospital,Department of Respiratory Medicine
[4] Kobe University Graduate School of Medicine,Division of Respiratory Medicine, Department of Internal Medicine
[5] Japanese Red Cross Okayama Hospital,Department of Respiratory Medicine
[6] Sendai Kousei Hospital,Department of Pulmonary Medicine
[7] Shizuoka Cancer Center,Division of Thoracic Oncology
[8] Iizuka Hospital,Department of Respiratory Medicine
[9] National Hospital Organization,Department of Thoracic Oncology
[10] Osaka Toneyama Medical Center,Department of Respiratory Medicine
[11] Mitsui Memorial Hospital,Department of Respiratory Medicine
[12] Hiroshima Prefectural Hospital,Department of Medical Oncology
[13] Kindai University Faculty of Medicine,Department of General Thoracic Surgery
[14] Dokkyo Medical University,Department of Respiratory Medicine
[15] Ikeda City Hospital,Department of Respiratory Medicine and Medical Oncology
[16] National Hospital Organization Nagoya Medical Center,Department of Medical Oncology
[17] Kishiwada City Hospital,Department of Medical Statistics
[18] Osaka Metropolitan University Graduate School of Medicine,Department of Genome Analysis
[19] LSI Medience Corporation,Department of Internal Medicine III
[20] Wakayama Medical University,undefined
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摘要:
Small 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.
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