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Significance of micro-EGFR T790M mutations on EGFR-tyrosine kinase inhibitor efficacy in non-small cell lung cancer.

Authors :
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
Source :
Scientific Reports. 11/13/2023, Vol. 13 Issue 1, p1-11. 11p.
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
13
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
173602573
Full Text :
https://doi.org/10.1038/s41598-023-45337-3