Cell-Free DNA Analysis of Epithelial Growth Factor Receptor Mutations in Lung Adenocarcinoma Patients by Droplet Digital PCR

Faisal Hana Khairina Putri

Horimasu Yasushi

Hirano Shoko

Yamaoka Emi

Fukazawa Takahiro

Kanawa Masami

Tanimoto Keiji

Hattori Noboru

Kohno Nobuoki

Ueda Yuka

Sueda Taijiro

Hiyama Eiso

Hiroshima Journal of Medical Sciences

[PISSN] 0018-2052

[EISSN] 2433-7668

[NCID] AA00664312

Cell-free DNA (cfDNA) analysis may provide a non-invasive diagnostic approach for lung adenocarcinoma patients. Recently, droplet digital PCR (ddPCR) has been developed as a highly sensitive detection method for a low mutant allele percentage. The ddPCR detection limit for epithelial growth factor receptor (EGFR) mutations was evaluated using cell lines, NCI-H1975 for EGFR L858R point mutation and PC-9 for EGFR E746-A750del. Subsequently, detection of EGFR mutations by ddPCR was performed in tumor DNA (tDNA) and cfDNA samples of 19 lung adenocarcinoma patients whose tumor biopsies were already evaluated for EGFR mutations by clamp PCR (13 of L858R, 3 of E746-750del, and 3 of EGFR negative). In 12 cases, immunohistochemical analysis was performed to quantify the number of EGFR L858R-positive cells rate. EGFR point mutation or deletion were detected in 16 tumor DNA samples. In the measurable cfDNA samples, the rate of detection by ddPCR in cfDNA was 61.5% (8/13) for L858R and 100% (3/3) for E746-A750del. A relative correlation was found between the allele fraction (AF) of tDNA and the number of EGFR L858R-positive cells rate. No correlation was found between the AF of tDNA and AF of cfDNA. In our study, cfDNA mutation detection was not associated with clinicopathological features, but cases with high AF of cfDNA did have metastatic lesions. Our study shows that ddPCR enables cfDNA analysis for EGFR L858R and E746-A750del, with a high detection rate. Therefore, cfDNA analysis using ddPCR may complement to tumor biopsy and is beneficial for precision medicine in lung adenocarcinoma patients.

Cell-free DNA

Droplet digital PCR

Lung adenocarcinoma

EGF

eng

Hiroshima University Medical Press

Copyright (c) 2019 Hiroshima University Medical Press

[ISSN] 0018-2052

[ISSN] 2433-7668

[NCID] AA00664312

[DOI] 10.24811/hjms.68.1_1

[DOI] https://doi.org/10.24811/hjms.68.1_1