Quantification of BIM mRNA in circulating tumor cells of osimertinib-treated patients with EGFR mutation-positive lung cancer.

2021 
Abstract Background The response rate for osimertinib is high among patients with untreated epidermal growth factor receptor (EGFR) mutation-positive non-small cell lung cancer (NSCLC). However, there exist no biomarkers to predict the efficacy of the same. This study investigated whether BIM-γ mRNA expression in circulating tumor cells (CTCs) predicts poor outcomes for osimertinib treatment in patients with EGFR mutation-positive NSCLC. Methods Patients with advanced EGFR-tyrosine kinase inhibitor-untreated NSCLC or post-operative recurrence with EGFR-sensitive mutations (exon 19 deletion or L858R mutation) were included. Informed consent was obtained from all participants. The candidate biomarker BIM-γ was measured in CTCs after blood collection (10 mL of whole blood) at baseline. CTCs were collected with the ClearCell FX system, and quantitative real-time PCR was performed. Relative expression of BIM-γ mRNA from CTCs, as normalized to the reference gene (GAPDH mRNA), was calculated using the KCL22 cell line for calibration. Results We enrolled 30 EGFR mutation-positive NSCLC patients treated with osimertinib during the period from April 2018 through December 2019. All the patients had an EGFR mutation at the primary site: exon 19 deletion in 15 cases and L858R in 15 cases. Median CTC count at baseline was 12 (range 3–127)/7.5 mL, and median BIM-γ mRNA expression was 0.073 (range 0–1.37). Furthermore, the response rate to osimertinib was worse in patients with high than in those with low BIM-γ mRNA expression (n = 15 each) (26.6% vs. 73.3%, respectively; p = 0.011). Progression-free survival did not significantly differ between groups (p = 0.13). Conclusions BIM-γ mRNA overexpression in CTCs from EGFR mutation-positive NSCLC patients is a potential a biomarker for poor response to osimertinib. Clinical trial registration number UMIN:00032055.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    37
    References
    2
    Citations
    NaN
    KQI
    []