Abstract

Objectives: During targeted therapy, tumor heterogeneity can drive the evolution of multiple tumor subclones harboring unique resistance mechanisms. Sequential profiling of plasma cell-free DNA (cfDNA) provides a noninvasive method for early detection of patient progression. We investigated whether the genetic dynamics detected in cfDNA during treatment can act as a predictive or prognostic marker of outcome. Methods: Patients with advanced EGFR-mutated non-small cell lung cancer (NSCLC) were included for consecutive blood sampling during EGFR-tyrosine kinase inhibitor (TKI) treatment. Blood samples were serially collected from patients at baseline, first follow-up, and progression. Extracted cfDNA was analyzed with next-generation sequencing. Results: Serial plasma samples (n = 187) from 63 patients were analyzed, and 44 patients showed circulating tumor DNA (ctDNA). EGFR mutations were detected in 36 of the 44 patients at baseline (81.8%). EGFR mutations were no longer detected in 19 of 36 shedders (52.8%) at 2 months after EGFR-TKI treatment and rebounded with resistant EGFR mutations (T790M or C797S) at progression. Other driver mutations such as KRAS G12D and BRAF V600E were found at baseline regardless of tissue EGFR status, suggesting tumor heterogeneity. Detection of ctDNA (shedder) at baseline associated with poor overall survival (p = 0.04) compared to nonshedder. Furthermore, in patients showing EGFR mutations in plasma at baseline, the clearing rate of those during the first 8 weeks of treatment served as a positive predictor for clinical outcome. Conclusion: Longitudinal liquid biopsies capture spatial and temporal heterogeneity underlining resistance to EGFR-TKIs in NSCLC. Thus, ctDNA monitoring during EGFR-TKI treatment is useful for detecting resistance mutations or predicting response. Dense serial monitoring using blood enables early prediction of treatment failure and provides a window of opportunity for well-timed intervention.

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