克拉斯
T790米
肺癌
医学
液体活检
内科学
肿瘤科
埃罗替尼
抗性突变
表皮生长因子受体
酪氨酸激酶抑制剂
循环肿瘤DNA
循环肿瘤细胞
胎儿游离DNA
预测标记
癌症研究
癌症
结直肠癌
生物
聚合酶链反应
基因
转移
逆转录酶
胎儿
产前诊断
怀孕
生物化学
遗传学
作者
Bo Mi Ku,Yeon Sook Kim,Donghyun Park,Se-Hoon Lee,Jin Seok Ahn,Keunchil Park,Myung-Ju Ahn,Jong-Mu Sun
出处
期刊:Oncology
[Karger Publishers]
日期:2022-02-23
卷期号:: 1-10
摘要
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.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.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.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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