Genotype-Specific Differences in Circulating Tumor DNA Levels in Advanced NSCLC

医学 克拉斯 循环肿瘤DNA 生物标志物 肿瘤科 基因型 原发性肿瘤 内科学 正电子发射断层摄影术 癌症 癌症研究 转移 病理 核医学 生物 基因 遗传学 结直肠癌
作者
Vincent K. Lam,Jianjun Zhang,Carol C. Wu,Hai T. Tran,Lerong Li,Lixia Diao,Jing Wang,Waree Rinsurongkawong,Victoria M. Raymond,Richard B. Lanman,Jeff Lewis,Emily Roarty,Jack A. Roth,Stephen G. Swisher,John Lee,Don L. Gibbons,Vassiliki A. Papadimitrakopoulou,John V. Heymach
出处
期刊:Journal of Thoracic Oncology [Elsevier BV]
卷期号:16 (4): 601-609 被引量:39
标识
DOI:10.1016/j.jtho.2020.12.011
摘要

Plasma-based circulating tumor DNA (ctDNA) is an established biomarker for molecular profiling with emerging applications in disease monitoring in multiple tumor types, including, NSCLC. However, determinants of ctDNA shedding and correlation with tumor burden are incompletely understood, particularly in advanced-stage disease.We retrospectively analyzed ctDNA-based and tissue-based genomic data and imaging from 144 patients with NSCLC. Tumor burden was quantified with computed tomography (CT) and brain magnetic resonance imaging for the overall cohort and 18F-fludeoxyglucose positron emission tomography-CT in a subset of patients.There was a moderate but statistically significant correlation between ctDNA variant allele frequency and multiple imaging measures of tumor burden such as CT volume (rho = 0.34, p ≤ 0.0001) and metabolic tumor volume (rho = 0.36, p = 0.003). This correlation was strongest in KRAS-mutant tumors (rho = 0.56, p ≤ 0.001), followed by TP53 mutants (rho = 0.43, p ≤ 0.0001), and weakest in EGFR-mutated (EGFR+) tumors (rho = 0.24, p = 0.077). EGFR+ tumors with EGFR copy number gain had significantly higher variant allele frequency than EGFR+ without copy number gain (p ≤ 0.00001). In multivariable analysis, TP53 and EGFR mutations, visceral metastasis, and tumor burden were independent predictors of increased ctDNA shedding.Levels of detectable ctDNA were affected not only by tumor burden but also by tumor genotype. The genotype-specific differences observed may be due to variations in DNA shedding and cellular turnover. These findings have implications for the emerging use of ctDNA in NSCLC disease monitoring and early detection.

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