Implementing circulating tumor DNA as a prognostic biomarker in resectable non-small cell lung cancer

被引:16
作者
Abbosh, Chris [1 ,9 ]
Hodgson, Darren [1 ]
Doherty, Gary J. [2 ]
Gale, Davina [1 ]
Black, James R. M. [3 ,4 ,5 ]
Horn, Leora [6 ]
Reis-Filho, Jorge S. [7 ]
Swanton, Charles [3 ,4 ,5 ,8 ]
机构
[1] Early Oncol AstraZeneca, Canc Biomarker Dev, Cambridge, England
[2] AstraZeneca, Late Dev Oncol, Cambridge, England
[3] UCL, Canc Inst, Canc Res UK Lung Canc Ctr Excellence, London, England
[4] Francis Crick Inst, Canc Evolut & Genome Instabil Lab, London, England
[5] UCL, Canc Inst, London, England
[6] AstraZeneca, Clin Dev, Late Oncol, Nashville, TN USA
[7] AstraZeneca, Canc Biomarker Dev, Early Oncol, Gaithersburg, MD USA
[8] Univ Coll London Hosp, Dept Med Oncol, London, England
[9] SAGA Diagnost, Boston, MA USA
关键词
MOLECULAR RESIDUAL DISEASE; ADJUVANT THERAPY; PATIENTS PTS; 8TH EDITION; ASSOCIATION; INSTABILITY; VALIDATION; CISPLATIN; SYSTEM; NSCLC;
D O I
10.1016/j.trecan.2024.04.004
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Systemic treatment of resectable non-small cell lung cancer (NSCLC) is evolving with emerging neoadjuvant, perioperative, and adjuvant immunotherapy approaches. Circulating tumor DNA (ctDNA) detection at clinical diagnosis, during neoadjuvant therapy, or after resection may discern high-risk patients who might benefit from therapy escalation or switch. This Review summarizes translational implications of data supporting ctDNA-based risk determination in NSCLC and outstanding questions regarding ctDNA validity/utility as a prognostic biomarker. We discuss emerging ctDNA capabilities to refine clinical tumor-node-metastasis (TNM) staging in lung adenocarcinoma, ctDNA dynamics during neoadjuvant therapy for identifying patients deriving suboptimal benefit, and postoperative molecular residual disease (MRD) detection to escalate systemic therapy. Considering differential relapse characteristics in landmark MRD-negative/MRD-positive patients, we propose how ctDNA might integrate with pathological response data for optimal postoperative risk stratification.
引用
收藏
页码:643 / 654
页数:12
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