Bin Qiu; Wei Guo; Fan Zhang; Fang Lv; Ying Ji; Yue Peng; Xiaoxi Chen; Hua Bao; Yang Xu; Yang Shao; Fengwei Tan; Qi Xue; Shugeng Gao; Jie He · 2021 · Nature Communications
Paper
Accurately evaluating minimal residual disease (MRD) could facilitate early intervention and personalized adjuvant therapies. Here, using ultradeep targeted next-generation sequencing (NGS), we evaluate the clinical utility of circulating tumor DNA (ctDNA) for dynamic recurrence risk and adjuvant chemotherapy (ACT) benefit prediction in resected non-small cell lung cancer (NSCLC). Both postsurgical and post-ACT ctDNA positivity are significantly associated with worse recurrence-free survival. In stage II-III patients, the postsurgical ctDNA positive group benefit from ACT, while ctDNA negative patients have a low risk of relapse regardless of whether or not ACT is administered. During disease surveillance, ctDNA positivity precedes radiological recurrence by a median of 88 days. Using joint modeling of longitudinal ctDNA analysis and time-to-recurrence, we accurately predict patients' postsurgical 12-month and 15-month recurrence status. Our findings reveal longitudinal ctDNA analysis as a promising tool to detect MRD in NSCLC, and we show pioneering work of using postsurgical ctDNA status to guide ACT and applying joint modeling to dynamically predict recurrence risk, although the results need to be further confirmed in future studies.
Analysis
This study demonstrates that longitudinal ctDNA analysis using ultradeep NGS can dynamically predict recurrence risk and identify patients who benefit from adjuvant chemotherapy in resected non-small cell lung cancer (NSCLC), with ctDNA positivity preceding radiological recurrence.
Discovery
Naveed Shuja
Dr. Erhan OKTAY
Michaela Kuhlen; Maximilian Schmut; Markus Metzle; R. Claus
Noriyoshi Sawabata
Aarchi Singh Thakur; Abhijoy Sarkar
Faeze Shahraki; Azadeh Meshkini; Elham Nazari
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