Multi-omic ctDNA-based MRD for predicting clinical outcomes in advanced NSCLC receiving chemoimmunotherapy.

Y Yun Fan (Zhejiang Cancer Hospital, Hangzhou, China) H Hui Li S Sizhe Yu (Zhejiang Cancer Hospital, Hangzhou, China) Y Yanjun Xu J Jing Qin (School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University) K Kaiyan Chen (Zhejiang Cancer Hospital, Hangzhou, China) L Lei Gong (College of Chemistry and Chemical Engineering) H Hongyang Lu (Key Laboratory of Organosilicon Chemistry and Material Technology Zhejiang Key Laboratory of Organosilicon Material Technology College of Materials Ministry of Education Chemistry and Chemical Engineering Hangzhou Normal University Hangzhou P. R. China) Z Zhiyu Huang (Department of Chemistry, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark) S Sini Li (Zhejiang Cancer Hospital, Hangzohu, China) S Shichao Zhou (Zhejiang Cancer Hospital, Hangzhou, China) F Fajun Xie (Zhejiang Cancer Hospital, Hangzhou, China) N Na Han Y Ying Jin H Hao Zhang J Junrong Yan H Hua Bao H Haimeng Tang (Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China) S Shuang Chang (Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China)

Abstract

8576 Background: Immune checkpoint inhibitors (ICIs) have revolutionized treatment for advanced non–small cell lung cancer (aNSCLC); however, many patients achieving radiographic partial or complete response (PR/CR) relapse early. This underscores the need for more precise risk stratification after an initial response. We investigated whether circulating tumor DNA -based minimal residual disease (ctDNA-MRD) assessment could stratify patients with durable benefit versus those at risk of early progression after chemoimmunotherapy (Chemo-IO). Methods: We analyzed 152 retrospective and 60 prospective aNSCLC patients who achieved PR/CR after first-line (1L) PD-1-based Chemo-IO. Plasma was collected at the first imaging-confirmed PR/CR (retrospective) or at baseline and Cycle 5 Day 1 (C5D1; prospective). ctDNA-MRD was assessed using a tumor-naïve, mutation-based panel and a fragmentomics model derived from low-pass whole-genome sequencing (LP-WGS). In the retrospective cohort, 89 patients were used for LP-WGS model training and 63 for validation. Risk stratification was evaluated using progression-free (PFS) and overall survival (OS). Results: In the retrospective validation cohort (n = 63), both the mutation- and fragmentomic-based assays stratified PFS and OS. For the mutation-based assay, median PFS (mPFS) was 27.0 vs. 10.1 months (negative vs. positive; Hazard ratios [HR] 0.414, 95% confidence intervals [CI] 0.211‒0.814, p = 0.008) and median OS (mOS) was not reached (NR) vs. 17.5 months (HR 0.341, 95% CI 0.151‒0.768, p = 0.007). For the LP-WGS-based model, mPFS was 27.0 vs. 13.8 months (HR 0.412, 95% CI 0.216‒0.785, p = 0.005) and mOS was NR vs. 25.1 months (HR 0.355, 95% CI 0.158‒0.795, p = 0.009). Integration using an either-assay-positive definition further improved prognostic discrimination, with mPFS NR vs. 13.8 months (HR 0.379, 95% CI 0.201‒0.714, p = 0.002) and mOS NR vs. 25.1 months (HR 0.324, 95% CI 0.143‒0.730, p = 0.004). In the prospective cohort (n = 60), both assays at C5D1 identified patients at higher risk of progression: mutation-based mPFS 18.3 vs. 6.1 months (HR 0.184, 95% CI 0.075‒0.457, p < 0.0001); LP-WGS-based mPFS NR vs. 5.3 months (HR 0.178, 95% CI 0.070‒0.456, p < 0.0001). Integration-based mPFS was NR vs. 6.5 months (HR 0.130, 95% CI 0.039‒0.440, p = 0.0001). Multivariable analysis confirmed the independent and complementary prognostic value of both approaches across cohorts. Conclusions: Both mutation- and fragmentation-based ctDNA-MRD assays effectively stratified risk among aNSCLC patients with radiographic response to 1L Chemo-IO. Their integration further improved prognostic performance, refining risk beyond imaging-defined PR/CR and informing post-response management decisions.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 8576-8576
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (19)

Y

Yun Fan

Zhejiang Cancer Hospital, Hangzhou, China

H

Hui Li

S

Sizhe Yu

Zhejiang Cancer Hospital, Hangzhou, China

Y

Yanjun Xu

J

Jing Qin

School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University

K

Kaiyan Chen

Zhejiang Cancer Hospital, Hangzhou, China

L

Lei Gong

College of Chemistry and Chemical Engineering

H

Hongyang Lu

Key Laboratory of Organosilicon Chemistry and Material Technology Zhejiang Key Laboratory of Organosilicon Material Technology College of Materials Ministry of Education Chemistry and Chemical Engineering Hangzhou Normal University Hangzhou P. R. China

Z

Zhiyu Huang

Department of Chemistry, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark

S

Sini Li

Zhejiang Cancer Hospital, Hangzohu, China

S

Shichao Zhou

Zhejiang Cancer Hospital, Hangzhou, China

F

Fajun Xie

Zhejiang Cancer Hospital, Hangzhou, China

N

Na Han

Y

Ying Jin

H

Hao Zhang

J

Junrong Yan

H

Hua Bao

H

Haimeng Tang

Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China

S

Shuang Chang

Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China