Longitudinal plasma and CSF ctDNA profiling as used to define therapeutic landmarks and compartmentalized clonal evolution in rhabdomyosarcoma.

Y Yizhuo Zhang S Suying Lu F Feifei Sun J Jia Zhu (National Laboratory of Solid State Microstructures, School of Sustainable Energy and Resources, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative Innovation Center of Advanced Microstructures, Frontiers Science Center for Critical Earth Material Cycling) Z Zijun Zhen (Sun Yat-sen Univeresity Cancer Center, Guangzhou, China) R Ruiqing Cai (Sun Yat-sen University Cancer Center, Guangzhou, China) Y Yi Que (Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China) Y Yu Zhang (Xiangya Hospital, Central South University Changsha China) M Mengjia Song (Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China) L Linnan Wu (Sun Yat-sen University Cancer, Guangzhou, Guangdong, China) Y Yongqin Qin (Sun Yat-sen University Cancer, Guangzhou, Guangdong, China) Y Yanpeng Wu (Shanghai Institute of Infectious Disease and Biosecurity, Fudan University) X Xiheng Lin (The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China) C Cuiping Meng (The First Afflated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong, China) J Jiaxi Zhang (Guangdong Provincial Key Laboratory of Fuel Cell Technology School of Chemistry and Chemical Engineering South China University of Technology Guangzhou 510641 China) D Dongqin Zhu (Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China) Y Yang Shao (China-United States (Henan) Hormel Cancer Institute) J Juan Wang (Department of Chemical and Biomolecular Engineering) J Junting Huang

Abstract

11517 Background: Current risk stratification in rhabdomyosarcoma (RMS) relies on static pretreatment variables, which fail to capture dynamic tumor evolution and molecular residual disease under therapeutic pressure. Although liquid biopsy offers a non-invasive solution, clinical implementation has been constrained by a reliance on retrospective datasets and the lack of prospectively validated therapeutic landmarks or compartmentalized monitoring strategies. Methods: We conducted the largest multi-center, prospective liquid biopsy study to date, enrolling 143 treatment-naïve RMS patients (Aug 2020–Feb 2025; 91.6% intermediate/high-risk). We utilized ultra-deep (>5,000×) sequencing (506-gene panel) on matched tumor, longitudinal plasma (n=292), and cerebrospinal fluid (CSF) from patients with parameningeal or central nervous system (CNS) metastatic disease. Critically, paired tissue and plasma were collected at disease progression (PD) to map evolutionary trajectories. Genomic alterations were correlated with progression-free survival (PFS) and overall survival (OS) using univariate and multivariate Cox regression. Results: Baseline profiling identified MYOD1 mutation as the strongest independent predictor of inferior PFS (HR 6.52, P=0.003), while MYCN amplification defined a novel "ultra-high-risk" fusion-positive subset (OS, P<0.001). Baseline ctDNA positivity (66.7%) correlated with advanced disease (P<0.001). Longitudinally, persistent ctDNA at Cycle 5 Day 1 (C5D1) conferred a 12-fold increased progression risk (HR=12.2, P=0.004), establishing C5D1 as the definitive prognostic landmark. Patients with positive longitudinal ctDNA harbored a nearly 6-fold increased risk of progression (HR = 5.97, 95% CI 2.25–15.85, P < 0.001) and a 12-fold increased risk of death (HR = 12.4, 95% CI 1.42–108.37, P = 0.023) compared to those with sustained negativity. Analysis of paired samples at relapse revealed subclonal replacement driven by therapeutic pressure, enriching for acquired resistance alterations in TP53 and DNA damage response (DDR) pathways undetectable by static assays. Additionally, paired CSF-plasma profiling in parameningeal/CNS disease identified the CNS as an evolutionary "sanctuary site" harboring distinct, compartment-specific drivers (e.g., TP53, HRAS) divergent from plasma. Conclusions: This prospective study establishes ctDNA as a critical biomarker for RMS, defining MYOD1, MYCN, and TP53 as key genomic risk factors and validating C5D1 as the optimal therapeutic landmark. Deep longitudinal profiling uncovers subclonal replacement and compartmentalized CNS evolution as drivers of treatment failure, advocating for comprehensive, compartment-specific monitoring in next-generation risk-adapted trials. Clinical trial information: NCT05778955 .

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 11517-11517
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (19)

Y

Yizhuo Zhang

S

Suying Lu

F

Feifei Sun

J

Jia Zhu

National Laboratory of Solid State Microstructures, School of Sustainable Energy and Resources, Jiangsu Key Laboratory of Artificial Functional Materials, Collaborative Innovation Center of Advanced Microstructures, Frontiers Science Center for Critical Earth Material Cycling

Z

Zijun Zhen

Sun Yat-sen Univeresity Cancer Center, Guangzhou, China

R

Ruiqing Cai

Sun Yat-sen University Cancer Center, Guangzhou, China

Y

Yi Que

Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China

Y

Yu Zhang

Xiangya Hospital, Central South University Changsha China

M

Mengjia Song

Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China

L

Linnan Wu

Sun Yat-sen University Cancer, Guangzhou, Guangdong, China

Y

Yongqin Qin

Sun Yat-sen University Cancer, Guangzhou, Guangdong, China

Y

Yanpeng Wu

Shanghai Institute of Infectious Disease and Biosecurity, Fudan University

X

Xiheng Lin

The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China

C

Cuiping Meng

The First Afflated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong, China

J

Jiaxi Zhang

Guangdong Provincial Key Laboratory of Fuel Cell Technology School of Chemistry and Chemical Engineering South China University of Technology Guangzhou 510641 China

D

Dongqin Zhu

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

Y

Yang Shao

China-United States (Henan) Hormel Cancer Institute

J

Juan Wang

Department of Chemical and Biomolecular Engineering

J

Junting Huang