Longitudinal plasma and CSF ctDNA profiling as used to define therapeutic landmarks and compartmentalized clonal evolution in rhabdomyosarcoma.
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
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (19)
Yizhuo Zhang
Suying Lu
Feifei Sun
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
Zijun Zhen
Sun Yat-sen Univeresity Cancer Center, Guangzhou, China
Ruiqing Cai
Sun Yat-sen University Cancer Center, Guangzhou, China
Yi Que
Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
Yu Zhang
Xiangya Hospital, Central South University Changsha China
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
Linnan Wu
Sun Yat-sen University Cancer, Guangzhou, Guangdong, China
Yongqin Qin
Sun Yat-sen University Cancer, Guangzhou, Guangdong, China
Yanpeng Wu
Shanghai Institute of Infectious Disease and Biosecurity, Fudan University
Xiheng Lin
The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
Cuiping Meng
The First Afflated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
Jiaxi Zhang
Guangdong Provincial Key Laboratory of Fuel Cell Technology School of Chemistry and Chemical Engineering South China University of Technology Guangzhou 510641 China
Dongqin Zhu
Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
Yang Shao
China-United States (Henan) Hormel Cancer Institute
Juan Wang
Department of Chemical and Biomolecular Engineering
Junting Huang