Related Experiment Video
Updated: Jun 9, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
Sequential genomic analysis using a multisample/multiplatform approach to better define rhabdomyosarcoma progression
Henry de Traux de Wardin1,2, Josephine K Dermawan1, Marie-Sophie Merlin3
1Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Genomic analysis of rhabdomyosarcoma (RMS) reveals stable genomes in fusion-positive RMS and acquired mutations in fusion-negative RMS. Liquid biopsy effectively detects tumor progression and aids in monitoring treatment response.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- The genomic landscape of rhabdomyosarcoma (RMS) progression from primary to relapsed disease remains incompletely characterized.
- Understanding genomic alterations is crucial for developing effective therapeutic strategies and monitoring treatment response in RMS.
Purpose of the Study:
- To evaluate the sensitivity of various next-generation sequencing (NGS) platforms for genomic profiling of RMS.
- To assess the feasibility of using liquid biopsy for monitoring treatment response and relapse in RMS patients.
- To investigate genomic differences between primary and relapsed fusion-positive (FP-RMS) and fusion-negative (FN-RMS) rhabdomyosarcoma.
Main Methods:
- Paired primary/relapsed tumor samples from 35 RMS patients (18 FP-RMS, 17 FN-RMS) were analyzed using targeted DNA and whole exome sequencing (WES).
- Circulating tumor DNA (ctDNA) from 10 patients was analyzed using a targeted 36-gene RMS panel and shallow whole-genome sequencing (WGS) for copy number variation.
- NGS platforms were compared for sensitivity in detecting single-nucleotide variations, fusions, and copy number alterations.
Main Results:
- Fusion-positive RMS exhibited genomic stability at relapse, with common secondary alterations (CDKN2A/B, MYCN, CDK4) impacting survival.
- Fusion-negative RMS acquired a higher number of new alterations, notably SMARCA2 missense mutations, at relapse.
- ctDNA analysis successfully detected pathognomonic variants at diagnosis in all RMS patients and confirmed relapse in 86% of FP-RMS and 100% of FN-RMS.
- Increased fusion reads in ctDNA correlated with higher disease burden and predicted fatal outcomes.
Conclusions:
- Genomic profiling of paired primary and relapsed RMS samples reveals distinct progression patterns between FP-RMS and FN-RMS.
- Liquid biopsy using ctDNA is a feasible and sensitive approach for detecting RMS alterations and monitoring disease progression and relapse.
- These findings provide a strong rationale for incorporating liquid biopsy into future clinical trials for RMS treatment monitoring.
More Related Videos
10:27Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
09:33Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
Published on: August 25, 2023