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Updated: Jun 17, 2025

Tumorsphere Derivation and Treatment from Primary Tumor Cells Isolated from Mouse Rhabdomyosarcomas
Published on: September 13, 2019
Clinical and Molecular Risk Factors in Extracranial Malignant Rhabdoid Tumors: Toward an Integrated Model of
Victoria E Fincke1,2, Mona Steinbügl1,2, Hye-Jung E Chun3
1Pediatrics and Adolescent Medicine, Swabian Children's Cancer Center, University Hospital Augsburg, Augsburg, Germany.
Purpose:
Extracranial malignant rhabdoid tumors (eMRT) are a challenging entity. Despite the use of multimodal treatment approaches, therapy failure occurs in 55% to 67% of these. Molecular markers for identification of patients at increased risk for relapse or refractory (R/R) disease are not available. Clinical characteristics may only insufficiently predict the individual course of disease.
Experimental Design:
Using the EU-RHAB database, we analyzed a cohort of 121 patients with eMRT clinically. For 81 patients, molecular and clinical data were available, which were further complemented with publicly available DNA molecular data from 92 eMRTs. We aimed to delineate molecular risk factors by dissecting the DNA methylome of these tumors. Moreover, we establish clinical characteristics and treatment details of R/R disease in a subcohort of 80 patients.
Results:
Using consensus hierarchical clustering, we identified three distinct subgroups, one of which (eMRT standard risk) was associated with significantly improved survival, irrespective of germline status and/or localization. At the transcriptome level, this subgroup was characterized by an overexpression of genes involved in muscle development. A relevant proportion of patients developed distant relapses or progressions; the median time to the event was 4 months, underlining the need for early identification and risk stratification of R/R disease. The overall survival was significantly decreased in patients with progressive disease when compared with relapse cases, and reaching complete remission during salvage therapy provided a survival benefit.
Conclusions:
Our analysis of eMRT in this comprehensive cohort provides novel insights into the patterns of relapse and integrates molecular and clinical risk factors to guide clinical decision-making.
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