Genomic Classification and Clinical Outcome in Rhabdomyosarcoma: A Report From an International Consortium

Jack F. Shern, Joanna Selfe, Elisa Izquierdo, Rajesh Patidar, Hsien Chao Chou, Young K. Song, Marielle E. Yohe, Sivasish Sindiri, Jun Wei, Xinyu Wen, Erin R. Rudzinski, Donald A. Barkauskas, Tammy Lo, David Hall, Corinne M. Linardic, Debbie Hughes, Sabri Jamal, Meriel Jenney, Julia Chisholm, Rebecca BrownKristine Jones, Belynda Hicks, Paola Angelini, Sally George, Louis Chesler, Michael Hubank, Anna Kelsey, Susanne A. Gatz, Stephen X. Skapek, Douglas S. Hawkins, Janet M. Shipley, Javed Khan

Research output: Contribution to journalArticlepeer-review

83 Scopus citations

Abstract

PURPOSE Rhabdomyosarcoma is the most common soft tissue sarcoma of childhood. Despite aggressive therapy, the 5-year survival rate for patients with metastatic or recurrent disease remains poor, and beyond PAXFOXO1 fusion status, no genomic markers are available for risk stratification. We present an international consortium study designed to determine the incidence of driver mutations and their association with clinical outcome. PATIENTS AND METHODS Tumor samples collected from patients enrolled on Children’s Oncology Group trials (1998-2017) and UK patients enrolled on malignant mesenchymal tumor and RMS2005 (1995-2016) trials were subjected to custom-capture sequencing. Mutations, indels, gene deletions, and amplifications were identified, and survival analysis was performed. RESULTS DNA from 641 patients was suitable for analyses. A median of one mutation was found per tumor. In FOXO1 fusion-negative cases, mutation of any RAS pathway member was found in . 50% of cases, and 21% had no putative driver mutation identified. BCOR (15%), NF1 (15%), and TP53 (13%) mutations were found at a higher incidence than previously reported and TP53 mutations were associated with worse outcomes in both fusion-negative and FOXO1 fusion-positive cases. Interestingly, mutations in RAS isoforms predominated in infants, 1 year (64% of cases). Mutation of MYOD1 was associated with histologic patterns beyond those previously described, older age, head and neck primary site, and a dismal survival. Finally, we provide a searchable companion database (ClinOmics), containing all genomic variants, and clinical annotation including survival data. CONCLUSION This is the largest genomic characterization of clinically annotated rhabdomyosarcoma tumors to date and provides prognostic genetic features that refine risk stratification and will be incorporated into prospective trials.

Original languageEnglish (US)
Pages (from-to)2859-2871
Number of pages13
JournalJournal of Clinical Oncology
Volume39
Issue number26
DOIs
StatePublished - Sep 10 2021

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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