DNA methylation-based classifier for accurate molecular diagnosis of bone sarcomas

S. Peter Wu, Benjamin T. Cooper, Fang Bu, Christopher J. Bowman, J. Keith Killian, Jonathan Serrano, Shiyang Wang, Twana M. Jackson, Daniel Gorovets, Neerav Shukla, Paul A. Meyers, David J. Pisapia, Richard Gorlick, Marc Ladanyi, Kristen Thomas, Matija Snuderl, Matthias A. Karajannis

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Purpose Pediatric sarcomas provide a unique diagnostic challenge. There is considerable morphologic overlap between entities, increasing the importance of molecular studies in the diagnosis, treatment, and identification of therapeutic targets. We developed and validated a genome-wideDNAmethylation-based classifier to differentiate between osteosarcoma, Ewing sarcoma, and synovial sarcoma. Methods DNA methylation status of 482,421 CpG sites in 10 Ewing sarcoma, 11 synovial sarcoma, and 15 osteosarcoma samples were determined using the Illumina Infinium HumanMethylation450 array. We developed a random forest classifier trained from the 400 most differentially methylated CpG sites within the training set of 36 sarcoma samples. This classifier was validated on data drawn from The Cancer Genome Atlas synovial sarcoma, TARGET-Osteosarcoma, and a recently published series of Ewing sarcoma. Results Methylation profiling revealed three distinct patterns, each enriched with a single sarcoma subtype. Within the validation cohorts, all samples from The Cancer Genome Atlas were accurately classified as synovial sarcoma (10 of 10; sensitivity and specificity, 100%), all but one sample from TARGET-Osteosarcoma were classified as osteosarcoma (85 of 86; sensitivity, 98%; specificity, 100%), and 14 of 15 Ewing sarcoma samples were classified correctly (sensitivity, 93%; specificity, 100%). The single misclassified osteosarcoma sample demonstrated high EWSR1 and ETV1 expression on RNA sequencing, although no fusion was found on manual curation of the transcript sequence.Twoadditional clinical samples that were difficult to classify by morphology and molecular methods were classified as osteosarcoma; one had been suspected of being a synovial sarcoma and the other of being Ewing sarcoma on initial diagnosis. Conclusion Osteosarcoma, synovial sarcoma, and Ewing sarcoma have distinct epigenetic profiles. Our validated methylation-based classifier can be used to provide diagnostic assistance when histologic and standard techniques are inconclusive.

Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalJCO Precision Oncology
Volume2017
Issue number1
DOIs
StatePublished - 2017
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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