Clinical Genomic Sequencing of Pediatric and Adult Osteosarcoma Reveals Distinct Molecular Subsets with Potentially Targetable Alterations.
retrospective_cohort · Level III
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- Record sourced from PubMed, PMID 31175097.
- Also identified by DOI 10.1158/1078-0432.CCR-18-4032 and PMC identifier 6825534.
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Abstract
Although multimodal chemotherapy has improved outcomes for patients with osteosarcoma, the prognosis for patients who present with metastatic and/or recurrent disease remains poor. In this study, we sought to define how often clinical genomic sequencing of osteosarcoma samples could identify potentially actionable alterations.<b>Experimental Design:</b> We analyzed genomic data from 71 osteosarcoma samples from 66 pediatric and adult patients sequenced using MSK-IMPACT, a hybridization capture-based large panel next-generation sequencing assay. Potentially actionable genetic events were categorized according to the OncoKB precision oncology knowledge base, of which levels 1 to 3 were considered clinically actionable. We found at least one potentially actionable alteration in 14 of 66 patients (21%), including amplification of <i>CDK4</i> (<i>n</i> = 9, 14%: level 2B) and/or <i>MDM2</i> (<i>n</i> = 9, 14%: level 3B), and somatic truncating mutations/deletions in <i>BRCA2</i> (<i>n</i> = 3, 5%: level 2B) and <i>PTCH1</i> (<i>n</i> = 1, level 3B). In addition, we observed mutually exclusive patterns of alterations suggesting distinct biological subsets defined by gains at 4q12 and 6p12-21. Specifically, potentially targetable gene amplifications at 4q12 involving <i>KIT, KDR,</i> and <i>PDGFRA</i> were identified in 13 of 66 patients (20%), which showed strong PDGFRA expression by IHC. In another largely nonoverlapping subset of 14 patients (24%) with gains at 6p12-21, <i>VEGFA</i> amplification was identified. We found potentially clinically actionable alterations in approximately 21% of patients with osteosarcoma. In addition, at least 40% of patients have tumors harboring <i>PDGFRA</i> or <i>VEGFA</i> amplification, representing candidate subsets for clinical evaluation of additional therapeutic options. We propose a new genomically based algorithm for directing patients with osteosarcoma to clinical trial options.
Medical subject headings
- Genomics
- Molecular Targeted Therapy
- Neoplasm Proteins
- Osteosarcoma