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An international working group consensus report for the prioritization of molecular biomarkers for Ewing sarcoma

Journal

NPJ PRECISION ONCOLOGY
Volume 6, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41698-022-00307-2

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The introduction of dose intensified interval compressed therapy has improved event-free survival for localized Ewing sarcoma patients. However, a significant number of patients still experience relapse and die of the disease, with surviving patients often facing debilitating late effects. Traditional clinical features are inadequate for risk stratification, highlighting the need to develop approaches based on molecular features. New technology has allowed the study of multiple molecular biomarkers in Ewing sarcoma, which may enable risk-adapted treatment in the future.
The advent of dose intensified interval compressed therapy has improved event-free survival for patients with localized Ewing sarcoma (EwS) to 78% at 5 years. However, nearly a quarter of patients with localized tumors and 60-80% of patients with metastatic tumors suffer relapse and die of disease. In addition, those who survive are often left with debilitating late effects. Clinical features aside from stage have proven inadequate to meaningfully classify patients for risk-stratified therapy. Therefore, there is a critical need to develop approaches to risk stratify patients with EwS based on molecular features. Over the past decade, new technology has enabled the study of multiple molecular biomarkers in EwS. Preliminary evidence requiring validation supports copy number changes, and loss of function mutations in tumor suppressor genes as biomarkers of outcome in EwS. Initial studies of circulating tumor DNA demonstrated that diagnostic ctDNA burden and ctDNA clearance during induction are also associated with outcome. In addition, fusion partner should be a pre-requisite for enrollment on EwS clinical trials, and the fusion type and structure require further study to determine prognostic impact. These emerging biomarkers represent a new horizon in our understanding of disease risk and will enable future efforts to develop risk-adapted treatment.

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