Research Questions

Refining risk stratification protocols and enhancing risk prediction in the pediatric population

Refining risk stratification protocols and enhancing risk prediction in the pediatric population to identify children at risk of developing hematologic cancers: While the treatment outcome of children with acute leukemias (e.g., acute myeloid leukemia and ALL) has improved over the years, there remains a population of these patients who are unable to respond favorably to available therapies. Predicting poor response remains to be challenge. In addition to supporting sequencing studies that determine risk factors for hematologic cancers in the pediatric population, this initiative could facilitate the development of a data eco-system that connects genomic datasets with biospecimen data.

How will your idea make a difference

By interconnecting various datasets with biospecimen repositories, the field may begin to determine effective predictive biomarkers that could identify non-responders or pediatric patients at risk of developing severe adverse events to therapies. The recognition of such predictive biomarkers could help define optimal therapeutic strategies for children with acute leukemias.

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Idea No. 973