The Abundance of Available Precursor Cells Can Drive Pediatric Cancer Incidence: Insights From an Algebraic Model
Verification of our models for Ewing sarcoma with experimental data can predict how the risk of oncogenic events for pediatric cancers changes with age. Our algebraic model is a novel articulation of the biological concepts that drive pediatric oncogenesis and can be applied to the observed age distributions of nearly all pediatric cancer types.
Authors
- Nakul Shankar
- Michael Arnold (ORCID: https://orcid.org/0000-0002-6921-3720)
Institutions
- Children's Hospital Colorado (US)
- University of Colorado Anschutz Medical Campus (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- Archives of Pathology & Laboratory Medicine
- Published
- 2025-11-25
- DOI
- https://doi.org/10.5858/arpa.2025-0255-oa
- Primary Topic
- Neuroblastoma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00