Answers are grounded in this paper and cite their sources.
Modeling developmental timing enhances understanding of distinct cancer behaviors in different age groups, suggesting implications for treatment.
Oncogenic mutations can have fundamentally different consequences depending on the developmental state of the tissue in which they arise. We propose a unifying model in which early-life oncogenic events promote retention, stabilization of transient embryo-fetal transcriptional and epigenetic programs, whereas later-life mutations more often require rewiring, reactivating suppressed oncofetal states through stepwise transcriptional and chromatin remodeling. This temporal dimension helps explain why childhood and adult cancers can follow distinct lineage trajectories, behaviors, and therapeutic responses, even when initiated by the same genetic lesion. Incorporating developmental timing into cancer modeling and risk stratification may improve prognostic resolution and reveal stage-specific vulnerabilities.
No takes yet. Share an insight, caveat, or question.
Saniei et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: