The landscape of pediatric differentiated thyroid carcinoma and predictors of invasive disease: a CATC study
Year: 2026
Type: article
Study design: Observational Study
Abstract: CONTEXT: Differentiated thyroid carcinoma (DTC) is rare in children, comprising 2% to 4% of pediatric cancers. Because of low case volumes at individual institutions, comprehensive data on patient and tumor characteristics and treatment outcomes are limited. The Child and Adolescent Thyroid Consortium was established in 2019 to address this gap and to assess impact of changes in practice on outcomes. OBJECTIVE: This inaugural Child and Adolescent Thyroid Consortium study analyzes the landscape of pediatric DTC and predictors of invasive disease. DESIGN: International, multicenter retrospective analysis of children (<age 19 years) with DTC diagnosed from 2010 to 2019. SETTING: Five high-volume pediatric centers. RESULTS: The cohort included 715 children (78.3% female) diagnosed with DTC at median age 15.2 years (range: 3.2-18.9). There were 673 (94%) patients with papillary thyroid carcinoma (PTC) and 42 (6%) had follicular thyroid carcinoma. Among patients with PTC, stage 1(M0) disease was present in 562 individuals (83.5%; 222 N0, 161 N1a, and 179 N1b). Stage 2 (M1) disease was present in 111 (16.5%) children with PTC and 1/42 (2.4%) with follicular thyroid carcinoma. Males and children aged <10 years exhibited more advanced T, N, and M stages. Any extrathyroidal extension correlated with increased nodal and pulmonary metastases. Oncogenic fusions, compared with BRAFV600E, were associated with more advanced N and M stages. Deintensification of therapy since 2015 was not associated with changes in disease outcomes. CONCLUSION: Invasive DTC is associated with age <10 years, male sex, tumors driven by oncogenic fusions, and extrathyroidal extension. Despite less aggressive therapies in recent years, disease outcomes have not worsened. Recognition of these associations may guide care and prognostication.
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,750
OpenAlex ID: W7155508900
