SynthesisCells2026
Distant Cutaneous Metastasis of Chordoma: A Systematic Review and Individual-Participant-Data Meta-Analysis of 52 Cases, with an Illustrative Poorly Differentiated Index Case.
Synthesis in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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9 authors.
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Abstract
Chordoma is a rare notochordal malignancy of the axial skeleton, and distant cutaneous metastasis is among its rarest manifestations-an under-recognised mimic of benign and malignant skin tumours that often presents with an incomplete clinical history.
methodsWe performed a systematic review and one-stage individual-participant-data (IPD) meta-analysis of all reported cases of distant cutaneous chordoma metastasis, following PRISMA 2020, and complemented it with an illustrative index case of cutaneous poorly differentiated chordoma in a young adult. Missing case-level data were handled by available-case analysis without imputation, with denominators reported throughout. Pooled prevalences were estimated by logistic-normal random-effects models (heterogeneity by I
resultsForty reports (52 cases) were included; individual data were analysable in 43. Median age was 59 years (range, 2 months-88), male-to-female ratio 2.3:1, sacrococcygeal primary 74% (31/42) and median latency 4.0 years (synchronous to 15). Physaliphorous cells, myxoid stroma and vacuolated cytoplasm dominated, yet brachyury and SMARCB1/INI1 were documented in only 6/52 and 1/52 cases. Pooled prevalences were 74% (95% CI 59-85) for a sacrococcygeal primary, 70% (55-82) for male sex and 77% (62-87) for physaliphorous morphology, with no between-report heterogeneity (I
conclusionsDistant cutaneous chordoma metastasis is a late event that usually signals disseminated disease and a limited life expectancy, commonly months to a few years. Its recognition rests on integrating morphology with nuclear brachyury and, in epithelioid or young presentations, SMARCB1/INI1. We provide a differential-diagnostic framework and algorithm, distinguishing cohort-supported findings from expert interpretation.
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