Journal article
De novo versus secondary dedifferentiated chordomas: a population-based analysis and integrated individual participant data meta-analysis
World neurosurgery, Vol.173, pp.208-217.e7
05/2023
DOI: 10.1016/j.wneu.2023.02.062
PMID: 36804481
Abstract
There is a lack of data about the clinicopathological and molecular characteristics of de npovo versus secondary dedifferentiated chordoma (DC). This integrated study aimed to investigate the similarities and differences in clinicopathological manifestations, prognoses, and molecular profiles of these two subtypes.
We accessed the Surveillance, Epidemiology, End Results Program (SEER) for DC cases from 1975-2020. Three electronic databases were also searched for additional DCs. Individual patient data (IPD) of DC patients from SEER and published literature were combined in integrated analyses.
After excluding duplicated patients, we identified 14 and 116 DC patients from SEER and published literature, respectively. There were 74 de novo, 39 secondary, and 18 cases with unknown origin. Our results showed that de novo and secondary DCs were not statistically different in terms of age, gender, primary location, tumor size, distant metastasis at diagnosis, extent of resection, and chemotherapy receipt. There was limited available molecular data for de novo and secondary DCs, though examples TP53 mutations were found in both. In addition, the rates of tumor relapse, metastasis during follow-up, and patient mortality were also comparable between the two groups. In the multivariate Cox regression model, we demonstrated that gross total removal and radiotherapy use were associated with prolonged survival of DCs.
De novo and secondary DCs were statistically comparable in terms of patient demographics, clinical manifestations, and prognoses. Gross total excision and radiotherapy were optimal treatments associated with better outcomes of DC patients.
Details
- Title: Subtitle
- De novo versus secondary dedifferentiated chordomas: a population-based analysis and integrated individual participant data meta-analysis
- Creators
- Huy Gia Vuong - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA, 52242Minh-Khang Le - University of YamanashiTruong P.X. Nguyen - Chulalongkorn UniversityKathryn Eschbacher - University of Iowa
- Resource Type
- Journal article
- Publication Details
- World neurosurgery, Vol.173, pp.208-217.e7
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.wneu.2023.02.062
- PMID
- 36804481
- ISSN
- 1878-8750
- eISSN
- 1878-8769
- Language
- English
- Electronic publication date
- 02/16/2023
- Date published
- 05/2023
- Academic Unit
- Pathology
- Record Identifier
- 9984371159802771
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