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External Validation of a Nomogram and Risk Grouping System for Predicting Individual Prognosis of Patients With Medulloblastoma
- Source :
- Frontiers in Pharmacology, Frontiers in Pharmacology, Vol 11 (2020)
- Publication Year :
- 2020
- Publisher :
- Frontiers Media S.A., 2020.
-
Abstract
- Background: Medulloblastoma (MB) is one of the most malignant neuroepithelial tumors in the central nervous system. This study aimed to establish an effective prognostic nomogram and risk grouping system for predicting overall survival (OS) of patients with MB.Materials and Methods: The nomogram was constructed based on data from the database of Surveillance, Epidemiology, and End Results (SEER). This database consisted of 2,824 patients with medulloblastoma and was used as the training cohort. The data of another additional 161 patients treated at the Sun Yat-sen University Cancer Center (SYSUCC) were used as the external validation cohort. Cox regression analysis was used to select independent prognostic factors. Concordance index (C-index) and calibration curve were used to predict the prognostic effect of the nomogram for overall survival.Results: In the training cohort, Cox regression analyses showed that the prognostic factors included histopathology, surgery, radiotherapy, chemotherapy, tumor size, dissemination, and age at diagnosis. The internal and external validated C-indexes were 0.681 and 0.644, respectively. Calibration curves showed that the nomogram was able to predict 1-, 3-, and 5-year OS for patients with MB precisely. Using the training cohort, a risk grouping system was built, which could perfectly classify patients into four risk nomogroups with a 5-year survival rate of 83.9%, 76.5%, 64.5%, and 46.8%, respectively.Conclusion: We built and validated a nomogram and risk grouping system that can provide individual prediction of OS and distinguish MB patients from different risk groups. This nomogram and risk grouping system could help clinicians making better treatment plan and prognostic assessment.
- Subjects :
- Oncology
medicine.medical_specialty
genetic structures
medicine.medical_treatment
overall survival
Internal medicine
Epidemiology
Surveillance, Epidemiology, and End Results
Medicine
Pharmacology (medical)
training cohort
Survival rate
Original Research
Medulloblastoma
Pharmacology
business.industry
Proportional hazards model
lcsh:RM1-950
validation cohort
Nomogram
medicine.disease
Radiation therapy
neuroepithelial tumors
lcsh:Therapeutics. Pharmacology
Cohort
business
Subjects
Details
- Language :
- English
- ISSN :
- 16639812
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Frontiers in Pharmacology
- Accession number :
- edsair.doi.dedup.....6c8aac1c1f24c0ed0dae9605b4417f9a