1. Incidence and survival of choroid plexus tumors in the United States.
- Author
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Takaoka, Kailey, Cioffi, Gino, Waite, Kristin A, Finlay, Jonathan L, Landi, Daniel, Greppin, Kaitlyn, Kruchko, Carol, Ostrom, Quinn T, and Barnholtz-Sloan, Jill S
- Subjects
CHOROID plexus ,BRAIN tumors ,OVERALL survival ,RACE ,POPULATION statistics - Abstract
Background There are limited data available on incidence and survival of patients with choroid plexus tumors (CPT). This study provides the most current epidemiological analysis of choroid plexus tumors from 2004 to 2017 in the United States. Methods Data on 2013 patients with CPT were acquired from the Central Brain Tumor Registry of the United States in collaboration with the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute, from 2004 to 2017. CPT cases were classified by the following pathological subtypes: choroid plexus papilloma (CPP), atypical choroid plexus papilloma (aCPP), and choroid plexus carcinoma (CPC). Frequencies and age-adjusted incidence rates (AAIR) per 100 000 and rate ratios per 100 000 (IRR) were reported for age, sex, race, and ethnicity for each pathological subtype with 95% confidence intervals (95% CI). Using CDC's National Program of Cancer Registries survival database, survival curves and hazard ratios (HRs) evaluated overall survival from 2001 to 2016. Results CPP had the highest overall incidence (AAIR: 0.034, 95% CI: 0.033–0.036), followed by CPC (AAIR: 0.008, 95% CI: 0.008–0.009) and aCPP (AAIR: 0.005, 95% CI: 0.005–0.006). Incidence was highest among children less than one year old among all subtypes (CPP AAIR: 0.278; aCPP AAIR: 0.140; CPC AAIR: 0.195), reducing as patients aged. Overall survival was worse among patients with CPC, being five times more likely to die compared to patients with CPP (HR: 5.23, 95% CI: 4.05–7.54, P < .001). Conclusions This analysis is the most current and comprehensive study in the US on the incidence and survival for CPT. Population based statistics provide critical information in understanding disease characteristics, which impact patient care and prognosis. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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