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Primary central nervous system T-cell lymphoma: An analysis from the surveillance, epidemiology, and end results program

Authors :
Hai Wang
Songtao Qi
Siyi Li
Jun Wang
Hao Long
Yuan Xu
Kewan Wang
Ruqi Li
Yuzhen Zhang
Tszhei Fong
Kaijun Yang
Nan Xu
Chen Yang
Source :
Journal of Clinical Neuroscience. 79:74-79
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Primary central nervous system T-cell lymphoma (PCNSTCL) is a rare neoplasm with few data regarding its common features and survival characteristics.To explore the Surveillance, Epidemiology, and End Results 18 (SEER 18) database to determine the epidemiology of PCNSTCL.The SEER 18 registry database was queried to identify patients diagnosed with PCNSTCL from 1973 to 2014 and extract their information. Age-specific rates and Kaplan-Meier overall survival (OS) were calculated. A Cox proportional hazards model was applied to investigate relationships between various demographic/treatment variables and OS.The age-specific incidence rates were higher in the older population (≥60 years). Among 59 PCNSTCL cases from the SEER 18, the mean age at presentation was 55.8 years (SD, ±17.95), with a male predominance (1.36:1.00). The median follow-up was 8 months, and the median OS was 8 months (SE, ±4.162). The 1-, 3-, and 5-year OS was 46.3% [95% CI, 33.4%-59.2%], 32.8% [20.3%-45.3%], and 32.8% [20.3%-45.3%], respectively. Seventeen of the 59 patients survived at last follow-up. Patients 60 years had a greater 3-year OS compared with patients ≥ 60 years (52.6% [33.6%-71.6%] vs 13.9% [1.4%-26.4%]. Multivariate analysis has demonstrated that only age at diagnosis (≥60/60 years) exhibited a significant relationship with OS (HR, 3.495 [1.688-7.235];p = 0.001). Sex (female/male) was observed to have a doubted trend towards significance (HR, 0.487 [0.231-1.030]; p = 0.060).PCNSTCL is generally of poor prognosis but younger age at diagnosis (60 years) predicts a better prognosis.

Details

ISSN :
09675868
Volume :
79
Database :
OpenAIRE
Journal :
Journal of Clinical Neuroscience
Accession number :
edsair.doi.dedup.....0813b2f12721056b3d07b3caae073017
Full Text :
https://doi.org/10.1016/j.jocn.2020.07.020