Oncotarget

Clinical Research Papers:

Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database

Yaping Wang, Jie Huang, Liucheng Rong, Peng Wu, Meiyun Kang, Xuejie Zhang, Qin Lu and Yongjun Fang _

PDF  |  HTML  |  Supplementary Files  |  How to cite

Oncotarget. 2016; 7:83767-83774. https://doi.org/10.18632/oncotarget.11765

Metrics: PDF 1671 views  |   HTML 2268 views  |   ?  


Abstract

Yaping Wang1,*, Jie Huang1,*, Liucheng Rong1,*, Peng Wu1, Meiyun Kang1, Xuejie Zhang1, Qin Lu1 and Yongjun Fang1

1 Department of Hematology and Oncology, Children’s Hospital of Nanjing Medical University, Nanjing, China

* These authors have contributed equally to this work

Correspondence to:

Yongjun Fang, email:

Keywords: surveillance; epidemiology; leukemia; age; Kaplan-Meier

Received: June 29, 2016 Accepted: August 26, 2016 Published: August 31, 2016

Abstract

BACKGROUND & AIMS: Age at diagnosis is a key factor for predicting the prognosis of pediatric leukemia especially regarding the survivorship assessment. In this study, we aimed to assess the impact of this prognostic factor such as age in children with pediatric leukemia.

METHODS: In this study, Surveillance, Epidemiology, and End Results Program-registered children with leukemia during 1988-2013 were analyzed. All patients were divided into five groups according to the age at the time of diagnosis (<1, 1-4, 5-9, 10-15, >15 years old). Kaplan-Meier and multivariable Cox regression models were used to evaluate leukemia survival outcomes and risk factors.

RESULTS: There was significant variability in pediatric leukemia survival by age at diagnosis including ALL, AML and CML subtypes. According to the survival curves in each group, survival rate were peaked among children diagnosed at 1–4 years and steadily declined among those diagnosed at older ages in children with ALL. Infants (<1 year) had the lowest survivorship in children with either ALL or AML. However, children (1-4 years) harbored the worst prognosis suffering from CML. A stratified analysis of the effect of age at diagnosis was validated as independent predictors for the prognosis of pediatric leukemia.

CONCLUSIONS: Age at diagnosis remained to be a crucial determinant of the survival variability of pediatric leukemia patients.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 11765