Find Datasets from
UMB Researchers

FLT3-ITD Allelic Burden and Acute Promyelocytic Leukemia Risk Stratification
UMB Dataset

UID: 214

Author(s): Andrew Y. Li, Sarah M. Kashanian, Bryan C. Hambley, Kyle Zacholski, Vu H. Duong, Firas El Chaer, Noa G. Holtzman, Ivana Gojo, Jonathan A. Webster, Kelly J. Norsworthy, Bruce Douglas Smith, Amy E. DeZern, Mark J. Levis, Maria R. Baer, Farin Kamangar, Gabriel Ghiaur, Ashkan Emadi** * Corresponding Author
The dataset includes information on patients aged 18 or older treated for acute promyelocytic leukemia (APL) at the University of Maryland Medical Center and Johns Hopkins Hospital between January 2000 and May 2020. It encompasses data on FLT3-ITD mutations, including allelic burden and insertion length estimation. Patient demographics, laboratory results, treatment regimens, and outcomes were recorded. Statistical analyses were performed using Stata, including chi-square tests, t-tests, ANOVA, correlations, logistic and linear regression, Kaplan–Meier survival analysis, and Cox regression to assess associations and compare survival among patient groups.
2000 - 2020
Subject of Study
Subject Domain
Population Age
Adult (19 years to 64 years)
Access Restrictions
Approval required
Access Instructions
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the protection of the de-identified patient information.
Associated Publications
Data Type
Software Used
Microsoft Excel
Stata 16.1
Study Type
Data Collection Instruments
Chi-square test of independence
Scheffe test
Pearson correlations
Spearman correlations
Log-rank test
Kaplan-Meier method
Cox regression models
Sanz risk score
Grant Support
Cigarette Restitution Fund Program/Maryland. Department of Health
P30CA134274/University of Maryland Greenebaum Cancer Support Grant