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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
Description
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.
Timeframe
2000 - 2020
Subject of Study
Human
Subject Domain
DNA Mutational Analysis
Population Age
Adult (19 years to 64 years)
Keywords
FLT3-ITD
Leukemia, Promyelocytic, Acute
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Access Restrictions
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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
Li AY, Kashanian SM, Hambley BC, Zacholski K, Duong VH, El Chaer F, Holtzman NG, Gojo I, Webster JA, Norsworthy KJ, Smith BD, DeZern AE, Levis MJ, Baer MR, Kamangar F, Ghiaur G, Emadi A. FLT3-ITD Allelic Burden and Acute Promyelocytic Leukemia Risk Stratification. Biology. 2021 Mar 21;10(3):243.
Data Type
Clinical Measures
Software Used
Microsoft Excel

Spreadsheet software

Stata 16.1

A software resource for statistical analysis and presentation of graphics.

Study Type
Observational
Data Collection Instruments
One-Way ANOVA
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
K08HL127269/National Heart, Lung, and Blood Institute
R03HL145226/National Heart, Lung, and Blood Institute
P01CA225618/National Cancer Institute (U.S.)