Files and links (1)
Published, Version of Record (VoR)Open Access Discount via Drexel Libraries Read and Publish Program 2025CC BY V4.0, Open
Journal article
A Five-Gene Signature for the Prediction of Event-Free Survival of Both Pediatric and Adult Acute Myeloid Leukemia
Diagnostics (Basel), v 15(11), p1421
03 Jun 2025
PMID: 40506993
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
While adult and pediatric acute myeloid leukemia (AML) exhibit genetic distinctions, investigating their common gene expression program is critical for understanding the fundamental biological mechanisms that drive diverse cellular responses. However, existing gene signatures, predominantly tailored for overall survival (OS), may not adequately forecast event-free survival (EFS). EFS represents the time patients survive without disease recurrence, progression, or further treatment, a crucial metric for evaluating drug efficacy and assessing the clinical benefits of treatment.
We performed an integrated analysis of adult TCGA and pediatric TARGET expression datasets to pinpoint genes and pathways associated with EFS in both adult and pediatric AML. Additionally, we constructed a predictive model using one dataset and validated it on the other to unveil a novel gene signature.
A five-gene signature comprising F2RL3, IL2RA, MYH15, SIX3, and SOBP was identified for EFS for both adult and pediatric AML. The test Area Under the ROC Curves (AUCs) for the 2-year and 5-year cutoffs of adult TCGA data were 0.851 (95% CI (Confidence Interval): 0.778-0.923) and 0.848 (95% CI: 0.729-0.968), respectively. Similarly, the test AUCs for the 2-year and 5-year cutoffs of Pediatric TARGET data were 0.725 (95% CI: 0.640-0.811) and 0.695 (95% CI: 0.59-0.80), respectively. When patients were stratified into three equal-sized prognostic subtypes based on the five-gene test risk scores, the P-values of tertile partitions for TARGET and TCGA data were 2.32e-6 and 5.12e-14, respectively, indicating superior performance compared to cytogenetic risk stratification within the same data (TARGET: P = 0.0019; TCGA: P = 0.0086). Despite being identified for EFS, the five-gene signature successfully stratified patients into distinct OS groups across two additional independent datasets.
This five-gene signature demonstrates robust performance in both EFS and OS risk prediction and might be clinically significant.
Metrics
2 Record Views
Details
- Title
- A Five-Gene Signature for the Prediction of Event-Free Survival of Both Pediatric and Adult Acute Myeloid Leukemia
- Creators
- Dechang Chen - Uniformed Services University of the Health SciencesAlvin J Liu - Case Western Reserve UniversityLi Sheng (Corresponding Author) - Drexel University, MathematicsZhenqiu Liu - Penn State Milton S. Hershey Medical CenterIrina Elcheva - Penn State Milton S. Hershey Medical Center
- Publication Details
- Diagnostics (Basel), v 15(11), p1421
- Publisher
- MDPI
- Number of pages
- 14
- Grant note
- Penn State Health Children's Hospital Four Diamonds Funds
This research is partially supported by the Penn State Health Children's Hospital Four Diamonds Funds.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mathematics
- Web of Science ID
- WOS:001505907000001
- Scopus ID
- 2-s2.0-105008510041
- Other Identifier
- 991022057537604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Oncology