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Article

Integration of a 4-gene risk score model enhances prognostic accuracy in acute myeloid leukemia.

Cell cycle (Georgetown, Tex.) - 1 Jan 2025

Li Yiqing, Li Boqi, Xiao Jie, Huang Kezhi, Liang Yuchan, Zeng Peiting, Yang Wenjuan, Nie Danian

Abstract excerpt

The clinical outcomes of acute myeloid leukemia (AML) patients exhibit substantial heterogeneity, with relapse posing a formidable challenge. Herein, we developed a risk score model by integrating relapse-related genes through Cox regression analysis. The relapse-related genes were identified via differential gene expression analysis of 15 matched diagnosed and relapsed AML samples retrieved from the Gene...

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Share to Core Binding Factor Alpha 2 Subunit
Share to fms-Like Tyrosine Kinase 3

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Leukemic

Share to Leukemia, Myeloid, Acute

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Share to Nucleophosmin

Share to Prognosis

Share to Risk Factors

Source

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Identifiers

PMID: 41163355
DOI: 10.1080/15384101.2025.2578389
PMCID: PMC12710893

Genes

CALCRL
CD34
CFH
ELN
FLT3
NPM1
RUNX1
SCN9A

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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