Integrated machine learning-based establishment of a prognostic model in multicenter cohorts for acute myeloid leukemia

This study highlights the clinical value of leukemic cell-specific genes and presents MLAPS as a robust prognostic tool. CD69 may serve as a potential therapeutic target in AML.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-10-14
DOI
https://doi.org/10.3389/fonc.2025.1649594
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated machine learning-based establishment of a prognostic model in multicenter cohorts for acute myeloid leukemia

Xiaoyi Xu, Yan Lin, Hui Yu, Ming-Cheng Liu
Frontiers in Oncology
Acute Myeloid Leukemia Research
article

Integrated machine learning-based establishment of a prognostic model in multicenter cohorts for acute myeloid leukemia

Xiaoyi Xu, Yan Lin, Hui Yu, Ming-Cheng Liu
article en

Abstract

This study highlights the clinical value of leukemic cell-specific genes and presents MLAPS as a robust prognostic tool. CD69 may serve as a potential therapeutic target in AML.

Frontiers in OncologyVol. 15
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Tianjin First Center Hospital (CN), Institute of Hematology & Blood Diseases Hospital (CN), Tianjin Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 63%
Acute Myeloid Leukemia Research
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