Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models.
1/5 보강
Acute Myeloid Leukemia (AML) is a genetically and clinically heterogeneous disease that can develop at any age.
APA
Silva R, Riedel C, et al. (2025). Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models.. Scientific reports, 15(1), 39821. https://doi.org/10.1038/s41598-025-23468-z
MLA
Silva R, et al.. "Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models.." Scientific reports, vol. 15, no. 1, 2025, pp. 39821.
PMID
41233459 ↗
Abstract 한글 요약
Acute Myeloid Leukemia (AML) is a genetically and clinically heterogeneous disease that can develop at any age. While AML incidence increases with age and distinct genetic alterations are observed in younger versus older patients, current classification systems do not incorporate age as a defining factor. In this study, we analyzed RNA-seq data from 404 AML patients at initial diagnosis, leveraging a k-mer-based machine learning approach to uncover age-related transcriptomic differences in favorable and adverse risk groups. Our model achieved over 90% accuracy in risk prediction and identified key gene signatures distinguishing ELN2017 favorable and adverse groups. From these signatures, we selected prognostic biomarkers with significant impacts on survival. Additionally, we explored the biological context underlying transcriptomic complexity across age groups, revealing distinct tumor profiles and differences in immune and stromal cell populations, particularly in older patients. These findings underscore the importance of age-related molecular features in AML and provide new insights for risk stratification and therapeutic targeting.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
- Humans
- Leukemia
- Myeloid
- Acute
- Machine Learning
- Aged
- Female
- Middle Aged
- Male
- Adult
- Transcriptome
- Age Factors
- Prognosis
- Risk Assessment
- 80 and over
- Gene Expression Profiling
- Biomarkers
- Tumor
- Young Adult
- Adolescent
- Acute Myeloid Leukemia
- ELN classification
- RNA-seq
- k-mer
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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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