Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS

Our epigenetics-based model demonstrates excellent prognostic accuracy (AUC>0.997 in internal validation, 0.832-0.929 in external cohorts) and provides a practical tool for treatment stratification. These findings establish a clinically applicable framework for personalized therapy selection in OS patients.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2025-01-22
DOI
https://doi.org/10.3389/fphar.2025.1529525
Citations
3
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
2.81
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article

Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS

Binshan Zhang, K.-H. Chi, Chaoyi Yin, Yongsheng Ye et al.
3 citations
Frontiers in Pharmacology
Cancer Genomics and Diagnostics
2.81
article

Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS

Binshan Zhang, K.-H. Chi, Chaoyi Yin, Yongsheng Ye, Shabin Zhuang, Zhiqing Chen, Cailiang Cai
article en
3 citations

Abstract

Our epigenetics-based model demonstrates excellent prognostic accuracy (AUC>0.997 in internal validation, 0.832-0.929 in external cohorts) and provides a practical tool for treatment stratification. These findings establish a clinically applicable framework for personalized therapy selection in OS patients.

Frontiers in PharmacologyVol. 16
Dongguan University of Technology (CN), Dongguan People’s Hospital (CN), Zhongshan Hospital (CN)
Life in Land
Openalex Percentile: Top 11%
Cancer Genomics and Diagnostics
2.81
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