Identifying squalene epoxidase as a metabolic vulnerability in high‐risk osteosarcoma using an artificial intelligence‐derived prognostic index

Identifying squalene epoxidase as a metabolic vulnerability in high‐risk osteosarcoma using an artificial intelligence‐derived prognostic index

Abstract Background Osteosarcoma (OSA) presents a clinical challenge and has a low 5‐year survival rate. Currently, the lack of advanced stratification models makes personalized therapy difficult. This study aims to identify novel biomarkers to stratify high‐risk OSA patients and guide treatment. Me...

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Bibliographic Details
Main Authors: Yongjie Wang, Xiaolong Ma, Enjie Xu, Zhen Huang, Chen Yang, Kunpeng Zhu, Yang Dong, Chunlin Zhang
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Clinical and Translational Medicine
Subjects:
machine learning
osteosarcoma
prognostic model
squalene epoxidase
Online Access:https://doi.org/10.1002/ctm2.1586

Internet

https://doi.org/10.1002/ctm2.1586

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