Construction and evaluation of a prognostic model based on the expression of the metabolism-related signatures in patients with osteosarcoma

The prognostic model based on the nine signature genes accurately predicted the prognosis of patients with osteosarcoma; CYP27B1, PFKFB4, PHKG1, PHYKPL, PXMP2, and XYLB may serve as metabolism-related biomarkers in osteosarcoma.

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Publication Details

Journal
BMC Musculoskeletal Disorders
Published
2025-03-27
DOI
https://doi.org/10.1186/s12891-025-08439-9
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
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article

Construction and evaluation of a prognostic model based on the expression of the metabolism-related signatures in patients with osteosarcoma

Xifeng Wu, Tianyu Wu
BMC Musculoskeletal Disorders
Cancer, Hypoxia, and Metabolism
article

Construction and evaluation of a prognostic model based on the expression of the metabolism-related signatures in patients with osteosarcoma

Xifeng Wu, Tianyu Wu
article en

Abstract

The prognostic model based on the nine signature genes accurately predicted the prognosis of patients with osteosarcoma; CYP27B1, PFKFB4, PHKG1, PHYKPL, PXMP2, and XYLB may serve as metabolism-related biomarkers in osteosarcoma.

BMC Musculoskeletal DisordersVol. 26(1)
Qiqihar Medical University (CN)
Zero hunger
Openalex Percentile: Top 93%
Cancer, Hypoxia, and Metabolism
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Construction and evaluation of a prognostic model based on the expression of the metabolism-related signatures in patients with osteosarcoma — Xifeng Wu, Tianyu Wu · BMC Musculoskeletal Disorders (2025) | TGRS Research Map | TGRS