A multi-type programmed cell death gene signature predicts survival and reveals therapeutic targets in osteosarcoma

This study identifies a robust PCD-related prognostic model for OS and highlights key genes and pathways involved in tumor progression. The present findings determine potential biomarkers and therapeutic targets to improve OS prognosis and treatment.

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Publication Details

Journal
Discover Oncology
Published
2025-06-16
DOI
https://doi.org/10.1007/s12672-025-02944-y
Citations
1
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.81
Controls
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article

A multi-type programmed cell death gene signature predicts survival and reveals therapeutic targets in osteosarcoma

Chunyang Wu
1 citations
Discover Oncology
RNA modifications and cancer
0.81
article

A multi-type programmed cell death gene signature predicts survival and reveals therapeutic targets in osteosarcoma

Chunyang Wu
article en
1 citations

Abstract

This study identifies a robust PCD-related prognostic model for OS and highlights key genes and pathways involved in tumor progression. The present findings determine potential biomarkers and therapeutic targets to improve OS prognosis and treatment.

Discover OncologyVol. 16(1)
Nanchang University (CN), First Affiliated Hospital of Nanchang University (CN)
Good health and well-being
Openalex Percentile: Top 27%
RNA modifications and cancer
0.81
DOIOpen Access PDFOpenAlex
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