Identification and verification of a polyamine metabolism-related gene signature for predicting prognosis and immune infiltration in osteosarcoma

The identification of FAM162A, SIGMAR1, SQLE, PYCR1, DDI1, PAQR6, GRIA1, and TNFRSF12A as prognostic genes associated with PMRGs in OS provides valuable references for prognostic assessment and personalized treatment in patients with OS.

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Publication Details

Journal
Journal of Orthopaedic Surgery and Research
Published
2025-05-18
DOI
https://doi.org/10.1186/s13018-025-05716-0
Citations
2
Primary Topic
Polyamine Metabolism and Applications
Type
article
Field-Weighted Citation Impact
1.61

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article

Identification and verification of a polyamine metabolism-related gene signature for predicting prognosis and immune infiltration in osteosarcoma

Dongdong Cheng, Shi Qiu, Qingcheng Yang, Tan Chen
2 citations
Journal of Orthopaedic Surgery and Research
Polyamine Metabolism and Applications
1.61
article

Identification and verification of a polyamine metabolism-related gene signature for predicting prognosis and immune infiltration in osteosarcoma

Dongdong Cheng, Shi Qiu, Qingcheng Yang, Tan Chen
article en
2 citations

Abstract

The identification of FAM162A, SIGMAR1, SQLE, PYCR1, DDI1, PAQR6, GRIA1, and TNFRSF12A as prognostic genes associated with PMRGs in OS provides valuable references for prognostic assessment and personalized treatment in patients with OS.

Journal of Orthopaedic Surgery and ResearchVol. 20(1)
Shanghai Sixth People's Hospital (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 17%
Polyamine Metabolism and Applications
1.61
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