Bioinformatics and machine learning-based prognostic modeling and immune infiltration revealing key genes associated with Li-Fraumeni syndrome and osteosarcoma

Objectives and questions: Li-Fraumeni syndrome (LFS) is a cancer susceptibility syndrome in which osteosarcoma (OS) accounts for the third highest incidence of LFS malignancies. This study aims to identify the key genes associated with the susceptibility of LFS patients to OS, establish a prognostic [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-10-31
DOI
https://doi.org/10.3205/25dkou470
Primary Topic
Cancer-related Molecular Pathways
Type
article
Field-Weighted Citation Impact
0.00
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article

Bioinformatics and machine learning-based prognostic modeling and immune infiltration revealing key genes associated with Li-Fraumeni syndrome and osteosarcoma

German Medical Science (German Research Foundation)
Cancer-related Molecular Pathways
article

Bioinformatics and machine learning-based prognostic modeling and immune infiltration revealing key genes associated with Li-Fraumeni syndrome and osteosarcoma

article en

Abstract

Objectives and questions: Li-Fraumeni syndrome (LFS) is a cancer susceptibility syndrome in which osteosarcoma (OS) accounts for the third highest incidence of LFS malignancies. This study aims to identify the key genes associated with the susceptibility of LFS patients to OS, establish a prognostic [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Jianghan University (CN), Technical University of Munich (DE)
Good health and well-being
Openalex Percentile: Top 36%
Cancer-related Molecular Pathways
DOIOpen Access PDFOpenAlex
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Bioinformatics and machine learning-based prognostic modeling and immune infiltration revealing key genes associated with Li-Fraumeni syndrome and osteosarcoma · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS