ArticleScientific reports2024
Integrating artificial intelligence in osteosarcoma prognosis: the prognostic significance of SERPINE2 and CPT1B biomarkers.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Integrative biomarker and drug target discovery in osteosarcoma: traditional experimental approaches and AI-enabled insights.Frontiers in pharmacology · 2026Review
- Engineering Osteosarcoma In Vitro: From Traditional Models to Biofabricated Platforms for Precision Medicine.ACS omega · 2025Review
- Epigenetic Modifications in Osteosarcoma: Mechanisms and Therapeutic Strategies.Life (Basel, Switzerland) · 2025Review
- Review
- METTL3 stabilizes SERPINE2 via the m6A modification to drive the malignant progression of gastric signet ring cell carcinoma.Translational cancer research · 2025Article
- Ubiquitination in lipid metabolism reprogramming: implications for pediatric solid tumors.Frontiers in immunology · 2025Review
- Research on the application of a multi-model cascaded deep learning framework in the pathological diagnosis of osteosarcoma.Oncology reviews · 2025Article
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
Abstract
The principal aim of this investigation is to identify pivotal biomarkers linked to the prognosis of osteosarcoma (OS) through the application of artificial intelligence (AI), with an ultimate goal to enhance prognostic prediction. Expression profiles from 88 OS cases and 396 normal samples were procured from accessible public databases. Prognostic models were established using univariate COX regression analysis and an array of AI methodologies including the XGB method, RF method, GLM method, SVM method, and LASSO regression analysis. Multivariate COX regression analysis was also employed. Immune cell variations in OS were examined using the CIBERSORT software, and a differential analysis was conducted. Routine blood data from 20,679 normal samples and 437 OS cases were analyzed to validate lymphocyte disparity. Histological assessments of the study's postulates were performed through immunohistochemistry and hematoxylin and eosin (HE) staining. AI facilitated the identification of differentially expressed genes, which were utilized to construct a prognostic model. This model discerned that the survival rate in the high-risk category was significantly inferior compared to the low-risk cohort (p < 0.05). SERPINE2 was found to be positively associated with memory B cells, while CPT1B correlated positively with CD8 T cells. Immunohistochemical assessments indicated that SERPINE2 was more prominently expressed in OS tissues relative to adjacent non-tumorous tissues. Conversely, CPT1B expression was elevated in the adjacent non-tumorous tissues compared to OS tissues. Lymphocyte counts from routine blood evaluations exhibited marked differences between normal and OS groups (p < 0.001). The study highlights SERPINE2 and CPT1B as crucial biomarkers for OS prognosis and suggests that dysregulation of lymphocytes plays a significant role in OS pathogenesis. Both SERPINE2 and CPT1B have potential utility as prognostic biomarkers for OS.
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Registered trials
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