ArticleFrontiers in endocrinology2022
Dissecting the effect of sphingolipid metabolism gene in progression and microenvironment of osteosarcoma to develop a prognostic signature.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Sphingolipid Metabolism in the Pathogenesis of Hashimoto's Thyroiditis.International journal of molecular sciences · 2025Review
- Integrated multi-omics analysis identifies lipid metabolism biomarkers in ONFH and reveals therapeutic potential of retinoic acid.Scientific reports · 2025Article
- Feasibility of machine learning-based modeling and prediction to assess osteosarcoma outcomes.Scientific reports · 2025Article
- Nonlinear association between hematocrit levels and short-term all-cause mortality in ICU patients with acute pancreatitis: insights from a retrospective cohort study.BMC gastroenterology · 2025Article
- Electroacupuncture Ameliorates Knee Osteoarthritis By Rebalancing T Cell Homeostasis as Revealed By Immune Repertoire (IR) Sequencing.Combinatorial chemistry & high throughput screening · 2025Article
- Metabolic reprogramming and immune microenvironment characteristics in laryngeal carcinoma: advances in immunotherapy.Frontiers in immunology · 2025Review
- Advances in prognostic models for osteosarcoma risk.Heliyon · 2024Review
- Article
- Exploring the relationship between metabolism and immune microenvironment in osteosarcoma based on metabolic pathways.Journal of biomedical science · 2024Article
- Multi-omic validation of the cuproptosis-sphingolipid metabolism network: modulating the immune landscape in osteosarcoma.Frontiers in immunology · 2024Article
- Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study.Scientific reports · 2023Article
- Machine learning-enhanced insights into sphingolipid-based prognostication: revealing the immunological landscape and predictive proficiency for immunomotherapy and chemotherapy responses in pancreatic carcinoma.Frontiers in molecular biosciences · 2023Article
- Multi-omic analysis of glycolytic signatures: exploring the predictive significance of heterogeneity and stemness in immunotherapy response and outcomes in hepatocellular carcinoma.Frontiers in molecular biosciences · 2023Article
- Efferocytosis signatures as prognostic markers for revealing immune landscape and predicting immunotherapy response in hepatocellular carcinoma.Frontiers in pharmacology · 2023Article
- Unveiling efferocytosis-related signatures through the integration of single-cell analysis and machine learning: a predictive framework for prognosis and immunotherapy response in hepatocellular carcinoma.Frontiers in immunology · 2023Article
- A novel stratification framework based on anoikis-related genes for predicting the prognosis in patients with osteosarcoma.Frontiers in immunology · 2023Article
- GADD45B regulates the carcinogenesis process of chronic atrophic gastritis and the metabolic pathways of gastric cancer.Frontiers in endocrinology · 2023Article
- Revealing the role of regulatory T cells in the tumor microenvironment of lung adenocarcinoma: a novel prognostic and immunotherapeutic signature.Frontiers in immunology · 2023Article
- Unveiling the role of regulatory T cells in the tumor microenvironment of pancreatic cancer through single-cell transcriptomics andFrontiers in immunology · 2023Article
- Uncovering the immune microenvironment and molecular subtypes of hepatitis B-related liver cirrhosis and developing stable a diagnostic differential model by machine learning and artificial neural networks.Frontiers in molecular biosciences · 2023Article
Corrections and comments
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Authors and funding
8 authors.
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Abstract
Sphingolipid metabolism (SM) fuels tumorigenesis and the malignant progression of osteosarcoma (OS), which leads to an unfavorable prognosis. Elucidating the molecular mechanisms underlying SM in osteosarcoma and developing a SM-based prognostic signature could be beneficial in the clinical setting. This study included 88 frozen OS samples to recognize the vital SM-relevant genes in the development of OS utilizing univariate Cox regression. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was conducted on the SM- relevant genes to minimize the risk of overfitting. The prognostic signature was generate utilizing the multivariable Cox regression analysis and was verified in the validation cohort. Moreover, cellular and molecular mechanisms associated with SM have an unfavorable prognosis for OS patients and have been widely studied. Resultantly, an SM-based prognostic risk model was established according to critical prognostic genes (CBS
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