ArticleFrontiers in immunology2024
A novel hypoxia- and lactate metabolism-related prognostic signature to characterize the immune landscape and predict immunotherapy response in osteosarcoma.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Orchestrating glucose metabolism: PFKFB2 as a signal-integrating conductor in homeostasis and disease.The Journal of biological chemistry · 2026Review
- STC2-mediated calcium homeostasis dysregulation in the osteosarcoma microenvironment: Insights from single-cell sequencing and machine learning.Translational oncology · 2026Article
- <p>Tumor microenvironment in bone sarcomas: Implications for immunotherapy and emerging therapeutic vulnerabilities (Review)</p>.Oncology reports · 2026Review
- Metabolic-immune crosstalk in osteosarcoma: mechanisms and therapeutic opportunities.Frontiers in immunology · 2026Review
- Understanding Immune Cell Adaptation to Tumor Hypoxia for Maximized Therapeutic Efficacy of Immunotherapy: Biology and Non-invasive Imaging Application.Cancer research and treatment · 2026Review
- Dynamic immune state transitions and metastatic niche remodelling drive osteosarcoma evolution as a barrier-restricted immune-cold ecosystem.Frontiers in immunology · 2026Review
- Review
- Application value of a prognostic risk model based on lactate-related genes in non-small cell lung cancer.Translational cancer research · 2025Article
- Integrative Single-Cell and Machine Learning Analysis Develops a Glutamine Metabolism-Based Prognostic Model and Identifies MSMO1 as a Therapeutic Target in Osteosarcoma.Biomolecules · 2025Article
- Article
- Identification of candidate susceptibility genes for cutaneous malignant melanoma through integrated multi-method analysis.Discover oncology · 2025Article
- Development and validation of a lipid metabolism-related prognostic model for gastric adenocarcinoma.Translational cancer research · 2025Article
- Targeting metastasis in paediatric bone sarcomas.Molecular cancer · 2025Review
- SQOR as a metabolic rheostat of HFrontiers in cell and developmental biology · 2025Review
- Osteosarcoma immunometabolism: emerging mechanisms and clinical implications.Frontiers in immunology · 2025Review
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Authors and funding
7 authors.
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Abstract
Background: Immunotherapy has shown considerable promise in cancer treatment, yet only a minority of osteosarcoma patients derive benefits from this approach. Hypoxia and lactate metabolism are two predominant characteristics of the tumor microenvironment. These features are crucial for molding the immune landscape and thus have the potential to act as predictive indicators for immunotherapy response. Methods: Prognostic modeled genes were identified through univariate and multivariate Cox regression as well as LASSO regression analyses. The tumor microenvironment was evaluated using ESTIMATE, CIBERSORT, and ImmuCellAI analyses. Tide prediction and expression of immune checkpoints, MHC molecules, chemokines, interleukins, interferons, receptors, and other cytokines were utilized to estimate immunotherapy efficacy. Single-cell analysis was performed to demonstrate the expression of modeled genes among various immune cell types. Experimental validation was carried out to verify the expression and functions of Results: A potent signature was constructed with 8 genes related to hypoxia and lactate metabolism, including Conclusion: Our research has developed a robust hypoxia- and lactate metabolism-related gene signature, providing a solid theoretical foundation for prognosis prediction, classification of "cold" and "hot" tumors, accessing immunotherapy response, and directing personalized treatment for osteosarcoma.
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