ArticleAging2020
Profiles of immune cell infiltration and immune-related genes in the tumor microenvironment of osteosarcoma.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 1 of them a synthesis that pooled it.
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Who cites it
124 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-validated immune infiltration-related gene model predicts prognosis and immunotherapy sensitivity in HNSCC.BMC cancer · 2023Pooled it
- Exploring shared biomarkers and their mechanisms in thyroid cancer and systemic lupus erythematosus via bioinformatics analysis.Discover oncology · 2026Article
- Machine learning-based integrative analysis identifies CXCL13-driven tertiary lymphoid structures as favorable immune and prognostic features in osteosarcoma.Cellular oncology (Dordrecht, Netherlands) · 2026Article
- Macrophage plasticity in the osteosarcoma tumor microenvironment: opportunities and challenges for immunotherapy.Journal of cancer research and clinical oncology · 2026Review
- Integrated multi-omics analysis identifies and validates endoplasmic reticulum stress and mitophagy-related biomarkers in MASLD.Scientific reports · 2026Article
- A network-guided penalized regression with application to proteomics data.Bioinformatics advances · 2026Article
- Osteosarcoma as a communication-driven disease: redefining tumor-bone signaling networks as therapeutic targets.Frontiers in oncology · 2026Review
- Exploration of prognosis and immune infiltration characteristics in glioblastoma multiforme based on lipid metabolism related genes.Discover oncology · 2025Article
- DExD-box helicase 39 A, targeted by coumestrol, facilitates the malignant behaviors of osteosarcoma cells.Hereditas · 2025Article
- Osteopontin derived from hypoxia-induced M2 macrophages promotes osteosarcoma progression through modulation of EGR3/ISG15 signaling and RIG-I expression.Journal of translational medicine · 2025Article
- Cellular senescence and other age-related mechanisms in skeletal diseases.Bone research · 2025Review
- Advancements in Osteosarcoma Therapy: Overcoming Chemotherapy Resistance and Exploring Novel Pharmacological Strategies.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Digging Through the Complexities of Immunological Approaches in Emerging Osteosarcoma Therapeutics: A Comprehensive Narrative Review with Updated Clinical Trials.Biomedicines · 2025Review
- T cell receptor signaling pathway subgroups and construction of a novel prognostic model in osteosarcoma.Heliyon · 2025Article
- Article
- The novel diagnostic markers for systemic lupus erythematosus and periodontal disease.Frontiers in immunology · 2025Article
- Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma.Frontiers in bioinformatics · 2025Article
- Osteosarcoma immune microenvironment: cellular struggle and novel therapeutic insights.Frontiers in immunology · 2025Review
- Article
- Exploring the impact of PDGFD in osteosarcoma metastasis through single-cell sequencing analysis.Cellular oncology (Dordrecht, Netherlands) · 2024Article
64 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work aimed to investigate tumor-infiltrating immune cells (TIICs) and immune-associated genes in the tumor microenvironment of osteosarcoma. An algorithm known as ESTIMATE was applied for immune score assessment, and osteosarcoma cases were assigned to the high and low immune score groups. Immune-associated genes between these groups were compared, and an optimal immune-related risk model was built by Cox regression analyses. The deconvolution algorithm (referred to as CIBERSORT) was applied to assess 22 TIICs for their amounts in the osteosarcoma microenvironment. Osteosarcoma cases with high immune score had significantly improved outcome (P<0.01). The proportions of naive B cells and M0 macrophages were significantly lower in high immune score tissues compared with the low immune score group (P<0.05), while the amounts of M1 macrophages, M2 macrophages, and resting dendritic cells were significantly higher (P<0.05). Important immune-associated genes were determined to generate a prognostic model by Cox regression analysis. Interestingly, cases with high risk score had poor outcome (P<0.01). The areas under the curve (AUC) for the risk model in predicting 1, 3 and 5-year survival were 0.634, 0.781, and 0.809, respectively. Gene set enrichment analysis suggested immunosuppression in high-risk osteosarcoma patients, in association with poor outcome.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.