ArticleBMC cancer2021
Profiles of immune cell infiltration and immune-related genes in the tumor microenvironment of osteosarcoma cancer.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- The activity level of follicular helper T cells in the peripheral blood of osteosarcoma patients is associated with poor prognosis.Bioengineered · 2022Trial
- Identification of colorectal cancer molecular subtypes and prognostic features based on basement membrane-related genes.Journal of applied genetics · 2026Article
- Genomic landscape and tumor immune microenvironment of osteosarcoma: Bridging mechanistic insights to precision therapeutics.Bone reports · 2026Review
- Engineering Osteoimmune Responses with Functionalized Orthopedic Implants for Post-Operative Osteosarcoma Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- MCellular oncology (Dordrecht, Netherlands) · 2026Article
- SORBS2: A Molecular Nexus in Multisystem Diseases Through Scaffold-Mediated Regulation.Journal of cellular and molecular medicine · 2026Review
- Macrophage plasticity in the osteosarcoma tumor microenvironment: opportunities and challenges for immunotherapy.Journal of cancer research and clinical oncology · 2026Review
- Advances in T cell-based immunotherapy for osteosarcoma.Frontiers in immunology · 2026Review
- A Spatiotemporal Model of CXCL10 as a Master Regulator of Immune Evasion and Metastasis in Osteosarcoma.International journal of molecular sciences · 2025Review
- Unveiling the multifaceted role of the FLNC gene: implications for cancer diagnosis and prognosis.European journal of medical research · 2025Article
- Enhanced antitumor immunity of VNP20009-CCL2-CXCL9 via the cGAS/STING axis in osteosarcoma lung metastasis.Journal for immunotherapy of cancer · 2025Article
- Exploring the tumor microenvironment of breast cancer to develop a prognostic model and predict immunotherapy responses.Scientific reports · 2025Article
- BAIAP2L2 facilitates hepatocellular carcinoma progression and immune evasion of via targeting JAK1-mediated pathway and PD-L1 expression.Cancer gene therapy · 2025Article
- NEDD4 facilitates the progression of endometrial carcinoma by enhancing PAMR1 protein degradation through ubiquitination.Functional & integrative genomics · 2025Article
- A prognostic framework integrating endoplasmic reticulum stress dynamics reveals clinical stratification and differential prognostic attributes in osteosarcoma patients.Frontiers in medicine · 2025Article
- Decoding Osteosarcoma's Lactylation Gene Expression: Insights Into Prognosis, Immune Dynamics, and Treatment.Analytical cellular pathology (Amsterdam) · 2025Article
- Large-Scale Comparative Analysis of Canine and Human Osteosarcomas Uncovers Conserved Clinically Relevant Tumor Microenvironment Subtypes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Unraveling molecular signatures and prognostic biomarkers in glioblastoma: a comprehensive study on treatment resistance and personalized strategies.Discover oncology · 2024Article
- USP22 Promotes Osteosarcoma Progression by Stabilising β-Catenin and Upregulating HK2 and Glycolysis.Journal of cellular and molecular medicine · 2024Article
- Spatial multiplexed immunofluorescence analysis reveals coordinated cellular networks associated with overall survival in metastatic osteosarcoma.Bone research · 2024Article
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4 authors.
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Abstract
backgroundsOsteosarcomas are one of the most common primary malignant tumors of bone. It primarily occurs in children and adolescents, with the second highest incidence among people over 50 years old. Although there were immense improvements in the survival of patients with osteosarcoma in the past 30 years, targetable mutations and agents of osteosarcomas still have been generally not satisfactory. Therefore, it is of great importance to further explore the highly specialized immune environment of bone, genes related to macrophage infiltration and potential therapeutic biomarkers and targets.
methodsThe 11 expression data sets of OS tissues and the 11 data sets of adjacent non-tumorous tissues available in the GEO database GSE126209 were used to conduct immune infiltration analysis. Then, through WGCNA analysis, we acquired the co-expression modules related to Mast cells activated and performed the GO and KEGG enrichment analysis. Next, we did the survival prognosis analysis and plotted a survival curve. Finally, we analyzed the COX multivariate regression of gene expression on clinical parameters and drew forest maps for visualization by the forest plot package.
resultsOS disease-related immune cell populations, mainly Mast cells activated, have higher cell content (p = 0.006) than the normal group. Then, we identified co-expression modules related to Mast cells activated. In sum, a total of 822 genes from the top three strongest positive correlation module MEbrown4, MEdarkslateblue and MEnavajowhite2 and the strongest negative correlation module MEdarkturquoise. From that, we identified nine genes with different levels in immune cell infiltration related to osteosarcoma, eight of which including SORBS2, BAIAP2L2, ATAD2, CYGB, PAMR1, PSIP1, SNAPC3 and ZDHHC21 in their low abundance have higher disease-free survival probability than the group in their high abundances.
conclusionThese results could assist clinicians to select targets for immunotherapies and individualize treatment strategies for patients with OS.
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