Revealing the link between macrophage in microenvironment of osteosarcoma and poor prognosis by utilizing the Integrated analysis

J Musculoskelet Neuronal Interact. 2021 Mar 1;21(1):130-137.

Abstract

Objectives: Osteosarcoma (OS) is the most common type of primary malignant bone tumor, The effect of tumor microenvironment components on OS oncogenesis remains unknown.

Methods: To investigate the function of immune cells in osteosarcoma, we provided a text-based GMT (Gene Matrix Transposed) file in which each line defines one of lm22 with their markers. We used STRING to draw DEG's PPI network and selected hub genes and modules. Then, survival analysis was conducted to hub genes. We identified 10,390 common genes, and identified 218 DEGs based on the combined t-value and Z scores.

Results: The KEGG and GSEA enrichment analysis showed that macrophages are significantly activated in osteosarcoma. PPI network analysis revealed that hub gene CD163 molecule. We found that the expression of CD163 was negatively associated with the OS of osteosarcoma patients. These results suggest that macrophages are a risk factor in patients with osteosarcoma.

Conclusions: This study has systematically validated results of the studies carried out previously and filled up the gap in the field of OS on large-scaled meta-analysis. In addition, for the hub gene (CD163) and the macrophage cell capable of being used as a novel biomarker in promoting early diagnosis and development of therapeutic approaches.

Keywords: CD163 Molecule; Macrophage Activation; Macrophages; Osteosarcoma.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Antigens, CD / genetics
  • Antigens, Differentiation, Myelomonocytic / genetics
  • Bone Neoplasms / genetics
  • Bone Neoplasms / immunology*
  • Bone Neoplasms / pathology
  • Databases, Genetic*
  • Gene Regulatory Networks / genetics
  • Humans
  • Immunity, Cellular / physiology*
  • Macrophages / immunology*
  • Macrophages / pathology
  • Osteosarcoma / genetics
  • Osteosarcoma / immunology*
  • Osteosarcoma / pathology
  • Prognosis
  • Protein Array Analysis / methods
  • Receptors, Cell Surface / genetics
  • Tumor Microenvironment / physiology*

Substances

  • Antigens, CD
  • Antigens, Differentiation, Myelomonocytic
  • CD163 antigen
  • Receptors, Cell Surface