2020
DOI: 10.1016/j.ymthe.2020.06.003
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Exosomes: A Potential Therapeutic Tool Targeting Communications between Tumor Cells and Macrophages

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Cited by 50 publications
(34 citation statements)
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“…In tumor microenvironments, the interaction between macrophages and other cells in osteosarcoma TME participates in the disease progress of osteosarcoma. As a part of their survival strategies, tumor cells often resort to cunning mechanisms to manipulate the macrophages and create an immunosuppressive, tumor-promoting microenvironment ( 85 ). Some studies demonstrated that osteosarcoma cells enhanced the recruitment of macrophages by secretion of cytokine.…”
Section: Macrophages and Osteosarcomamentioning
confidence: 99%
“…In tumor microenvironments, the interaction between macrophages and other cells in osteosarcoma TME participates in the disease progress of osteosarcoma. As a part of their survival strategies, tumor cells often resort to cunning mechanisms to manipulate the macrophages and create an immunosuppressive, tumor-promoting microenvironment ( 85 ). Some studies demonstrated that osteosarcoma cells enhanced the recruitment of macrophages by secretion of cytokine.…”
Section: Macrophages and Osteosarcomamentioning
confidence: 99%
“…In light of the crucial crosstalk between immune cells and tumor cells, mounting studies have proposed a promising therapeutic strategy involving alteration of the tumor state via exosomes engineering to achieve therapeutic goals [ 277 ]. Previous studies reported that exosomes avoid clearance by the human immune system because they carry CD47 in their membranes.…”
Section: Clinical Applications Of Exosomes In Cancermentioning
confidence: 99%
“…Many studies have shown that exosomes, i.e., 40- to 100-nm vesicles containing nucleic acids, proteins, and lipids, could be used as tumor biomarkers. 90 , 91 , 92 Various biomarkers for different types of cancer have been identified with exosome proteomics ( Figure 5 ). Thrombospondin-1 (THBS1), fibulin-1 (FBLN1), and fibrinogen gamma chain (FGG) were identified as clinical biomarkers for liver cancer.…”
Section: The Application Of Quantitative Proteomics In Clinical Diagnosis and Treatmentmentioning
confidence: 99%