ArticleFrontiers in immunology2018
Spatial Mapping of Myeloid Cells and Macrophages by Multiplexed Tissue Staining.
Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Targeting MDSCs in cancer: emerging immunotherapeutic and metabolic strategies.Frontiers in immunology · 2026Review
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- Tissue-Resident Macrophages in Cancer: Friend or Foe?Cancer medicine · 2024Review
- Copper Nanoparticle Loaded Electrospun Patches for Infected Wound Treatment: From Development to In-Vivo Application.Polymers · 2024Article
- Microglia at sites of atrophy restrict the progression of retinal degeneration via galectin-3 and Trem2.The Journal of experimental medicine · 2024Article
- INHBA(+) cancer-associated fibroblasts generate an immunosuppressive tumor microenvironment in ovarian cancer.NPJ precision oncology · 2024Article
- Geospatial characterization of immune cell distributions and dynamics across the microenvironment in clear cell renal cell carcinoma.Journal for immunotherapy of cancer · 2023Article
- Significant changes in macrophage and CD8 T cell densities in primary prostate tumors 2 weeks after SBRT.Prostate cancer and prostatic diseases · 2023Article
- Comparison of manual and automated digital image analysis systems for quantification of cellular protein expression.Histology and histopathology · 2022Article
- Regular Use of Depot Medroxyprogesterone Acetate Causes Thinning of the Superficial Lining and Apical Distribution of Human Immunodeficiency Virus Target Cells in the Human Ectocervix.The Journal of infectious diseases · 2022Article
- Distinct Phenotypes of Inflammation Associated Macrophages and Microglia in the Prefrontal Cortex Schizophrenia Compared to Controls.Frontiers in neuroscience · 2022Article
- The presence of TIM-3 positive cells in WHO grade III and IV astrocytic gliomas correlates with isocitrate dehydrogenase mutation status.Brain pathology (Zurich, Switzerland) · 2021Article
- Review
- HIV-Exposed Seronegative Sex Workers Express Low T-Cell Activation and an Intact Ectocervical Tissue Microenvironment.Vaccines · 2021Article
- Systemic Inflammation Associates With a Myeloid Inflamed Tumor Microenvironment in Primary Resected Colon Cancer-May Cold Tumors Simply Be Too Hot?Frontiers in immunology · 2021Article
- Macrophage-Mediated Tissue Vascularization: Similarities and Differences Between Cornea and Skin.Frontiers in immunology · 2021Review
- Article
- Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.Diagnostic pathology · 2020Article
- A manual multiplex immunofluorescence method for investigating neurodegenerative diseases.Journal of neuroscience methods · 2020Article
- Development and applications of computer image analysis algorithms for scoring of PD-L1 immunohistochemistry.Immuno-oncology technology · 2020Review
Corrections and comments
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Authors and funding
12 authors.
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Abstract
An array of phenotypically diverse myeloid cells and macrophages (MC&M) resides in the tumor microenvironment, requiring multiplexed detection systems for visualization. Here we report an automated, multiplexed staining approach, named PLEXODY, that consists of five MC&M-related fluorescently-tagged antibodies (anti - CD68, - CD163, - CD206, - CD11b, and - CD11c), and three chromogenic antibodies, reactive with high- and low-molecular weight cytokeratins and CD3, highlighting tumor regions, benign glands and T cells. The staining prototype and image analysis methods which include a pixel/area-based quantification were developed using tissues from inflamed colon and tonsil and revealed a unique tissue-specific composition of 14 MC&M-associated pixel classes. As a proof-of-principle, PLEXODY was applied to three cases of pancreatic, prostate and renal cancers. Across digital images from these cancer types we observed 10 MC&M-associated pixel classes at frequencies greater than 3%. Cases revealed higher frequencies of single positive compared to multi-color pixels and a high abundance of CD68+/CD163+ and CD68+/CD163+/CD206+ pixels. Significantly more CD68+ and CD163+ vs. CD11b+ and CD11c+ pixels were in direct contact with tumor cells and T cells. While the greatest percentage (~70%) of CD68+ and CD163+ pixels was 0-20 microns away from tumor and T cell borders, CD11b+ and CD11c+ pixels were detected up to 240 microns away from tumor/T cell masks. Together, these data demonstrate significant differences in densities and spatial organization of MC&M-associated pixel classes, but surprising similarities between the three cancer types.
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