M1 hot tumor-associated macrophages boost tissue-resident memory T cells infiltration and survival in human lung cancer.
Autor: | Garrido-Martin EM; Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Mellows TWP; Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Clarke J; La Jolla Institute for Immunology, La Jolla, California, USA., Ganesan AP; La Jolla Institute for Immunology, La Jolla, California, USA., Wood O; Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Cazaly A; Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Seumois G; La Jolla Institute for Immunology, La Jolla, California, USA., Chee SJ; Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Alzetani A; Southampton University Hospitals NHS Trust, Southampton, UK., King EV; Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Hedrick CC; Inflammatory Biology, La Jolla Institute for Immunology, La Jolla, California, USA., Thomas G; Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Friedmann PS; Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Ottensmeier CH; Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK., Vijayanand P; Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California, USA., Sanchez-Elsner T; Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, UK T.Sanchez-Elsner@soton.ac.uk. |
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Jazyk: | angličtina |
Zdroj: | Journal for immunotherapy of cancer [J Immunother Cancer] 2020 Jul; Vol. 8 (2). |
DOI: | 10.1136/jitc-2020-000778 |
Abstrakt: | Background: The role of tumor-associated macrophages (TAMs) in determining the outcome between the antitumor effects of the adaptive immune system and the tumor's anti-immunity stratagems, is controversial. Macrophages modulate their activities and phenotypes by integration of signals in the tumor microenvironment. Depending on how macrophages are activated, they may adopt so-called M1-like, antitumor or M2-like, protumor profiles. In many solid tumors, a dominance of M2-like macrophages is associated with poor outcomes but in some tumor types, strong M1-like profiles are linked to better outcomes. We aimed to investigate the interrelationship of these TAM populations to establish how they modulate the efficacy of the adaptive immune system in early lung cancer. Methods: Macrophages from matched lung (non-tumor-associated macrophages (NTAMs)) and tumor samples (TAMs) from resected lung cancers were assessed by bulk and single-cell transcriptomic analysis. Protein expression of genes characteristic of M1-like (chemokine (C-X-C motif) ligand 9) or M2-like (matrix metallopeptidase 12) functions was confirmed by confocal microscopy. Immunohistochemistry related the distribution of TAM transcriptomic signatures to density of CD8 + tissue-resident memory T cells (T Results: TAMs have significantly different transcriptomic profiles from NTAMs with >1000 differentially expressed genes. TAMs displayed a strong M2-like signature with no significant variation between patients. However, single-cell RNA-sequencing supported by immuno-stained cells revealed that additionally, in 25% of patients the M2-like TAMs also co-expressed a strong/hot M1-like signature (M1 hot ). Importantly, there was a strong association between the density of M1 hot TAMs and T Conclusions: We showed that in early lung cancer, expression of M1-like and M2-like gene signatures are not mutually exclusive since the same TAMs can simultaneously display both gene-expression profiles. The presence of M1 hot TAMs was associated with a strong T Competing Interests: Competing interests: PV reports grants and personal fees from Pfizer, from null, outside the submitted work. (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.) |
Databáze: | MEDLINE |
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