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Clinical & Experimental Immunology
Article . 2020 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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CONICET Digital
Article . 2020
License: CC BY NC SA
Data sources: CONICET Digital
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Role of inflammasome activation in tumor immunity triggered by immune checkpoint blockers

Authors: M Segovia; S Russo; M R Girotti; G A Rabinovich; M Hill;

Role of inflammasome activation in tumor immunity triggered by immune checkpoint blockers

Abstract

Summary Immune checkpoint blockers improve the overall survival of a limited number of patients among different cancers. Identifying pathways that influence the immunological and clinical response to treatment is critical to improve the therapeutic efficacy and predict clinical responses. Recently, a key role has been assigned to innate immune mechanisms in checkpoint blockade-driven anti-tumor responses. However, inflammatory pathways can both improve and impair anti-tumor immunity. In this review, we discuss how different inflammatory pathways, particularly inflammasome activation, can influence the clinical outcome of immune checkpoint blockers. Inflammasome activation may reinforce anti-tumor immunity by boosting CD8+ T cell priming as well as by enhancing T helper type 17 (Th17) responses. In particular, we focus on the modulation of the cation channel transmembrane protein 176B (TMEM176B) and the ectonucleotidase CD39 as potential targets to unleash inflammasome activation leading to reinforced anti-tumor immunity and improved efficacy of immune checkpoint blockers. Future studies should be aimed at investigating the mechanisms and cell subsets involved in inflammasome-driven anti-tumor responses.

Country
Argentina
Keywords

Inflammasomes, Apyrase, Membrane Proteins, CD8-Positive T-Lymphocytes, Neoplasm Proteins, Antineoplastic Agents, Immunological, IMMUNE CHECKPOINT BLOCKERS, Neoplasms, INFLAMMOSOME, https://purl.org/becyt/ford/3.1, CANCER IMMUNOTHERAPY, Animals, Humans, Th17 Cells, TMEM176B, https://purl.org/becyt/ford/3

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
hybrid
Related to Research communities
Cancer Research