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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Seminars in Cancer B...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Seminars in Cancer Biology
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Understanding genetic determinants of resistance to immune checkpoint blockers

Authors: Sandrine, Aspeslagh; Roman M, Chabanon; Stéphane, Champiat; Sophie, Postel-Vinay;

Understanding genetic determinants of resistance to immune checkpoint blockers

Abstract

The advent of immune checkpoint blockers (ICB) has revolutionized patient outcome in many tumor types. However, only a minority of patients truly benefits from these therapies and displays a durable and robust anti-tumor response that translates into improved outcome. Thorough mechanistic preclinical studies and comprehensive investigations performed in tumor biopsies of patients treated with ICB have unveiled multiple resistance mechanisms involving both tumor-intrinsic and tumor-extrinsic characteristics. Here, we comprehensively review all known tumor-intrinsic genetic and epigenetic resistance mechanisms to ICB, provide an evaluation of their current level of evidence and propose rationale therapeutic strategies to circumvent them.

Keywords

Drug Resistance, Neoplasm, Neoplasms, Programmed Cell Death 1 Receptor, Tumor Microenvironment, Humans, CTLA-4 Antigen, Immunotherapy, Immune Checkpoint Inhibitors, B7-H1 Antigen

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    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).
    13
    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!
13
Top 10%
Average
Top 10%
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