Cited by 51Cancer Immunotherapy and BiomarkersCancer, Hypoxia, and MetabolismAdenosine and Purinergic Signaling

The regulation of immune checkpoints by the hypoxic tumor microenvironment

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Hu, Min, Li, Yongfu, Lu, Yuting, Wang, Miao, Li, Yingrui, Wang, Chaoying, Li, Qin, Zhao, Hong·2021·PeerJ

Abstract

The tumor microenvironment (TME) influences the occurrence and progression of tumors, and hypoxia is an important characteristic of the TME. The expression of programmed death 1 (PD1)/programmed death-ligand 1 (PDL1), cytotoxic T-lymphocyte-associated antigen 4 (CTLA4), and other immune checkpoints in hypoxic malignant tumors is often significantly increased, and is associated with poor prognosis. The application of immune checkpoint inhibitors (ICIs) for treating lung cancer, urothelial carcinoma, and gynecological tumors has achieved encouraging efficacy; however, the rate of efficacy of ICI single-drug treatment is only about 20%. In the present review, we discuss the possible mechanisms by which the hypoxic TME regulates immune checkpoints. By activating hypoxia-inducible factor-1α(HIF-1α), regulating the adenosine (Ado)-A2aR pathway, regulating the glycolytic pathway, and driving epithelial-mesenchymal transition (EMT) and other biological pathways, hypoxia regulates the expression levels of CTLA4, PD1, PDL1, CD47, lymphocyte activation gene 3 (LAG3), T-cell immunoglobulin and mucin domain 3 (TIM3), and other immune checkpoints, which interfere with the immune effector cell anti-tumor response and provide convenient conditions for tumors to escape immune surveillance. The combination of HIF-1αinhibitors, Ado-inhibiting tumor immune microenvironment regulatory drugs, and other drugs with ICIs has good efficacy in both preclinical studies and phase I-II clinical studies. Exploring the effects of TME hypoxia on the expression of immune checkpoints and the function of infiltrating immune cells has greatly clarified the relationship between the hypoxic TME and immune escape, which is of great significance for the development of new drugs and the search for predictive markers of the efficacy of immunotherapy for treating malignant tumors. In the future, combination therapy with hypoxia pathway inhibitors and ICIs may be an effective anti-tumor treatment strategy.

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  • Hypoxia has been shown to modulate the expression of immune checkpoints such as CTLA-4, CD47, PD-1/L-1, and TIM3 in order to manipulate immune cells' mediated anti-tumour response, thereby inhibiting immune surveillance.

    “Hypoxia has been shown to modulate the expression of immune checkpoints such as CTLA-4, CD47, PD-1/L-1, and TIM3 in order to manipulate immune cells’ mediated anti-tumour response, thereby inhibiting immune surveillance [126].”

    From Immune Checkpoint Inhibitors in Cancer Therapy (2022) · cites this paper as [126]

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Authors
Hu, M., Li, Y., Lu, Y., Wang, M., Li, Y., Wang, C., Li, Q., & Zhao, H.
Affiliations
  • Shanxi Medical University (CN)
  • Capital Medical University (CN)
  • Hainan Medical University (CN)
Corresponding author
  • Li, Qin
  • Zhao, Hong
Venue
PeerJ
Publisher
PeerJ
Published
2021-05-07
Volume
9
Pages
e11306
ISSN
2167-8359 (ISSN-L)
OpenAlex
W3161646106
Cited by
51
References
133
Citations by year
2026: 12 · 2025: 8 · 2024: 11 · 2023: 12 · 2022: 5 · 2021: 2 · 2013: 1
FWCI
2.73
Type
journal article
Language
en
Open access
Locations
  • PeerJ (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Physiology › Adenosine and Purinergic Signaling
Keywords
tumor hypoxia, tumor microenvironment, immune checkpoint, immune checkpoint inhibitors, HIF-1α, adenosine A2A receptor, glycolysis, epithelial-mesenchymal transition, CTLA-4, PD-1/PD-L1, CD47, LAG-3, TIM-3, tumor immune evasion, immunotherapy resistance, combination therapy, predictive biomarkers, lung cancer, urothelial carcinoma, gynecological tumors

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