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Immunity, Hypoxia, and Metabolism–the Ménage à Trois of Cancer: Implications for Immunotherapy
Open accessAbstract
It is generally accepted that metabolism is able to shape the immune response. Only recently we are gaining awareness that the metabolic crosstalk between different tumor compartments strongly contributes to the harsh tumor microenvironment (TME) and ultimately impairs immune cell fitness and effector functions. The major aims of this review are to provide an overview on the immune system in cancer; to position oxygen shortage and metabolic competition as the ground of a restrictive TME and as important players in the anti-tumor immune response; to define how immunotherapies affect hypoxia/oxygen delivery and the metabolic landscape of the tumor; and vice versa, how oxygen and metabolites within the TME impinge on the success of immunotherapies. By analyzing preclinical and clinical endeavors, we will discuss how a metabolic characterization of the TME can identify novel targets and signatures that could be exploited in combination with standard immunotherapies and can help to predict the benefit of new and traditional immunotherapeutic drugs.
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“Hypoxia, one of the most striking features of the TME, activates multiple signaling pathways that hinder the antitumor effects of various treatments, including immunotherapy. 417”
From Hypoxia signaling in cancer: Implications for therapeutic interventions (2023) · cites this paper as [417]
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Kohrt, H. E. K., Houot, R., Weiskopf, K., Goldstein, M. J., Scheeren, F. A., Czerwinski, D. K., Colevas, A. D., Weng, W., Clarke, M. F., Carlson, R. W., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci61226 · Cited by 226
RetractedCD137 stimulation enhances the antilymphoma activity of anti-CD20 antibodies
Kohrt, H. E. K., Houot, R., Goldstein, M. J., Weiskopf, K., Alizadeh, A. A., Brody, J., Müller, A. M. S., Pachynski, R. K., Czerwinski, D. K., Coutre, S. E., et al. (2010) · Blood · doi:10.1182/blood-2010-08-301945 · Cited by 205
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., Gottfried, M., Peled, N., Tafreshi, A., Cuffe, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606774 · Cited by 10,089
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335
Safety and activity of anti-PD-L1 antibody in patients with advanced cancer
Brahmer, J. R., Tykodi, S. S., Chow, L. Q. M., Hwu, W.-J., Topalian, S. L., Hwu, P., Drake, C. G., Camacho, L. H., Kauh, J., Odunsi, K., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200694 · Cited by 7,945
Research works printed but not linked: 7
- Bellocq A, 1998, Am J Pathol, 152, 83
- Grosso JF, 2013, Cancer Immun, 13, 5
- Kim J, 2018, J Immunol, 200, 111.112
- Nakano O, 2001, Cancer Res, 61, 5132
- Rozhin J, 1994, Cancer Res, 54, 6517
- Shi Q, 1999, Clin Cancer Res, 5, 3711
- Thomas L, 1982, Yale J Biol Med, 55, 329
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Therapeutic targeting of the hypoxic tumour microenvironment
Singleton, D. C., Macann, A., & Wilson, W. R. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00539-4 · Cited by 507
Fu, T., Dai, L.-J., Wu, S.-Y., Xiao, Y., Ma, D., Jiang, Y.-Z., & Shao, Z.-M. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01103-4 · Cited by 480
Role of tumor microenvironment in cancer progression and therapeutic strategy
Wang, Q., Shao, X., Zhang, Y., Zhu, M., Wang, F. X. C., Mu, J., Li, J., Yao, H., & Chen, K. (2023) · Cancer Medicine · doi:10.1002/cam4.5698 · Cited by 499
Three-Dimensional Spheroids as In Vitro Preclinical Models for Cancer Research
Pinto, B., Henriques, A. C., Silva, P. M. A., & Bousbaa, H. (2020) · Pharmaceutics · doi:10.3390/pharmaceutics12121186 · Cited by 440
Metadata
- Authors
- Riera-Domingo, C., Audigé, A., Granja, S., Cheng, W.-C., Ho, P.-C., Baltazar, F., Stockmann, C., & Mazzone, M.
- Affiliations
- Laboratory of Tumor Inflammation and Angiogenesis, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory of Tumor Inflammation and Angiogenesis, Center for Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium; Institute of Anatomy, University of Zurich, Zurich, Switzerland; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B’s-PT Government Associate Laboratory, Braga/Guimarães, Portugal; Department of Fundamental...
- Ludwig Cancer Research (BE)
- ORCID
- Venue
- Physiological Reviews
- Publisher
- American Physiological Society
- Published
- 2020-01-01
- Volume
- 100
- Issue
- 1
- Pages
- 1-102
- ISSN
- 0031-9333 (ISSN-L)
- 1522-1210
- OpenAlex
- W2968149989
- Cited by
- 310
- References
- 808
- Citations by year
- 2026: 18 · 2025: 31 · 2024: 69 · 2023: 52 · 2022: 69 · 2021: 56 · 2020: 15
- FWCI
- 3.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physiological Reviews (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- Lirias (submittedVersion, other-oa)
- IRIS (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc-nd)
- SERVAL (Université de Lausanne) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- EC | European Research Council (773208)
- Fonds Wetenschappelijk Onderzoek (1108919N, G0D1717N, G066515N)
- Stichting Tegen Kanker (2014197)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- tumor microenvironment, tumor hypoxia, cancer metabolism, antitumor immunity, immunotherapy, metabolic crosstalk, oxygen delivery, metabolic competition, predictive biomarkers, combination immunotherapy
- MeSH terms
- Animals, Hypoxia, Humans, Immunity, Immunotherapy, Neoplasms, Tumor Microenvironment
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