Considerations for successful cancer immunotherapy in aged hosts
Open accessAbstract
Immunotherapy is now experiencing unprecedented successes in treating various cancers based on new understandings of cancer immunopathogenesis. Nonetheless, although ageing is the biggest risk factor for cancer, the majority of cancer immunotherapy preclinical studies are conducted in young hosts. This review will explore age-related changes in immunity as they relate to cancer immune surveillance, immunopathogenesis and responses to immunotherapy. Although it is recognized that declining T cell function with age poses a great challenge to developing effective age-related cancer immunotherapies, examples of successful approaches to overcome this hurdle have been developed. Further, it is now recognized that immune functions do not simply decline with age, but rather change in ways than can be detrimental. For example, with age, specific immune cell populations with detrimental functions can become predominant (such as cells producing proinflammatory cytokines), suppressive cells can become more numerous or more suppressive (such as myeloid-derived suppressor cells), drugs can affect aged immune cells distinctly and the aged microenvironment is becoming recognized as a significant barrier to address. Key developments in these and other areas will be surveyed as they relate to cancer immunotherapy in aged hosts, and areas in need of more study will be assessed with some speculations for the future. We propose the term 'age-related immune dysfunction' (ARID) as best representative of age-associated changes in immunity.
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In metastatic melanoma, the use of the MoAb Nivolumab, a PD-1 inhibitor, alone or in combination with other antagonists, has survival benefits independently of age.
“In the metastatic melanoma, for example, the use of the MoAb Nivolumab, a PD-1 inhibitor, alone or in combination with other antagonists, has survival benefits independently on age (170, 171).”
From Immunosenescence and Its Hallmarks: How to Oppose Aging Strategically? A Review of Potential Options for Therapeutic Intervention (2019) · cites this paper as [171]
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- Authors
- Hurez, V, Padrón, Á. S., Svatek, R. S., & Curiel, T. J.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX, USA
- Corresponding author
- Curiel, T J
- Venue
- Clinical and Experimental Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-11-07
- Volume
- 187
- Issue
- 1
- Pages
- 53-63
- ISSN
- 0009-9104 (ISSN-L)
- 1365-2249
- PMC
- PMC5167055
- OpenAlex
- W2528681921
- Cited by
- 65
- References
- 113
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 4 · 2022: 7 · 2021: 6 · 2020: 10 · 2019: 12 · 2018: 16 · 2017: 6 · 2016: 1
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Clinical & Experimental Immunology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- The Holly Beach Public Library
- The Owens Foundation
- The Barker Foundation
- Skinner endowment
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- cancer immunotherapy, aging, age-related immune dysfunction, tumor surveillance, immunopathogenesis, T cell dysfunction, myeloid-derived suppressor cells, inflammatory cytokines, immunosenescence
- MeSH terms
- Immunosenescence, Myeloid-Derived Suppressor Cells, Aged, Aging, Animals, Humans, Immunologic Surveillance, Immunotherapy, Neoplasms, T-Lymphocytes, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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