Impact of Age-, Cancer- and Treatment-Driven Inflammation on T Cell Function and Immunotherapy
Open accessAbstract
Many cancers are predominantly diagnosed in older individuals and chronic inflammation has a major impact on the overall health and immune function of older cancer patients. Chronic inflammation is a feature of aging, it can accelerate disease in many cancers and it is often exacerbated during conventional treatments for cancer. This review will provide an overview of the factors that lead to increased inflammation in older individuals and/or individuals with cancer, as well as those that result from conventional treatments for cancer, using ovarian cancer (OC) and multiple myeloma (MM) as key examples. We will also consider the impact of chronic inflammation on immune function, with a particular focus on T cells as they are key targets for novel cancer immunotherapies. Overall, this review aims to highlight specific pathways for potential interventions that may be able to mitigate the impact of chronic inflammation in older cancer patients.
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Tumor-induced cytokine production and inflammation in the TME promote and accelerate cancer development.
“It is now appreciated that tumor-induced cytokine production and inflammation in the TME promote and accelerate cancer development (9, 14).”
From Tumor-Induced Inflammatory Cytokines and the Emerging Diagnostic Devices for Cancer Detection and Prognosis (2021) · cites this paper as [14]
In “Ovarian Cancer: Aetiology, Inflammation and Treatment” (page unavailable), the review says ovarian cancer cells and other cells in the tumour microenvironment secrete inflammatory cytokines, whose levels are associated with poorer prognosis or shorter progression-free survival. “Ovarian Cancer: T Cell Activation and Dysfunction” (page unavailable) also describes inflammation that inhibits protective T-cell function. These passages support a link to adverse outcomes in ovarian cancer, but do not establish the broader causal claim that tumour-induced inflammation promotes and accelerates cancer development. (LLM, conf=0.85)
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- Authors
- Quinn, K. M., Kartikasari, A. E. R., Cooke, R. E., Koldej, R. M., Ritchie, D. S., & Plebanski, M.
- Affiliations
- Monash University (AU)
- RMIT University (AU)
- The Royal Melbourne Hospital (AU)
- Corresponding author
- Quinn, Kylie M
- ORCID
- Venue
- Journal of Leukocyte Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-07-17
- Volume
- 108
- Issue
- 3
- Pages
- 953-965
- ISSN
- 0741-5400 (ISSN-L)
- 1938-3673
- OpenAlex
- W3042758275
- Cited by
- 31
- References
- 143
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 9
- FWCI
- 0.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Leukocyte Biology (publishedVersion)
- PubMed (publishedVersion)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- Figshare (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Funders
- National Health and Medical Research Council (APP1154850)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- chronic inflammation, aging, cancer immunotherapy, T cell function, ovarian cancer, multiple myeloma, immunosenescence, anti-inflammatory therapy
- MeSH terms
- Aging, Animals, Antineoplastic Combined Chemotherapy Protocols, Chronic Disease, Combined Modality Therapy, Disease Susceptibility, Female, Humans, Immunocompetence, Immunologic Factors, Immunotherapy, Inflammation, Lymphocyte Activation, Multiple Myeloma, Neoplasms, Ovarian Neoplasms, Receptors, Immunologic, T-Lymphocytes, Signal Transduction, Cytokines, Immunotherapy, Adoptive, Models, Immunological, Proteasome Inhibitors
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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