Contribution of Aging, Obesity, and Microbiota on Tumor Immunotherapy Efficacy and Toxicity
Open accessAbstract
Cancer immunotherapy has entered the forefront of cancer treatment, but major challenges still exist, such as the limited proportion of patients that respond to treatment and treatment-related toxicity. Therefore, biomarkers to predict which patients will benefit from therapy without major side effects are of the utmost importance. Moreover, novel therapeutic targets to increase the proportion of responding patients on a given immunotherapy or to alleviate immunotherapy-induced toxicity could be a valuable adjunct to immunotherapy treatment. Host factors such as age, obesity, and the composition of the gut microbiome have considerable effects on immune responses and, hence, could have a large impact on the outcome of immunotherapies. Moreover, since these host factors differ considerably between preclinical mouse models and human cancer patients, it might be possible that these host factors account, in part, for the observed discrepancies in outcomes between mice experiments and clinical trials. In this review, we discuss the latest data on the influence of aging, obesity, and the gut microbiome on the anti-tumor immune response and immunotherapy and propose avenues to increase our knowledge on this topic in order to improve patient selection for cancer immunotherapy treatment.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Metagenomic shotgun sequencing (MSS) is superior to 16S RNA sequencing because it avoids PCR bias and sheds light on functional pathways.
“metagenomic shotgun sequencing (MSS) is superior to the more commonly used 16S RNA sequencing because it can not only avoid PCR bias derived from the choice of primers and 16S rRNA variable region, but also shed light on functional pathways [95, 102].”
From Gut microbiota-mediated immunomodulation in tumor (2021) · cites this paper as [102]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 76 · Cited by 30
- Authors
- Baiden-Amissah, R. E. M., & Tuyaerts, S.
- Affiliations
- KU Leuven (BE)
- Corresponding author
- Tuyaerts, Sandra
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2019-07-23
- Volume
- 20
- Issue
- 14
- Pages
- 3586
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC6678743
- OpenAlex
- W2963545741
- Cited by
- 30
- References
- 76
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 7 · 2020: 4 · 2019: 1
- FWCI
- 0.41
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Lirias (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- 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, immunotherapy efficacy, immunotherapy toxicity, aging, obesity, gut microbiota, antitumor immunity, predictive biomarkers, patient selection, host factors
- MeSH terms
- Gastrointestinal Microbiome, Antineoplastic Agents, Immunological, Aging, Animals, Disease Models, Animal, Humans, Immunotherapy, Neoplasms, Obesity, Signal Transduction, Gene Expression Regulation, Neoplastic, Mice, Biomarkers, Pharmacological, B7-H1 Antigen, CTLA-4 Antigen, Programmed Cell Death 1 Receptor
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 ›
Are you an author, or do you see a problem with this page? Request a review