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Metabolic reprogramming: a bridge between aging and tumorigenesis
Open accessAbstract
Aging is the most robust risk factor for cancer development, with more than 60% of cancers occurring in those aged 60 and above. However, how aging and tumorigenesis are intertwined is poorly understood and a matter of significant debate. Metabolic changes are hallmarks of both aging and tumorigenesis. The deleterious consequences of aging include dysfunctional cellular processes, the build-up of metabolic byproducts and waste molecules in circulation and within tissues, and stiffer connective tissues that impede blood flow and oxygenation. Collectively, these age-driven changes lead to metabolic reprogramming in different cell types of a given tissue that significantly affects their cellular functions. Here, we put forward the idea that metabolic changes that happen during aging help create a favorable environment for tumorigenesis. We review parallels in metabolic changes that happen during aging and how these changes function both as adaptive mechanisms that enable the development of malignant phenotypes in a cell-autonomous manner and as mechanisms that suppress immune surveillance, collectively creating the perfect environment for cancers to thrive. Hence, antiaging therapeutic strategies that target the metabolic reprogramming that occurs as we age might provide new opportunities to prevent cancer initiation and/or improve responses to standard-of-care anticancer therapies.
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![Fig. 2 Aging‐induced metabolic suppression of host defenses. Age‐induced metabolic alterations shape both innate and adaptive immunity resulting in a decline in immune cell activation and proper immune responses. Aging promotes a global decline in NAD+ within the immune compartment due to an increase in the expression of NADase CD38 leading to a decline in cytotoxic effector activity and the induction of an inflammatory state. The decline in glutamine and ɑ‐KG availability with age further negatively impacts the function and differentiation of T cells by limiting substrate availability for TCA anaplerosis and redox reactions. The age‐induced decline in spermidine inhibits autophagy in T cells and disrupts the homeostatic differentiation of CD4+ T cells into specific subsets. On the other hand, aging also induces lactate production and promotes acidification; this acidification reduces the activity of NFAT and IFN‐γ in T cells and NK cells inhibiting their cytotoxic ability and induces protumorigenic M2‐like polarization of macrophages via stabilization of HIF‐1α and induction of Arg1 expression. Similarly, age‐induced elevation in spermine levels favors polarization towards a protumorigenic M2 macrophage phenotype, both dampening the immune response. In addition, lactate contributes to immunosuppression by promoting an activation of Treg phenotype of CD4+ T cells through NF‐kB and FoxP3 activity. This phenomenon can also be controlled by the age‐induced increase in kynurenine, which blocks the cytotoxic activity of T and NK cells. Advanced age might also cause a shift in microbiome composition affecting SCFAs in old hosts and thereby influence antitumor immunity. SCFAs have been shown to regulate innate immune cells via decreasing the secretion of proinflammatory cytokines by macrophages. On the other hand, SCFAs tend to enhance the polarization effects set by the cytokine milieus present at the time of T‐cell priming and differentiation. Green and red arrows indicate increased or decreased level, respectively. ɑ‐KG, α‐ketoglutarate; Arg1, arginase 1; CD38, cluster of differentiation 38; FoxP3, forkhead box P3; HIF‐1 α, hypoxia‐inducible factor 1α; INF‐γ, interferon‐gamma; M1MΦ, M1‐polarized macrophages; M2MΦ, M2‐polarized macrophages; mTORC1, mechanistic target of rapamycin complex 1; NAD, nicotinamide adenine dinucleotide; NFAT, nuclear factor of activated T cells; NF‐kB, nuclear factor‐kappa B; NK cell, natural killer cell; p300, histone acetyltransferase p300; SCFAs, short‐chain fatty acids; TCA, tricarboxylic acid; TFEB, transcription factor EB; Treg, regulatory T. [Colour figure can be viewed at wileyonlinelibrary.com]](/paper-figures/f9065b6e21ae4500a76417632e7730a4/metabolic-reprogramming-a-bridge-between-aging-and-tumorigenesis-figure-2.jpg)
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“Both hallmarks exhibit clear commonalities, but there are also some differences or even antagonisms between aging-associated deregulated nutrient sensing and cancer-associated deregulation of cellular energy metabolism.[204][205][206]”
From Meta-hallmarks of aging and cancer (2023) · cites this paper as [206]
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Metadata
- Authors
- Drapela, S., Ilter, D., & Gomes, A. P.
- Affiliations
- Department of Molecular Oncology H. Lee Moffit Cancer Center & Research Institute Tampa FL USA
- Moffitt Cancer Center (US)
- Corresponding author
- Gomes, Ana P.
- Venue
- Molecular Oncology
- Publisher
- Wiley
- Published
- 2022-06-19
- Volume
- 16
- Issue
- 18
- Pages
- 3295-3318
- ISSN
- 1574-7891 (ISSN-L)
- 1878-0261
- PMC
- PMC9490145
- OpenAlex
- W4281620894
- Cited by
- 41
- References
- 256
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 5 · 2023: 4 · 2022: 3
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Oncology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- American Lung Association
- Florida Breast Cancer Foundation
- National Cancer Institute (R00CA218686)
- NIH Office of the Director (DP2 AG0776980)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- metabolic reprogramming, aging, carcinogenesis, cellular senescence, immune surveillance, cancer prevention, tumor microenvironment, metabolic waste accumulation
- MeSH terms
- Cell Transformation, Neoplastic, Humans, Neoplasms
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