| Literature DB >> 35694033 |
Gloria E Marino1,2, Ashani T Weeraratna1,2.
Abstract
People over 55 years old represent the majority of cancer patients and suffer from increased metastatic burden compared to the younger patient population. As the aging population increases globally, it is prudent to understand how the intrinsic aging process contributes to cancer progression. As we age, we incur aberrant changes in the extracellular matrix (ECM) of our organs, which contribute to numerous pathologies, including cancer. Notably, the lung, liver, and bone represent the most common sites of distal metastasis for all cancer types. In this review, we describe how age-dependent changes in the ECM of these organs influence cancer progression. Further, we outline how these alterations prime the premetastatic niche and why these may help explain the disparity in outcome for older cancer patients.Entities:
Keywords: aging; cancer biology; metastasis; microenvironment
Year: 2020 PMID: 35694033 PMCID: PMC9187055 DOI: 10.1002/aac2.12013
Source DB: PubMed Journal: Aging Cancer ISSN: 2643-8909
FIGURE 1Age-dependent changes in the extracellular matrix (ECM) of the lung, liver, and bone. As we age, each of these organs incur alterations in the composition and distribution of the extracellular matrix that translate into loss of physiological function. A, Our lung relies on tissue elasticity for effective gas exchange. However, the combined effects of elastin loss and collagen accumulation with age translate into an imbalance in lung tensile strength. This decreases the elastic recoil of the lung and leads to an overall decrease in breathing capacity. B, The liver normally acts as a sieve, where fenestrated vessels effectively filter xenobiotics. As we age, the liver becomes more fibrotic, which is defined by an increase in collagen deposition. When collagen accumulates around these vessels, it causes “pseudocapillarization.” This effectively seals the vessels, which significantly diminishes the liver filtering function. C, The bones rely on delicate matrix homeostasis that balances both mineral and organic constituents to ensure skeletal strength. As we age, this homeostasis is disrupted. The imbalance resulting from loss of collagen and increased mineral content leads to decreased bone strength. Significantly, these age-dependent changes are phenocopied in numerous age-related pathologies including cancer. In realizing that aging, disease, and cancer all confer similar ECM aberrancies, we can begin to understand how these work in tandem to promote cancer progression and decrease survival in older patients. Figure created with Biorender.com
FIGURE 2Age-related changes in the extracellular matrix (ECM) prime future sites of metastasis. When cancer cell “seeds” escape the primary tumor site, they are more likely to grow at a distant “soil” site they deem favorable. Normally, our organs have pliable ECM, with a balance of fibronectin, collagen, elastin, and overall homeostasis. Essentially when we are young, our organ ECMs support appropriate biomechanical function and overall health. Such an environment is unfavorable to cancer cell growth, and thus metastatic outgrowth is inhibited. However, aging induces numerous chances to the ECM in our organ systems. Overall, this includes increased matrix rigidity/stiffness and dysregulated homeostasis. This leads to an imbalance in ECM constituents, most commonly by excess collagen deposition. The resulting stiffness manifests in loss of elasticity (lung), pseudocapillarization (liver), and mineral imbalance (bones). These changes also exacerbate immunosenescence and cellular senescence, which help form a more complete premetastatic niche. In all, the aging process forms fertile “soil” that is favorable to cancer cell survival and growth. More studies are needed to explore the direct link between intrinsic aging and metastasis. Specifically, work should focus on ways to target the aged ECM of the lung, liver, bone, and others, to disrupt the metastatic cascade with the goal of improving outcomes for the aged patient population. Figure created with Biorender.com