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Cancer and Aging: Two Tightly Interconnected Biological Processes

SIMPLE SUMMARY: As life expectancy is increasing, the older population is rapidly growing. However, older patients with cancer are still underrepresented in clinical trials, making treatment of these patients challenging for oncologists. Robust biomarkers that reflect the body’s biological age can b...

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Autores principales: Berben, Lieze, Floris, Giuseppe, Wildiers, Hans, Hatse, Sigrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003441/
https://www.ncbi.nlm.nih.gov/pubmed/33808654
http://dx.doi.org/10.3390/cancers13061400
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author Berben, Lieze
Floris, Giuseppe
Wildiers, Hans
Hatse, Sigrid
author_facet Berben, Lieze
Floris, Giuseppe
Wildiers, Hans
Hatse, Sigrid
author_sort Berben, Lieze
collection PubMed
description SIMPLE SUMMARY: As life expectancy is increasing, the older population is rapidly growing. However, older patients with cancer are still underrepresented in clinical trials, making treatment of these patients challenging for oncologists. Robust biomarkers that reflect the body’s biological age can be helpful to provide older patients with cancer with an optimal personalized treatment. However, to be able to identify such biomarkers, more in-depth research is needed in this underexplored population. In this review, we have put together the current knowledge concerning the mechanistic connections between aging and cancer, as well as aging biomarkers that could be useful in the field of geriatric oncology. ABSTRACT: Age is one of the main risk factors of cancer; several biological changes linked with the aging process can explain this. As our population is progressively aging, the proportion of older patients with cancer is increasing significantly. Due to the heterogeneity of general health and functional status amongst older persons, treatment of cancer is a major challenge in this vulnerable population. Older patients often experience more side effects of anticancer treatments. Over-treatment should be avoided to ensure an optimal quality of life. On the other hand, under-treatment due to fear of toxicity is a frequent problem and can lead to an increased risk of relapse and worse survival. There is a delicate balance between benefits of therapy and risk of toxicity. Robust biomarkers that reflect the body’s biological age may aid in outlining optimal individual treatment regimens for older patients with cancer. In particular, the impact of age on systemic immunity and the tumor immune infiltrate should be considered, given the expanding role of immunotherapy in cancer treatment. In this review, we summarize current knowledge concerning the mechanistic connections between aging and cancer, as well as aging biomarkers that could be helpful in the field of geriatric oncology.
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spelling pubmed-80034412021-03-28 Cancer and Aging: Two Tightly Interconnected Biological Processes Berben, Lieze Floris, Giuseppe Wildiers, Hans Hatse, Sigrid Cancers (Basel) Review SIMPLE SUMMARY: As life expectancy is increasing, the older population is rapidly growing. However, older patients with cancer are still underrepresented in clinical trials, making treatment of these patients challenging for oncologists. Robust biomarkers that reflect the body’s biological age can be helpful to provide older patients with cancer with an optimal personalized treatment. However, to be able to identify such biomarkers, more in-depth research is needed in this underexplored population. In this review, we have put together the current knowledge concerning the mechanistic connections between aging and cancer, as well as aging biomarkers that could be useful in the field of geriatric oncology. ABSTRACT: Age is one of the main risk factors of cancer; several biological changes linked with the aging process can explain this. As our population is progressively aging, the proportion of older patients with cancer is increasing significantly. Due to the heterogeneity of general health and functional status amongst older persons, treatment of cancer is a major challenge in this vulnerable population. Older patients often experience more side effects of anticancer treatments. Over-treatment should be avoided to ensure an optimal quality of life. On the other hand, under-treatment due to fear of toxicity is a frequent problem and can lead to an increased risk of relapse and worse survival. There is a delicate balance between benefits of therapy and risk of toxicity. Robust biomarkers that reflect the body’s biological age may aid in outlining optimal individual treatment regimens for older patients with cancer. In particular, the impact of age on systemic immunity and the tumor immune infiltrate should be considered, given the expanding role of immunotherapy in cancer treatment. In this review, we summarize current knowledge concerning the mechanistic connections between aging and cancer, as well as aging biomarkers that could be helpful in the field of geriatric oncology. MDPI 2021-03-19 /pmc/articles/PMC8003441/ /pubmed/33808654 http://dx.doi.org/10.3390/cancers13061400 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Berben, Lieze
Floris, Giuseppe
Wildiers, Hans
Hatse, Sigrid
Cancer and Aging: Two Tightly Interconnected Biological Processes
title Cancer and Aging: Two Tightly Interconnected Biological Processes
title_full Cancer and Aging: Two Tightly Interconnected Biological Processes
title_fullStr Cancer and Aging: Two Tightly Interconnected Biological Processes
title_full_unstemmed Cancer and Aging: Two Tightly Interconnected Biological Processes
title_short Cancer and Aging: Two Tightly Interconnected Biological Processes
title_sort cancer and aging: two tightly interconnected biological processes
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003441/
https://www.ncbi.nlm.nih.gov/pubmed/33808654
http://dx.doi.org/10.3390/cancers13061400
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