Cancer and Aging: Two Tightly Interconnected Biological Processes.

aging biomarkers cancer

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
19 Mar 2021
Historique:
received: 09 02 2021
revised: 15 03 2021
accepted: 17 03 2021
entrez: 3 4 2021
pubmed: 4 4 2021
medline: 4 4 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33808654
pii: cancers13061400
doi: 10.3390/cancers13061400
pmc: PMC8003441
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Lieze Berben (L)

Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, 3000 Leuven, Belgium.

Giuseppe Floris (G)

Department of Pathology, University Hospitals Leuven, 3000 Leuven, Belgium.
Laboratory of Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, 3000 Leuven, Belgium.

Hans Wildiers (H)

Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, 3000 Leuven, Belgium.
Department of General Medical Oncology, University Hospitals Leuven, 3000 Leuven, Belgium.

Sigrid Hatse (S)

Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, 3000 Leuven, Belgium.

Classifications MeSH