A New Approach to Understanding Cancer-Related Fatigue: Leveraging the 3P Model to Facilitate Risk Prediction and Clinical Care.
fatigue
metabolomics
survivorship
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
14 Apr 2022
14 Apr 2022
Historique:
received:
28
02
2022
revised:
12
04
2022
accepted:
12
04
2022
entrez:
23
4
2022
pubmed:
24
4
2022
medline:
24
4
2022
Statut:
epublish
Résumé
A major gap impeding development of new treatments for cancer-related fatigue is an inadequate understanding of the complex biological, clinical, demographic, and lifestyle mechanisms underlying fatigue. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. This model framework outlined herein, which incorporates the emerging field of metabolomics, may help to frame a more in-depth analysis of the etiology of cancer-related fatigue as well as a broader and more personalized set of approaches to the clinical treatment of fatigue in oncology care. Included within this review paper is an in-depth description of the proposed biological mechanisms of cancer-related fatigue, as well as a presentation of the 3P model's application to this phenomenon. We conclude that a clinical focus on organization risk stratification and treatment around the 3P model may be warranted, and future research may benefit from expanding the 3P model to understand fatigue not only in oncology, but also across a variety of chronic conditions.
Identifiants
pubmed: 35454890
pii: cancers14081982
doi: 10.3390/cancers14081982
pmc: PMC9027717
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : NCI NIH HHS
ID : T32 CA090314
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA206110
Pays : United States
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