» Articles » PMID: 33946605

A Physically Active Status Affects the Circulating Profile of Cancer-Associated MiRNAs

Overview
Specialty Radiology
Date 2021 May 5
PMID 33946605
Authors
Affiliations
Soon will be listed here.
Abstract

Circulating miRNAs are ideal diagnostics and prognostics biomarkers in cancer since altered levels of specific miRNAs have been associated to development/progression of several cancers. Physical activity is a recognized preventive strategy against several cancers, but it may also modify the baseline levels of cancer-associated miRNAs and, hence, may act as a confounding pre-analytical variable. This study aimed at understanding whether physical activity-dependent changes in cancer-associated circulating miRNAs profile could act as a confounding variable. A panel comprising 179 miRNAs was assayed in plasma from 20 highly trained and 10 sedentary men. RT-qPCR data were analyzed with the 2 methods and normalized on hsa-miR-320d, as determined by bioinformatics analysis. miRNAs associated with the diagnosis of the most prevalent cancers were considered. Only those miRNAs, relevantly associated with cancers, found ≥2-fold up- or downregulated in highly trained subjects compared to sedentary were disclosed. The results reveal that chronic physical activity determined modifications altering the baseline level of several cancer-associated miRNAs and, hence, their diagnostic and prognostic potential. In conclusion, based on our results, a physically active status emerges as an important pre-analytical variable able to alter the basal level of circulating miRNAs, and these alterations might be considered as potentially misleading the analytical output.

Citing Articles

Circulating biomarkers associated with walking performance in elderly subjects: exploring miRNAs, metabolic and inflammatory biomarkers.

Faraldi M, Provinciali M, Di Rosa M, Moresi R, Sansoni V, Gomarasca M Geroscience. 2025; .

PMID: 39833599 DOI: 10.1007/s11357-025-01510-2.

References
1.
Zhao R, Bu W, Chen Y, Chen X . The Dose-Response Associations of Sedentary Time with Chronic Diseases and the Risk for All-Cause Mortality Affected by Different Health Status: A Systematic Review and Meta-Analysis. J Nutr Health Aging. 2019; 24(1):63-70. DOI: 10.1007/s12603-019-1298-3. View

2.
Lauby-Secretan B, Scoccianti C, Loomis D, Grosse Y, Bianchini F, Straif K . Body Fatness and Cancer--Viewpoint of the IARC Working Group. N Engl J Med. 2016; 375(8):794-8. PMC: 6754861. DOI: 10.1056/NEJMsr1606602. View

3.
Yao B, Qu S, Hu R, Gao W, Jin S, Liu M . A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma. FEBS Open Bio. 2019; 9(12):2149-2158. PMC: 6886307. DOI: 10.1002/2211-5463.12753. View

4.
Yang J, Li B, Lu H, Chen Y, Lu C, Zhu R . Serum miR-152, miR-148a, miR-148b, and miR-21 as novel biomarkers in non-small cell lung cancer screening. Tumour Biol. 2014; 36(4):3035-42. DOI: 10.1007/s13277-014-2938-1. View

5.
Wang H, Peng R, Wang J, Qin Z, Xue L . Circulating microRNAs as potential cancer biomarkers: the advantage and disadvantage. Clin Epigenetics. 2018; 10:59. PMC: 5913875. DOI: 10.1186/s13148-018-0492-1. View