Literature DB >> 33946605

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

Martina Faraldi1, Laura Gerosa2, Marta Gomarasca1, Veronica Sansoni1, Silvia Perego1, Ewa Ziemann3, Giuseppe Banfi1,4, Giovanni Lombardi1,3.   

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 2-2ΔΔCT 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.

Entities:  

Keywords:  cancer biomarkers; circulating miRNAs; physical activity; pre-analytical variables

Year:  2021        PMID: 33946605     DOI: 10.3390/diagnostics11050820

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  102 in total

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4.  Body Fatness and Cancer--Viewpoint of the IARC Working Group.

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5.  Identifying circulating miRNA biomarkers for early diagnosis and monitoring of lung cancer.

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6.  Serum miR-152, miR-148a, miR-148b, and miR-21 as novel biomarkers in non-small cell lung cancer screening.

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Journal:  Tumour Biol       Date:  2014-12-14

7.  The emerging role of extracellular vesicle-derived miRNAs: implication in cancer progression and stem cell related diseases.

Authors:  Qiwei Yang; Michael P Diamond; Ayman Al-Hendy
Journal:  J Clin Epigenet       Date:  2016-01-31

8.  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.

Authors:  R Zhao; W Bu; Y Chen; X Chen
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

Review 9.  Circulating microRNAs as potential cancer biomarkers: the advantage and disadvantage.

Authors:  Hao Wang; Ran Peng; Junjie Wang; Zelian Qin; Lixiang Xue
Journal:  Clin Epigenetics       Date:  2018-04-23       Impact factor: 6.551

10.  A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma.

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Journal:  FEBS Open Bio       Date:  2019-11-21       Impact factor: 2.693

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  1 in total

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  1 in total

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