Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites

Abstract Circulating microRNAs are non-invasive biomarkers that can be used for breast cancer diagnosis. However, differences in cancer tissue microRNA expression are observed in populations with different genetic/environmental backgrounds. This work aims at checking if a previously identified diagn...

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Autores principales:	Jeanne P. Uyisenga, Ahmed Debit, Christophe Poulet, Pierre Frères, Aurélie Poncin, Jérôme Thiry, Leon Mutesa, Guy Jerusalem, Vincent Bours, Claire Josse
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d916c08b576f43a2930a6c35039f5062
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spelling	oai:doaj.org-article:d916c08b576f43a2930a6c35039f50622021-12-02T15:56:49ZDifferences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites10.1038/s41598-021-91278-02045-2322https://doaj.org/article/d916c08b576f43a2930a6c35039f50622021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91278-0https://doaj.org/toc/2045-2322Abstract Circulating microRNAs are non-invasive biomarkers that can be used for breast cancer diagnosis. However, differences in cancer tissue microRNA expression are observed in populations with different genetic/environmental backgrounds. This work aims at checking if a previously identified diagnostic circulating microRNA signature is efficient in other genetic and environmental contexts, and if a universal circulating signature might be possible. Two populations are used: women recruited in Belgium and Rwanda. Breast cancer patients and healthy controls were recruited in both populations (Belgium: 143 primary breast cancers and 136 healthy controls; Rwanda: 82 primary breast cancers and 73 healthy controls; Ntot = 434), and cohorts with matched age and cancer subtypes were compared. Plasmatic microRNA profiling was performed by RT-qPCR. Random Forest was used to (1) evaluate the performances of the previously described breast cancer diagnostic tool identified in Belgian-recruited cohorts on Rwandan-recruited cohorts and vice versa; (2) define new diagnostic signatures common to both recruitment sites; (3) define new diagnostic signatures efficient in the Rwandan population. None of the circulating microRNA signatures identified is accurate enough to be used as a diagnostic test in both populations. However, accurate circulating microRNA signatures can be found for each specific population, when taken separately.Jeanne P. UyisengaAhmed DebitChristophe PouletPierre FrèresAurélie PoncinJérôme ThiryLeon MutesaGuy JerusalemVincent BoursClaire JosseNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jeanne P. Uyisenga Ahmed Debit Christophe Poulet Pierre Frères Aurélie Poncin Jérôme Thiry Leon Mutesa Guy Jerusalem Vincent Bours Claire Josse Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
description	Abstract Circulating microRNAs are non-invasive biomarkers that can be used for breast cancer diagnosis. However, differences in cancer tissue microRNA expression are observed in populations with different genetic/environmental backgrounds. This work aims at checking if a previously identified diagnostic circulating microRNA signature is efficient in other genetic and environmental contexts, and if a universal circulating signature might be possible. Two populations are used: women recruited in Belgium and Rwanda. Breast cancer patients and healthy controls were recruited in both populations (Belgium: 143 primary breast cancers and 136 healthy controls; Rwanda: 82 primary breast cancers and 73 healthy controls; Ntot = 434), and cohorts with matched age and cancer subtypes were compared. Plasmatic microRNA profiling was performed by RT-qPCR. Random Forest was used to (1) evaluate the performances of the previously described breast cancer diagnostic tool identified in Belgian-recruited cohorts on Rwandan-recruited cohorts and vice versa; (2) define new diagnostic signatures common to both recruitment sites; (3) define new diagnostic signatures efficient in the Rwandan population. None of the circulating microRNA signatures identified is accurate enough to be used as a diagnostic test in both populations. However, accurate circulating microRNA signatures can be found for each specific population, when taken separately.
format	article
author	Jeanne P. Uyisenga Ahmed Debit Christophe Poulet Pierre Frères Aurélie Poncin Jérôme Thiry Leon Mutesa Guy Jerusalem Vincent Bours Claire Josse
author_facet	Jeanne P. Uyisenga Ahmed Debit Christophe Poulet Pierre Frères Aurélie Poncin Jérôme Thiry Leon Mutesa Guy Jerusalem Vincent Bours Claire Josse
author_sort	Jeanne P. Uyisenga
title	Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
title_short	Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
title_full	Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
title_fullStr	Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
title_full_unstemmed	Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
title_sort	differences in plasma microrna content impair microrna-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d916c08b576f43a2930a6c35039f5062
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Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites

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