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. 2021 Jun 3;11:11698. doi: 10.1038/s41598-021-91278-0

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Circulating microRNA contents are different in Belgian- and Rwandan-recruited populations. (A) Principal Component Analysis performed on the plasmatic microRNAs from cohorts MATCHED-BE (red) and MATCHED-RW (blue) shows that the two populations display distinct profiles. (B) The best 25 circulating microRNAs able to discriminate Belgium-from Rwanda-recruited women were determined either by random forest feature selection or by Kruskal–Wallis statistical test and are represented in the two yellow sets. The 25 circulating microRNAs that were best performing to discriminate healthy women from breast cancer patients in a Belgian-recruited population as determined in the publication Frères et al. are represented in the pink set. The Venn diagram is showing the intersection of these three groups, highlighting hsa-let-7d-5p and hsa-miR-103a-3p that are able to both discriminate healthy/cancer and Rwanda/Belgium women.