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. 2021 Jul 13;9:57. doi: 10.1186/s40364-021-00289-6

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Dimensionality reduction analysis of differentially expressed miRNAs between tumor samples and normal. Unsupervised hierarchical clustering analysis (a) and principal component analysis (b) using the expression levels of the 266 miRNAs differentially expressed in tumor tissue versus normal tissue in the Regina Elena National Cancer Institute (IRE) cohort. These miRNAs separate the two types of samples, i.e., tumoral and normal tissue samples. This was confirmed by hierarchical clustering analysis in the IRE cohort (c), and by principal component analysis in the IRE cohort (d), and TCGA cohort (e), when using the 54 miRNAs validated against TCGA data. Statistical differences in miRNAs expression were assessed by permutation test and Student’t T-test. Abbreviations: T/N = tumor versus normal; Tsens = platinum sensitive tumor; Tresist = platinum resistant tumor; PC1 = first principal component; PC2 = second principal component; TCGA = The Cancer Genome Atlas