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. 2020 Sep 23;39:200. doi: 10.1186/s13046-020-01708-6

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© The Author(s) 2020

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. 5 — Expression levels of miRNAs predicted to target TMPRSS2 gene in HNSCC patients. a Graphs showing the correlation (Spearman coefficients) between indicated miRNAs and TMPRSS2 in the TCGA HNSCC dataset. b Box-plot analysis representing expression levels of miRNAs predicted to target TMPRSS2 in non-tumorous (N) and tumor (T) tissues from TCGA HNSCC patients. c Box-plot analysis representing expression levels of miRNAs predicted to target TMPRSS2 in non-tumorous (N), peri-tumor (PT) and tumor (T) tissues from IRCSS Regina Elena National Cancer Institute (IRE) HNSCC patients. d miRNA-centric network using the web tool miRNet. The network shows main validated miRNA-target interaction of the six selected miRNA signature. Genes involved in specific KEGG pathways are highlighted