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. 2016 Apr 5;35:64. doi: 10.1186/s13046-016-0333-z

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© Cruz-Rodriguez et al. 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

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Fig. 4 — Validation of gene expression profile for outcome prediction. a Unsupervised hierarchical clustering analysis applied to 43 patients according to the expression of our 7 genes signature for prognosis prediction. Expression of selected 7 prognostic relevant genes determined by RT-PCR was used to cluster all 43 patients included in the study. Unsupervised cluster distinguished 2 groups of samples (red, bad prognosis; and green, good prognosis). b Expression of 7 genes for prognosis prediction in the 2 clustered groups (red and green bars in Figs. 1a and 4a) determined by RT-PCR. Results were normalized against the expression level of GAPDH. High expression of ID3, IGJ, ID1 and CMTM8 was shown to be associated with predicted poor prognosis (PPP)