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. 2018 Sep 24;8:14269. doi: 10.1038/s41598-018-32549-1

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© The Author(s) 2018

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Methodology flowchart. (a) Samples were collected from fresh frozen human prostate tissue and cryosections were stained with hematoxylin and eosine. Two pathologists evaluated Grade Group and reactive stroma grade (RSG). Samples with >50% tumor content were selected for further metabolomics and transcriptomics analysis. Data analysis included survival analysis (Kaplan-Meier and Cox hazard proportional analysis) with biochemical recurrence as endpoint, multivariate orthogonal partial least squares discriminant analysis (OPLS-DA), linear mixed models (LMM), gene expression analysis (GEA) and Pearson correlation between selected genes and metabolites. GEA results were used for enrichment analysis. (b) Venn diagram of samples used for metabolomics, transcriptomics and both.