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. 2017 Aug 18;7:8803. doi: 10.1038/s41598-017-09169-2

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© The Author(s) 2017

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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Multivariate analysis showing metabolic profiles in EC. Principal Component Analysis (PCA) plots showing separation between EC tissue samples (T, in green) and control tissue samples (N, in red) (Panel A) and separation between different EC FIGO stages (stage 1: TI, stage 2: TII, stage 3: TIII) (Panel B) for the positive MS ionization mode. X-axis shows interclass separation and Y-axis illustrates the intra-class variability. Panel C. Heat map of ion rankings, corresponding to their relative concentrations (intensity) for positive MS ionization mode, in the same cohort of subjects. Each row represents a unique feature with a specific m/z and RT while each column represents a unique subject. (m/z: mass to charge ratio; RT: retention time).