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. 2017 Oct 6;7:12782. doi: 10.1038/s41598-017-13092-x

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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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Validation of candidate peptides in another cohort. (a) Relative quantitation of peptides among three cohorts by SRM analysis (N: non-cancer control, C1: stage1 cancer, C2: stage2 cancer). Graph of dot plot shows the peak area ratio of the endogenous peptide to that of the SI-peptide (*p < 0.05, **p < 0.01, N.S: not significant) (b) ROC curve analysis for discriminating between N and C1 (green line) or between N and C2 (red line). The area under the curve (AUC) for the discrimination is shown on each graph. (c) Sensitivities and specificities of target peptides in another cohort. Sensitivity and specificity are calculated as the percentage of sample using the cutoff point obtained by the training study.