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. 2022 Feb 9;21:42. doi: 10.1186/s12943-022-01527-7

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© The Author(s) 2022

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. 2 — Validation and performance evaluation of circRNA biomarker panel in clinical cohorts of tissue and serum specimens. A ROC curve analysis to evaluate the performance of 10 circRNAs based biomarker panel and B risk probability distribution plot in a pilot cohort of matched GC tissue specimens and adjacent normal mucosa (ANM). C ROC curve analysis to examine the performance of 8 circRNA-biomarker panel and D risk probability distribution plot in a training cohort of serum samples from GC patients and non-disease controls. E ROC curve analysis and F risk probability distribution plots in a serum validation cohort of serum samples from GC patients and non-disease controls. ROC curves are shown with 95% CIs. Green lines in right panel indicate 95% CIs of sensitivity and specificity for each circRNA; green points, best threshold for sensitivity and specificity