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. 2020 Feb 21;5:10. doi: 10.1038/s41392-019-0103-4

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© The Author(s) 2020

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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Fig. 2 — a Ki67 index in gliomas of different pathologic grades (I: 4, II: 10, III: 15, and IV: 34). b Correlation between overall survival and the Ki67 index (Ki67 low, n = 17; Ki67 high, n = 23). c–e Correlation between the Ki67 index and H scores of IDO1 (n = 10), IDO2 (n = 22), and TDO (n = 34). f–i Correlation between overall survival and the expression of IDO1, IDO2, and TDO (IDO1 + , n = 13; IDO1−, n = 30; IDO2 + , n = 12; IDO2−, n = 31; TDO + , n = 23; TDO−, n = 20; IDO1 + TDO + , n = 9; IDO1–TDO−, n = 16). Statistical significance was determined by one-way ANOVA followed by Dunnett’s test; data are presented as the mean ± SEM (a). Kaplan–Meier curves of overall survival of patients with glioma were determined by log-rank test (b, f–i). Survival time is the interval between diagnosis and tumor-specific death, progression, or the last follow-up. *p < 0.05; **p < 0.01.