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. 2019 Jun 5;27(3):147–167. doi: 10.1038/s41417-019-0109-7

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© The Author(s) 2019

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. 1 — Transcription levels of PROM1 and PROM2 in different types of cancers (Oncomine and TCGA databases). a This graphic was generated using Oncomine, indicating the numbers of datasets with statistically significant (p < 0.01) overexpression (red) or underexpression (blue) of PROM1 and PROM2 mRNA (cancer vs. corresponding normal tissue). The threshold was designed with the following parameters: p-value = 0.01, fold change = 2, and gene ranking = 10%. The numbers in the boxes represent the number of analyses that met these thresholds. b Analysis of PROM1 and PROM2 mRNA levels in 30 types of human cancer using data from cBioPortal (http://www.cbioportal.org/index.do). Every dot represents a single study. White dots represent those without gene sequencing data, blue dots represent normal gene sequencing results (no mutation), and orange spots represent missense mutations. Flowchart: merged spots represent frame shifts, isosceles triangles represent splice sites, diamonds represent nonsense mutations, and rectangles represent others. The median and interquartile ranges are shown in each box