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. 2021 Dec 20;21:690. doi: 10.1186/s12935-021-02395-9

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© The Author(s) 2021

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 — AGAP2-AS1 expression levels can be used to classify patients into those with poor and good prognoses. In a, the classification of n = 8 progressors and n = 16 matched nonprogressors is displayed. Each pillar represents one sample. Columns with negative confidence (y-axis) were classified as progressors, whereas positive values were classified as nonprogressors. Colors indicate the actual status as either progressor (red) or nonprogressor (blue). Correct classification was observed in 23 of 24 samples (sensitivity: 87.5%; specificity: 100%, area under the curve score 0.93). b Shows the results from mining the GDC TCGA ccRCC data on the prognostic significance of AGAP2-AS1 for patients with ccRCC or controls. The blue lines represent patients with low expression of AGAP2-AS1, while the red lines represent high expression. Time is displayed on the x-axis, while the y-axis displays the percentage of surviving patients. Higher expression of AGAP2-AS1 is significantly associated with poor prognosis