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. 2021 Mar 24;19:39. doi: 10.1186/s12964-021-00728-9

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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 — The relationship between tumor microenvironment associated signals and angiogenesis score in TCGA KIRC patients. MMRN2, CLEC14A, ACVRL1, EFNB2, and TEK in No. 7 candidate angiogenesis gene set were associated with overall survival in both TCGA-KIRC and E-MTAB-1980 KIRC data a, b prognosis associated immune cells were showed on the left side of figure; correlation between angiogenesis and immune cells was showed on the right side of figure; Kaplan–Meier survival curve analysis showed the prognosis effect of VEGF signal (c) and hypoxia (d) signal in TCGA KIRC patients; e correlation between angiogenesis and VEGF signal in TCGA KIRC samples; f correlation between angiogenesis and hypoxia signal in TCGA KIRC samples