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. 2019 Jun 19;9:8770. doi: 10.1038/s41598-019-45165-4

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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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Assessment of the prognostic value of six key genes in ovarian cancer, using the MetaGxOvarian package. (a) Heatmap representation of hazard ratios for each gene, across 17 datasets. The estimate is presented as a hazard ratio for each gene. Ratios greater than 1 (red) indicate worse prognosis for elevated expression levels of that gene in the respective datasets. (b) Random effects meta-estimates of the hazard ratios for each gene, calculated by pooling the hazard ratios from each individual dataset. (c) Kaplan-Meier curves of NUAK1. Each KM plot represents patients of a specific tumour grade. Within each plot, patients are split into ‘high’ and ‘low’ based whether they fall above or below the median NUAK1 gene expression. The asterisks above the D indices indicate whether the D index was statistically significant (p < 0.05).