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. 2017 Nov 9;46(Database issue):D956–D963. doi: 10.1093/nar/gkx1090

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© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 4. — Multi-omics based protein signature for poor prognosis in ovarian cancer. (A) 1122 and 141 genes were significantly associated with patient survival time based on the copy number and proteomics data, respectively (P <0.01, Cox regression). (B) The Venn diagram analysis with directional constraint identified 13 overlapping genes between the two platforms, and the 12 genes associated with poor-prognosis are shown in the table. (C) Kaplan–Meier survival curves for patients with above- (red) and below- (green) median ACTN4 copy number estimates (Hazard ratio [HR] = 1.235, P = 1.548e–04). (D) Kaplan–Meier survival curves for patients with above- (red) and below- (green) median ACTN4 protein abundance (HR = 4.073, P = 3.2e–04).