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External validation of the prognostic gene signature and gene expression pattern

GL Gao-Min Liu
HZ Hua-Dong Zeng
CZ Cai-Yun Zhang
JX Ji-Wei Xu
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GSE14520 dataset from the GEO database was downloaded [10]. The risk score for each included patient was calculated with the same prognostic gene-signature based model. Next, the ROC curve and the Kaplan–Meier curve were used to test the predictive value of the prognostic gene signature. The mRNA expression of the genes in the prognostic gene signature was analyzed in HCC and non-tumor tissue using the Wilcoxon signed-rank test. The two-sided P < 0.05 was considered statistically significant. The protein expression of the genes in the prognostic gene signature was explored in the Human Protein Atlas (http://www.proteinatlas.org) online database.

Copyright and License information: The Author(s) ©2019
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

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