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. 2022 Nov 26;50(2):1167–1180. doi: 10.1007/s11033-022-07917-w

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© The Author(s) 2022

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/.

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Fig. 2 — Bioinformatic analysis reveals the superior predictive values of high eIF6 expression levels. (A) ROC curve for eIF6 expression in normal and LUAD tissues from the GSE31210 dataset. AUC = 0.789. (B) ROC curve for eIF6 expression in normal and LUAD tissues from the GSE30219 dataset. AUC = 0.764. (C) ROC curve for eIF6 expression in normal and LUAD tissues from the GSE13213 dataset. AUC = 0.717. (D) Kaplan-Meier analysis indicated that patients with higher expression eIF6 levels were associated with poorer OS outcomes compared with those in patients with lower expression eIF6 levels according to the GSE31210 dataset (n = 246). Log-rank test, P = 0.019. (E) Kaplan-Meier analysis indicated that patients with higher eIF6 expression levels were associated with poorer OS outcomes compared with those in patients with lower eIF6 levels according to the GSE30219 dataset (n = 307). Log-rank test, P = 0.019. (F) Kaplan-Meier analysis indicated that patients with higher eIF6 expression levels were associated with poorer OS outcomes compared with those in patients with lower eIF6 levels according to the GSE13213 dataset (n = 117). Log-rank test, P = 0.019. ^***P < 0.001. eIF6, eukaryotic translation initiation factor 6; LUAD, lung adenocarcinoma;ROC, receiver operating characteristic; AUC, area under the curve; OS, overall survival