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. 2022 Jun 15;20:87. doi: 10.1186/s12964-022-00898-0

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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/. 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. 1 — NEK2 was highly expressed in ESCC and indicated worse overall survival in patients. A The mRNA expression of NEK2 in ESCC tissues was varied from 2.475 to 5.205 folds of those in normal esophageal epithelia in TCGA-ESCA, GSE23400, GSE20347. B NEK2 presented as a reliable cancerous biomarker with distinguished AUC at 93.8% in the TCGA cohort. C NEK2 was expressed abundantly throughout the ESCC and its level was higher than normal epithelia in tissue revealed by TMA, most of which were confined to the basal layer in the latter (P < 0.001, Mann–Whitney U test). D Higher expression of NEK2 was more frequently found in invading ESCC than non-invading ones in GSE21293(P < 0.001, Wilcoxon test). E Higher expression of NEK2 led to worse overall survival in ESCC patients. F Higher expression of NEK2, as well as lymph node invasion, were two independent predictors of ESCC mortality. TCGA The Cancer Genome Atlas; ESCA esophageal carcinoma; AUC area under the curve; TMA tissue microarray