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. 2021 Oct 16;21:537. doi: 10.1186/s12935-021-02245-8

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© The Author(s) 2021

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 — miR-140-3p was poorly expressed in tissues and cells of GC and was related to the prognosis and clinicopathologic features of patients with GC. A, B The expression of miR-140-3p in gastric adenocarcinoma was predicted by the Starbase and UALCAN database. C The expression of miR-140-3p in GC tissues and adjacent tissues was detected using RT-qPCR. D The expression of miR-140-3p in GC cell lines was detected using RT-qPCR. E The relation between miR-140-3p and the prognosis in patients with GC was analyzed with Kaplan–Meier Plotter. F The relation between the expression of miR-140-3p in GC tissues and prognosis in patients was analyzed by Kaplan–Meier. N = 60. The cell experiment was repeated 3 times independently. Data in D were presented as mean ± standard deviation. Comparisons between two panels in C were analyzed using the t-test. Comparisons of data in F were performed using the Log Rank test. Comparisons of data in D were performed using one-way ANOVA, followed by Tukey's multiple comparisons test. ^**p < 0.01