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. 2023 Oct 9;21:702. doi: 10.1186/s12967-023-04519-3

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© The Author(s) 2023

Open Access This 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. 3 — MAGEA2 overexpression represses gemcitabine-induced apoptotic pathways via inhibition of the JNK-c-Jun-p53 pathway. A Representative images of the apoptosis arrays derived from Gem treated MIA PaCa-2 derived VA or MAGEA2 C10 clones are given (n = 4 dots from 2 independent experiments). Arrows indicate the apoptotic related proteins with significant changes. B Western blot analysis of placebo or Gem treated MIA PaCa-2 derived VA and MAGEA2 C10 clones. Hsc70 was used as a loading control. C Western blot analysis of placebo -/ + anisomycin (Ani) and Gem-/ + Ani treated MIA PaCa-2 derived VA and MAGEA2 C10 clones. D, E Bar charts represent the relative survival of MIA PaCa-2/CFPAC-1 derived VA and MAGEA2 clones after treated with Gem or Gem plus Ani (Anisomycin). Means ± S.E.M. (n = 3 independent experiments). *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001. A Student’s t test. D, E One-way ANOVA