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. 2023 Mar 10;21:189. doi: 10.1186/s12967-023-04035-4

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© The Author(s) 2023

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. 10 — Pharmacogenetic analysis identified pyridostatin as a potent drug for high IMMT expression. A–J Identification of pyridostatin as a potential drug candidate. Scatter plot showing scores of predictivity and descriptivity for drugs acting on BC cells with various single guide IMMT (sgIMMT) efficacy. Dots in red and blue represent hits with a predictivity p-value of < 0.05 and a descriptivity p-value of 0.05 (A). Boxplots showing –log (IC50) M of AICAR (5-Aminoimidazole-4-carboxamide ribonucleotide) (B), MK-1775(C), luminespib (D), ulixertinib (E), camptothecin (F), wee1 inhibitor (G), and pyridostatin (H). *p < 0.05, **p < 0.01, ***p < 0.001 between indicated groups. Dot plots showing the correlation of pyridostatin sensitivity with IMMT expression (I) and with IMMT copy number (J)