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. 2024 Jun 28;5(8):1267–1284. doi: 10.1038/s43018-024-00784-3

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© The Author(s) 2024

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/.

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Fig. 4 — a, Global protein levels in newly diagnosed MM samples (n = 114) were compared with those in premalignant MGUS samples (n = 7) with a two-sided, moderated two-sample t-test. The log₂FC of each protein is plotted against its P value. P values were adjusted with the Benjamini–Hochberg method and the significance threshold of 0.05 FDR is indicated. b, PCA of global proteome data of newly diagnosed MM, MGUS and PCL samples. c, Global protein levels in MM samples (n = 114) were compared against PCL (n = 17) with a two-sided, moderated two-sample t-test. The log₂ fold change of each protein is plotted against its P value. P values were adjusted with the Benjamini–Hochberg method and the significance threshold of 0.05 FDR is indicated. d, The mean log₂ fold change of proteins in MM versus MGUS or PCL versus MM or samples was used as input for an ssGSEA analysis. The plot shows proteins ordered by their rank; proteins belonging to the respective gene set are marked by color. The normalized enrichment score (NES) and FDR of each gene set are indicated.

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