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. 2024 Jun 7;14(1):94. doi: 10.1038/s41408-024-01075-x

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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. 5 — Principal component analysis using RNAseq data was able to separate NDMM patients according to 1q copy numbers in the MMRF CoMMpass study (A). The separation was maintained when applied to a validation cohort of newly sequenced NDMM patients from the FORTE trial (B). Number of differentially expressed genes divided according to chromosome number are presented in Panel C. Ingenuity Pathway connectivity analysis of differentially expressed genes in Amp1q vs. Normal1q (D) and Gain1q vs. Normal1q (E) shows a deregulated gene network centered on Myc. Green color indicates down-regulation and red color up-regulation.