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. 2023 Oct 9;13:16991. doi: 10.1038/s41598-023-43988-w

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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/.

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Tumor tissue transcriptomics and validation between HR-NB and LIR-NB. (A) The volcano plot shows differentially expressed genes across transcriptomics. Red represents up-regulated mRNAs, green represents down-regulated mRNAs, and gray represents mRNAs with no change in expression. (B) Differentially expressed genes of HR-NB compared to LIR-NB in tumor tissues. (C) The heatmap shows segregation of HR-NB and LIR-NB based on mRNA profile. (oebiotech, https://cloud.oebiotech.com/task/) (D) Expression trends of genes in RT-PCR are consistent with transcriptomics results. 1 to 11 represent: FABP4, CXCL9, MFAP4, CD3, IL-10, CDK2, CIP2A, CHL1, TCF7L2, UNC5D, ERBB3.