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. 2021 Apr 7;11:7561. doi: 10.1038/s41598-021-86888-7

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© The Author(s) 2021

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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(a) Principal component analysis (PCA) showing distinct clustering between RNA-seq expression of high CDI patients (topmost 50 patients) compared to low CDI patients (bottom 50 patients). (b) Volcano plot showing differential expression of genes between High CDI and low CDI (p < 0.01, log2 fold-change > 2). (c) Functional enrichment analysis of highly expressed genes (log2 fold-change > 2) in (c). High ECM group with most hits for extracellular matrix and (d) Low ECM group with maximum hits for transmembrane transport activity. (e) GeneMANIA gene–gene interaction network showed multiple connections, pre-dominantly co-expression and physical interaction among genes in prognostic signature.