Fig. 1: Bioinformatic analysis of the expression of FUT2 and fatty acid metabolism in CRC. | Communications Biology

Fig. 1: Bioinformatic analysis of the expression of FUT2 and fatty acid metabolism in CRC.

From: FUT2 promotes colorectal cancer metastasis by reprogramming fatty acid metabolism via YAP/TAZ signaling and SREBP-1

Fig. 1

A The mRNA levels of FUT2 in normal (n = 359) and CRC (n = 616) specimens were quantified. Relevant data processing details of the specimens were provided in the methods section. B Representative immunohistochemistry (IHC) images from the Human Protein Atlas (HPA) illustrating the expression of FUT2 in CRC and normal tissues. Scale bar represents 200 μm. C Receiver operating characteristic (ROC) curve analysis of FUT2 mRNA expression in CRC (n = 975), showing an AUC of 0.782, with a sensitivity of 98% and specificity of 55%. Relevant data processing details were provided in the methods section. D Tumor microenvironment (TME) score categorized by the expression levels of FUT2 in the TCGA-CRC dataset, indicating its correlation with the stromal score. Relevant data processing details were provided in the methods section. E TSNE plot illustrating cell type clustering in the GSE146771 dataset, highlighting the distribution of various cell populations. Relevant data processing details were provided in the methods section. F TSNE plot depicting the distribution of FUT2 expression across different cell subsets within the GSE146771 dataset, indicating its correlation with malignancy. Relevant data processing details were provided in the methods section. G Violin plot representing FUT2 expression at the single-cell level within the GSE146771 dataset, showing variability among different cell types. Relevant data processing details were provided in the methods section. H TSNE plot of the gene set associated with fatty acid metabolism across cell subsets within the GSE146771 dataset, providing insights into metabolic reprogramming. Relevant data processing details were provided in the methods section. I GSEA comparing high and low FUT2 expression groups in the TCGA-CRC dataset, revealing a significant enrichment of fatty acid metabolism pathways (P = 0.00052, NES = 1.78). Relevant data processing details were provided in the methods section. Statistical significance was determined using Wilcoxon rank test, with *p < 0.05, ****p < 0.0001, ns: not significant.

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