Fig. 8: The association between SLC1A5 and immune profile in tumors.

A Immune score of tumors analyzed by Cibersortx algorithms. Upper, OSCC tumors. Normal (N, n = 30), SLC1A5-Low (L, n = 27) and SLC1A5-High (H, n = 28). The medium TPM value of SLC1A5 separates tumors into L and H subsets. Lower, TCGA-HNSCC tumors. Normal (N, n = 43), SLC1A5-Low (L, n = 313) and SLC1A5-High (H, n = 208). The mean TPM value of SLC1A5 separates tumors into L and H subsets. Blue, decreases significantly; Red, increases significantly; Black, no statistically significant difference. B Comparison across SLC1A5-Low and SLC1A5-High patient groups in GSEA of cancer hallmark gene set, respectively. They highlight the conspicuous dysregulation in the immune, metabolism, oncogenicity, and cell survival according to SLC1A5 expression. C The fold change in the hallmark gene expression set in FaDu-sh-SLC1A5 cell subclone and our OSCC cohort. D Volcano plot. It deciphers genes drastically affected by SLC1A5 in OSCC tumors. The top 15 most eminently upregulated and four downregulated genes are shown in the diagram. E The correlation between SLC1A5 and our dataset’s top 18 upregulated genes. Herein, only five genes exhibiting significant correlation are shown. r, correlation coefficient. Unpaired t-test and correlation analysis. *, **, ***, and **** represent P < 0.05, P < 0.01, P < 0.001 and P < 0.0001, respectively.