Fig. 6: Single-nucleus RNA-seq analysis of tumor-adjacent normal tissue.
From: Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma
a UMAP visualization of all 51,416 adjacent normal nuclei, color-coded based on the broad cell type annotation. b UMAP visualization of all 51,416 adjacent normal nuclei, color-coded based on the cell subtype annotation. c UMAP colored by module 20 score (calculated per nucleus). d Percentage of cells with a positive module 20 score in each cell subtype. e Cell subtypes with significantly upregulated expression of the module 20 signature in patients that eventually progress; statistical significance is calculated using the Mann–Whitney U test (two-sided; the Holm method was used to adjust p-values). Boxplots show medians (horizontal line in each box), interquartile ranges (boxes), 1.5 interquartile (whiskers) and each point represents a patient. f Kaplan–Meier curve for disease-free survival using the monocytes expression profile to calculate module 20 high (n = 62) and low (n = 61) groups. 95% confidence interval was also shown in shaded blue and red. P-value determined by the log-rank test.
