Fig. 4: Hierarchical clustering of gene signatures representing T cells, immune cells and stromal cells and their products distinguishes responders from non-responders to pembrolizumab. | Nature Communications

Fig. 4: Hierarchical clustering of gene signatures representing T cells, immune cells and stromal cells and their products distinguishes responders from non-responders to pembrolizumab.

From: Gene-expression-based T-Cell-to-Stroma Enrichment (TSE) score predicts response to immune checkpoint inhibitors in urothelial cancer

Fig. 4

Transcriptomic profile of 41 patients with metastatic urothelial carcinoma (mUC), clustered using ConsensusClusterPlus v1.54.038 according to gene signature scores. Transcriptomic and clinical features are listed from top to bottom as follows: response to treatment at 6 months of therapy (responder: ongoing complete or partial response, or stable disease, n = 13; non-responder: progressive disease, n = 28); tumor mutational burden (TMB) classified into high and low; APOBEC enrichment analysis showing tumors with no-, low-, medium- and high-APOBEC mutagenesis; transcriptomic subtypes of mUC30; biopsy site; primary tumor location (bladder or upper tract urothelial carcinoma, UTUC); tumor purity; patients who received systemic treatment prior to start of anti-PD-1 therapy; PD-L1 combined positivity score (CPS; positive: CPS ≥ 10, negative: CPS < 10, or not available (NA)); CD274 (PD-L1) and PDCD1 (PD-1) gene expression; expression score for reported gene signatures related to T cells, immune cells (non-T cells), and stromal cells and their products; T cell-to-stroma enrichment (TSE) score; categories of the TSE score (positive, neutral or negative); T cell receptor (TCR) diversity index and clonotype sizes. Source data are provided as a Source Data file.

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