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Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data

Fig 1

scRNA-seq characteristics of metastatic melanoma by immunotherapy response.

(A) UMAP visualization of cell types in melanoma tissues. (B) UMAP plot illustrating the distribution of immunotherapy responders and non-responders. Responders (blue) and non-responders (gray) exhibit distinct clustering patterns. (C) Volcano plot showing differentially expressed genes (DEGs) between responders (n = 86) and non-responders (n = 124) identified across all cells regardless of cell type from scRNA-seq data (|avg log2FC| > 1). Top 10 genes based on log2FC in responders and non-responders are labeled. (D) Reactome pathway analysis of highly expressed genes identified from scRNA-seq data in responders (left) and non-responders (right). scRNA-seq, single cell RNA sequencing; FC, fold change.

Fig 1

doi: https://doi.org/10.1371/journal.pone.0343633.g001