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Fig. 3 | Journal of Translational Medicine

Fig. 3

From: Mesenchymal–epithelial transition in lymph node metastases of oral squamous cell carcinoma is accompanied by ZEB1 expression

Fig. 3

Intra-tumoral heterogeneity of OSCC is driven by EMP. A UMAP based on scRNAseq data of 7263 cancer cells from 16 different patients annotated by patient. B Heatmap for scaled, log-normalized gene expression of tumor cells split by patients and their top 5 DEGs (rows) against all other tumor cells. All patients with less than 100 cells are summarized in the ‘other’ column. DEGs are sorted from highest to lowest log2 foldchange. Row sections are ordered like column sections. C UMAP based on scRNAseq data depicted in A with PCs corrected for patient-specific effects using harmony. Cells are annotated according to their predominant phenotype. D Relative distribution of tumor cell phenotypes (left) and cancer cell abundance (right) across patients. The label on the y-axis shows the sample identification and tumor localization (primary tumor [PT] or lymph node metastasis [MET]). E UMAP based on scRNAseq data of 2948 OSCC cells from patient HN01. Cells were annotated based on SNN clustering and the predominant phenotype. F Triangle heatmap of cosine similarity comparing the intratumoral heterogeneity across all patients. Cosine similarity is calculated between log2 fold changes from patient-specific clusters against all other tumor cells within the respective patient. Left side annotated are patient-specific clusters from patient #1 depicted in Fig. 2A and right side from patient HN01 depicted in E. We included only patients with more than 50 tumor cells

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