Fig. 5: Malignant cell states are predictive of patient outcomes. | Nature Communications

Fig. 5: Malignant cell states are predictive of patient outcomes.

From: Single-cell transcriptomics reveals immune suppression and cell states predictive of patient outcomes in rhabdomyosarcoma

Fig. 5: Malignant cell states are predictive of patient outcomes.The alternative text for this image may have been generated using AI.

a Schematic representation of differentiation trajectories in RMS. Created with BioRender. b Heatmap showing the average predicted similarity (probability) between discrete malignant cell states from both RMS molecular subtypes (y-axis) and normal myogenic cell types, as determined by logistic regression analysis. Myogenic differentiation schematic was created with BioRender. c, d Kaplan-Meier plots showing the overall survival probabilities of (c) FN (n = 47) or (d) FP (n = 44) patients divided into high (red strata) or low (blue strata) groups based on their cell state scores (stated in the title of each plot panels). Log-rank test was used to calculate p values between high- and low-scoring groups. Source data are provided as a Source Data file.

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