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Fig. 5 | Journal of Translational Medicine

Fig. 5

From: Multi-dimensional characterization of cellular states reveals clinically relevant immunological subtypes and therapeutic vulnerabilities in ovarian cancer

Fig. 5

The prognostic landscape of cellular states in OV. (A) Associations between cellular states and survival in the OV discovery cohort. Bar plots depicting the -log10 (p-values). Blue represents protective and red represents the risky cellular states. P-values are calculated using log-rank tests. (B) Kaplan–Meier curves demonstrating overall survival differences for patients with two fibroblasts cellular states. P-value is calculated using log-rank test. (C) Kaplan–Meier curves showing overall survival differences for patients with two fibroblasts cellular states in validation cohort. P-value is calculated using log-rank test. (D) Kaplan–Meier curves depicting overall survival differences for patients with three NK cellular states. P-value is calculated using log-rank test. (E) Kaplan–Meier curves showing overall survival differences for patients with NK cells S01 and other cellular states. P-value is calculated using log-rank test. (F) Dot plots depicting the functional pathways enriched by genes highly expressed in two fibroblasts cellular states. P-values are calculated using permutation tests. (G) Bar plots showing the proportion of different stages in two fibroblasts cellular states of patients. P-values are calculated using two-sided Fisher’s exact tests. (H) Bar plots showing the functional pathways enriched by genes highly expressed in NK cells S01 and other cellular states. Red represents the pathways for NK cells S01 and blue represents the pathways for other states

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