Fig. 1: Proteomic landscape of the soft tissue sarcoma cohort. | Nature Communications

Fig. 1: Proteomic landscape of the soft tissue sarcoma cohort.

From: Proteomic characterization identifies clinically relevant subgroups of soft tissue sarcoma

Fig. 1: Proteomic landscape of the soft tissue sarcoma cohort.

A Schematic representation of the experimental design, including sample collection, sample pre-process, LC-MS/MS analysis, and data analysis. B Pie plots indicated clinical features of the STS cohort, including gender, age, tumor location, KI67 ratio, and STS histological subtypes. C Kaplan-Meier curves for OS (up) and DFS (down) of tumor patients stratified by the 12 histological subtypes (log-rank test). D Heatmap of enriched cancer hallmarks in STS histological subtypes. The significantly up-regulated hallmarks in some sarcoma histological subtypes are marked by black dotted box. E Boxplots indicated protein abundances of known markers of specific STS histological subtypes across 12 histological subtypes in our cohort. The biologically independent samples for each histological subtypes are as follows: AS (n = 17), ES (n = 5), WDLPS (n = 36), MLPS (n = 11), DDLPS (n = 35), MFS (n = 26), otherFS (n = 8), MPNST (n = 6), SS (n = 18), UPS (n = 43), RMS (n = 15), LMS (n = 52). The middle bar represents the median and the box represents the interquartile range. Bars extend to 1.5× the interquartile range. Two-way analysis of variance (ANOVA) was used for statistical test. Source data are provided as Source Data files.

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