Fig. 4: Association of the BCPS with clinico-pathological factors in the TCGA and Park datasets. | npj Precision Oncology

Fig. 4: Association of the BCPS with clinico-pathological factors in the TCGA and Park datasets.

From: Development and validation of a gene expression-based Breast Cancer Purity Score

Fig. 4

a Landscape of association of available molecular and clinico-pathological variables with cellularity in the TCGA (n = 1073) and Park (n = 112) datasets. (* association between purity and continuous variables was assessed by Spearman’s correlation, association with two categorical groups was assessed by Student’s t test, and association with multiple categorical groups was evaluated by one-way ANOVA). b Variance component analysis (VCA) for each dataset computed for samples with no missing information (TCGA, n = 690; Park, n = 72). The analysis estimated the proportion of total variance explained by the provided variables. c Forest plot of Cox regression univariate analysis evaluating cellularity association with overall survival in the TCGA (n = 1082) dataset. Samples were evaluated overall and stratified by subtype (426 Luminal, 162 HER2+, 113 TN). d Cellularity changes in on-treatment biopsy compared to pre-treatment in the Park dataset (T1 = 112, T2 = 86). The impact of the timepoint on tumour purity was evaluated by Student’s t test and VCA.

Back to article page