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Fig. 2 | Breast Cancer Research

Fig. 2

From: Molecular analyses of triple-negative breast cancer in the young and elderly

Fig. 2

Patient age versus BRCA1 deficiency and gene expression subtypes in TNBC. a Cumulative proportion of patients with BRCA1 deficiency (BRCA1 hypermethylation or BRCA1-null tumors) and non-BRCA1-deficient patients versus age at diagnosis. Red triangles indicate age at diagnosis for 50%, 80%, and 90% of BRCA1-deficient patients. b Cumulative proportions of patients in HRDetect groups versus age at diagnosis. c Principal component analysis of gene expression data for 232 SCAN-B cases using 19,102 RefSeq genes and different molecular and clinicopathological factors, including age at diagnosis (years: Age) and stratified age groups (10-year intervals: Age groups). d Cumulative proportions of PAM50 subtypes versus age at diagnosis. e Cumulative proportions of IntClust 10 subtypes versus age at diagnosis. f Cumulative proportions of TNBCtype subtypes versus age at diagnosis. g Heatmap of 1179 genes differentially expressed between six 10-year interval age groups in 232 SCAN-B cases. Hierarchical clustering of cases (columns) and genes (rows) were performed using Pearson correlation as distance metric and ward.D linkage on mean-centered log2 transformed data with an offset of 0.1. The six top clusters were identified and labeled. MKI67: Ki67. Steroid response: Scores according to the steroid response metagene [40]. h From left to right: Estimations of tumor cell content from WGS (ASCAT method), epithelial, stromal, B cell lymphocyte, and endothelial cell proportions from CIBERSORTx versus the hierarchical clusters in g. For age group definitions, “[” equals ≥, “)” equals <, and “]” equals ≤ for the value specified next to it

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