Fig. 1: The mutational landscape of the CALGB 40603 dataset. | npj Breast Cancer

Fig. 1: The mutational landscape of the CALGB 40603 dataset.

From: Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasets

Fig. 1

The columns correspond to individual patients (n = 238) and the rows correspond to mutations of the 14 genes with the highest somatic mutation frequencies and a homologous recombination deficiency (HRD) feature, representing any BRCA1, BRCA2, or PALB2 pathogenic/likely pathogenic germline mutation or oncogenic/likely oncogenic somatic mutation. Color-coded labels correspond to mutation type, with light gray representing wildtype. Patient-level and gene-level mutation frequency distributions are shown at the top and right, respectively. RNA-based (PAM50 subtype) and DNA-based (MYC and CCNE1 amplification) annotations for each patient, including annotations for the HRD gene mutations, are included at the bottom with corresponding legends.

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