### General information Author: Lund University Contact e-mail: tommaso.de_marchi@med.lu.se DOI: 10.17044/scilifelab.21908586 License: CC BY 4.0 This readme file was last updated: 2023-01-23 Please cite as: "de Marchi, Tommaso; Pyl, Paul Theodor; Sjöström, Martin; Reinsbach, Susanne E.; DiLorenzo, Sebastian; Nystedt, Björn; et al. (2023): Proteogenomic characterization of primary and locally recurrent breast cancers. SciLifeLab. Collection. https://doi.org/10.17044/scilifelab.c.6387480" ### Dataset description "This is a dataset pertaining the genomic (whole genome sequencing), transcriptomic (RNA sequencing), and proteomic (Data independent acquisition mass spectrometry) analysis of a set of 54 matched primary and locally recurrent breast tumors (n = 27 +27) and of a set of primary breast cancers with no history of recurrence (n = 21)." "We here report clinical metadata, COSMIC mutational signature contribution, copy number, single nucleotide variant, RNA read counts, mass spectrometry-derived protein intensities, and pathway analysis results for the paired primary and locally recurrent samples. The subset of 21 breast tumor with no recurrence history were analyzed by RNA sequencing and mass spectrometry only." Researchers are welcome to use the data contained in the dataset for any projects. Please cite this metadata record upon use or when published. We encourage reuse using the same CC BY 4.0 License.