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BCAC TIIC data

TIIC dataset generated by BCAST project in BCAC from tumor cores from 12,285 breast cancer patients. Includes automated scores (multiply imputed) for CD8, CD20, CD163 and FOXP3 in all tissue, stromal and tumour tissue separately. Linked clinical patient data.

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BCAC/BCAST TIIC data access policy

Please contact the DAC directly for access 1. Describe how the Data can be accessed, including the name of the hosting database (The European Genome-phenome Archive at the European Bioinformatics Institute) and its accession number (EGAD50000002125) 2. Acknowledge Bernstein AJ et al: Compartment-specific tumor-infiltrating immune cells and prognosis in breast cancer. Jan 20;29(2):114759. doi: 10.1016/j.isci.2026.114759 and 3. Include the following funding acknowledgment. “BCAC was supported by Cancer Research UK grants. BCAC was funded by Cancer Research UK (C1287/A16563) and PPRPGMNov20\100002, and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES) and by core funding from the NIHR Cambridge Biomedical Research Centre (NIHR203312). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The B-CAST project was supported by the Horizon 2020 Research and Innovation Programs of the European Union B (grant number: 633784) and the NIHR Cambridge Biomedical Research Centre.”

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS50000001477 Metagenomics

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
EGAF50000509352 csv 1.2 MB
EGAF50000509353 csv 9.4 MB
EGAF50000509354 csv 259.6 MB
EGAF50000509355 csv 2.2 kB
EGAF50000509356 csv 1.7 kB
EGAF50000509357 csv 718 Bytes
EGAF50000509358 txt 1.3 kB
7 Files (270.2 MB)