Search Our Biobank

Cohort Browser

Use the Cohort Browser to explore the availability of biospecimens and associated data within the Breast Cancer Now Biobank. Build custom cohorts by filtering samples according to clinical, specimen, and molecular characteristics, and view dynamic summary plots that provide an instant overview of the available data.

The Cohort Browser currently includes collections from the active BCNB centres in London, Sheffield, and Aberdeen. Researchers can also apply to access samples and data from all active BCNB centres (London, Sheffield, Aberdeen, and Wales), legacy BCNB centres (Leeds, Nottingham, Dundee, and Southampton), and projects that have generated data using BCNB samples.

Once you have identified a cohort of interest, your selected criteria can be transferred directly to an Expression of Interest (EOI) submission.

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Donor Availability
Demographics
Age at Diagnosis
Sex
Ethnicity
Sub-Ethnicity
Survival Status
Family History
Follow-up Years
Diagnosis
Diagnosis
Menopausal Status
Invasive Type
Grade
In-Situ Type
ER Status
PR Status
HER2 Status
Treatment
Therapy Applied
Therapy Not Applied
Variant Specifications
BRCA1 Status
BRCA2 Status
Available Samples
Tissue
Fluid
Cells
Available Data
Molecular Data
Radiology
Digital Images

  • The Digital Imaging Archive is a platform from which you can explore whole slide digital pathology data from patient cohorts whose clinical, tumour or molecular characteristics fulfil your requirements. Find out more

  • The Analytics Hub allows researchers to view, query and analyse data generated using BCNB specimens and data from large-scale publicly available projects. Explore the data available for other patient cohorts on the Analytics Hub

Data Available from BCNB Projects

  • Please select any specific cohorts of donors and link to their associated data below.

    Project Data Type​ Link to Research Catalogue​
    Genomics England Clinical, Genomics ​
    Single-cell Atlas Clinical, Transcriptomics ​
    Characterisation of four subtypes in morphologically peri-tumoural tissues Clinical, Digital Images, Transcriptomics​ ​
    Validation of a prognostic AI model for predicting relapse from histopathology images Clinical, Digital Images​ ​
    Identification of eIF4E and eIF5 as prognostic markers in male breast cancer
    		Clinical​ ​
    Effects of germline BRCA1 or BRCA2 mutations on breast cancer outcomes in young patients
    		Clinical​ ​
    Baseline ultrasound and mammographic features associated with pathological complete response in patients receiving neoadjuvant chemotherapy
    		Clinical​ ​