Whole genome mutational analysis for tumor-informed circulating tumor DNA detection in patients with urothelial carcinoma

All inquiries regarding this data set should be directed towards the following contact persons:

Study description

Whole-genome sequencing (WGS) data was generated from tumor DNA (Dataset A) and paired normal DNA from peripheral blood mononuclear cells (Dataset B) from 112 patients with localized muscle-invasive bladder cancer (MIBC). Tumor samples were either acquired as fresh-frozen (n = 31) or formalin-fixed paraffin-embedded (FFPE, n = 81) tissue biopsies. Furthermore, WGS data was generated for plasma-derived cell-free DNA (Dataset C) from 916 serially collected plasma samples from the patients.

Dataset IDSamplesSample TypeTechnologySequencing Platform
AMOB0001_tumor, MOB0002_tumor, MOB0003_tumor, … etc.Tumor DNAIllumina NGSIllumina NovaSeq 6000
BMOB0001_normal, MOB0002_normal, MOB0003_normal, … etc.Normal DNAIllumina NGSIllumina NovaSeq 6000
CMOB0001_1_plasma, MOB0001_2_plasma, MOB0001_3_plasma, MOB0002_1_plasma, MOB0002_2_plasma, … etc.Cell-free DNAIllumina NGSIllumina NovaSeq 6000

Original publication

Nordentoft et al. Whole genome mutational analysis for tumor-informed circulating tumor DNA detection in patients with urothelial carcinoma.

Data access

External researchers (academic or commercial) interested in analysing the dataset will need to contact the Data Access Committee via email to lars@clin.au.dk. The Data Access Committee is formed of Lars Dyrskjøt Andersen and Iver Nordentoft (Department of Clinical Medicine, Aarhus University). Due to Danish Law, for the authors to be allowed to share the data (pseudonymized) it will require prior approval from The Danish National Committee on Health Research Ethics (or similar) for the specific new research goal. The author (based in Denmark) must submit the application for ethical approval, with the external researcher(s) as named collaborator(s). In addition to ethical approval, a Collaboration Agreement and a Data Processing Agreement is required, both of which must be approved by the legal office of the institution of the author (data owner) and the legal office of the institution of the external researcher (data processor).