Study

UROMOL 2020 - SNP data

Study ID Alternative Stable ID Type
EGAS00001004862 Other

Study Description

The molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we performed a large integrative multi-omics analysis of patients diagnosed with NMIBC (n=834). Transcriptomic analysis identifies four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provide independent prognostic value beyond established prognostic clinicopathological parameters.

Study Datasets 2 datasets.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00010002038
SNP data for 473 tumor samples
Illumina Infinium Human Global Screening Array GSAMD-24v2-0_20024620_a1 BeadChip 473
EGAD00010002039
SNP data for 473 germline samples
Illumina Infinium OncoArray-500K 473

Who archives the data?

There are no publications available