UROMOL 2020 - SNP data
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.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
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 | Illumina Infinium Human Global Screening Array GSAMD-24v2-0_20024620_a1 BeadChip | 473 | |
EGAD00010002039 | Illumina Infinium OncoArray-500K | 473 |
Publications | Citations |
---|---|
An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer.
Nat Commun 12: 2021 2301 |
125 |