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 |
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