Study
Detection of clinically relevant genetic and transcriptomic landscape in DLBCL uniformly treated by R-CHOP
Study ID | Alternative Stable ID | Type |
---|---|---|
EGAS00001002657 | Other |
Study Description
Recent studies using next-generation sequencing strategies have described the landscape of genetic alterations in diffuse large B-cell lymphoma (DLBCL). However, little is known about the clinical relevance of recurrent mutations and copy number alterations and their transcriptional footprints. This study examines the frequency, interaction and clinical impact of recurrent genetic aberrations in DLBCL using high-resolution technologies in a large population-based cohort.
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 |
---|---|---|---|
EGAD00001003783 |
Recent studies using next-generation sequencing strategies have described the landscape of genetic alterations in diffuse large B-cell lymphoma (DLBCL). However, little is known about the clinical relevance of recurrent mutations and copy number alterations and their transcriptional footprints. This study examines the frequency, interaction and clinical impact of recurrent genetic aberrations in DLBCL using high-resolution technologies in a large population-based cohort.
|
Illumina HiSeq 2000,Illumina HiSeq 2500 | 376 |
EGAD00010001980 |
Affymetrix SNP6.0 data for 341 DLBCL patients
|
Affymetrix SNP6.0 | 341 |
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