Detection of clinically relevant genetic and transcriptomic landscape in DLBCL uniformly treated by R-CHOP

Study

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.

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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. 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 data for 341 DLBCL patients	Affymetrix SNP6.0	341

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