2017
DOI: 10.1111/bjh.14812
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Cell‐of‐origin classification by gene expression and MYC‐rearrangements in diffuse large B‐cell lymphoma of children and adolescents

Abstract: SummaryWe present the largest series of diffuse large B-cell lymphoma (DLBCL) in patients younger than 18 years analysed to date by gene expression profiling using Nanostring technology to identify molecular subtypes and fluorescent in situ hybridization for translocations of MYC. We show that the activated B cell-like subtype of DLBCL is exceedingly rare in children and -in contrast to adults-not associated with outcome. Furthermore, we review the current literature and demonstrate that MYC translocations are… Show more

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Cited by 24 publications
(17 citation statements)
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“…Two patients in the BL/DLBCL/HGBCL cohort overlapped with our recent publication on the mutational landscape of mnBLL,11q, 6 and one patient in the FL/DLBCL cohort overlapped with our previous publication on paediatric DLBCL 7 . The two cohorts do not otherwise overlap with our previous publications on the initial description of LBCL‐ IRF4 and mnBLL,11q 2,3 …”
Section: Methodsmentioning
confidence: 54%
“…Two patients in the BL/DLBCL/HGBCL cohort overlapped with our recent publication on the mutational landscape of mnBLL,11q, 6 and one patient in the FL/DLBCL cohort overlapped with our previous publication on paediatric DLBCL 7 . The two cohorts do not otherwise overlap with our previous publications on the initial description of LBCL‐ IRF4 and mnBLL,11q 2,3 …”
Section: Methodsmentioning
confidence: 54%
“…The training cohort comprised 42 FFPE tissue sections, that represented 18 ABC, 4 unclassified, and 20 GBC DLBCL cases based on COO subtyping by the Affymetrix GeneChip technology (gold standard of classification) 20 . For the two validation cohorts, which comprised 42 and 31 DLBCL cases, respectively, COO classification had been accomplished by NanoString nCounter gene-expression profiling using the most recent version of the Regensburg classifier 7 , with feature weights and thresholds given in Szczepanowski et al 21 . The second validation cohort (n = 31) included only DLBCL cases aged >75 years at the time of diagnosis.…”
Section: Specimens and Methodsmentioning
confidence: 99%
“…For classification of DLBCLs into their COO subtypes, we trained a penalized linear regression model on the 780 protein groups of the training set that had been also successfully quantitated in the first validation set. For this purpose, we performed zero-sum elastic net regression 18,19 , with GCB scores provided by the MMML consortium 21 , as the continuous response variable and protein intensities as predictor variables. Since zero-sum regression does not require any prior normalization steps, we used the raw, log 2 -transformed protein group intensities as predictor variables.…”
Section: Proteome Analysis By Microlc-ms/ms On An Ab Sciex Tripletof mentioning
confidence: 99%
“…the Lymph2Cx assay from NanoString Technologies, Seattle, WA, USA) can identify DLBCL molecular subtypes [30]. Moreover, those methods are characterised by high compliance level with GEP microarrays and satisfactory reproducibility between laboratories [30,31,32]. Possibly, tests based on GEP will be a more precise diagnostic method than currently approved by the WHO IHC methods in future [1,20].…”
Section: Fig 1 Ebv Detection: A) Immunohistochemical Staining With mentioning
confidence: 99%