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  1. Menon BS, Maziah W, Samarendra M, Toha A
    Arch Pediatr Adolesc Med, 2001 Mar;155(3):411-2.
    PMID: 11231812
    Matched MeSH terms: Lymphoma, Large B-Cell, Diffuse/classification
  2. Wong KK, Prepageran N, Peh SC
    Pathology, 2009 Feb;41(2):133-9.
    PMID: 18972319 DOI: 10.1080/00313020802436790
    AIMS: To stratify upper aerodigestive tract (UAT) diffuse large B-cell lymphoma (DLBCL) into prognostic subgroups by immunohistochemical staining (IHC) method, and to evaluate the association rate of UAT DLBCL with Epstein-Barr virus (EBV).

    METHODS: Using a panel of antibodies to CD10, Bcl-6, MUM1 and CD138, consecutive cases of primary UAT DLBCL were stratified into subgroups of germinal centre B-cell-like (GCB) and non-GCB, phenotype profile patterns A, B and C, as proposed by Hans et al. and Chang et al., respectively. EBER in situ hybridisation technique was applied for the detection of EBV in the tumours.

    RESULTS: In this series of 32 cases of UAT DLBCL, 34% (11/32) were GCB, and 66% (21/32) were non-GCB types; 59% (19/32) had combined patterns A and B, and 41% (13/32) had pattern C. Statistical analysis revealed no significant difference in the occurrence of these prognostic subgroups in the UAT when compared with series of de novo DLBCL from all sites. There was also no site difference in phenotype protein expressions, with the exception of MUM1. EBER in situ hybridisation stain demonstrated only one EBV infected case.

    CONCLUSIONS: Prognostic subgroup distribution of UAT DLBCL is similar to de novo DLBCL from all sites, and EBV association is very infrequent.

    Matched MeSH terms: Lymphoma, Large B-Cell, Diffuse/classification*
  3. Phang KC, Akhter A, Tizen NMS, Rahman FA, Zahratul Azma R, Elyamany G, et al.
    J Clin Pathol, 2018 Mar;71(3):215-220.
    PMID: 28775174 DOI: 10.1136/jclinpath-2017-204548
    AIMS: The cell of origin (COO) based molecular characterisation into germinal centre B-cell-like (GCB) and activated B-cell-like (ABC) subtypes are central to the pathogenesis and clinical course in diffuse large B-cell lymphoma (DLBCL). Globally, clinical laboratories employ pragmatic but less than ideal immunohistochemical (IHC) assay for COO classification. Novel RNA-based platforms using routine pathology samples are emerging as new gold standard and offer unique opportunities for assay standardisation for laboratories across the world. We evaluated our IHC protocols against RNA-based technologies to determine concordance; additionally, we gauged the impact of preanalytical variation on the performance of Lymph2Cx assay.

    METHODS: Diagnostic biopsies (n=104) were examined for COO classification, employing automated RNA digital quantification assay (Lymph2Cx). Results were equated against IHC-based COO categorisation. Assay performance was assessed through its impact on overall survival (OS).

    RESULTS: 96 (92%) informative samples were labelled as GCB (38/96; 40%) and non-GCB (58/96; 60%) by IHC evaluation. Lymph2Cx catalogued 36/96 (37%) samples as GCB, 45/96 (47%) as ABC and 15/96 (16%) as unclassified. Lymph2Cx being reference, IHC protocol revealed sensitivity of 81% for ABC and 75% for GCB categorisation and positive predictive value of 81% versus 82%, respectively. Lymph2Cx-based COO classification performed superior to Hans algorithm in predicting OS (log rank test, p=0.017 vs p=0.212).

    CONCLUSIONS: Our report show that current IHC-based protocols for COO classification of DLBCL at UKM Malaysia are in line with previously reported results and marked variation in preanalytical factors do not critically impact Lymph2Cx assay quality.

    Matched MeSH terms: Lymphoma, Large B-Cell, Diffuse/classification*
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