ALBERT

Description: In the present study, Epstein-Barr virus (EBV) isolates from 18 malignant tumors (angioimmunoblastic lymphadenopathy [AILD], n = 4; Hodgkin's disease [HD], n = 3; pleomorphic T-cell non-Hodgkin's lymphoma [T-NHL], n = 1; B-cell non-Hodgkin's lymphoma [B-NHL], n = 8; gastric carcinoma, n = 2) as well as from 10 tonsils of EBV- seropositive children and from peripheral blood mononuclear cells of 12 children with uncomplicated infectious mononucleosis (IM) and of a boy with severe chronic active EBV infection were genotyped in the EBV nuclear antigen-2 (EBNA-2) gene. A total of 40 of 41 isolates harbored EBV type 1; in 1 specimen (tonsil), only EBV type 2 was found. Further molecular characterization of EBV type-1 wild-type isolates in the EBNA- 2 gene and in the 40-kb distant EBV-encoded small RNAs (EBER) region showed that different groups of stable EBV type-1 variant strains exist in vivo both in benign and malignant lymphatic tissue. Group 1 is composed of EBV type-1 isolates (B-NHL, n = 3; T-NHL, n = 1; HD, n = 1; IM, n = 4) that showed a B95–8-like DNA sequence pattern in both viral genes. Group 2 isolates (HD, n = 1; AILD, n = B-NHL, n = 1; tonsils of EBV-seropositive children, n = 9; IM, n = 20 showed a nucleotide change at position 49095 in the EBNA-2 gene, leading to an amino acid substitution (Pro--〉Ser), and EBV type-2 sequences in the EBER region. EBV type-1 isolates that fall into group 3 (AILD, n = 3; HD, n = 1; B- NHL, n = 4; gastric carcinoma, n = 2; IM, n = 6; severe chronic active EBV infection, n = 1) were characterized by typical nucleotide changes and a 3-bp insertion (CTC; extra Leu residue) in the EBNA-2 gene and an EBV type-2-specific sequence pattern in the EBER region. These EBV type- 1 variant strains may represent the most prevalent circulating EBV type- 1 strains in the exposed population and seem not to be restricted to a certain EBV-associated disease or tumor type. However, analysis of more EBV isolates from benign and malignant lesions must show whether more EBV type-1 substrains exist in vivo.

Description: Clinical management differs significantly for the various types of non-Hodgkin lymphoma (NHL), and the diagnosis of these lymphomas can be challenging in some cases. Further, existing NHL categories include subgroups that can differ substantially in gene expression, response to therapy and overall survival. We have created a custom oligonucleotide microarray, named LymphDx, which could prove clinically useful for molecular diagnosis and outcome prediction in NHL. Biopsy specimens were obtained from 559 patients with a variety of lymphomas and lymphoproliferative conditions. Gene expression profiles of these samples were obtained using Affymetrix U133 A and B microarrays. The 2653 genes on LymphDx were chosen to include:(1)Genes most differentially expressed among NHL types based on Affymetrix U133 or Lymphochip microarrays (2)Genes predicting length of survival in diffuse large B cell lymphoma(DLBCL), follicular lymphoma(FL) and mantle cell lymphoma(MCL) (3)Genes encoded in the EBV and HHV-8 viral genomes (4)Genes encoding all known surface markers, kinases, cytokines and their receptors, as well as oncogenes, tumor suppressors, and other genes relevant to lymphoma. The LymphDx microarray was used to profile gene expression in 434 biopsy samples. These data were used to create a diagnostic algorithm that can distinguish various NHL types and benign follicular hyperplasia(FH) based on gene expression. The algorithm classifies a sample into one of the following categories: Burkitt’s lymphoma(BL), DLBCL, FL, MCL, small lymphocytic lymphoma(SLL) or FH. The algorithm further distinguishes the 3 recognized DLBCL subgroups: germinal center B cell-like, activated B cell-like or primary mediastinal lymphoma. Using a leave one out, cross validation strategy, the algorithm was found to agree well with the pathology diagnosis (see Figure). Some samples were deemed unclassified when their gene expression did not adequately match with that of any of the NHL categories. For a few samples, the gene expression-based diagnosis and the pathology diagnosis were discordant. Pathology review showed that two NHL types coexisted (eg FL and DLBCL) in many of these cases, potentially explaining the results of the diagnostic algorithm. LymphDx could also reliably predict the overall survival of patients with DLBCL, FL and MCL. Prospective evaluation of the LymphDx microarray is warranted since it could be used to provide objective molecular diagnostic, and prognostic information for patients with NHL. Figure Figure

Description: Gene expression profiling of diffuse large B-cell lymphoma (DLBCL) has revealed biologically and prognostically distinct subgroups: germinal center B-cell-like (GCB), activated B cell-like (ABC), and primary mediastinal (PM) DLBCL. The BCL6 gene on chromosome 3q27 is a transcriptional repressor and is required for GC formation and function. Two molecular alterations involving the BCL6 gene are commonly observed in DLBCL: chromosomal translocations and mutations in the 5′ non-coding region. The functional consequences of BCL6 translocation and mutation have not been studied in the context of DLBCL subgroups. Therefore, we examined the frequency of translocations and the spectrum of BCL6 mutations in exon 1 and intron 1 in different DLBCL subgroups. We correlated these findings with BCL6 mRNA and protein expression, as well as the expression of BCL6 target genes. Fluorescence in situ hybridization (FISH) using a break-apart probe detected BCL6 translocations in 24 of 112 (21%) DLBCL cases. Surprisingly, the frequency of BCL6 translocation was higher in the ABC subgroup than the GCB subgroup (10 of 40; 25% vs 5 of 44; 11%, respectively) and the PM subgroup had the highest incidence (4 of 8; 50%). Expression of BCL6 protein was detected by immunohistochemistry in 75 of 138 cases (54%), including 15 of 44 (34%) in the ABC subgroup, 46 of 57 (80%) in the GCB subgroup and 4 of 10 (40%) in the PM subgroup. A good correlation of protein and mRNA expression, as assessed by cDNA microarrays (NEJM346:1937–47; 2002) was observed in the GCB subgroup but not in the other subgroups. BCL6 mutations were detected in 71 of 128 cases (55%) of DLBCL with a higher frequency in the GCB subgroup (34 of 50; 68%) and PM subgroup (10 of 12; 90%) than the ABC subgroup (14 of 43; 32%). Interestingly, there was a distinctive pattern of distribution of BCL6 mutations in the DLBCL subgroups. For example, 11 of 100 (11%) of the mutations targeted exon 1 and 8 of these 11 mutants were observed in the GCB subgroup. They preferentially affected the BCL6, STAT1 or predicted CEBP binding sites. High BCL6 mRNA and protein expression was generally associated with mutants affecting the 3′ BCL6 binding sites. We also examined the expression of 25 known BCL6 target genes in the different subgroups of DLBCL and observed the repression of this set of genes mainly in the GCB but not in the ABC subgroup, and the presence of a translocation did not correlate with target gene suppression. In conclusion, the frequency of BCL6 translocation and mutation is distinctly different in the DLBCL subgroups and BCL6 expression has different regulatory influences on target genes in different subgroups of DLBCL. Exon 1 mutations preferentially occur in the GCB subgroup and affect transcription factor binding sites. However, BCL6 translocations did not show good correlation with BCL6 expression or functional repression of target genes. The influence of the reciprocal partner genes in the translocations on the pathogenesis of DLBCL warrants further investigation.

Description: Background Burkitt lymphoma(BL) is a potentially curable, aggressive lymphoma. The distinction between BL and diffuse large B-cell lymphoma (DLBCL) is important because they differ significantly in clinical management. The distinction can be difficult because DLBCL can resemble BL in morphology, immunophenotype and cytogenetics. We investigated whether gene expression profiling (GEP) could create a molecular definition of BL that can reliably distinguish it from DLBCL. Methods Biopsy samples were collected from 312 patients with a diagnosis of sporadic BL or Burkitt-like lymphoma, or DLBCL. All cases were reviewed by a panel of expert hematopathologists. GEP of all the samples was carried out using a specialized oligonucleotide microarray. We constructed a predictor using 197 genes to distinguish BL from each molecular subtype of DLBCL. Leave-one-out cross-validation was used to evaluate the predictor’s performance. Chemotherapy treatments were grouped into either CHOP-like(CHOP, CNOP) or intensive(BFM, CODOX-M IVAC, regimens requiring stem cell rescue). Results After pathology review, the samples were reclassified as:classic BL(25 cases), atypical BL(19), DLBCL(261), and unclassifiable lymphoma(7). All classic BL and 18/19 cases of atypical BL shared a profile that was strikingly different from that of all the molecular subtypes of DLBCL, including those DLBCL cases that have a c-myc translocation. C-myc and its target genes, and genes related to germinal center differentiation were expressed at high levels in BL. NF-kB and its target genes and MHC class-I genes were expressed at very low levels in BL. Interestingly, 10 cases that were DLBCL by pathology were classified as BL by the predictor. The diagnosis of BL was supported by FISH analysis indicating a c-myc translocation. Among adults identified as having BL by the predictor (with full clinical data in N=15), overall survival was markedly superior for those receiving intensive regimens compared to CHOP-like regimens(Fig 1). The groups were similar with regard to age, stage, performance status and sites of involvement. Conclusion This study demonstrates that the molecular characteristics of BL can be used to accurately distinguish it from DLBCL. Importantly, a subgroup of BL was identified by the predictor that could not be diagnosed as BL by conventional criteria. The ability of the predictor to identify patients who benefit from aggressive therapies suggests that it will be useful in the diagnosis and management of patients with Burkitt lymphoma. Figure Figure