19 research outputs found

    Immunoglobulin Gene Analysis in Different B cell Lymphomas : With Focus on Cellular Origin and Antigen Selection

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    B cell lymphoma (BCL) comprises a biologically and clinically heterogeneous group of tumors deriving from different stages of B cell development. The immunoglobulin (Ig) variable heavy chain (VH) gene rearrangement is unique for each BCL and can be used to reveal cellular origin, to study signs of antigen selection and to quantify tumor cell load. The normal counterpart of mantle cell lymphoma (MCL) has been postulated to be a naïve B cell and in hairy cell leukemia (HCL) it is considered to be a post-germinal centre B cell. We analyzed the VH gene rearrangements in 110 MCLs and 32 HCLs by PCR amplification and sequencing. Most MCLs (84%) displayed VH genes lacking somatic hypermutation (SHM), thus correlating to a naïve cell origin, whereas a subgroup (16%) showed SHM, implying derivation from a more differentiated B cell. In HCL, a majority of cases (84%) displayed SHM with signs of intraclonal heterogeneity and 16% had unmutated VH genes, thus questioning the cell of origin in HCL. Biased usage of particular VH genes was detected in both HCL (VH3-30) and MCL (VH3-21 and VH4-34), which indicates that antigen selection may be involved in lymphoma development. Furthermore, VH3-21+ MCLs showed a highly restricted Vλ3-19 gene use and they also had a superior outcome compared to other MCLs. Rearrangement analysis of 67 VH3-21+ chronic lymphocytic leukemia (CLL) cases from three different countries verified, regardless of geographical origin, the short and highly homologous complementarity determining region 3s and the strikingly biased usage of the Vλ2-14 gene (75%), as previously reported in CLL. This further supports that antigen selection by a common antigenic epitope may have occurred in VH3-21+ CLLs. In an autologous transplantation study of 30 multiple myeloma patients, we quantified the tumor content in the autografts before and after stem cell selection using clone-specific PCR. We conclude that stem cell selection reduced the number of clonal cells linearly, but purging could not totally eliminate the tumor cells from the graft, thus increasing the risk of a relapse. Altogether, our data allowed us to define new BCL subsets and to gain insights into the potential role of antigen selection in BCL development as well as the monitoring of tumor cell load using Ig gene rearrangements analysis

    Comprehensive characterization of IGHV3-21-expressing B-cell chronic lymphocytic leukemia: an Italian multicenter study

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    IGHV3-21-using chronic lymphocytic leukemia (CLL) is a distinct entity with restricted immunoglobulin gene features and poor prognosis and is more frequently encountered in Northern than Southern Europe. To further investigate this subset and its geographic distribution in the context of a country (Italy) with both continental and Mediterranean areas, 37 IGHV3-21 CLLs were collected out of 1076 cases enrolled by different institutions from Northern or Central Southern Italy. Of the 37 cases, 18 were identified as homologous (hom)HCDR3-IGHV3-21 CLLs and were found almost exclusively (16 of 18) in Northern Italy; in contrast, 19 nonhomHCDR3-IGHV3-21 cases were evenly distributed throughout Italy. Clinically, poor survivals were documented for IGHV3-21 CLLs as well as for subgroups of mutated and homHCDR3-IGHV3-21 CLLs. Negative prognosticators CD38, ZAP-70, CD49d, and CD79b were expressed at higher levels in homHCDR3 than nonhomHCDR3-IGHV3-21 cases. Differential gene expression profiling (GEP) of 13 IGHV3-21 versus 52 non-IGHV3-21 CLLs identified, among 122 best-correlated genes, TGFB2 and VIPR1 as down- and up-regulated in IGHV3-21 CLL cases, respectively. Moreover, GEP of 7 homHCDR3 versus 6 nonhomHCDR3-IGHV3-21 CLLs yielded 20 differentially expressed genes, with WNT-16 being that expressed at the highest levels in homHCDR3-IGHV3-21 CLLs. Altogether, IGHV3-21 CLLs, including those with homHCDR3, had a peculiar global phenotype in part explaining their worse clinical outcome
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