Literature DB >> 24832791

Amplification of 2p as a genomic marker for transformation in lymphoma.

Anna Kwiecinska1, Koichi Ichimura, Mattias Berglund, Andrii Dinets, Luqman Sulaiman, V Peter Collins, Catharina Larsson, Anna Porwit, Svetlana Bajalica Lagercrantz.   

Abstract

To outline further genetic mechanisms of transformation from follicular lymphoma (FL) to diffuse large B-cell lymphoma (DLBCL), we have performed whole genome array-CGH in 81 tumors from 60 patients [29 de novo DLBCL (dnDLBCL), 31 transformed DLBCL (tDLBCL), and 21 antecedent FL]. In 15 patients, paired tumor samples (primary FL and a subsequent tDLBCL) were available, among which three possessed more than two subsequent tumors, allowing us to follow specific genetic alterations acquired before, during, and after the transformation. Gain of 2p15-16.1 encompassing, among others, the REL, BCL11A, USP34, COMMD1, and OTX1 genes was found to be more common in the tDLBCL compared with dnDLBCL (P < 0.001). Furthermore, a high-level amplification of 2p15-16.1 was also detected in the FL stage prior to transformation, indicating its importance during the transformation event. Quantitative real-time PCR showed a higher level of amplification of REL, USP34, and COMMD1 (all involved in the NFκΒ-pathway) compared with BCL11A, which indicates that the altered genes disrupting the NFκΒ pathway may be the driver genes of transformation rather than the previously suggested BCL11A. Moreover, a 17q21.33 amplification was exclusively found in tDLBCL, never in FL (P < 0.04) or dnDLBCL, indicating an upregulation of genes of importance during the later phase of transformation. Taken together, our study demonstrates potential genomic markers for disease progression to clinically more aggressive forms. We also confirm the importance of the TP53-, CDKN2A-, and NFκΒ-pathways for the transformation from FL to DLBCL.
© 2014 Wiley Periodicals, Inc.

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Year:  2014        PMID: 24832791      PMCID: PMC4369132          DOI: 10.1002/gcc.22184

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


Introduction

Follicular lymphoma (FL) is one of the most common types of indolent B-cell lymphoma in Western countries and accounts for approximately 25% of all non-Hodgkin lymphomas (Conconi et al., 2012). Despite a usually indolent clinical course with a long estimated survival of more than 10 years, FL is mainly incurable (Fisher et al., 2005). FL commonly transforms to the more aggressive diffuse large B-cell lymphoma (DLBCL) at reported frequencies between 15% and 60% of the included cases in various studies (Conconi et al., 2012). Even though a transformation is mainly seen from FL to DLBCL, transformation from other types of low malignant lymphomas to various types of biologically aggressive lymphoma has been reported (Montoto and Fitzgibbon, 2011). Transformation from FL to DLBCL (tDLBCL) is often accompanied by treatment resistance and poor survival. Although the treatment results of FL and de novo DLBCL (dnDLBCL), as well as tDLBCL, have improved over the years, the histological transformation from FL to tDLBCL remains a critical event in the FL progression. Insights into the evolution of the tumor cells (i.e., chromosomal aberrations, mutations, etc.) are highly warranted for early recognition of disease progression to clinically more aggressive forms. Previous studies have shown that chromosomal aberrations are associated with histological transformation from FL to tDLBCL, such as loss of 1p36, 6q, and 17p and gains on 2p, 7, 12q13–14, and X (Martinez-Climent et al., 2003; Berglund et al., 2007; Lossos and Gascoyne, 2011). Genes such as TP53, TP73, MDM2, and MYC as well as REL (at 2p16) are often mentioned as possibly involved in the transformation pathogenesis. There are previous reports on 2p15–16 gain detected by genome-wide array-comparative genomic hybridization (CGH) in DLBCL (Martinez-Climent et al., 2003; Tagawa et al., 2005; Nanjangud et al., 2007). Amplification of 2p encompassing the REL gene has been detected in FL using quantitative real-time polymerase chain reaction (qPCR) and CGH (Goff et al., 2000). Earlier reports on the molecular mechanism of transformation give little insight whether the transformation could be predicted by genetic alterations in the FL already at diagnosis or if the alterations occur in a minor subpopulation that is undetectable using current methodology. In this study, we attempted to elucidate the molecular mechanism behind the transformation from FL to the more aggressive tDLBCL. We have also included samples from patients with dnDLBCL to better pinpoint tDLBCL-specific features. We have analyzed patients with paired tumor samples with biopsies from both the FL stage of disease and the tDLBCL counterpart as well as nonpaired samples of tDLBCL. In three patients, we were able to study more than two subsequent tumors allowing us to follow the progression of specific genetic alterations acquired during the transformation process.

Materials and Methods

Patients and Clinical Samples

The 81 tumor samples studied comprised 21 FL, 31 tDLBCL, and 29 dnDLBCL [10 showing germinal center (GC) and 19 of non-GC related immunophenotype, Hans et al. (2004)] collected from a total of 60 patients. Paired tumor samples, with both the FL as well as tDLBCL counterpart, were available from 15 patients (cases 44–51, 53, and 55–60). The tumors termed “FL prior to transformation” refer to the FL-tumors collected closest in time prior to the DLBCL-transformation (in cases 59 and 60 with more than two subsequent tumors of the FL counterpart). Clinical details are presented in Table1. DNA was isolated from frozen tumor samples and the patients were identified from medical files of the Departments of Pathology-Cytology at the Karolinska University Hospital, Solna, and Uppsala Academic Hospital, Sweden. Diagnostic material including immunohistochemical stains was reviewed according to the WHO 2008 classification (Campo et al., 2011), the tumors were not retrospectively analyzed regarding the presence of t(14;18)(q32;q21). The study of the clinical samples was approved by the Ethical Committee of the Karolinska University Hospital (No. 01–004) and Uppsala Academic Hospital (No. 2008/246).
Table 1

Clinical Characteristics of the Included Patients

Tumor noCase noYearAge at diagnSexDiagnosisInstituteTransformed/De novoGC/non-GCStageFollow-up time (Mo)OutcomeTreatment
11200786MDLBCLKarolinskaTransformedGCII A40DnLR-CHOP, MIME
22200751FDLBCLKarolinskaDe novoNon-GCIIIB76relaps x 2, CCRR-CHOP, SCT, DHAP
33200735MDLBCLKarolinskaDe novoGCII A76CCRR-CHOP
44200746MDLBCLKarolinskaDe novoGCIII B1DoLR-MIME
55200761MDLBCLKarolinskaDe novoNon-GCIII B18relaps, DoLR-CHOP, MIME SCT
66200629FDLBCLKarolinskaTransformedGCIV A83CCRR-CHOP, HDT, SCT
77200677FDLBCLKarolinskaDe novoNon-GCIV A84CCRR-CHOP, RT
88200668MDLBCLKarolinskaDe novoNon-GCIIA84CCRna
9920065MDLBCLKarolinskaRelapsGCIII1DoLNHL BFM-90
1010200591FDLBCLKarolinskaDe novoGCIA70DnLWW, surgery
1111200554MDLBCLKarolinskaDe novoNon-GCIA91CCRR-CHOP
1212200534MDLBCLKarolinskaTransformedGCIIIA97CCRR-CHOP
1313200568MDLBCLKarolinskaDe novoNon-GCIIA12DoLR-CHOP, CHVP
1414200574FDLBCLKarolinskaDe novoNon-GCIIA80DnLR-CHOP
1515200587FDLBCLKarolinskaDe novoNon-GCIV1DoLna
1616200570FDLBCLKarolinskaTransformedGCIV14DoLR-CHOP, DHAP, MIME, Fludara, Cytosar
1717200463MDLBCLKarolinskaTransformedGCIIA102CCRR-CHOP
1818200462FDLBCLKarolinskaDe novoGCIIA4DnLR-CHOP
1919200451MDLBCLKarolinskaDe novoNon-GCIVA108relaps, CCRR-CHOP, MIME, HDT, SCT
2020200456MDLBCLKarolinskaDe novoNon-GCIIIA110CCRR-CHOP, Cytosar
2121200474FDLBCLKarolinskaTransformedGCIIIA26relaps, DoLR-CHOP, MIME
2222200463MDLBCLKarolinskaTransformedGCIV104relaps, DoLR-CHOP
2323200363FDLBCLKarolinskaTransformedGCIA120CCRR-CHOP
2424200259MDLBCLKarolinskaDe novonaIA60CNS relaps, DoLR-CHOP, RT
2525200263MDLBCLKarolinskaTransformedGCIV15cutan relaps, DNLR-CHOP
2626200271FDLBCLKarolinskaDe novoNon-GCIIA20DoLR-CHOP
2727200263MDLBCLKarolinskaDe novoNon-GCIIB113relaps, AML/MDS - DnLR-CHOP, RT, R-MIME, SCT,
2828200248MDLBCLKarolinskaDe novoNon-GCIIIB133CCRR-CHOP
2929200249MDLBCLKarolinskaTransformedGCIA20DoLR-CHOP
3030200283FDLBCLKarolinskaDe novoNon-GCIIA5DoLR-CHOP
3131200167FDLBCLKarolinskaTransformedGCIIA38DoLR-CHOP, R-MIME, RT
3232200113FDLBCLKarolinskaDe novoNon-GCIIA139CCRNHL BF M 90
3333200132MDLBCLKarolinskaDe novoNon-GCIA140CCRR-CHOP, RT
3434200183MDLBCLKarolinskaDe novoNon-GCIA55DnLR-CHOP, splenectomy
3535200162MDLBCLKarolinskaTransformedGCIVA143Relaps, CCRR-CHOP, R-MIME, RT
3636200160FDLBCLKarolinskaDe novoGCIVA144CCRR-CHOP
3737200156FDLBCLKarolinskaDe novoGCIA150relaps, CCRR-CHOP, DHAP, SCT
3838200077FDLBCLKarolinskaDe novoNon-GCIIA37relaps,DoLR-CHOP, MIME, RT, Gemzar
3939200081MDLBCLKarolinskaDe novoGCna1DoLno treatment
4040199977FDLBCLKarolinskaDe novoNon-GCIV24DoLR-CHOP
4141199955MDLBCLKarolinskaTransformedNon GCIV53DoLR-CHOP
4242200463FDLBCLKarolinskaDe novoGCII108CCRR-CHOP
4343:2200766MDLBCLKarolinskaTransformedGCIVB71CCRR-MIME, SCT
4444:1200131MDLBCLKarolinskaTransformedGCIV150CCRR-CHOP, MIME, Cytosar, autoSCT
4544:2200333MFL IIIKarolinskananaIIIA0CCRMIME, alloSCT
4645:1200149MFL IKarolinskananaIV32transformed to DLBCLsplenectomy
4745:2200452MDLBCLKarolinskaTransformedGCIV70DoLR-CHOP, autoSCT, BEAM, DHAP, Gemzar
4846:1na37MFL n.a.Uppsalanananananana
4946:2nanaMDLBCLUppsalaTransformedGCnananana
5047:1na61MFL IIUppsalanananananana
5147:2nanaMDLBCLUppsalaTransformedGCnananana
5248:1na33FFL IUppsalanananananana
5348:2199233FDLBCLUppsalaTransformedGCIIIA120CCRCHOP, ABMT
5449:1198871MFL IIUppsalananana90transformed to DLBCLWW, chlorambucil
5549:2199578MDLBCLUppsalaTransformedGCIVB7DoLCHOP
5650:1199469FFL IUppsalananana12nana
5750:2199570FDLBCLUppsalaTransformedGCIVAnanana
5851:1198548FFL IUppsalananana60transformed to DLBCLna
5951:2199053FDLBCLUppsalatransformedGCIVB21DoLCHOP
6052:1197025FFL IUppsalananana247transformed to DLBCLRT, Chlorambucil
6153:1199150FFL IUppsalananana48transformed to DLBCLChlorambucil, CHOP
6253:2199554FDLBCLUppsalaTransformedGCIVB38DoLMIME
6354:2199457MDLBCLUppsalaTransformedGCIVB116CCRCT, ABMT
6455.1199760MFL IUppsalananana14transformed to DLBCLChlorambucil
6555:2199962MDLBCLUppsalaTransformedGCIIB38CCRCHOP
6656:1198471FFL IUppsalananana9transformed to DLBCLRT
6756:2198572FDLBCLUppsalaTransformedGCIIIB4DoLCOP
6857:1na60FFL IUppsalananana3transformed to DLBCLsplenectomy
6957:2nanaFDLBCLUppsalaTransformedGCIVA132DoLCHOP
7058:1199251FFL IUppsalananana58transformed to DLBCLCHOP, chlorambucil
7158:2199756FDLBCLUppsalaTransformedGCIIIAnaprogressionCT
7258:3nanaFDLBCLUppsalaTransformedGCna61DoLCT
7359:1199239FFL IUppsalananana96progressionWW, chlorambucil, CHOP
7459:2nanaFFL IUppsalananananaprogressionWW, chlorambucil, CHOP
7559:3nanaFFL IIUppsalananananatransformed to DLBCLWW, chlorambucil, CHOP
7659:4200047FDLBCLUppsalaTransformedGCIIB40DoLMIME
7760:1198739FFL IIUppsalananana148progressionWW, chlorambucil
7860:2nanaFFL IIUppsalananananaprogressionWW, chlorambucil
7960:3nanaFFL IIUppsalananananaprogressionWW, chlorambucil
8060:4nanaFFL IUppsalananananatransformed to DLBCLWW, chlorambucil
8160:5199951FDLBCLUppsalaTransformedGCIVA48DoLCT

Mo, months; M, male; F, female; na, not available; DnL, death not related to lymphoma; CCR, continous complete remission; DoL, dead of lymphoma; R, retuximab; CHOP, cyclophosphamide, vincristine, adriamycin, and prednisone; MIME, methyl-gag, iphosphamide, methotrexate, and epiposid; SCT, stem cell transplantation; DHAP, dexamethasone, ara-C, platinum; RT, radio therapy; NHL BFM-90, Berlin Frankfurt Munster protocol; WW, wait and watch; BEAM, carmustine, etoposide, cytarabine, melphalan; ABMT, high dose therapy with autologous stem cell rescue; COP, cyclophosphamide, vincristine, and prednisone; CT, different combination of chemotherapy.

Clinical Characteristics of the Included Patients Mo, months; M, male; F, female; na, not available; DnL, death not related to lymphoma; CCR, continous complete remission; DoL, dead of lymphoma; R, retuximab; CHOP, cyclophosphamide, vincristine, adriamycin, and prednisone; MIME, methyl-gag, iphosphamide, methotrexate, and epiposid; SCT, stem cell transplantation; DHAP, dexamethasone, ara-C, platinum; RT, radio therapy; NHL BFM-90, Berlin Frankfurt Munster protocol; WW, wait and watch; BEAM, carmustine, etoposide, cytarabine, melphalan; ABMT, high dose therapy with autologous stem cell rescue; COP, cyclophosphamide, vincristine, and prednisone; CT, different combination of chemotherapy. The tumors from the Karolinska University Hospital (cases 1–45) are presented for the first time whereas the tumors from Uppsala (cases 46–60) were previously reported in a series of cases investigated by conventional CGH (Berglund et al., 2007). DNA was prepared from fresh frozen tumor samples using the QIAamp DNA Mini Kit (Qiagen, Valencia, CA) or a method based on Proteinase K digestion and phenolchloroform extraction.

Construction of Genomic 1 Mb Array

The 1-Mb array clone set was obtained from the Welcome Trust Sanger Institute, Hinxton, UK (Fiegler et al., 2003). Coordinates for the clones have been obtained from the Ensembl Genome Browser (http://www.ensembl.org/Homo_sapiens, release 27.35a. 1, NCBI 35 assembly, December 14, 2004). Clones which are mapped to more than one chromosome or which repeatedly showed inconsistent copy number in array-CGH analysis were excluded. As a result, a total of 3,038 clones (2555 BACs, 477 PACs, and six cosmids) were included in the analysis, giving an average distance between the clone midpoints of 0.97 Mb. Construction of the microarray was performed essentially according to the published protocol with minor modifications (Fiegler et al., 2003). Briefly, clone DNA was extracted using a modified alkali lysis method (microprepping) and individually amplified using three different degenerate oligonucleotide (DOP)-PCR primers. The three DOP-PCR products for each clone were then mixed and amplified using a 5′-amine-modified universal primer (amino-PCR). The amino-PCR products were printed in duplicate onto CodeLink slides (Amersham Biosciences, Little Chalfont, UK) using a MicroGrid II robot (Genomic Solutions, Huntingdon, UK) in 4 × 6 subarrays. Further details of the microarray construction have been published elsewhere (McCabe et al., 2006).

Labeling and Hybridization of Array-CGH

Labeling and hybridization were performed essentially as previously described (Seng et al., 2005). Briefly, each microarray was prehybridized with 80 μg of Cot1 DNA (Roche Diagnostics, Mannheim, Germany) and 400 μg of herring sperm DNA (Sigma–Aldrich, St. Louis, MO) for 2 h in hybridization buffer [50% formamide, 10% dextran sulfate, 0.1% Tween 20, 2× saline-sodium citrate (SSC), 10 mM Tris (pH 7.4)]. Four-hundred nanograms of tumor and reference genomic DNA were labeled with Cy5-dCTP or Cy3-dCTP (Amersham Biosciences, Little Chalfont, UK), respectively, using a BioPrime Kit (Invitrogen, Palsely, UK) with custom-made dNTP mix (dCTP 1 mM, dATP 2 mM, dGTP 2 mM, and dTTP 2 mM). A mixture of normal blood DNA from either 20 males or 20 females was used as a sex-mismatched reference. The labeled and purified DNA from test and reference were mixed and coprecipitated with 45 μg of Cotl DNA and 200 μg of Herring sperm DNA. The precipitated DNA was dissolved in hybridization buffer, incubated at 37°C for 2 h and applied to the prehybridized microarrays. Hybridization was performed in a humidified Micro Array Hybridization Chamber (Camlab, Cambridge, UK) at 37°C for 24 h. The arrays were then washed successively in 1× Phosphate buffered saline (PBS)/0.05% Tween 20 at room temperature for 15 min twice, 50% formamide/2× SSC at 42°C for 30 min once, and 1× PBS/0.05% Tween 20 at room temperature for 15 min. Finally, the arrays were briefly rinsed in 1× PBS and dried by centrifugation. The arrays were scanned using a GenePix 4100A personal scanner (Axon Instruments, Union City, CA) and the images quantified using a GenePix Pro 5.1 (Axon Instruments) as previously described (Seng et al., 2005).

Array-CGH Data Analysis

The results were analyzed using Microsoft Excel, as described elsewhere (McCabe et al., 2006). Briefly, after exclusion of spots with weak Cy3 (reference) signals (less than four times the average intensity of six Drosophila BAC spots), the median of test/reference signal intensity ratio in each subarray was calculated and used as a normalization value. The test/reference ratio of each clone was then divided by the normalization value in each subarray, and an average of the normalized ratio between the duplicates was calculated. Spots were excluded when the duplicates differed by more than 10% from their average. The log2 values of normalized test/reference ratio were plotted on abscissa against clone positions on the ordinate. The ability of 1 Mb array used in this study to discriminate single copy number changes has been validated and the thresholds for copy number changes determined (McCabe et al., 2006). Briefly, the threshold for single copy loss or gain was defined as being greater than three standard deviations from the average test/reference ratio of autosomal clones in a series of normal male/female hybridizations, which is equivalent to a log2 ratio of greater magnitude than −0.21 for loss and greater than +0.18 for gain. Homozygous deletions were defined as log2 ratio of −1.0 or below. The threshold for high-level amplification was set to the log2 value of +1.80 or greater (equivalent to a copy number gain of five or more). The raw data files of the array-CGH including relevant clinical and histopathological data have been submitted to gene expression omnibus archives http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56884. A copy number change was considered significant when a minimum of two adjacent clones were altered. In some cases, although the copy number deviation did not reach the threshold, the same extent of deviation from the baseline was observed for many consecutive clones. These cases were judged as having losses or gains affecting a subpopulation of tumor cells resulting in the intermediate value. Chromosomes X and Y were excluded from the analysis as hybridizations were sex-mismatched for the purpose of hybridization quality control. Reproducibility of the results was confirmed by repeating the experiments in selected cases (not shown). Normalization was done against the 10 Mb panel of clones in each subarray.

Quantification of Copy Number by qPCR

Certain recurrent chromosomal alterations detected by array-CGH were selected for further validation using the TaqMan CopyNumber Assay following the manufacturer's protocol (Applied Biosystems). Assays were selected for two recurrently altered regions, that is, gains on 2p15–16.3 encompassing the BCL11A, REL, PEX13, USP34, XPO1, COMMD1, and OTX1 genes and 19q13.2 covering the MAP4K1 gene (not shown). The target assays for BCL11 (Hs02846256_cn), REL (Hs01779268_cn), PEX13 (Hs04585064_cn), USP34 (Hs00679286_cn), XPO1 (Hs03394660_cn), COMMD1 (Hs02311388_cn), OTX1 (Hs01242264_cn), and MAP4K1 (Hs00189955_cn) were labeled with 6-carboxyfluorescein (FAM) dye whereas the reference gene RNase P (cat. no. 4403328) was labeled with VIC. The reactions were set up and run on a 96-well plate using a real-time PCR machine (StepOne plus, Applied Biosystems) and a standard amplification method with the following cycling conditions: 95°C for 10 min, followed by 40 cycles of 95°C for 15 sec, and 60°C for 1 min. To enable normalization of the input target DNA added to each well, the internal control RNase P gene was amplified in parallel in the same well along with the target gene and under identical thermal cycling conditions. Each reaction was run in triplicate, and each experiment was repeated twice. Amplification data for determination of copy numbers were analyzed using the Sequence Detection Software SDS 2.2 (Applied Biosystems). The target gene data were normalized to RNase P (which is always two copies/genome) and calibrated to normal-pooled blood DNA (Promega) which is supposed to have two copies for the gene of interest. Results were exported as text file and analyzed in the CopyCaller software V1.0 (Applied Biosystems) for target gene copy number prediction. DNA for PCR analysis was available from 53 of the 81 tumors (Supporting Information Table2). Raw data results from the qPCR analyses of copy numbers from all analyzed cases are given in Supporting Information Table3.
Table 2

The Most Frequently Detected (≥20%) Alterations in the Tumor Groups Analyzed by Array-CGH

AlterationaChromosomal regionNo of cases (%)
P-valueb
Flanking clone (from pter-qter)FL prior to transformationtDLBCLdnDLBCLFL vs tDLBCLtDLBCL vs dnDLBCL
1p loss
 Subregion FL1p35.3–36.11RP3–398I9//RP3–437I168 (53)5 (17)3 (10)0.02ns
 Subregion tDLBCL1p36.32–36.33CTB-14E10//RP1–37J186 (40)11 (38)2 (7)ns0.01
 Subregion de novo DLBCL1p36.32–36.12CTB-14E10//RP11–418J170–9 (0–53)1–11 (3–38)2–5 (7–17)ns-0.008–0.0001-nscns-ns-0.01-ns
2p gain
 Subregion FL2p15–16.3RP11–19A8//RP11–52F103 (20)6–12 (21–41)1 (3)nsns−0.001
 Subregion tDLBCL2p15–16.1RP11–260K8//RP11–261A243 (20)12 (41)1 (3)ns0.001
6q loss
 Subregion FL6q23.2–24.1RP11–557H15//RP11–15H73 (20)7–8 (24–28)9 (31)nsns
 Subregion tDLBCL6q16.3–16.3RP11–117M4//RP3–449G21 (7)9 (31)11–12 (38–41)nsns
 Subregion de novo DLBCL6q16.3–22.1RP3–449G2//RP3–383B80 (0)7–9 (24–31)12 (41)ns-0.02ns
8q gain
 Subregion FL8q12.2–12.2RP11–35A5//RP3–491L68 (53)9–10 (31–34)1 (3)ns0.01–0.005
 Subregion tDLBCL8q12.2–12.2RP11–35A5//RP11–35A58 (53)10 (34)1 (3)ns0.005
13q loss
 Subregion FL13q31.3–32.1RP11–632L2//RP11–318K193 (20)6 (21)0–1 (0–3)ns0.02–0.05
 Subregion tDLBCL13q21.1–21.31RP11–516G5//RP11–67L171–2 (7–14)8 (28)2 (7)nsns
 Subregion de novo DLBCL13q21.32-21.33RP11–424E21//RP11–393H62 (14)6–7 (21–24)2 (7)nsns
15q loss
 Subregion 1 tDLBCL15q24.1–24.1RP11-8P11//RP11–414J41 (7)8 (28)1 (3)ns0.03
 Subregion 2 tDLBCL15q26.1–26.3RP11–326A19//CTB-154P11 (7)8 (28)1 (3)ns0.03
 Subregion de novo DLBCL15q21.1–21.1RP11–151N17//RP11–151N172 (14)7 (24)5 (7)nsns
17q gain
 Subregion 1 tDLBCL17q21.33-21.33RP11–94C24//RP11–506D120 (0)8 (28)0 (0)0.040.004
 Subregion 2 tDLBCL17q22–23.1RP11–19F16//RP11–178C30 (0)8 (28)0–2 (0–7)0.040.004-ns
18q gain
 Subregion FL18q21.1–21.32RP11–116K4//RP11–396N118 (53)7–8 (24–28)10–11 (34–38)nsns
 Subregion tDLBCL18q21.32-21.32RP11–396N11//RP11–396N118 (53)8 (28)10 (34)nsns
 Subregion de novo DLBCL18q12.3–21.32RP11–486C18//RP11–350K66–8 (21–28)6–7 (21–24)11 (38)ns-ns-0.04-nsns
19p loss
 Subregion FL19p13.3–13.11CTC-546C11//CTC-260F207 (47)3–4 (10–14)0 (0)0.02–0.03ns
 19q loss
 Subregion FL19q13.2–13.43CTB-186G2//GS1–1129C97 (47)4 (14)0 (0)0.03ns
22q loss
 Subregion FL22q11.21-13.2XX-p273a17//RP1–85F187 (47)6 (21)0 (0)ns0.02
 Subregion tDLBCL22q11.21-13.2XX-p273a17//RP1–85F187 (47)6 (21)0 (0)ns0.02
No of tumors152929

Subregions refer to the most commonly occurring alteration defined by FL, tDLBCL, and dnDLBCL, respectively (see Fig. 1); FL, follicular lymphoma; tDLBCL, transformed diffuse large B-cell lymphoma; dnDLBCL, de novo DLBCL; ns, not significant.

Fishers exact test, significancy is indicated in bold.

Statistical analysis of possible outcomes between the two groups.

Table 3

Chromosomal Alterations Identified in Transformed Lymphomas

Tumor noCase noDiagnosisAbberationsa
4544:1DLBCL−6p22.3
4644:2FL−6p22.3
4745:1FL+2p16.1-15, −5q15-q23.2, +6p21.3-12.1, +7, +8, +10p14, −16p13.1-11.2
4845:2DLBCL+1pter-36.2, +2p16.1-14, −5q15-23.2, +6p21.3-12.1, +7, +8, −9, +10pter-11.2, +11pter-12, +11q14.2-qter, −13pter-q12.3, −16p13.1-11.2, −17p, −18pter-11.2, +18p11.2-qter, −19p13.2-12
4946:1FL
5046:2DLBCL−1pter-31.1,+1q21.3-24.3, −3p21.3-21.2, −3q13.3-22.1, −4q, −5pter-p14.1,+7p22.1-14.3, +7q22.1-qter, −8p, +8q13.2-qter,+9q, −11q12.1-13.3, −15, −17p, −19, −20q,+21, −22
5147:1FL
5247:2DLBCL+1q21.1-25.3, +5p, −6q23.3-25.2,+12q12-21.1, −16q12.1-23.3
5348:1FL−1pter-33, +1q25.3-32.1, −1q41-42.3, +2p21-16.2, −3p26.1-25.2, −4pter-16.1, −6p22.1-21.1,+7p22.1-qter,+8,
5448:2DLBCL−1pter-33, +1q25.3-32.1, −1q41-42.3, +2p21-16.2, −3p26.1-25.2,+4p, −6p22.1-21.1,+7p22.1-qter,+8, +9, −10q, −11, +12, −13, +14, −15q, + 17p, +17q, −20q
5549:1FL+3p21.3-21.1, +8q12.1-12.3, + 11
5649:2DLBCL−1pter-36.2, +3p21.3-21.1, −6p22.1-21.3, −6q13-24.1, +8q12.1-12.3, −9p21.3, −9p.21, −9q33.2-qter, +11, +12p13.3-12.3, −17pter-p.11.2, +17q12-21.3, −17q23.1-25.3, +18pter-q21.3
5750:1FL+8p11.2-12.1, −8q21.2-22.1, −10q22.2-25.1, −20q11.2-qter
5850:2DLBCL−5q13.3-14.1, −9p21.2-22.1, +9p12-21.2, +12, −14q21.3-22.3
5951:1FL−1pter-36.2, +1q, +3, + 4p15.3, −4q13.2-21.2, +5, +6pter-21.1, +7, +9, −13q12.3-12.1, −16q21, +18pter-q21.3, −22
6051:2DLBCL−1pter-33, +1q, +3, +4p15.3, +5, +6pter-21.1, +7, +9, −11pter-13, −12q23.2-qter, −13q12.3-14.3, −15q23, −16q21-23.1, +18pter-q22.1, −19q, −20, −22
6253:1FL−1pter-12, −4pter-16.1, −7q21.1-22.1, +7q22.1-31.33, +9p13.2-21.1, −11p12-q14.1, +18, −20q, −22
6353:2DLBCL−1pter-12, +2p-q14.2, −2q23.3-qter, −4pter-16.1, −6p22.1-21.1, −7q21.1-22.1, +7q22.1-31.3, +9p13.2-q21.1, −11p12-q14.1, −15, −17pter-q21.3, +17q21.3-qter, +18, −20q, −22
6555.1FL+1pter-36.2, +1q, +11, −13q21.1-34, +18, +19
6655:2DLBCL+1pter-36.2, −3p13-q21.1, −8pter-23.2, −9pter-21.1, +11, −13q21.1-34, +16p13.11-q12.1, + 18, +19
6756:1FL−1p34.2-12, −4p16.2-15.1, −7q35-36.3, −9pter-13.3, + 9p13.3-qter, −12pter-q13.1, −13, −14q24.3-31.1, −18, −22
6856:2DLBCL+1pter-p34.2, −1p34.2-12, −2q31.1-32.2, −4p16.2-15.1, −5q13.2-14.3, −7q35-36.3, −9pter-13.3, +9p13.3-qter, −10q23.1-23.3, −12pter-q13.1, −13, −14q24.3-13.1, −17p, +19q, −22
6957:1FL−1p36.2-35.1, +8, +11q24.2-qter
7057:2DLBCL−1p36.23-35.1, +6p22.3, +8, +11q24.2-qter, +12p13.3-12.3
7158:1FL−3p26.1-25.1, +3p25.1-22.1, −6q12-24.1, +8, −9p22.1-21.3, −17, −19
7258:2DLBCL+2p16.3-14, +6pter-q12, −6q12-24.1,+7, −9p22.1-21.3, +13q33.3-34, −17, −19
7358:3DLBCL+2p16.3-14, +6pter-q12, −6q12-24.1, +7, −9p22.1-21.3, +13q33.3-34, −17, −19
7459:1FL−1pter-23.3, −4pter-15.2, −7pter-21.3, −11p13-q14.1, −12q24.1-qter, −17, +18, −19, −22
7559:2FL−1pter-32.3, +1q31.1-qter, +2p23.3-15, −17pter-p12, +18, −19, −22
7659:3FL−1pter-32.3, +1q23.3-24.2, +2p16.3-14, −3pter-25.3, +3q22.2-qter, −4q31.2-34.1, −6q22.3-24.1,+7q21.1-31.1, +8q, −9p23-21.1, +9q21.1, +11pter-11.2, +11q22.3-23.3, −11q23.3-qter, −13q31.3-qter, −14q21.3-24.2, +15pter-15.1, −15q15.1-qter, −17p, +18
7759:4DLBCL−1pter-32.3, +1q23.3-24.2, −2p23.1-16.3, +2p16.3-14, −3pter-25.3, +3q22.2-qter, −4p12-q21.1, −4q31.2-34.1, +6pter-24.3, −6p21.1-12.2, −6q14.1-25.2, +7pter-14.1, +7q11.2-32.1, +8q, +9pter-22.3, −9p22.3-21.3, +9q21.1, +9q22.3-33.2, +10p, −10q26.1-qter, +11pter-15.1, +11q22.3-23.3, −11q23.3-qter, −13(homozygot), +15pter-q15.1, −15q15.1-qter, −17p, +18q21.3-23, −19, −22
7860:1FL−1pter-34.3,+1q22-qter, +11pter-11.2, −14q24.2-qter, −15q14-21.1, −19
7960:2FL−1pter-34.3, +1q22-qter, +11pter-11.2, −14q24.2-qter, −19, −22
8060:3FL−1pter-32.3, +1q21.3-qter, +2pter-12, +3p25.1-qter, +4q31.2-qter, +5, −6pter-21.1, +7, +8, +9q21.1-33.3, −10q21.3-qter, −11q12.1-qter, +12q13.3-21.3, +13, −14q23.3-qter, −16, −17p, −19, −22
8160:4FL−1pter-32.3, +1q21.3-qter, +2pter-12, +4q31.2-qter, +5, −6pter-21.1, +7, +8, +9q21.1-33.3, −10q21.3-qter, −11q12.1-qter, −12q13.3-21.3, +13, −14q23.3-qter, −16, −17p, −19, −22
8260:5DLBCL−1p, +1q21.2-qter,+2pter-12, +4q31.2-qter, +5, −6p22.3-qter, +7, +8, +9q21.1-33.3, −10, +12p13.1-q21.3, −14q31.3-qter, −17p, +20, −22

High level amplification is indicated in bold; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma.

The Most Frequently Detected (≥20%) Alterations in the Tumor Groups Analyzed by Array-CGH Subregions refer to the most commonly occurring alteration defined by FL, tDLBCL, and dnDLBCL, respectively (see Fig. 1); FL, follicular lymphoma; tDLBCL, transformed diffuse large B-cell lymphoma; dnDLBCL, de novo DLBCL; ns, not significant.
Figure 1

Skyline profiles showing the alterations identified by array-CGH in (A) FL prior to transformation, (B) tDLBCL as well as in (C) dnDLBCL tumors. Gains are indicated in red and losses in green. The blue lines indicate the threshold for alterations identified in at least 20% of the tumors. The arrow in (B) pinpoints 2p amplifications encompassing, among others, the BCL11A and REL-genes. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.]

Fishers exact test, significancy is indicated in bold. Statistical analysis of possible outcomes between the two groups. Skyline profiles showing the alterations identified by array-CGH in (A) FL prior to transformation, (B) tDLBCL as well as in (C) dnDLBCL tumors. Gains are indicated in red and losses in green. The blue lines indicate the threshold for alterations identified in at least 20% of the tumors. The arrow in (B) pinpoints 2p amplifications encompassing, among others, the BCL11A and REL-genes. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.] Chromosomal Alterations Identified in Transformed Lymphomas High level amplification is indicated in bold; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma.

Immunohistochemistry

Formalin-fixed paraffin embedded sections (4-µm thick) from seven cases with detected 2p amplification (cases 12, 21, 23, 31, 45, 58, and 59), 5 DLBCL GC type without 2p changes (cases 4, 6, 16, 17, and 18), 5 DLBCL non-GC type without 2p changes (cases 2, 7, 8, 13, and 15) and six cases of low grade FL (control samples) were immunostained using Bond-Max system (Leica Newcastle Upon Tyne, UK). Deparaffinization was done at 75°C using Bond Dewax solution. Dehydration was performed using ethanol, and rehydration by Bond wash solution 10× concentrate. Ethylenediaminetetraacetic acid (EDTA) buffer pH 8.9–9.1 (Bond Epitope Retrieval Solution 2 catalog no. AR9640) was used for antigen retrieval at 25°C. Slides were incubated with polyclonal rabbit anti-human BCL11A [N-terminus, LS-B3530-50, Nordic BioSite (1:600)] and mouse monoclonal anti-human REL [N-terminus, Santa Cruz Biotechnology (1:800)] for 20 min at room temperature. Polymeric horseradish peroxidase-anti-mouse rabbit IgG reagent was used and staining was visualized with diaminobenzidine (Bond Polymer Refine Detection Kit, catalog no. DS 9800). Images were acquired using the Olympus BX51 microscope and digital camera Olympus U-TV0.5XC-3.

Statistical Analysis

Differences between the studied groups were evaluated by statistical analysis using the software system SigmaPlot v.11.0 (Systat Software, Inc., CA). The Fisher's exact test (two tail) was applied to determine difference in studied groups. Results were considered as statistically significant with P-values less than 0.05.

Results

Overall Whole Genome CGH Array Alterations

The tumors were categorized into (a) FL prior to transformation, (b) tDLBCL, and (c) dnDLBCL (Table2). The dnDLBCL tumors were furthermore divided into GC and non-GC categories based on immunohistochemistry according to Hans algorithm (Hans et al., 2004). All tDLBCL, both the paired and nonpaired samples, were of GC immunophenotype. Studies based on paired tumor samples are of the highest importance to outline chromosomal changes occurring during the transformation from FL to tDLBCL. However, samples where both FL and tDLBCL counterparts are available from the same patient are scarce, and we have therefore analyzed also samples of tDLBCL, with known FL history, but no available diagnostic FL samples. Alterations detected in each tumor category are shown in Figure 1. In general, gains were more common than losses and more aberrations were found in tDLBCL than in dnDLBCL. The selected alterations were further narrowed down in each tumor group into a minimal altered region defined by the most frequently occurring aberration. The regions of greatest significance in each group are listed in Table2. The significance of each alteration was evaluated in tDLBCL vs. FL as well as tDLBCL versus dnDLBCL.

Alterations of Importance for the Transformation Process

In an attempt to outline chromosomal changes occurring during histological transformation from FL to tDLBCL, we found that gains at 17q21.33 (P < 0.04) and 17q22–23.1 (P < 0.04) were statistically more often seen in the tDLBCL (Table2). We also found a tendency for higher frequency of losses at 6q16.3 (P < 0.08) (Supporting Information Table1). This region, encompassing among others the SIM1, RNAH, GRIK2, and DJ467n11.1 genes, is frequently deleted in hematological malignancies including DLBCL of both de novo and transformed origin (Berglund et al., 2007; Thelander et al., 2008). When comparing the alterations detected in the tDLBCL to those found in the dnDLBCL (Table2), changes of interest were losses of 1p36.32–36.33 (P < 0.01), 13q31.3–32.1 (P < 0.02), 15q24.1 (P < 0.03), 15q26.1–26.3 (P < 0.03), and 22q11.21-13.2 (P < 0.02), and gains in 2p15–16.1 (P < 0.001), 8q12.2 (P < 0.005), 17q21.33 (P < 0.004), and 17q22–23.1 (P < 0.004).

Early and Late Events During Transformation

Paired samples from 15 patients (cases 44–51, 53, and 55–60) with two or more tumors collected throughout the course of transformation were available, permitting a more thorough analysis of the progression of specific chromosomal events during the transformation process. The aberrations identified in each individual tumor are listed in Table3, and the most commonly occurring alterations (detected in two or more paired tumors) are given in Supporting Information Table4. Gain of 2p15.1–16.1 was among the most frequently changed regions (29% of FL and 38% of tDLBCL).
Table 4

The Most Frequent Array-CGH Alterations in FL in Relation to the Total Number of Alterations

Case noNo of alt−6+8−1p−20q−10+1q−19−22−15q+2p15-16+7+6p+18q−13q−17p−9p21−14q
46:10
47:10
44:21−6p22.3
49:13+8q12.1-12.3
57:13+8−1p36.2-35.1
50:14+8p11.2-12−20q11.2-qter−10q22.2-25.1
60:16−1pter-34.3+1q22qter−19
60:26−1pter-34.3+1q22qter−19−22−15q14-21.1
45:17+8+2p15-16+7+6p21.3-12.1
55:17+1q+18−13q
59:27−1pter-32+1q31.1-qter−19−22+2p15-16+18−17pter-p12
58:17−6q12-24.1+8−19−17−9p22-21.3
48:19−6p22.1-21.1+8−1pter-33+1q25.3-32.1+2p15-16+7p22.1-qter
53:19−1pter-12−20q−22+7q22.1-31.3+18
56:19−1p34.2-12−22−13−9pter-13.3−14q24.3-31-1
59:19−1pter-23.3−19−22+18−17
51:111−1pter-36.2+1q−22+7+6pter−21.1+18pter-q21.3
60:418−6pter-21.1+8−1pter-32.3−10q21.3-qter+1q21.3-qter−19−22+2pter-12+7−17p−14q23.3-qter
60:319−6pter-21.1+8−1pter-32.3−10q21.3-qter+1q21.3-qter−19+2pter-12+7−17p−14q23.3-qter
59:320−6q22.3-24.1+8q−1pter32.3+1q23.3-24−15q15.1-qter+2p14-16+7q21.1-31.1+18−13q−17p−9p23-21.1−14q21.3-24.2

Bold indicates high level amplification; FL, Follicular Lymphoma; alt, alteration.

The Most Frequent Array-CGH Alterations in FL in Relation to the Total Number of Alterations Bold indicates high level amplification; FL, Follicular Lymphoma; alt, alteration. To outline the succession of chromosomal gains or losses during histological transformation, we studied the alterations in relation to number of changes in each individual tumor among the FL-tDLBCL pairs (Tables4 and 5). Losses of 9p, 13q, 14q, and 17p and gains in 2p, 6p, 7q, and 18 were detected in FL tumors with ≥7 alterations (Table4) and were therefore considered as late events in the FL prior to transformation. In the tDLBCL, losses of 1p, 6p, 6q, 9p, and 14q as well as gains of 1q, 6p, 8q, and 12q were considered as early events as these abnormalities appeared in the tumors with five alterations or less (Table5). Thus, losses of 9p and 14q as well as gains of 6p were identified as late events in FL prior to transformation and as early in tDLBCL, indicating that genes within these regions may be of importance for the peritransformational phase.
Table 5

The Most Frequent Array-CGH Alterations in tDLBCL in Relation to the Total Number of Alterations

Case noNo of alt−6p−9p−14q+6p−1p+8−6q+1q+12q+2p15−16−17p+7−19+1p−13q+18q+17q−22−10−15q−20q
44:11−6p22.3
50:24−9p21.2−22.1−14q21.3−22.3
57:24+6p22.3−1p36.2–35+8
47:25−6q23–25.2+1q21.1–25.3+12q12–21.1
58:28+6pter-q12−6q12–24.1+2p14–16−17+7−19
55:29−9pter-21.1+1pter-36.2−13q21.1–34+18
49:214−6p22.1–21.3−9p21.3−1pter-36.2+8q12−6q13–24−17pter-11.2+17q12–21
56:214−9pter-13.3−14q24.3–13.11p34.2–12−17p+1pter-34.2−13−22−10q23.1–23.3
53:215−6p22.1–21.1−1pter-12+2p16-q14.2−17pter-q21+7q22.1–31.3+18+17q21.3-qter−22−15−20q
60:515−6p22.3-qter−14q31.3-qter−1p+8+1q21.2-qter+12p13.1−q21.3+2pter-12−17p+7−22−10
45:217−9+6p21-12+8+2p14–16−17p+7−19p13.2–12+1pter-36.2
46:217−1pter-31+8q13-qter+1q21.33-24.3−17p+7p22-14−19−22−15−20q
51:217+6pter-21.1−1pter-33+1q+7−19q−22−15q23−20
48:218−6p22.1–21.1−1pter-33+8+1q25.3–32.1+12+2p16–21+7p22.1-qter+17q−10−15q−20q
59:430−6p21.1–12.2−9p22.3–21.3+6pter-24.3−1pter-32.3+8q−6q22.3–24+1q23.3–24.2+2p14–16.3−17p+7pter-14.1−19−13+18q21.3–23−22−10q26.1-qter−15q15.1-qter

Bold indicate high level amplification; tDLBCL, transformed diffuse large B-cell lymphoma; alt, alteration.

The Most Frequent Array-CGH Alterations in tDLBCL in Relation to the Total Number of Alterations Bold indicate high level amplification; tDLBCL, transformed diffuse large B-cell lymphoma; alt, alteration.

Lymphoma of GC and Non-GC Origin

Clinically, non-GC origin of DLBCL is considered to be more aggressive than the GC subtype (Hans et al., 2004). Among the GC DLCBL, the transformed tumors have a less favorable clinical outcome compared with the de novo cases. In our series, all tDLBCL had GC-related immunophenotype. An attempt was made to compare the alterations identified in GC (10 tumors) vs. non-GC (19 tumors) subcategories of dnDLBCL (Supporting Information Table1). The statistical analysis indicated that a deletion of 1p36.32–36.33 is more common in the GC group (20% vs. 0%, P < 0.053). However, in our study a relatively small number of tumors was available for analysis in the two groups studied and was therefore not considered further. The importance of this alteration could be investigated in larger tumor series. Furthermore, only one of the dnDLBCL tumors showed 2p amplification and this was interestingly of GC origin (Supporting Information Table1 and Figs. 1A and 1B). When comparing the CGH-derived dnDLBCL with the tDLBCL (which are all of GC origin) regarding amplification of 2p15–16, the difference is not significant (P < 0.12), indicating that this alteration may reflect cell of origin distribution (GC origin) rather than an oncogenic event related to transformation. However, our data on subsequent FL-tDLBCL tumors strongly indicate an involvement of this region in the transformation. This aspect is therefore further discussed below.

Amplification of 2p15–16

A gain of 2p15–16 was seen in 3/15 (20%) FL, 12/29 (41%) tDLBCL and in 1/29 (3%) of the dnDLBCL (GC origin) tumors (Table2). Interestingly, the only dnDLBCL tumor that showed a 2p amplification was of GC origin (Supporting Information Table1 and Figs. 1A and 1B), as is all tDLBCL. This could indicate that this DLBCL was in fact of transformed origin with a previously unknown FL counterpart. Notably, the only alteration that was detected as a high level amplification encompassed 2p15–16.3 carrying, among others, the BCL11A, REL, PEX13, USP34, XPO1, COMMD1, and OTX1 genes. These were therefore subjected to further analysis using qPCR (Table6 and Supporting Information Table2). The 16 lymphoma samples showing more or less than two copy numbers of the analyzed genes in 2p15–16.3 are listed in Table6. The highest level of amplification within this region was seen in USP34 (3–20 times) whereas the lowest level was noted for BCL11A (3–8 times). The most frequently amplified gene among the analyzed tumors was PEX13 (in eight tumors) and the least occurring was OTX1 (in five tumors; Case 59 was excluded from the comparison as DNA was not available for all the analyses).
Table 6

Gene Copy Number Estimated by Quantitative Real-Time PCR [Color table can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.]

Detected copy number
Case noDiagnosisBCL11ARELPEX13USP34XPO1COMMD1OTX1
2DLBCL2231111
5DLBCL2221221
7DLBCL2121211
12DLBCL2333232
17DLBCL2221222
20DLBCL3333332
21DLBCL79810>86>9
23DLBCL34444>44
31DLBCL3333333
45:1FL2232222
45:2DLBCL3101620698
58:2DLBCL871213892
58:3DLBCL671011993
59:2FL33nanananana
59:3FL79nanananana
59:4DLBCL66nanananana

DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma; Losses are indicated in green and gains in red; na, DNA not available.

Gene Copy Number Estimated by Quantitative Real-Time PCR [Color table can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.] DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma; Losses are indicated in green and gains in red; na, DNA not available.

Discussion

In an attempt to outline chromosomal regions that are lost or gained during histological transformation from FL to tDLBCL, we performed a comparison of the alterations identified by array-CGH in three studied groups, that is, FL, tDLBCL as well dnDLBCL (Supporting Information Table1). A comparison between the tDLBCL and dnDLBCL indicates alterations that differ between the transformed and the de novo cases and is therefore indicative of transformation as well as de novo specific alteration. Using a Fisher's exact test, we identified statistically significant regions of interest (Table2) among which amplification of 2p15–16 appeared to be the most significant (P < 0.001). This alteration has mainly been reported in the group of GC-DLBCL and never observed in the ABC subtype (Lenz et al., 2008). However, it should be noted that the dnDLBCL predominantly (19/29 = 66%) belong to the non-GC group and a comparison between dnDLBCL and tDLBCL may rather reflect the GC vs. non-GC cell of origin. The 2p15–16 region was the only one in our tumor setting where a high level amplification was detected and was therefore studied further (discussed below). We also examined the difference in alterations between the FL and the tDLBCL groups. However, these two groups are genetically linked by clonal evolution from FL to tDLBCL meaning that alterations of importance for the transformation process appear already in the FL and not only in the tDLBCL counterpart (Berglund et al., 2007). Therefore, alterations of importance for the initiation of transformation would appear already within the FL counterpart, and may not be identified as statistically different between these two subgroups studied and could therefore be missed. The chromosomal regions that appeared as statistically significant (Table2) may rather indicate alterations of importance for the early phase of tDLBCL rather than for the initiation of the transformation process.

Early tDLBCL Phase

Interestingly, we noted that a gain encompassing 17q21.33 was exclusively found in tDLBCL (P < 0.004)(Table2) indicating that an upregulation of this region may be of greater importance later in the transformation process rather than in the initiation phase, as it was not observed in the FL counterpart. It has previously been speculated that a gain of 17q, and in particular 17q21, is of importance in the histological transformation of FL to tDLBCL (Martinez-Climent et al., 2003; Nanjangud et al., 2007). One possible candidate, located in 17q21.33, that could be considered of importance in tumorigenesis is the NME1/NM23 gene that is involved in the transcriptional regulation of both NMYC and MYC. High expression of NME1/NM23 has been associated with decreased metastasis in breast cancer as well as in melanoma. However, in non-Hodgkin lymphoma it has been associated with adverse outcome (Niitsu et al., 2001) and is therefore a good target for further investigation.

The Peri-Transformation Phase

We found that loss of 6q16.3-24.1 is common during the transformation process from FL to tDLBCL as shown in other studies (Berglund et al., 2007; Nanjangud et al., 2007; Eich et al., 2010; Lossos and Gascoyne, 2011; Bouska et al., 2014). This chromosomal region is large but still very few candidate genes have been identified. In our previous study, we identified loss of 6q16-21 as a transitional change that was more common in tDLBCL than in FL (Berglund et al., 2007; Rane et al., 2011). This region is also frequently lost in solid tumors and SEN6A has been postulated as a tumor suppressor gene (Rane et al., 2011). In our setting, the minimal deleted regions at 6q16.3 that was found in the tDLBCL tumors were not observed as lost in the FL tumors (Table2). The 6q deletions identified in the FL tumors were situated more distal at 6q23.2-24.1 (Table2). Candidate genes in this region are TNFAIP3 as well as PERP and have earlier been discussed as targets in FL (Henderson et al., 2004; Ross et al., 2007; Schwaenen et al., 2009; Bouska et al., 2014). However, the most striking finding in our study appears to be the amplification of the 2p15-16 that was found to be the most frequently gained region in the peritransformation phase. This will be more thoroughly discussed below. Other statistically different alterations between the FL and tDLBCL were found, such as losses of 1p35.3-36.11 (P < 0.02), 19p13 (P < 0.02), and 19q13 (P < 0.03). Losses of these regions were more common in the FL than in the tDLBCL counterpart (Table2). This could be interpreted as if genes encompassed by these alterations are not directly involved in the initiation of the transformation. It is interesting to note that none of the dnDLBCL displayed any such alterations in chromosome 19. As mentioned earlier, loss of 9p and 14q as well as gain of 6p were noted as late FL events and as early tDLBCL events (Tables4 and 5) indicating involvement in the peritransformational phase. Loss of 9p and gain of 6p were also more frequent in tDLBCL compared to FL in the paired samples. The CDKN2A/P14ARF gene located at 9p21 is a strong candidate and has previously shown to be involved in the transformation of FL (Lossos and Gascoyne, 2011). Furthermore, the CCND3 gene at 6p21 has previously been suggested to be involved in the transformation from FL to tDLBCL (Martinez-Climent et al., 2003). In a recent paper by Okosun et al. (2014) on transformation from FL to tDLBCL, it is stated that no single compelling genetic event could be identified as responsible for transformation but that distinct genetic alterations may prompt the onset of aggressive disease. However, in our series of subsequent and paired tumors, we strongly believe that an upregulation of genes in 2p15–16 could be such a translocation prone alteration.

Amplification of the Region 2p15-16

When tDLBCL were compared with dnDLBCL, the statistically most significant change by array-CGH was an amplification of 2p15–16.3 (P < 0.001) encompassing, among others, the BCL11A, REL, PEX13, USP34, COMMD1, and OTX1 genes. This region was found to be most frequently gained in the FL samples collected prior to transformation as well as the first tDLBCL samples immediately after transformation. Notably, in all tDLBCL tumors, a high level amplification was observed indicating its significance in the transformation process. A discussion has previously been raised concerning if the true target gene in this amplicon is REL, BCL11A or both. REL has been shown to be more frequently amplified and it may therefore play a more important role than BCL11A in the pathogenesis of the tDLBCL (Fukuhara et al., 2006). This hypothesis is also supported by our investigation using qPCR which showed a higher level of amplifications of REL compared to BCL11A in cases with 2p15–16.3 amplifications (Table6). In case 31, equal copy numbers were detected in REL and BCL11A (i.e., three copies of each), whereas in cases 12, 21, 23, 45, and 59 the copy numbers of BCL11A ranged from 2 to 7 copies whereas REL showed 2 to10 copies (Table6). In case 45:2, the difference was highest with three copies of BCL11A and 10 copies of REL indicating that REL may be the driver gene. In case 59, tumors 2 and 4 showed equal copy numbers that is, 3 and 6, respectively. However, the intermediate tumor 59:3 showed a difference of seven copies for BCL11A and nine copies of REL. Interestingly, this tumor is a FL just prior to transformation to tDLBCL. However, we also investigated the PEX13, USP34, XPO1, COMMD1, and OTX1 genes included in the 2p15–16.3 amplicon. We noted that the highest level of amplification was seen for USP34 that was amplified up to 20 times, showing the highest amplification in three cases (tumors 21, 45:2, and 58:2). USP34 has previously showed to be involved as a negative regulator of the NF-κB signaling pathway in lymphocytes; however, it is most extensively studied in T-cells (Poalas et al., 2013). PEX13 appeared as the most commonly amplified (eight cases) whereas OTX1 was the least commonly amplified (four cases) even though the level of amplification of OTX1 was in general higher compared with BCL11A. The OTX1 protein acts as a transcription factor and has been suggested to be of importance in B-cell maturation (Omodei et al., 2009) making it an interesting candidate for further analysis of involvement in the transformation process. Notably, in cases 45:1 and 45:2 (Table6), representing the FL and tDLBCL counterparts from the same patient, the biggest increase in copy numbers were noted for USP34 (from 2 to 20 copies), PEX13 (from 3 to16 copies), and REL (from 2 to10 copies), indicating the importance of these three genes for transformation. Taken together, these findings indicate that the REL gene can be of greater importance than BCL11A as a driver gene for the transformation process from FL to tDLBCL. However, the other genes within the 2p15-16.3 amplicon could also be of importance for the tumor transformation as all of them show a significant level of amplification. Their importance for the transformation process remains to be illuminated. In cases 45, 58, and 59, more than two subsequent tumors were available for further analysis during the transformation process. In two of these (45 and 58), the amplification of 2p15-16 was first seen in the tDLBCL whereas it was absent in the FL prior to transformation (Fig. 2). However, in case 59, amplification was seen already in the FL stage of disease (tumor 59:3), indicating that this alteration occurs early in the transformation process and drives the transformation rather than being a result of it. Notably, a tendency to amplification was seen already in tumor 59:2 (Fig. 2 and Table6) which is the FL tumor preceding the FL prior to transformation (59:3). Therefore, we suggest that amplification of 2p15-16 could be associated with the transformation process and that this alteration may possibly serve as a biomarker for the detection of FL with a potential to transform to tDLBCL as well as to discriminate between dnDLBCL and tDLBCL (Figs. 3 and 4).
Figure 2

(A) Array-CGH profiles of chromosome 2 from subsequent tumors from cases 45, 58, and 59 showing progression with high level amplification of 2p15-16, encompassing the BCL11A and REL genes. The dotted line indicates the transformation from FL to tDLBCL. The blue arrow indicates the amplification encompassing the BCL11A and REL genes. (B) qPCR showing copy numbers of BCL11A and REL in the subsequent tumors from cases 45 and 59, respectively. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.]

Figure 3

Genes located within the minimal region of gain in 2p15-p16.1 identified in transformed tumors by array-CGH. The clones flanking the minimal region are indicated below. Genes that have been further investigated by qPCR in this study are indicated in bold. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.]

Figure 4

Immunohistochemistry of BCL11A and REL performed on subsequent tumors of transformed lymphoma from cases 45, 58, and 59 showing a correlation between copy numbers by qPCR (left) and the protein expression (right). FL = follicular lymphoma; DLBCL = diffuse large B-cell lymphoma. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.]

(A) Array-CGH profiles of chromosome 2 from subsequent tumors from cases 45, 58, and 59 showing progression with high level amplification of 2p15-16, encompassing the BCL11A and REL genes. The dotted line indicates the transformation from FL to tDLBCL. The blue arrow indicates the amplification encompassing the BCL11A and REL genes. (B) qPCR showing copy numbers of BCL11A and REL in the subsequent tumors from cases 45 and 59, respectively. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.] Genes located within the minimal region of gain in 2p15-p16.1 identified in transformed tumors by array-CGH. The clones flanking the minimal region are indicated below. Genes that have been further investigated by qPCR in this study are indicated in bold. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.] Immunohistochemistry of BCL11A and REL performed on subsequent tumors of transformed lymphoma from cases 45, 58, and 59 showing a correlation between copy numbers by qPCR (left) and the protein expression (right). FL = follicular lymphoma; DLBCL = diffuse large B-cell lymphoma. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.] In summary, we identified differential genomic events between dnDLBCL and tDLBCL that may be of importance in the histological transformation from FL to tDLBCL, as well as reflect the GC vs. non-GC cell of origin. The chromosomal region 2p15-16 appeared as a high level amplification in all of the tDLBCL tumors where it was detected, underlining its significance in the transformation process. Notably, it was in one case shown to be amplified already in the FL counterpart prior to the paired tDLBCL tumor, indicating its importance for the peritransformation phase. Taken together, 2p15-16 amplification in lymphoma serve as a marker for early recognition of disease progression and we suggest that REL, PEX13, and USP34 may be driver genes rather than BCL11A as previously suggested. Furthermore, a gain of 17q21-23 was exclusively detected in tDLBCL, making this region of interest for candidate genes involved in the late transformation process. We also confirm the impact of the TP53-, NF-κΒ−, and CDKN2A pathways in the transformation process from FL to tDLBCL.
  27 in total

1.  Characterization of target genes at the 2p15-16 amplicon in diffuse large B-cell lymphoma.

Authors:  Noriko Fukuhara; Hiroyuki Tagawa; Yoshihiro Kameoka; Yumiko Kasugai; Sivasundaram Karnan; Junichi Kameoka; Takeshi Sasaki; Yasuo Morishima; Shigeo Nakamura; Masao Seto
Journal:  Cancer Sci       Date:  2006-06       Impact factor: 6.716

2.  Characterization of 6q deletions in mature B cell lymphomas and childhood acute lymphoblastic leukemia.

Authors:  Emma Flordal Thelander; Koichi Ichimura; Martin Corcoran; Gisela Barbany; Ann Nordgren; Mats Heyman; Mattias Berglund; Andy Mungall; Richard Rosenquist; V Peter Collins; Dan Grandér; Catharina Larsson; Svetlana Lagercrantz
Journal:  Leuk Lymphoma       Date:  2008-03

3.  Genomic imbalances during transformation from follicular lymphoma to diffuse large B-cell lymphoma.

Authors:  Mattias Berglund; Gunilla Enblad; Ulf Thunberg; Rose-Marie Amini; Christer Sundström; Göran Roos; Martin Erlanson; Richard Rosenquist; Catharina Larsson; Svetlana Lagercrantz
Journal:  Mod Pathol       Date:  2006-09-29       Impact factor: 7.842

Review 4.  Transformation of follicular lymphoma.

Authors:  Izidore S Lossos; Randy D Gascoyne
Journal:  Best Pract Res Clin Haematol       Date:  2011-05-06       Impact factor: 3.020

5.  Restoration of senescence in breast and ovarian cancer cells following the transfer of the YAC carrying SEN6A gene located at 6q16.3.

Authors:  Neena S Rane; Arbansjit K Sandhu; Vikramjit S Zhawar; Gurpreet Kaur; Nicholas C Popescu; Raj P Kandpal; Meena Jhanwar-Uniyal; Raghbir S Athwal
Journal:  Cancer Genomics Proteomics       Date:  2011 Sep-Oct       Impact factor: 4.069

6.  Intensified chemotherapy and dose-reduced involved-field radiotherapy in patients with early unfavorable Hodgkin's lymphoma: final analysis of the German Hodgkin Study Group HD11 trial.

Authors:  Hans Theodor Eich; Volker Diehl; Helen Görgen; Thomas Pabst; Jana Markova; Jürgen Debus; Anthony Ho; Bernd Dörken; Andreas Rank; Anca-Ligia Grosu; Thomas Wiegel; Johann Hinrich Karstens; Richard Greil; Normann Willich; Heinz Schmidberger; Hartmut Döhner; Peter Borchmann; Hans-Konrad Müller-Hermelink; Rolf-Peter Müller; Andreas Engert
Journal:  J Clin Oncol       Date:  2010-08-16       Impact factor: 44.544

7.  Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray.

Authors:  Christine P Hans; Dennis D Weisenburger; Timothy C Greiner; Randy D Gascoyne; Jan Delabie; German Ott; H Konrad Müller-Hermelink; Elias Campo; Rita M Braziel; Elaine S Jaffe; Zenggang Pan; Pedro Farinha; Lynette M Smith; Brunangelo Falini; Alison H Banham; Andreas Rosenwald; Louis M Staudt; Joseph M Connors; James O Armitage; Wing C Chan
Journal:  Blood       Date:  2003-09-22       Impact factor: 22.113

8.  Molecular cytogenetic analysis of follicular lymphoma (FL) provides detailed characterization of chromosomal instability associated with the t(14;18)(q32;q21) positive and negative subsets and histologic progression.

Authors:  G Nanjangud; P H Rao; J Teruya-Feldstein; G Donnelly; J Qin; S Mehra; S C Jhanwar; A D Zelenetz; R S K Chaganti
Journal:  Cytogenet Genome Res       Date:  2007       Impact factor: 1.636

9.  Expression of the brain transcription factor OTX1 occurs in a subset of normal germinal-center B cells and in aggressive Non-Hodgkin Lymphoma.

Authors:  Daniela Omodei; Dario Acampora; Filippo Russo; Rosaria De Filippi; Valeria Severino; Raffaele Di Francia; Ferdinando Frigeri; Pietro Mancuso; Anna De Chiara; Antonio Pinto; Stefano Casola; Antonio Simeone
Journal:  Am J Pathol       Date:  2009-11-05       Impact factor: 4.307

10.  Comprehensive analysis of copy number and allele status identifies multiple chromosome defects underlying follicular lymphoma pathogenesis.

Authors:  Charles W Ross; Peter D Ouillette; Chris M Saddler; Kerby A Shedden; Sami N Malek
Journal:  Clin Cancer Res       Date:  2007-08-15       Impact factor: 12.531

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1.  Identifying candidate genes for 2p15p16.1 microdeletion syndrome using clinical, genomic, and functional analysis.

Authors:  Hani Bagheri; Chansonette Badduke; Ying Qiao; Rita Colnaghi; Iga Abramowicz; Diana Alcantara; Christopher Dunham; Jiadi Wen; Robert S Wildin; Malgorzata Jm Nowaczyk; Jennifer Eichmeyer; Anna Lehman; Bruno Maranda; Sally Martell; Xianghong Shan; Suzanne Me Lewis; Mark O'Driscoll; Cheryl Y Gregory-Evans; Evica Rajcan-Separovic
Journal:  JCI Insight       Date:  2016-03-17

2.  Genomic alterations important for the prognosis in patients with follicular lymphoma treated in SWOG study S0016.

Authors:  Xiaoyu Qu; Hongli Li; Rita M Braziel; Verena Passerini; Lisa M Rimsza; Eric D Hsi; John P Leonard; Sonali M Smith; Robert Kridel; Oliver Press; Oliver Weigert; Michael LeBlanc; Jonathan W Friedberg; Min Fang
Journal:  Blood       Date:  2018-11-16       Impact factor: 22.113

3.  Expression of exportin-1 in diffuse large B-cell lymphoma: immunohistochemistry and TCGA analyses.

Authors:  Bin Luo; Lanshan Huang; Yongyao Gu; Chunyao Li; Huiping Lu; Gang Chen; Zhigang Peng; Zhenbo Feng
Journal:  Int J Clin Exp Pathol       Date:  2018-12-01

4.  PIK3CA expression in diffuse large B cell lymphoma tissue and the effect of its knockdown in vitro.

Authors:  Wenli Cui; Shutao Zheng; Zebing Liu; Weige Wang; Ying Cai; Rui Bi; Bing Cao; Xiaoyan Zhou
Journal:  Onco Targets Ther       Date:  2017-04-20       Impact factor: 4.147

5.  Whole-exome and transcriptome sequencing of refractory diffuse large B-cell lymphoma.

Authors:  Ha Young Park; Seung-Bok Lee; Hae-Yong Yoo; Seok-Jin Kim; Won-Seog Kim; Jong-Il Kim; Young-Hyeh Ko
Journal:  Oncotarget       Date:  2016-12-27

6.  Nuclear COMMD1 Is Associated with Cisplatin Sensitivity in Ovarian Cancer.

Authors:  Alina Fedoseienko; Hylke W Wieringa; G Bea A Wisman; Evelien Duiker; Anna K L Reyners; Marten H Hofker; Ate G J van der Zee; Bart van de Sluis; Marcel A T M van Vugt
Journal:  PLoS One       Date:  2016-10-27       Impact factor: 3.240

7.  PiggyBac transposon tools for recessive screening identify B-cell lymphoma drivers in mice.

Authors:  Julia Weber; Jorge de la Rosa; Carolyn S Grove; Markus Schick; Lena Rad; Olga Baranov; Alexander Strong; Anja Pfaus; Mathias J Friedrich; Thomas Engleitner; Robert Lersch; Rupert Öllinger; Michael Grau; Irene Gonzalez Menendez; Manuela Martella; Ursula Kohlhofer; Ruby Banerjee; Maria A Turchaninova; Anna Scherger; Gary J Hoffman; Julia Hess; Laura B Kuhn; Tim Ammon; Johnny Kim; Günter Schneider; Kristian Unger; Ursula Zimber-Strobl; Mathias Heikenwälder; Marc Schmidt-Supprian; Fengtang Yang; Dieter Saur; Pentao Liu; Katja Steiger; Dmitriy M Chudakov; Georg Lenz; Leticia Quintanilla-Martinez; Ulrich Keller; George S Vassiliou; Juan Cadiñanos; Allan Bradley; Roland Rad
Journal:  Nat Commun       Date:  2019-03-29       Impact factor: 14.919

8.  Aberrantly Expressed OTX Homeobox Genes Deregulate B-Cell Differentiation in Hodgkin Lymphoma.

Authors:  Stefan Nagel; Stefan Ehrentraut; Corinna Meyer; Maren Kaufmann; Hans G Drexler; Roderick A F MacLeod
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

9.  Concurrent TP53 and CDKN2A Gene Aberrations in Newly Diagnosed Mantle Cell Lymphoma Correlate with Chemoresistance and Call for Innovative Upfront Therapy.

Authors:  Diana Malarikova; Adela Berkova; Ales Obr; Petra Blahovcova; Michael Svaton; Kristina Forsterova; Eva Kriegova; Eva Prihodova; Lenka Pavlistova; Anna Petrackova; Zuzana Zemanova; Marek Trneny; Pavel Klener
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