Background
Diffuse large B-cell lymphoma (DLBCL), the most common type of non-Hodgkin lymphoma, is defined as a neoplasm of large B lymphocytes that display a diffuse growth pattern [
1]. DLBCL is a quite diverse group of malignancies with respect to cell morphology, pathogenesis, clinical presentation, and therapeutic response [
1‐
3]. Gene expression profiling studies identified two major subgroups of nodal DLBCL based on the “cell of origin”: the germinal center (GC) B-cell-like DLBCL (GCB DLBCL) and the prognostically less favorable activated B-cell-like DLBCL (ABC DLBCL) [
4]. Immunohistochemical signatures were developed to translate the molecular signatures and distinguish between the GCB DLBCL and non-GCB DLBCL [
5].
The World Health Organization (WHO) classification distinguishes numerous subtypes of DLBCL [
1]. In the majority of the cases, DLBCL leads to effacement of the nodal architecture by a diffuse infiltrate of malignant cells. Rarely, however, DLCBL can show an interfollicular pattern (DLBCL-IF) of proliferation, preserving the lymphoid follicles [
6]. These cases constitute only about 1% of all DLBCL, frequently display a polymorphous appearance microscopically due to the admixture of non-neoplastic inflammatory cells, and often present a diagnostic challenge. Previous reports indicate that DLBCL-IF are predominantly of non-GCB type [
6,
7]. Interestingly, the interfollicular large B cells in normal lymph node also show a non-GCB phenotype and share some immunophenotypic characteristics with monocytoid B cells [
8]. It has been postulated that DLBCL-IF is derived from marginal zone B cells and may represent a large-cell transformation of an underlying MZL [
7], however, no direct evidence has been provided to date. The overall survival rate and prognosis of the DLBCL-IF seems to be better than that of a non-IF DLBCL as control group (DLBCL-CG) as the majority of cases present in stage 1 or 2, show significantly lower International Prognostic Index (IPI) scores than the DLBCL-CG [
6]. Consequently, it has been previously suggested that DLBCL-IF is a distinct clinicopathologic entity [
7].
In the case described here, we provide a direct evidence genetically linking DLBCL-IF and MZL. Furthermore, we identify a novel del(20q12) and a BIRC3 missense mutation in DLBCL-IF, but not the patient’s preceding MZL involving skin, strongly suggesting that these genomic alterations are at least in part responsible for the large cell transformation.
Materials and methods
Histology and immunohistochemistry
Formalin-fixed paraffin-embedded tissue sections were stained with hematoxylin and eosin (H&E). Immunohistochemical stains were performed on 4 μm tissue sections using an Autostainer (Leica BOND platform, Buffalo Grove, IL) according to manufacturer’s instructions. Sections were deparaffinized in xylene and graded alcohols. Detection of the antibodies was performed using a chromogenic substrate, diaminobenzene (DAKO). The following antibodies were used: CD1a, CD3, CD5, CD10, CD20, CD23, CD30, CD79a, BCL6, Oct-2, BOB.1 (all from Leica), CD2, CD8, BCL2, CD45, CD68, CD138, CD163, MUM-1/IRF4, ALK, Ki67, p53 (all from Dako), BCL1 (Fisher), c-MYC (Epitomics), PAX5 and CD15 (both BD Bioscience), CD4 (Biocare), CD56 (Zymed/Invitrogen), CD57 (Thermofisher), PD-1 (Abcam), TIA1 (Immunotech), and panCK (Biogenex),
Molecular analysis for clonality
DNA was extracted from either fresh tissue (i.e., skin) or paraffin embedded (i.e., lymph node) tissue. PCR amplification was subsequently performed using two sets of fluorescently-labeled primers (InVivoScribe Technologies) that hybridize to a conserved V-framework (i.e., FR2 or FR3) region and the conserved J-region of immunoglobulin heavy chain (IGH) gene. The PCR products were size separated by capillary electrophoresis on a 3500xL Genetic Analyzer (Life Technologies). Data were analyzed (GeneMapper v5.0 software) and then reviewed for peak patterns consistent with a clonal expansion.
Fluorescence in situ hybridization (FISH) analysis
FISH was performed on 3 μm formalin-fixed paraffin embedded sections using the Vysis LSI D20S108 (20q12) SpectrumOrange probe and the Vysis CEP 8 (D8Z2, 8p11.1-8q11.1 alpha satellite) SpectrumGreen (Abbott Molecular Laboratories, Abbott Park, IL), according to the manufacturers’ instructions. In brief, slides were deparaffinized using xylene incubation (×3), followed by ethanol wash steps (100, 70%). Prior to hybridization the slides were treated with Dako Pre-Treatment solution (Dako, Inc K5799) followed by digestion with pepsin (37 °C, 15 min). Slides were dehydrated in ethanol (70, 85, 100%), dried and the FISH probes were added and incubated overnight. The following morning the slides were washed, counterstained with DAPI and manually visualized and scored.
Gene mutation analysis
Detection of single nucleotide variants (SNVs) and insertions/deletions (indels) analysis of paraffin-embedded skin and lymph node tissue samples was performed by the University of Pennsylvania clinical genomics laboratory, the Center for Personalized Diagnostics. The genes sequenced were part of a custom, targeted next-generation sequencing amplicon panel for 68 hematologic malignancy-associated genes (TruSeq Custom Amplicon, Illumina Inc.) based on previously described analyses [
9,
10]. Briefly, individual library preparations were pooled and concurrently sequenced on the Illumina MiSeq (Illumina, Inc.). To assure a minimum read depth of 250×, the mean depth of coverage across the entire panel was 2000×. Detection of SNVs was validated to a 4% allele frequency and large indels to a 1% allele frequency. A separate assay was performed in parallel to sequence the
CEBPA gene using long range PCR to isolate the gene and library preparation was performed using the tagmentation-based Nextera library preparation kit (Illumina, Inc.). The CEBPA gene was sequenced in tandem with the hematologic next-generation sequencing panel and reported together with the custom heme-NGS panel.
A custom bioinformatics pipeline was utilized to detect alterations [
11]. Manual review of the data including visualization of variants was performed on all samples following bioinformatics processing variants, with variants compared with our knowledgebase and on-line databases for further curation, using human reference sequence UCSC build hg 19 (NCBI build 37.1) for comparison. Single nucleotide polymorphisms (SNPs) with a minor allele frequency (MAF) > 0.1% were considered benign and were not reported; these calls were based on the Exome Variant Server (
http://evs.gs.washington.edu/EVS), the ExAC browser (
http://exac.broadinstitute.org) and dbSNP. Reported variants used nomenclature based on the Human Genome Variation Society nomenclature guidelines (
http://www.hgvs.org/mutnomen) and internally categorized into five different categories (benign, likely benign, variant of uncertain significance, likely pathogenic, pathogenic); the categories likely benign, variant of uncertain significance and likely pathogenic were reported as variants of uncertain significance in the electronic health record.
Flow cytometry
Flow cytometry was performed on representative tissue from the inguinal lymph node using the FACSCantoII flow cytometer from BD Immunosystems. Samples were prepared by aliquoting 50–75 μL of prepared cell suspension into reagent tubes. Twenty microliter of rabbit blocking reagent was added to the B cell clonality tube and allowed to incubate at 37 °C for 20 min and 20 μL of rabbit serum was added to the remainder of the tubes. Laboratory prepared and premixed antibody cocktail was added in 20 μL aliquots to each designated tube and allowed to incubate in the dark for 20 to 30 min. The cells were then washed with 3 to 5 ml of wash buffer that was added to each tube, followed by centrifuging at 1450 rpm for 5 min at 10 °C. The cell pellet was resuspended in 0.5 ml of wash buffer and 10 μL of DAPI working solution was added to each tube. Data is then acquired on the flow cytometer.
Discussion
We report a rare case of a DLBCL with an interfollicular pattern of involvement (DLBCL-IF) with sparing of the nodal architecture including lymphoid follicles. This pattern is common in peripheral T-cell lymphoma, not otherwise specified (PTCL, NOS) that shows proliferation of malignant cells in the paracortex [
1]. Our case showed that the large malignant cells were admixed with an inflammatory infiltrate including abundant eosinophils. It has been reported that approximately 60% of DLBCL-IF cases contain reactive inflammatory cells that are admixed with the large cells, a feature that is frequently seen also in PTCL, NOS [
1,
6,
7]. Thus, DLBCL-IF can mimic histological picture of PTCL, NOS and it is of utmost importance to be aware of this entity, as PTCL-NOS carries a worse prognosis than DLBCL-IF and calls for different therapeutic approaches. Therefore, immunohistochemistry studies are required to differentiate between these two entities. It is important to keep in mind that both these types of lymphoma can be immunoreactive for CD30. Furthermore, it is critical to always consider DLBCL-IF in the differential diagnosis of atypical interfollicular proliferations. Since distinguishing it from a reactive interfollicular hyperplasia may be sometimes difficult, given the abundant background of inflammatory cells often seen in this type of lymphoma, additional ancillary testing including
IGH gene rearrangement studies and flow cytometry may prove particularly useful to establish the diagnosis.
It has been postulated that DLBCL-IF may be derived from marginal zone B cells and may represent a large-cell transformation of a MZL [
7,
8]. To date, however, there was no direct evidence to confirm this hypothesis. Here we show for the first time a direct link between a MZL and DLBCL-IF by demonstrating the presence of the same clonal
IGH rearrangement in the patient’s skin and nodal biopsies. Furthermore we identified del(20q12) in the DLBCL-IF. This genetic abnormality has not been reported to date in a DLBCL of any kind. Deletion of chromosome 20q is a common cytogenetic abnormality in various myeloid neoplasms, most notably myelodysplastic syndrome [
1,
13,
14] but its association with lymphoid malignancies is rare and limited to a few reports. This includes a case of lymphoplasmacytic lymphoma/Waldenström macroglobulinemia [
15] and two cases of marginal zone lymphoma [
12,
16]. Another study of 64 patients with chronic lymphocytic leukemia (CLL) revealed that del(20q) appears to be a therapy-related abnormality in CLL involving both myeloid and lymphoid cells and may represent disease progression [
17,
18]. Given that del(20q12) in this patient was identified in the lymph node and not skin lesion and that the patient has not received any prior chemotherapy at that time, this abnormality is likely related to transformation of MZL to DLBCL and implicates a loss of important gene(s) likely with tumor suppressor function. Potential candidate genes that map to this region include
MYBL2 [
19],
Dido [
20],
L3MBTL1 [
21] and
SAMHD1 [
22].
Next-generation sequencing studies using a custom panel of 68 hematologic malignancy-associated genes revealed the same missense variant in EZH2 in both the skin and lymph node specimen and a missense variant in BIRC3 that was present only in the lymph node specimen. The EZH2 variant was listed in all three databases searched at very low allele frequencies (5 cases in COSMIC, in 4/13002 alleles in the exome variant server, and 37/121,370 alleles in the ExAC database).
The missense variant in BIRC3 (p.C572Y → c.1715G > A), not reported in any of the three databases searched (see methods section), was detected only in the lymph node but not skin specimen at an allele frequency of 5.36%. Morphologic examination revealed that the tumor comprises about 10-15% of the lymph node specimen. When these two observations are taken together, the data imply that the BIRC3 mutation may be present in a heterozygous state within the neoplasm (i.e., a tumor burden of approximately 10% with a heterozygous mutation would be expected to generate an allelic burden of approximately 5%). So, even though this variant has not been previously described, the circumstantial evidence implies this is an oncogenic mutation that occurred in the malignant DLBCL-IF cells.
The fact that this mutation was only seen in the lymph node and not in the skin biopsy strongly suggests that it may have contributed to transformation of this patient’s MZL to DLBCL.
BIRC mutations are not among the recurrent mutations in the “standard” DLBCL according to a recent report [
23].
BIRC3 gene located on chromosome 11 at 11q22.2 encodes cIAP2 (cellular inhibitor of apoptosis 2), that acts as an E3 ubiquitin ligase that regulates NF-kappa-B signaling and affects a variety of cell functions including apoptosis, proliferation and immune modulation [
24,
25]. Of note, proteins from the IAP family are potential therapeutic targets in hematological malignancies [
26].
BIRC3 mutations have been identified in various small B cell lymphomas including chronic lymphocytic leukemia (CLL) and splenic marginal zone lymphoma (SMZL) [
27,
28]. More recent studies demonstrate the role of the ubiquitin ligases, both cIAP2 and a closely structurally related cIAP1, encoded by the
BIRC2 gene, in NF-κB signaling triggered by the B cell receptor (BCR) in DLBCL cells [
29].
The alteration in
EZH2 gene (p.N322S → c.965A > G) was observed with an allele frequency of approximately 50% in both specimens and this most likely represents a benign/low-oncogeneic potential polymorphism rather than a highly oncogenic mutation.
EZH2 gene on 7q36 encodes the histone methyltransferase which initiates epigenetic silencing of genes [
30] and plays a role in normal B cell development [
31].
EZH2 is mutated in a variety of tumors including lymphomas and targeting of EZH2 protein with specific inhibitors show promising results in preclinical studies and early clinical trials [
32‐
34]. Interestingly, it has been reported that
EZH2 polymorphisms may contribute to susceptibility of tumor development and predict overall survival in some cancers [
35‐
38] and may have also contributed to progression of the disease in this patient.