Table of contents :
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Epidemiology
: average onset at age 70
Pathogenesis :
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| SWOG-85161 | CHOP | 49% | 60% |
| GELA6 | CHOP | 40% | 60% |
| CHOP-rituximab | 58% | 72% | |
| ECOG-44947 | CHOP | 55% | 65% |
| CHOP-rituximab | 65% | 71% |
The GCB group has a significantly better survival than the ABC group. The type 3 group is heterogeneous and not well defined, but has a poor outcome similar to the ABC group. Another study using an oligonucleotide array has demonstrated that DLBCL can be divided into 2 molecularly distinct populations (cured and fatal/refractory)ref. Because this technology is expensive and not generally available, a simpler, more widely available method to subclassify DLBCL into molecularly distinct and prognostically significant groups using IHC would have wide applicability and practical utility in routine clinical practice. A few studies have used the immunohistochemical expression of CD10, bcl-6, or MUM1 to classify cases of DLBCL into GCB and non-GCB groupsref1, ref2, ref3, McClintock S, 244a. However, the resulting data are conflicting, with 2 studies showing a significantly better survival for the GCB groupref1, McClintock S, 244a. whereas 2 others have found no difference in survival between the GCB and non-GCB groupsref1, ref2. None of these studies had cDNA microarray gene expression data to correlate with their immunohistochemical findings. All of the cases included in our study were previously evaluated by cDNA microarray technologyref1, ref2. The goal of this study was to evaluate the use of immunoperoxidase staining for predictive markers to accurately subdivide DLBCL into these prognostically relevant subgroups using the cDNA microarray results as a gold standard. Gene expression studies using cDNA microarrays have identified prognostic subgroups in DLBCLref1, ref2, ref3. Although as few as 13 to 17 genes can be used to identify prognostic subgroupsref1,ref2, gene expression technology is not currently available for routine clinical use. Furthermore, this technology requires fresh or frozen tissue with an adequate amount of RNA. With the frequent use of radiologically directed needle biopsies, adequate tissue for routine histology is sometimes difficult to obtain. Therefore, the ability to identify subgroups of DLBCL using immunohistochemistry would have great practical utility. The GCB and non-GCB subtypes of DLBCL can be accurately predicted using a panel of only 3 immunostains. The expression pattern of CD10, bcl-6, and MUM1 can be used to classify DLBCL into GCB and non-GCB subtypes. The antibodies selected for this study recognize molecules whose mRNA expression was highly associated with the GCB and non-GCB groups in cDNA microarray studiesref1, ref2, and are reactive in formalin-fixed, paraffin-embedded tissue. Compared with the cDNA microarray, this immunostain panel reproduced the gene expression results in 71% of GCB and 88% of non-GCB cases and predicted for survival in a similar manner. Immunohistochemical staining is already a widely used method and allows for the direct visualization and, therefore, evaluation of the neoplastic cells. On the other hand, gene expression methods require a fresh or frozen tumor sample, which is not available in many cases, and sometimes fail to yield results (6.6% of our cases). In addition, unless microdissection is performed, the tissue submitted for cDNA analysis contains not only tumor but also the associated nontumor tissue. If there is a significant amount of nontumor tissue present, the cDNA expression data may not reflect the gene expression profile of the tumor. In the current study, 22 cases were classified as GCB by the cDNA microarray but as non-GCB by the TMA. However, these 22 patients had a median survival of only 2.7 years and, therefore, behaved similarly to the other non-GCB cases. This finding suggests that those patients actually belong in the non-GCB group. The cDNA classification may have been inaccurate due to the presence of normal lymph node tissue or normal germinal centers in the cDNA sample, which could have biased the cDNA results. In addition, the amount of stromal tissue present in the cDNA sample may also have influenced the gene expression results. In these 22 discordant cases, the TMA classification appears to predict survival more accurately, which was likely due to our ability to directly visualize immunostaining of the tumor cells. Actual protein expression in the tumor cells is more likely to be predictive of outcome than mRNA expression, because these 2 parameters may not always correlate and the expression of protein is the ultimate effector of gene expression. However, because these findings need to be confirmed, we are unable to conclude at this time that the TMA classification is a better predictor than the cDNA microarray. Recently, the cDNA results from most of our cases were reclassified using an alternative algorithmref. This alternative method defined 3 groups designated as GCB, ABC, and unclassified. Of our 139 cases analyzed using this algorithm, 70 were classified as GCB, 44 as ABC, and 25 unclassified. The TMA classification had a sensitivity of 70% for the GCB group and 87% for the non-GCB group when using this alternative method, and the positive predictive value of the TMA classification was 84% for the GCB group and 74% for the non-GCB group. The survival outcomes of the cases were similar to those shown in Figures 3 and 4, thus reaffirming the predictive value of our immunostain panel. The TMA is a cost-effective tool that allows the rapid evaluation of immunohistochemical staining of multiple tumors in a single tissue sectionref. Although the TMA is a research tool, TMA immunostaining results agree with whole tissue section staining in 86% to 100% of cases and, as the number of core samples increases, the level of agreement also increasesref1, ref2. By using 4 core samples from each case, the agreement between TMA and whole section staining is 97% to 100%ref. Furthermore, when compared with whole section immunohistochemistry, there is better consistency in the immunostaining between cases because most cases are located on the same TMA section. Quantitation of the staining results is also easier because each tissue core can be completely viewed under one intermediate-power microscopic field, and each case can be evaluated in a matter of seconds. Furthermore, use of a TMA preserves the tissue in the paraffin blocks for future studies. CD10 is a membrane-associated, neutral endopeptidase that is expressed in a variety of human tissues, but has a restricted expression in the germinal center cells of reactive lymphoid tissuesref. Previous studies using flow cytometry have suggested that CD10 expression in DLBCL may predict for inferior survivalref1, ref2, especially in conjunction with bcl-2 expressionref. However, these studies included only a limited number of patients with short clinical follow-up. Another report of CD10 expression using flow cytometry or immunostaining in DLBCL found that patients with low IPI scores and CD10 expression had a significantly better OSref, whereas other studies have found no difference in outcome for patients with DLBCL that express CD10ref1, ref2, McClure RF, 244a. However, in the study by Colomo and colleaguesref, the CD10+ cases were significantly more likely to have advanced-stage disease, which may have negated any predictive value of CD10 expression. Some studies using immunohistochemical methods have found CD10 expression to be associated with significantly improved OSref1, ref2, ref3, McClintock S, 244a. Like-wise, CD10 expression predicts for better OS. However, given the variability of outcomes in these retrospective studies, it is doubtful that CD10 alone can be used to predict survival in DLBCL. Bcl-6 is a zinc-finger protein that acts as a transcriptional repressorref56 and is expressed in germinal center B cells and a subset of CD4+ T cellsref1, ref2, ref3, ref4. Gene rearrangements involving bcl-6 have been detected in 16% to 37% of DLBCL, but most studies have found no difference in outcomeref1, ref2, ref3, ref4, ref6. One study found bcl-6 rearrangement to predict for better OSref, whereas 2 other studies have found it to predict for worse OSref1, ref2. However, studies of bcl-6 rearrangements do not identify all of the DLBCL cases that overexpress bcl-6, because some mutations of the bcl-6 gene may also result in overexpressionref1, ref2.59,60 Immunohistochemical studies of bcl-6 expression and its relationship to outcome in DLBCL are limited in number. A recent study reported no difference in OS related to bcl-6 expressionref, whereas another study found bcl-6 expression to be associated with a better EFS but not OS.18 Other studies have reported that bcl-6 expression predicts for better OSref1, ref2, ref3. Bcl-6 expression by immunohistochemistry predicts for both better OS and EFS. Furthermore, bcl-6, in conjunction with CD10 and MUM1, is a useful marker to identify the GCB phenotype. However, some cases of DLBCL that express bcl-6 and MUM1 have an ABC gene expression pattern. Although these cases express bcl-6, the outcome is most likely to be that of the ABC subtype, and this may explain why there are discrepancies in outcome prediction when using bcl-6 expression alone. The cases in this study were investigated using a polyclonal anti–bcl-6 antibody. More recently, a monoclonal antibody (clone PG-B6p), which is also suitable for detection of the bcl-6 molecule in routine biopsies, has become commercially available. The monoclonal antibody should facilitate future tissue microarray studies because of its high specificity, absence of background staining, and the good reproducibility of immunostaining results between different centersref. MUM1/IRF-4 is a lymphoid-specific member of the interferon regulatory factor family of transcription factorsref. MUM1 is normally expressed in plasma cells and a minor subset of germinal center cells, and has been reported in 50% to 77% of DLBCLsref1, ref2, ref3. Although a recent study found no association between MUM1 expression and OSref, we found that expression of MUM1 in at least 30% of tumor cells is associated with a significantly worse OS and EFS. Others have also found MUM1 to be predictive of worse survivalMcClintock S, 244a, Trzpuc T, 267a. Expression of MUM1 may denote the final step of germinal center B-cell differentiation with subsequent B-cell maturation toward plasma cellsref. Given this biologic function, it appears that MUM1 has potential to be a marker of the non-GCB phenotype. Indeed, when used in conjunction with CD10 and bcl-6, we found that MUM1 identified cases of the non-GCB phenotype. The prognostic value of bcl-2 expression in DLBCL is controversial. By Southern blot analysis, the presence of bcl-2 gene rearrangement does not appear to be predictive of survivalref1, ref2, ref3, ref4, ref6, ref7, ref8, ref9, ref10 with only one study reporting worse survivalref. In fact, some studies suggest that patients with bcl-2 gene rearrangements have better survivalref1, ref2 Multiple studies have looked at the expression of bcl-2 using immunostains and most have found no difference in OSref1, ref2, ref3, ref4, ref6, ref7, ref8, ref9, ref10. Some studies have found that bcl-2 expression is associated with a significantly worse OSref1, ref2, ref3, ref4, ref6, ref7, ref8. However, one of these studies included T-cell lymphomas13 and, in 2 studies, the bcl-2+ group had higher stage diseaseref1, ref2. A number of studies have found bcl-2 expression to correlate with worse EFSref1, ref2, ref3, ref4, ref6. In the cDNA studyref, a 4-fold increase of bcl-2 mRNA was more common in the ABC group (71%) compared with the GCB group (29%), but we did not find a significant difference in the expression of bcl-2 protein between the GCB and non-GCB groups in this study. However, mRNA expression does not always translate to protein expression. Other studies using an immunohistochemical panel that classified DLBCL into GCB and non-GCB groups have also found no difference in the expression of bcl-2 protein between these 2 groupsref1, ref2. These studies reported bcl-2 expression in 50% to 67% of GCB and 45% to 62% of non-GCB casesref1, ref2. Similarly, we found that bcl-2 was expressed in 59% of the GCB group and 43% of the non-GCB group. Bbcl-2 expression by itself had no prognostic effect on OS or EFS. However, when used in conjunction with the TMA subclassification, expression of bcl-2 was associated with a significantly worse outcome in the non-GCB group, but not in the GCB group. FOXP1 is a winged-helix transcription factor that acts as a transcriptional repressorref1, ref2. It is expressed in a wide variety of normal and neoplastic tissues, including a subset of DLBCLref. In reactive lymphoid tissues, FOXP1 is seen in a variable proportion of B cells, both within and outside the germinal centers, but it does not stain plasma cellsref. One group has reported an inverse correlation between FOXP1 and bcl-6 expression in DLBCLJones M, 332a. By immunohistochemical staining, we found FOXP1 expression in 61% of DLBCL. Within the TMA subgroups, FOXP1 was expressed more often in the non-GCB group (71% of cases) than in the GCB group (48% of cases). However, FOXP1 expression had no effect on OS or EFS when evaluated alone or within the context of IPI scores or the TMA subclassification. Cyclin D2 is a cell cycle regulatory protein that is reported to be expressed in 27% of DLBCLs by immunohistochemical stainingref. However, another study found no evidence of genomic amplification of the cyclin D2 gene in 24 cases of DLBCLref. No studies to date have evaluated the prognostic significance of cyclin D2 expression in DLBCL. Expression of cyclin D2 was found in 14% of DLBCLs. However, all of these patients were in the non-GCB subgroup and they had a very poor clinical outcome with a median survival of only 1 year. Only 2 of the 19 patients were alive at 5 years. Additional studies evaluating the prognostic value of cyclin D2 expression in DLBCL are needed to confirm our preliminary findings. A recent study similar to ours used the coexpression of CD10 and bcl-6 to determine the "GC phenotype," and found that it was predictive of better OSref. However, by using this more limited approach, some GCB cases that mark with either CD10 or bcl-6 alone would be inaccurately classified as non-GCB. In our study, this method would have misclassified 28 GCB patients as non-GCB, because these cases were positive for either CD10 or bcl-6, but not both. Although it may be useful to identify patients who will perform better with current therapy, it is perhaps more important to accurately identify those patients who will do poorly in order to provide more aggressive therapy at the time of diagnosis. To accurately subdivide DLBCL, markers predictive of both the GCB and non-GCB phenotypes should be used. Another study similar to ours using an immunostain panel of CD10, bcl-6, MUM1, and CD138 was recently published,31 but did not find a survival difference between the GCB and non-GCB patients. However, the cases expressing CD10 were significantly more likely to have advanced stage (Ann Arbor stage III or IV) disease compared with those who were negative for CD10. This clinical difference may account for their inability to find a survival difference between CD10+ and CD10– cases and, in turn, GCB and non-GCB cases. In addition, 14% of the patients included in that study did not receive an anthracycline-containing chemotherapy regimen. Recently, another group reported that the combination of CD10, bcl-6, MUM1, and CD138 could identify 2 prognostic subgroups in DLBCLMcClintock S, 244a. Similarly, we found that CD10, bcl-6, and MUM1 expression could subclassify DLBCL into GCB and non-GCB groups. In addition to the IPI score, our immunostain panel was an independent predictor of survival in multivariate analysis. The expression of CD10, bcl-6, MUM1, bcl-2, and cyclin D2 are each predictive of survival in DLBCL, and that the results for CD10, bcl-6, and MUM1 can be combined to divide DLBCL into GCB and non-GCB subgroups with an outcome similar to that predicted by cDNA microarray analysis. In fact, this latter panel of immunostains predicted the cDNA classification in 71% of GCB and 88% of ABC or type 3 cases. However, these findings need to be confirmed and more studies comparing gene expression and protein expression are clearly needed. Currently, the number of immunohistochemical markers available for delineating prognostic groups is rather limited. As new antibodies for GCB- and ABC-specific proteins or other markers are developed for immunohistochemistry, additional studies would be of interest. If such studies are confirmatory, a panel of immunohistochemical stains could be used to stratify patients for risk-adjusted therapies. In particular, patients with the non-GCB phenotype, especially those with high IPI scores or with tumors expressing bcl-2 or cyclin D2, could be identified prospectively for more aggressive or experimental therapiesref.- germinal center B-cell–like (GCB)
- activated B-cell–like (ABC)
- type 3 gene expression profiles was subsequently added to reflect the heterogeneity of DLBCL in gene expressionref1, ref2
2 of these signatures (MHC class II and lymph node) suggested that the host response to lymphoma cells may be a crucial determinant of survival. The MHC class II gene-expression signature in particular suggested that antigen presentation to the immune system has a role in therapeutic responses, since loss of MHC class II expression was strikingly correlated with poor patient outcome. These results extended previous immunohistochemical studies of protein expression in aggressive lymphomas (DLBCL and Burkitt) in which several groups of investigators related loss of cellular adhesion molecules, such as ICAMs, and LFA-1, LFA-3ref1, ref2, ref3, and loss of MHC class II proteinsref1, Rybski JA, 31-38, ref3 to poor outcome. Some of these studies and others related poor outcome to loss of immunosurveillanceref1, ref2, ref3, ref4. In particular, some authors have described loss of tumor-infiltrating T cells (T-TILs), including CD8+ T cells, further suggesting that aberrant loss of CAM and/or MHC class II expression equated with deficient host response and tumor containmentref1, ref2, ref3, ref4, ref5. Other investigators have successfully used a microarray study with supervised learning classification techniques to subdivide DLBCL into prognostic groups not recognized by the clinical IPI scoring system. The LLMPP database is one of the first large, multi-institutional, publicly available microarray databases of gene expression in any type of lymphomaref1, ref2. As such, it is an extremely valuable resource for detailed investigation. Loss of MHC class II gene expression is an independent prognostic variable, even after adjusting for the IPI score, and the poor survival of patients lacking MHC class II gene expression cannot be explained by differences in HIV status, tumor location, or histologic subtype. Losses of MHC class II genes, including HLA-DRA, are continuous variables related in a nonlinear fashion to the hazard risk of death. IHC protein stains correlated with the microarray gene expression data in 20 of 22 MHC class II+ and MHC class II- cases tested, indicating a good correlation between gene expression and protein presence. In 2 of the 10 MHC class II- cases, localization of the HLA-DR protein within the cell cytoplasm, as opposed to the usual cell membrane location, was observed. Since the storage, antigenic loading, and shuttling of MHC class II proteins to the cell surface is a complex process involving invariant chain, lysozomes, and cathepsin S, this apparent inconsistency may indicate aberrant structure, function, or trafficking of the proteins in these casesref1, ref2, ref3. Possibly most important from a pathologic standpoint, in all 10 of the cases with low HLA-DRA expression by microarray, including the 2 with unusual protein staining, the % of CD8+ tumor-infiltrating lymphocytes assessed by IHC were extremely low, suggesting diminished immunosurveillance. This relationship between low TILs and negative HLA-DRA status is in agreement with previous studies of aggressive non-Hodgkin lymphomaref1, ref2, ref3. In the immune response, cytotoxic T cells (CD8+) react to antigens presented by MHC class I molecules found ubiquitously on nearly every nucleated cell type. MHC class II antigens are present on only a few types of antigen-presenting cells (including B cells, macrophages, and dendritic cells) and provoke a T-helper (CD4+) cell response. The T-helper response in turn assists the T-cytotoxic response. While assessment of CD4+ cell response may be a more proximal measure of loss of immune surveillance by MHC class II-deficient tumor cells, assessment of CD8+ cells reflects the final common pathway of cell-mediated tumor cell death. Furthermore, the T-helper population consists of several subtypes, and CD4 is present on macrophages, making quantification in tissue sections more problematic. The area of fewest T-TILs in the tissue sections should be quantified, with the reasoning that if any portion of the tumor escaped immunosurveillance, there would be an increased risk of progression or relapse : decreased numbers of CD8+ T-TILs are highly predictive of patient survival. Several models of human lymphoma have been established in immunodeficient mice (either SCID or irradiated) with the use of immortalized cell lines, primary tumor samples, or peripheral blood mononuclear cells from EBV-seropositive donorsref1, ref2, ref3, ref4, ref5, ref6, ref7. T cells derived from autologous, allogeneic, or CTL lines have been effective in eradicating a variety of human-SCID mouse xenografts of lymphoma, carcinoma, and melanomaref1, ref2, ref3, ref4, ref5, ref6, ref7. The activity of human CTLs against specific tumors can be augmented in vitro, prior to reintroduction to the mouse-human xenograft, by repeated stimulation with tumor cells or IL-2ref1, ref2, ref3. CTLs stimulated by exposure to tumor were shown to act in an HLA-restricted fashion in a human-mouse lymphoblastic leukemia modelref. Examination of the tumor mass demonstrated infiltration by CD8+ T cells in human-mouse xenografts of colon cancerref. Importantly, T-cell subset depletion studies demonstrated that CD8+ cells were the critical subset in tumor suppression in head and neck carcinomaref. These studies indicate that the antitumor activity of cytotoxic CD8+ T cells is dependent on appropriate HLA expression and can be a significant pathway in tumor containment for in vivo mouse models. Work by other authors examined sequential biopsies from 9 patients with various tumors, including 1 NHL. After treatment of these tumors with IL-2- proliferation
- MHC class II
- lymph node (host response)
- germinal center differentiation

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