Immunohistochemical analysis of B-cell lymphoma using tissue microarrays identifies particular phenotypic profiles of B-cell lymphomas

Activity of tafasitamab in combination with rituximab in subtypes of aggressive lymphoma

Background

Despite recent advances in the treatment of aggressive lymphomas, a significant fraction of patients still succumbs to their disease. Thus, novel therapies are urgently needed. As the anti-CD20 antibody rituximab and the CD19-targeting antibody tafasitamab share distinct modes of actions, we investigated if dual-targeting of aggressive lymphoma B-cells by combining rituximab and tafasitamab might increase cytotoxic effects.

Methods

Antibody single and combination efficacy was determined investigating different modes of action including direct cytotoxicity, antibody-dependent cell-mediated cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP) in in vitro and in vivo models of aggressive B-cell lymphoma comprising diffuse large B-cell lymphoma (DLBCL) and Burkitt lymphoma (BL).

Results

Three different sensitivity profiles to antibody monotherapy or combination treatment were observed in in vitro models: while 1/11 cell lines was primarily sensitive to tafasitamab and 2/11 to rituximab, the combination resulted in enhanced cell death in 8/11 cell lines in at least one mode of action. Treatment with either antibody or the combination resulted in decreased expression of the oncogenic transcription factor MYC and inhibition of AKT signaling, which mirrored the cell line-specific sensitivities to direct cytotoxicity. At last, the combination resulted in a synergistic survival benefit in a PBMC-humanized Ramos NOD/SCID mouse model.

Conclusion

This study demonstrates that the combination of tafasitamab and rituximab improves efficacy compared to single-agent treatments in models of aggressive B-cell lymphoma in vitro and in vivo.

Immunoglobulin D (IgD) and IgD receptor expression in diffuse large B-cell lymphoma

Objective: Immunoglobulin D (IgD) levels are often elevated in patients with autoimmune diseases. However, the oncogenic activities of IgD and IgD receptor (IgDR) in diffuse large B-cell lymphoma (DLBCL) have not been reported in detail. Therefore, we aimed to investigate the expression of IgD and IgDR in patients with DLBCL. Methods: Membrane IgD (mIgD) and IgDR expression in tissue samples was analyzed using IHC, mIgD and IgDR expression on peripheral blood mononuclear cells (PBMCs) was analyzed by FCM, and secreted IgD (sIgD) level was analyzed by ELISA. Fisher's exact test and Spearman correlation analysis were used to evaluate the relationship between IgD, IgDR, and clinical parameters. Results: The pathological lymph nodes of 34 patients with DLBCL were studied, and mIgD and IgDR expression was found in 16 and 19 patients. mIgD and IgDR expression was upregulated in patients with DLBCL and mIgD expression was significantly associated with IgDR expression. Further correlation analysis showed that mIgD expression was correlated with serum β₂-MG level and Hans algorithm as germinal center B (GCB), whereas IgDR expression correlated with serum LDH level, IPI score and GCB. ELISA showed that sIgD level was significantly increased in DLBCL patients and it correlated with serum β₂-MG and LDH levels. FCM showed that mIgD and IgDR expression in PBMCs of patients with DLBCL was significantly higher than that in healthy controls. Conclusion: Our findings suggest that overexpression of IgD and IgDR is an abnormal activation state in DLBCL.

Tissue microarrays: fast-tracking protein expression at the cellular level

Tissue microarrays maximize returns in cellular pathology whilst minimizing the use of cells and tissues. They are made by arraying cores of tissue taken from multiple donor blocks into a single recipient block. Accordingly, the histology and pathology of several hundred tissues can be represented in one tissue microarray that, when stained by immunohistochemistry, provides comprehensive topographic information on protein expression. Used with complimentary techniques, such as complementary DNA microarray analysis, tissue microarrays are providing valuable data for the identification of new markers of disease and assisting in the discovery of therapeutic targets. They are also leading a revolution in cellular pathology as high-throughput technology is introduced to maximize the information provided.

High frequency of MYC gene amplification is a common feature of radiation-induced sarcomas. Further results from EORTC STBSG TL 01/01

Irradiation is a major causative factor among the small subgroup of sarcomas with a known etiology. The prognosis of radiation-induced sarcomas (RIS) is significantly worse than that of their spontaneous counterparts. The most frequent histological subtypes include undifferentiated pleomorphic sarcomas, angiosarcomas, and leiomyosarcomas. A high frequency of MYC amplifications in radiation-induced angiosarcomas, but not in primary angiosarcomas, has recently been described. To investigate whether MYC amplifications are also frequent in RIS other than angiosarcomas, we analyzed the MYC amplification status of 83 RIS and 192 sporadic sarcomas by fluorescence in situ hybridization. We found significantly higher numbers of MYC amplifications in RIS than in sporadic sarcomas (P < 0.0001), especially in angiosarcomas, undifferentiated pleomorphic sarcomas, and leiomyosarcomas. Angiosarcomas were special in that MYC amplifications were particularly frequent and always high level, while other RIS showed low-level amplifications. We conclude that MYC amplifications are a frequent feature of RIS as a group and may contribute to the biology of these tumors.

CD99 expression and newly diagnosed diffuse large B-cell lymphoma treated with rituximab-CHOP immunochemotherapy

In order to evaluate prognostic value of CD99 expression in patients with diffuse large B-cell lymphoma (DLBCL) who underwent treatment with rituximab-CHOP immunochemotherapy, immunohistochemistry for CD99/CD10/BCL-2/BCL-6/MUM-1 was performed on nodal DLBCL specimens from 70 patients. Patients were classified as either germinal center B-cell (GCB) subtype or non-GCB subtype according to the Muris algorithm. A superior 2-year event-free survival (EFS) was observed in patients with the GCB subgroup, compared to those with the non-GCB subgroup (p = 0.034). The distribution of CD99 expression (29 patients; 41.4 %) did not show deviation according to subtype and was not prognostic for survival in the entire patient population. Among patients with the GCB subgroup, better EFS and overall survival (OS) were observed in CD99+ patients, compared to CD99- patients. Conversely, among patients with the non-GCB subgroup, inferior EFS and OS were reported in CD99+ patients. Superior 2-year EFS (p = 0.004) and 2-year OS (p = 0.003) were observed in patients with GCB/CD99+ and non-GCB/CD99- compared to the others, and the combination classification was found to be an independent prognostic factor.

Desmosomal plakophilins in the prostate and prostatic adenocarcinomas: implications for diagnosis and tumor progression

The plakophilins, members of the armadillo-repeat family, consist of three different proteins (PKP1-3) that are specifically recruited to desmosomal plaques in a highly cell type-specific manner. Using immunofluorescence, immunoelectron microscopy, and immunoblot, we found that all three plakophilins occurred in luminal and basal cells of the pseudostratified prostate epithelium. The analysis of 135 cases of prostatic adenocarcinomas grouped into tumors with low (Gleason score < or = 6), intermediate (Gleason score 7), and high Gleason score (8 < or = Gleason score < or = 10) showed that the expression of PKP1 was reduced or lost in adenocarcinomas with high Gleason scores. The expression of PKP2 was unchanged in all prostatic adenocarcinomas analyzed. In contrast, PKP3 expression was increased in carcinomas with high Gleason scores in comparison with carcinomas with low Gleason scores. In DU 145 cell lines with either overexpression or knockdown of PKP3, both imbalances resulted in fewer desmosomal cell contacts. In addition, overexpression of PKP3 in DU 145 cells led to an augmentation in proliferation rate. Our data imply that both loss of PKP1 and up-regulation of PKP3 expression are biologically important events in prostate cancer and are associated with a more aggressive phenotype.

Validation of tissue microarray immunohistochemistry staining and interpretation in diffuse large B-cell lymphoma

Tissue microarrays (TMAs) show concordance with whole tissue sections in the immunohistochemical evaluation of tumor cells. However, potential inter-institutional variability among observers and immunohistochemical staining methods has not been fully addressed. We selected 21 cases of diffuse large B-cell lymphoma (DLBCL) to process for TMAs. Immunohistochemical stains were performed in 3 laboratories, and reviewed independently by 3 hematopathologists at the 3 institutions. Stains were scored on a 4-point scale. Statistical analyses of variation in the scoring among observers and among different institutions' stains were performed. Stains for CD3, CD10, CD20, BCL-2, BCL-6, MIB-1, and FOX-P1 revealed little variation among observers, with an average 51-82% complete agreement and 82-100% agreement +/- 1 numerical score. The rate of concordance when evaluating most stains performed in different laboratories was also relatively good, with an average of 55-72% complete agreement and 70-97% agreement +/- 1 score. However, scoring of MUM-1 and p53 stains showed wider variation, with an average of only 37 and 30% complete agreement among observers, and 11 and 45% agreement when stains from different institutions were examined. Further statistical analyses were performed to compare the observers' scoring of their own institution's stains (self-review) vs. observers' scoring of other institutions' stains (non-self). The agreement rate for the p53 stain was significantly higher when based on self-review (average 58% complete agreement) compared with an agreement rate of only 10.5% when based on a review of stains performed in another laboratory, non-self review, P < 0.01. This difference in the self- vs. non-self review was not seen when data for MUM-1 were analysed. In conclusion, most phenotypic markers used in the analysis of DLBCL can be evaluated in TMAs with adequate agreement among observers and laboratories. These include CD3, CD20, CD10, BCL-2, BCL-6, MIB-1, and FOX-P1. However, some markers, such as p53 and MUM-1, are more prone to inter-institutional variation. Variations in interpretation can be partially overcome by self-adjusted/adapt tendency, as seen with p53. Especially with newly developed markers, such as MUM-1, the development of standardized techniques for staining and interpretation is critical to reduce inter-observer variability.

Quantification of diverse subcellular immunohistochemical markers with clinicobiological relevancies: validation of a new computer-assisted image analysis procedure

Tissue microarray technology and immunohistochemical techniques have become a routine and indispensable tool for current anatomical pathology diagnosis. However, manual quantification by eye is relatively slow and subjective, and the use of digital image analysis software to extract information of immunostained specimens is an area of ongoing research, especially when the immunohistochemical signals have different localization in the cells (nuclear, membrane, cytoplasm). To minimize critical aspects of manual quantitative data acquisition, we generated semi-automated image-processing steps for the quantification of individual stained cells with immunohistochemical staining of different subcellular location. The precision of these macros was evaluated in 196 digital colour images of different Hodgkin lymphoma biopsies stained for different nuclear (Ki67, p53), cytoplasmic (TIA-1, CD68) and membrane markers (CD4, CD8, CD56, HLA-Dr). Semi-automated counts were compared to those obtained manually by three separate observers. Paired t-tests demonstrated significant differences between intra- and inter-observer measurements, with more substantial variability when the cellular density of the digital images was > 100 positive cells/image. Overall, variability was more pronounced for intra-observer than for inter-observer comparisons, especially for cytoplasmic and membrane staining patterns (P < 0.0001 and P = 0.050). The comparison between the semi-automated and manual microscopic measurement methods indicates significantly lower variability in the results yielded by the former method. Our semi-automated computerized method eliminates the major causes of observer variability and may be considered a valid alternative to manual microscopic quantification for diagnostic, prognostic and therapeutic purposes.

Common cellular and diverse genetic basis of thymoma-associated myasthenia gravis: role of MHC class II and AIRE genes and genetic polymorphisms

Generation of autoreactive CD4(+) effector T cells and defective production of regulatory CD4(+) T cells inside thymomas contribute to the development of myasthenia gravis (MG) in >90% of MG(+) thymomas. The molecular basis of these abnormalities is unknown. We report here that a) expression levels of class II major histocompatibility complex (MHCII) genes are variably decreased in thymomas, most prominently in histological WHO types A and AB; b) epithelial cells of type A and AB thymomas exhibit signal transducer and activator of transcription (STAT-1)-related defects of interferon-gamma (IFN-gamma) signaling and human leukocyte antigen (HLA)-DR expression in vitro; c) the promoter III (pIII)- and pIV-driven splice variants of the MHCII transactivator (CIITA) play a key role in MHCII gene expression in thymus and thymomas; and d) the pIV CIITA promoter is heavily methylated in thymomas. Recently, we also found that expression of the autoimmune regulator (AIRE) gene is absent from approximately 95% of thymomas. Among all theses abnormalities, only better preserved expression levels of MHCII (P < 0.001) in thymomas were significantly associated with the presence of MG. Taking the association of a gain-of-function polymorphism of the CTLA-4 and PTPN22 gene with MG in thymomas into account, we conclude that these acquired cellular abnormalities of the thymoma microenvironment in concert with inherited genetic high-risk polymorphisms of immunoregulatory genes have an impact on intratumorous thymopoiesis and appear to tip the balance toward central tolerance failure and development of MG. The findings imply that IFN-gamma and STAT-1 signaling play a role in MHCII expression in the human thymus and in the pathogenesis of paraneoplastic MG.

Tissue microarray is inappropriate for analysis of BCL6 expression in diffuse large B-cell lymphoma

OBJECTIVE

In this study, our aim was to investigate how different immunohistochemical techniques may influence the result of BCL6 positivity and categorization in germinal center (GC) and non-GC derived diffuse large B-cell lymphoma (DLBCL), as it has been proposed that classification of DLBCL according to cell-of-origin by immunohistochemistry may be performed as a routine procedure in the diagnostic work-up. However, a number of technical issues need to be solved before introducing this as a standard technique.

METHODS

Tumor specimens from 122 patients with de novo stage II-IV disease, adequately treated with anthracycline-containing chemotherapy regimens were collected. Immunohistochemical expression of BCL6, CD10, and MUM-1/IRF4 was examined using a tissue microarray (TMA) technique. BCL6 and CD10 were also evaluated on whole tissue sections.

RESULTS

Due to profound tissue heterogeneity, BCL6 showed a wide range of positivity, with a high number of false negative results by TMA (25% positive), compared to 53% on whole tissue sections (WTS). CD10 was more homogeneously expressed, and TMA results corresponded better to WTS. Consequently, the results from categorization into GC and non-GC DLBCL differed considerably by use of the two methods, and resulted in very different outcome in terms of overall survival.

CONCLUSION

Immunohistochemical GC-status determined on TMA is not reliable enough to be used for individual treatment decisions in DLBCL, mostly due to difficulties in interpreting BCL6 status.

A Comprehensive Test System to Identify Suitable Antibodies Against p53 for Immunohistochemical Analysis of Canine Tissues

The tumour suppressor p53 is commonly detected in tissues of companion animals by means of antibodies raised against the human protein. The following three-step procedure was devised to test the suitability of such antibodies for immunohistochemistry on canine tissues. (1) Western blot and immunohistochemical analyses on bacterially expressed recombinant canine protein to assess human-to-canine cross-reactivity. (2) Immunohistochemistry of cultured, UVB-irradiated canine keratinocytes to evaluate suitability for detection of endogenous p53. (3) Immunohistochemistry on tissue arrays to further substantiate suitability of the antibodies on a panel of normal and neoplastic human and canine tissues. Five of six antibodies cross-reacted with recombinant canine p53. Three of these (PAb122, PAb240, CM-1) also immunolabelled stabilized wild type p53 in cell cultures and elicited a consistent, characteristic labelling pattern in a subset of tumours. However, two alternative batches of polyclonal antibody CM-1 failed to detect p53 in cell cultures, while showing a characteristic labelling pattern of a completely different subset of tumours and unspecific labelling of normal tissues. The test system described is well suited to the selection of antibodies for immunohistochemical p53 detection. The results emphasize the need to include appropriate controls, especially for polyclonal antibodies.

The oncoprotein LMO2 is expressed in normal germinal-center B cells and in human B-cell lymphomas

We previously developed a multivariate model based on the RNA expression of 6 genes (LMO2, BCL6, FN1, CCND2, SCYA3, and BCL2) that predicts survival in diffuse large B-cell lymphoma (DLBCL) patients. Since LMO2 emerged as the strongest predictor of superior outcome, we generated a monoclonal anti-LMO2 antibody in order to study its tissue expression pattern. Immunohistologic analysis of over 1200 normal and neoplastic tissue and cell lines showed that LMO2 protein is expressed as a nuclear marker in normal germinal-center (GC) B cells and GC-derived B-cell lines and in a subset of GC-derived B-cell lymphomas. LMO2 was also expressed in erythroid and myeloid precursors and in megakaryocytes and also in lymphoblastic and acute myeloid leukemias. It was rarely expressed in mature T, natural killer (NK), and plasma cell neoplasms and was absent from nonhematolymphoid tissues except for endothelial cells. Hierarchical cluster analysis of immunohistologic data in DLBCL demonstrated that the expression profile of the LMO2 protein was similar to that of other GC-associated proteins (HGAL, BCL6, and CD10) but different from that of non-GC proteins (MUM1/IRF4 and BCL2). Our results warrant inclusion of LMO2 in multivariate analyses to construct a clinically applicable immunohistologic algorithm for predicting survival in patients with DLBCL.

Prognostic evaluation of nodal diffuse large B cell lymphoma by immunohistochemical profiles with emphasis on CD138 expression as a poor prognostic factor

Recently diffuse large B cell lymphoma (DLBCLs) was reported to be subdivided into germinal center B-cell-like (GCB) and activated B-cell-like (ABC) subgroups by using cDNA microarray and immunohistochemical markers. Tissue microarray blocks were created from 51 nodal DLBCLs with control tissue. Immunohistochemical staining for the above markers were performed. The median follow-up period was 26 months. Nodal DLBCLs were subclassified into GCB [CD10+ or CD10-/Bcl-6+/MUM1-, n=17 (33%)] and non-GC subgroups [CD10-/Bcl-6- or CD10-/Bcl-6+/MUM1+, n=35 (67%)], and were alternatively subclassified into pattern A [+ for GCB marker only, n=12 (23%)], B [Co-positive for both markers, n=13 (33%)], C [+ for activation marker only, n=18 (35%)], and D [- for both markers, n=9 (17%)]. Upon survival analysis, the GCB groups showed a relatively better survival than non-GC groups (p=0.0748). Also, pattern C (p=0.0055) and CD138+ (p=0.0008) patients had significantly lower survival rates. By multivariate analysis, CD138 expression alone was considered as an independent risk factor (p=0.031). In summary, our results add to the registration of prognostic implications for previously reported DLBCL subgroups. CD138 may play an important role as a poor prognostic marker. By using immunohistochemistry, a prognostically important subclassification of DLBCLs is possible.

Tissue microarray technology: principles, pitfalls and perspectives--lessons learned from hematological malignancies

Detection, validation and incorporation into clinical use of new diagnostic, prognostic and therapeutic molecular targets in modern medical science should be time- and cost-efficient. Here, we discuss the principles, advantages, disadvantages and possible pitfalls of tissue microarray (TMA) technology, a powerful tool for high throughput large-scale morphological in situ analysis of molecular targets. Based on recent observations from molecular profiling of hematological malignancies, we review potential TMA applications assessing molecular targets in large collectives of tissue specimens.

Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics

Over the past few years, tissue microarray (TMA) technology has been established as a standard method for assessing the expression of proteins or genes across large sets of tissue specimens. It is being adopted increasingly among leading research institutions around the world and utilized in cancer research in parallel with the cDNA microarray technology. This article summarizes various aspects of cancer understanding and diagnostics in which TMA has had great impact. Although tremendous advances continue to be made to facilitate imaging and archiving of TMA specimens, automatic evaluation and quantitative analysis of TMA still remains an important challenge for modern investigators.

Tissue microarray of head and neck squamous carcinoma: validation of the methodology for the study of cutaneous fatty acid-binding protein, vascular endothelial growth factor, involucrin and Ki-67

Tissue microarrays allow the simultaneous analysis of many tumours using small-diameter cores sampled from larger blocks of tissue, but may be limited by tumour heterogeneity. This study considers the validation of tissue microarray for the study of four molecules of interest as prognostic factors in head and neck squamous carcinoma, including a consideration of methods for assessing immunocytochemical scoring of microarrays. Tissue microarray blocks were constructed from 100 cases of head and neck squamous carcinoma, taking four cores from different areas of each tumour. Immunocytochemical labelling was performed for cutaneous fatty acid binding protein, involucrin, vascular endothelial growth factor and Ki-67. The extent and intensity of scoring was determined for each core and the degree of agreement determined for results from the assessment of two, three or four cores for each carcinoma. In a subset of 30 representative cases, the labelling in the tissue microarrays was compared with that in whole-tissue sections of the same carcinomas. An adequate sample of carcinoma was achieved in more than 90% of the 400 cores; unsuccessful results were attributed to uneven core alignment or to poor targeting of the tumour tissue in the donor blocks. The degree of agreement in the assessment of extent and intensity of labelling was moderate to good (weighted kappa, range 0.479-0.902) between whole-tissue sections and microarray sections depending on the antigen and the scoring system. Tissue microarray is a reliable tool to demonstrate cellular and molecular alterations in head and neck squamous carcinomas. We recommend using the mean results from four cores for biological studies, with analysis of categorical data based on quartile groups. Concordance with whole-tissue section data is reassuring, but data from microarrays need to be validated against clinical outcomes.

Expression and prognostic implications of cell cycle regulatory molecules, p16, p21, p27, p14 and p53 in germinal centre and non-germinal centre B-like diffuse large B-cell lymphomas

AIMS

To evaluate the different expression patterns and the prognostic significance of cell cycle regulatory molecules in diffuse large B-cell lymphomas (DLBCLs) of germinal centre (GC) and non-GC phenotypes.

METHODS AND RESULTS

Tissue microarray slides composed of 126 extranodal and 88 nodal DLBCLs were immunostained for p16, p21, p27, p14 and p53. DLBCLs were classified into GC and non-GC phenotype according to the immunohistochemical expression of bcl-6, CD10, and MUM1. Aberrant expression of p53 was more frequent in the GC phenotype in nodal cases (P = 0.038), and the loss of p16, p21 and p14 expression was significantly more common in the non-GC phenotype (P = 0.004, P = 0.001, P < 0.001). Concurrent disruptions of the p16-Rb and p14-p53 pathways as represented by the immunoprofile of p16/p14/p53 (-/-/+) were associated with a poor prognosis in the GC phenotype [mean survival 31 months in the p16/p14/p53 (-/-/+) group versus 62 months in the other groups, P =0.0485].

CONCLUSIONS

The expression and prognostic implications of cell cycle regulatory molecules differ between GC and non-GC phenotypes in DLBCLs. The immunoprofile of p16/p14/p53 (-/-/+) within the GC phenotype of DLBCLs can be defined as a poor prognostic subgroup.

Evaluation of immunophenotype in diffuse large B-cell lymphoma and its impact on prognosis

Diffuse large B-cell lymphoma (DLBCL) has been shown to be comprised of at least two prognostic entities, depending on its resemblance to normal germinal center or activated B cells, using global gene expression profiling. Also, the expression patterns of bcl-6, CD10 and IRF-4 (also known as MUM1) have been suggested as alternative means of identifying the germinal- and nongerminal center (activated B-cell like) groups. In the present study, we evaluated by immunohistochemistry the expression patterns of CD10, bcl-6, IRF-4 and bcl-2 in a large material of 161 DLBCL patients. Using two different approaches, patients with germinal center phenotype displayed a significantly better survival than the nongerminal center group. Positive staining for bcl-6 or CD10 predicted for superior survival, while expression of IRF-4 alone showed no association with prognosis. Furthermore, expression of bcl-2 was associated with worse event-free survival and overall survival. In a multivariate analysis, a high international prognostic index score (3-5), non-GC phenotype and bcl-2 were independent adverse prognostic factors. Here we confirm the prognostic importance of determining the germinal- or nongerminal center phenotype in patients with DLBCL.

Aggressive B-cell lymphomas: a review based on the workshop of the XI Meeting of the European Association for Haematopathology

The generic term aggressive B-cell lymphoma includes a variety of entities, each with particular diagnostic and therapeutic issues. To define these entities better and to help confront such issues, a workshop was organized by the European Association of Haematopathology (EAHP) and the Society of Haematology during the XI Meeting of the EAHP, held in Italy in May 2002. Participants were asked to submit cases under various categories and all cases submitted were examined and reviewed by the panel members. The panel's diagnoses formed the basis for discussion at the workshop and a limited number of cases were selected to be presented in more detail and discussed during the workshop. After the workshop the panel met again to discuss the outcome, summarized in this report, which describes the panel's proposals regarding diagnostic criteria, terminology, the definition of new entities and evaluation of biological differential and new prognostic parameters.

Tissue microarray: A valuable method in diagnosis and prognosis of hematological malignances

BACKGROUND: The novel technology of tissue microarray (TMA) allows rapid and cost-effective analysis of hundreds of markers on the same set of specimens. Limited amount of tissue that could be analyzed and problem of tissue heterogeneity, are the major drawbacks of TMA technique for immunohistochemical characterization of lymphomas. METHODS: In this paper 65 cases of lymphomas were analyzed using TMA with following panel of antibodies: BOB1, Oct2, Bcl2, Bcl6, CD20, CD21, CD23, CD3, CD5, CD10, CD43, CD79a, CD138, Cyclin D1, Ki67, MUM1, Pax5, p53. RESULTS: In 14 patients with diffuse large B-cell lymphoma (DLBCL), 5 were classified as germinative center and 3 as non-germinative center cases according to the Bcl6, CD10, and MUM1 positivity. Other 2 patients were identified as T cell rich B cell lymphoma based on morphology and Oct2 and BOB1 positivity of pleomorphic B lymphocytes. DLBCL with Bcl6+ immunophenotype had better overall survival than Bcl6- cases. All cases of classic mantle cell lymphoma had significantly lower Ki-67 proliferation index than blastoid subtypes. There were 14 cases of chronic lymphocytic leukemia/small cell lymphocytic lymphoma, 6 cases with follicular lymphoma, 5 cases of marginal zone lymphoma, and 7 cases of lymphoplazmacitoid lymphoma. In the indolent lymphoma group, survival of patients with p53+/- was poorer comparing to p53- group. CONCLUSION: We conclude that TMA technique is a valuable method in diagnosis and prognosis of lymphomas, which are considered very heterogeneous group of hematological neoplasms.