Laboratory Workup of Lymphoma in Adults.

OBJECTIVES: The diagnostic workup of lymphoma continues to evolve rapidly as experience and discovery lead to the addition of new clinicopathologic entities and techniques to differentiate them. The optimal clinically effective, efficient, and cost-effective approach to diagnosis that is safe for patients can be elusive, in both community-based and academic practice. Studies suggest that there is variation in practice in both settings. THE AIM OF THIS REVIEW IS TO: develop an evidence-based guideline for the preanalytic phase of testing, focusing on specimen requirements for the diagnostic evaluation of lymphoma. METHODS: The American Society for Clinical Pathology, the College of American Pathologists, and the American Society of Hematology convened a panel of experts in the laboratory workup of lymphoma to develop evidence-based recommendations. The panel conducted a systematic review of the literature to address key questions. Using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach, recommendations were derived based on the available evidence, the strength of that evidence, and key judgments as defined in the GRADE Evidence to Decision framework. RESULTS: Thirteen guideline statements were established to optimize specimen selection, ancillary diagnostic testing, and appropriate follow-up for safe and accurate diagnosis of indolent and aggressive lymphoma. CONCLUSIONS: Primary diagnosis and classification of lymphoma can be achieved with a variety of specimens. Application of the recommendations can guide decisions about specimen suitability, diagnostic capabilities, and correct utilization of ancillary testing. Disease prevalence in patient populations, availability of ancillary testing, and diagnostic goals should be incorporated into algorithms tailored to each practice environment.

Laboratory Workup of Lymphoma in Adults: Guideline From the American Society for Clinical Pathology and the College of American Pathologists.

CONTEXT.­: The diagnostic workup of lymphoma continues to evolve rapidly as experience and discovery led to the addition of new clinicopathologic entities and techniques to differentiate them. The optimal clinically effective, efficient, and cost-effective approach to diagnosis that is safe for patients can be elusive, in both community-based and academic practice. Studies suggest that there is variation in practice in both settings. OBJECTIVE.­: To develop an evidence-based guideline for the preanalytic phase of testing, focusing on specimen requirements for the diagnostic evaluation of lymphoma. DESIGN.­: The American Society for Clinical Pathology, the College of American Pathologists, and the American Society of Hematology convened a panel of experts in the laboratory workup of lymphoma to develop evidence-based recommendations. The panel conducted a systematic review of literature to address key questions. Using the Grading of Recommendations Assessment, Development, and Evaluation approach, recommendations were derived based on the available evidence, strength of that evidence, and key judgements as defined in the Grading of Recommendations Assessment, Development, and Evaluation Evidence to Decision framework. RESULTS.­: Thirteen guideline statements were established to optimize specimen selection, ancillary diagnostic testing, and appropriate follow-up for safe and accurate diagnosis of indolent and aggressive lymphoma. CONCLUSIONS.­: Primary diagnosis and classification of lymphoma can be achieved with a variety of specimens. Application of the recommendations can guide decisions on specimen suitability, diagnostic capabilities, and correct use of ancillary testing. Disease prevalence in patient populations, availability of ancillary testing, and diagnostic goals should be incorporated into algorithms tailored to each practice environment.

Detection of Polyclonal Increases in Immunoglobulin G4 Subclass by Distinct Patterns on Capillary Serum Protein Electrophoresis: Diagnostic Pitfalls and Clinical Observations in a Study of 303 Cases.

OBJECTIVES: Autoimmunity, hypersensitivity, and the recently recognized set of syndromes collectively termed immunoglobulin G4-related disease (IgG4-RD) may be associated with increased serum IgG4 levels. We reviewed our experience detecting increased IgG4 by distinct serum protein electrophoresis (SPEP) patterns. METHODS: We studied 303 capillary SPEP cases with dome-like anodal γ changes and increased measured serum IgG4. RESULTS: IgG4 ranged from 208 to 6,670 mg/dL (normal, <201 mg/dL). Seventeen of 91 cases evaluated by immunosubtraction appeared monotypic (16 κ, 1 λ), but all five cases further analyzed by isoelectric focusing appeared polyclonal. Six cases with markedly increased IgG4 had presumptive evidence of IgG4-RD. Sixteen of 45 assessed patients had autoantibodies. CONCLUSIONS: Increased polyclonal IgG4 has a characteristic SPEP pattern that may mimic monoclonal gammopathy, even on immunosubtraction. κ Pseudo-restriction might reflect the naturally high κ/λ ratio of the IgG4 subclass. Autoantibodies were common, and the greatest IgG4 increases had clinical features of IgG4-RD.

Immunophenotypic signatures of benign and dysplastic granulopoiesis by cytomic profiling.

BACKGROUND: The role of flow cytometry (FCM) in diagnosing myelodysplastic syndromes (MDS) remains controversial, because analysis of myeloid maturation may involve subjective interpretation of sometimes subtle patterns on multiparameter FCM. METHODS: Using six-parameter marker combinations known to be useful in evaluating the myeloid compartment in MDS, we measured objective immunophenotypic differences between non-neoplastic (n = 25) and dysplastic (n = 17) granulopoiesis using a novel method, called Fisher information nonparametric embedding (FINE), that measures information distances among FCM datasets modeled as individual high-dimensional probability density functions, rather than as sets of two-dimensional histograms. Information-preserving component analysis (IPCA) was used to create information-optimized "rotated" two-dimensional histograms for visualizing myelopoietic immunophenotypes for each individual sample. RESULTS: There was a consistent trend of segregation of higher-grade MDS (RAEB and RCMD) from benign by FINE analysis. This difference was accentuated in cases with morphologic dysgranulopoiesis and in cases with clonal cytogenetic abnormalities. However, lower grades of MDS or cases that lacked morphologic dysgranulopoiesis showed much greater overlap with non-neoplastic cases. Two cases of reactive left shift were consistently embedded within the higher-grade MDS group. IPCA yielded two-dimensional histogram projections for each individual case by relative weighting of measured cellular characteristics, optimized for preserving information distances derived through FINE. CONCLUSIONS: Objective analysis by information geometry supports the conclusions of previous studies that there are immunophenotypic differences in the maturation patterns of benign granulopoiesis and high grade MDS, but also reinforces the known pitfalls of overlap between low-grade MDS and benign granulopoiesis and overlap between reactive granulocytic left shifts and dysplastic granulopoiesis.

Interleukin-33 contributes to both M1 and M2 chemokine marker expression in human macrophages.

BACKGROUND: Interleukin-33 is a member of the IL-1 cytokine family whose functions are mediated and modulated by the ST2 receptor. IL-33-ST2 expression and interactions have been explored in mouse macrophages but little is known about the effect of IL-33 on human macrophages. The expression of ST2 transcript and protein levels, and IL-33-mediated effects on M1 (i.e. classical activation) and M2 (i.e. alternative activation) chemokine marker expression in human bone marrow-derived macrophages were examined. RESULTS: Human macrophages constitutively expressed the membrane-associated (i.e. ST2L) and the soluble (i.e. sST2) ST2 receptors. M2 (IL-4 + IL-13) skewing stimuli markedly increased the expression of ST2L, but neither polarizing cytokine treatment promoted the release of sST2 from these cells. When added to naïve macrophages alone, IL-33 directly enhanced the expression of CCL3. In combination with LPS, IL-33 blocked the expression of the M2 chemokine marker CCL18, but did not alter CCL3 expression in these naive cells. The addition of IL-33 to M1 macrophages markedly increased the expression of CCL18 above that detected in untreated M1 macrophages. Similarly, alternatively activated human macrophages treated with IL-33 exhibited enhanced expression of CCL18 and the M2 marker mannose receptor above that detected in M2 macrophages alone. CONCLUSIONS: Together, these data suggest that primary responses to IL-33 in bone marrow derived human macrophages favors M1 chemokine generation while its addition to polarized human macrophages promotes or amplifies M2 chemokine expression.

Immunomodulator agent-related lymphoproliferative disorders.

The recent development of inhibitors of key immune response proteins has revolutionized the therapy of autoimmune diseases; these immunomodulator agents include monoclonal antibodies and receptor antagonists. However, as with all therapies, these new agents are not without side effects and complications. In particular, anti-tumor necrosis factor alpha (TNFalpha) agents have been reported to be associated with an increased incidence of lymphoproliferative disorders, infections, and vasculitis. We evaluated the clinicopathological features of 18 cases of immunomodulator agent-related lymphoproliferative disorders (IAR-LPD) from several institutions. These included 6 cases of B-cell lymphoma, 2 cases of T-cell lymphoma, 3 cases of classical Hodgkin lymphoma, and 7 atypical lymphoid proliferations that did not fulfill diagnostic criteria for lymphoma; two of the latter regressed after discontinuation of the immunomodulator agent therapy. All eight lymphoma patients with available information had also received prior chemotherapy (methotrexate or 6-mercaptopurine). EBV was strongly associated with the B-cell and classical Hodgkin lymphomas. This case series illustrates that a broad range of lymphoid proliferations can occur after immunomodulator agent therapy and that these immunomodulator agent-related lymphoproliferative disorders have considerable overlap with other well-defined lymphoproliferative diseases associated with iatrogenic immunosuppression. Further study is warranted to evaluate how these therapies interact with other immunosuppressive agents and the underlying abnormal immune system to enhance the development of lymphomas and atypical lymphoid proliferations.

FINE: fisher information nonparametric embedding.

We consider the problems of clustering, classification, and visualization of high-dimensional data when no straightforward euclidean representation exists. In this paper, we propose using the properties of information geometry and statistical manifolds in order to define similarities between data sets using the Fisher information distance. We will show that this metric can be approximated using entirely nonparametric methods, as the parameterization and geometry of the manifold is generally unknown. Furthermore, by using multidimensional scaling methods, we are able to reconstruct the statistical manifold in a low-dimensional euclidean space; enabling effective learning on the data. As a whole, we refer to our framework as Fisher Information Nonparametric Embedding (FINE) and illustrate its uses on practical problems, including a biomedical application and document classification.

Analysis of clinical flow cytometric immunophenotyping data by clustering on statistical manifolds: treating flow cytometry data as high-dimensional objects.

BACKGROUND: Clinical flow cytometry typically involves the sequential interpretation of two-dimensional histograms, usually culled from six or more cellular characteristics, following initial selection (gating) of cell populations based on a different subset of these characteristics. We examined the feasibility of instead treating gated n-parameter clinical flow cytometry data as objects embedded in n-dimensional space using principles of information geometry via a recently described method known as Fisher Information Non-parametric Embedding (FINE). METHODS: After initial selection of relevant cell populations through an iterative gating strategy, we converted four color (six-parameter) clinical flow cytometry datasets into six-dimensional probability density functions, and calculated differences among these distributions using the Kullback-Leibler divergence (a measurement of relative distributional entropy shown to be an appropriate approximation of Fisher information distance in certain types of statistical manifolds). Neighborhood maps based on Kullback-Leibler divergences were projected onto two dimensional displays for comparison. RESULTS: These methods resulted in the effective unsupervised clustering of cases of acute lymphoblastic leukemia from cases of expansion of physiologic B-cell precursors (hematogones) within a set of 54 patient samples. CONCLUSIONS: The treatment of flow cytometry datasets as objects embedded in high-dimensional space (as opposed to sequential two-dimensional analyses) harbors the potential for use as a decision-support tool in clinical practice or as a means for context-based archiving and searching of clinical flow cytometry data based on high-dimensional distribution patterns contained within stored list mode data. Additional studies will be needed to further test the effectiveness of this approach in clinical practice.

Differences in germinal centre and non-germinal center phenotype in gastric and intestinal diffuse large B-cell lymphomas.

The gastrointestinal tract is the most common extranodal site of lymphoma, and the most common gastrointestinal lymphoma is diffuse large B-cell type (DLBCL). DLBCL can be separated into germinal centre (GCP) and non-germinal centre phenotypes (non-GCP) using CD10, BCL-6 and MUM1 immunohistochemistry, but primary gastrointestinal DLBCL has not been extensively studied. We investigated 48 cases of primary gastrointestinal DLBCL (33% involving the small intestine, 50% the stomach, 13% the large intestine and 4% the ileocecal junction) and found that most (88%) DLBCL in the intestines were of GCP, while only 58% of gastric DLBCL were of GCP. This difference in GCP and non-GCP in gastric vs. intestinal DLBCL may be due to variations in lymphomagenesis reflecting acquired vs. native mucosa-associated lymphoid tissue. There was no significant difference in either overall survival or disease-free survival between the germinal centre and non-germinal centre groups. The distribution of Helicobacter pylori in different gastric DLBCL phenotypes raises interesting questions about the pathogenesis of H. pylori-associated lymphomas.

Site-specific morphologic differences in extranodal marginal zone B-cell lymphomas.

CONTEXT: Lymphoepithelial lesions (LELs) are a useful diagnostic feature of extranodal marginal zone B-cell lymphoma (EMZL); however, there is scant literature comparing their frequency and morphology at various sites. OBJECTIVE: To evaluate any diagnostically useful, site-specific, morphologic patterns in EMZLs. DESIGN: In this retrospective review, we evaluated 136 EMZLs from different sites for LEL pattern and other pathologic differences, including CD43 coexpression and plasma cell component features. RESULTS: Prominent and destructive LELs were most common in salivary and thyroid gland cases, and LELs were rare to absent in breast, skin, and ocular adnexa cases. An LEL pattern with lymphocytes "stuffing" glandular lumina was seen in lung, thyroid, and salivary gland cases. Monoclonal plasma cells were most common in breast, upper aerodigestive tract, skin, and salivary gland cases. CD43 coexpression was seen in 36% of cases, most commonly in salivary gland, stomach, and upper aerodigestive tract. CONCLUSIONS: The relative importance of LEL pattern, CD43 coexpression, and clonal plasma cell component in EMZLs is site-dependent, and the differences may aid in the diagnosis of EMZLs at different anatomic sites.

Diagnostic pathology and laboratory medicine in the age of "omics": a paper from the 2006 William Beaumont Hospital Symposium on Molecular Pathology.

Functional genomics and proteomics involve the simultaneous analysis of hundreds or thousands of expressed genes or proteins and have spawned the modern discipline of computational biology. Novel informatic applications, including sophisticated dimensionality reduction strategies and cancer outlier profile analysis, can distill clinically exploitable biomarkers from enormous experimental datasets. Diagnostic pathologists are now charged with translating the knowledge generated by the "omics" revolution into clinical practice. Food and Drug Administration-approved proprietary testing platforms based on microarray technologies already exist and will expand greatly in the coming years. However, for diagnostic pathology, the greatest promise of the "omics" age resides in the explosion in information technology (IT). IT applications allow for the digitization of histological slides, transforming them into minable data and enabling content-based searching and archiving of histological materials. IT will also allow for the optimization of existing (and often underused) clinical laboratory technologies such as flow cytometry and high-throughput core laboratory functions. The state of pathology practice does not always keep up with the pace of technological advancement. However, to use fully the potential of these emerging technologies for the benefit of patients, pathologists and clinical scientists must embrace the changes and transformational advances that will characterize this new era.

Fascin expression in diffuse large B-cell lymphoma, anaplastic large cell lymphoma, and classical Hodgkin lymphoma.

CONTEXT: Fascin is an actin-bundling protein involved in the formation of dendritic processes. Fascin is a sensitive marker for classical Reed-Sternberg cells and has a high negative predictive value for diagnosis of classical Hodgkin lymphoma (CHL). Fascin has been used to distinguish CHL from non-Hodgkin lymphoma. Recently, it was shown that fascin might not help differentiate CHL from anaplastic large cell lymphoma (ALCL). Moreover, fascin has not been extensively studied in the context of other large cell lymphomas. OBJECTIVE: To analyze fascin expression in diffuse large B-cell lymphoma (DLBCL) and also reexamine its usefulness in discriminating CHL from ALCL. DESIGN: Formalin-fixed, paraffin-embedded tissue samples from 41 cases of DLBCL, 30 cases of CHL, and 30 cases of ALCL were analyzed. Fascin expression was compared across each type of lymphoma with additional correlation between fascin positivity and ALK-1 expression in ALCL performed. RESULTS: Only 6 (14.6%) of 41 cases of DLBCL stained positively for fascin, with most neoplastic large cells exhibiting a weak staining pattern. Fifteen (50%) of 30 cases of ALCL showed positivity for fascin, with most large cells staining strongly. All 30 cases of CHL demonstrated intense positive staining. Sixty percent of fascin-positive ALCLs were positive for ALK-1, while 66.7% of fascin-negative ALCLs were positive for ALK-1. CONCLUSIONS: Fascin is highly sensitive for CHL and has a very high negative predictive value (100% in this series) for distinguishing CHL from DLBCL or ALCL. However, the specificity and positive predictive value for fascin are much higher in distinguishing CHL from DLBCL than in distinguishing CHL from ALCL. Expression of fascin appears more useful in the differential diagnosis of CHL versus DLBCL than in the differential diagnosis of CHL versus ALCL.

Unsupervised immunophenotypic profiling of chronic lymphocytic leukemia.

BACKGROUND: Proteomics and functional genomics have revolutionized approaches to disease classification. Like proteomics, flow cytometry (FCM) assesses concurrent expression of many proteins, with the advantage of using intact cells that may be differentially selected during analysis. However, FCM has generally been used for incremental marker validation or construction of predictive models based on known patterns, rather than as a tool for unsupervised class discovery. We undertook a retrospective analysis of clinical FCM data to assess the feasibility of a cell-based proteomic approach to FCM by unsupervised cluster analysis. METHODS: Multicolor FCM data on peripheral blood (PB) and bone marrow (BM) lymphocytes from 140 consecutive patients with B-cell chronic lymphoproliferative disorders (LPDs), including 81 chronic lymphocytic leukemia (CLLs), were studied. Expression was normalized for CD19 totals, and recorded for 10 additional B-cell markers. Data were subjected to hierarchical cluster analysis using complete linkage by Pearson's correlation. Analysis of CLL in PB samples (n = 63) discovered three major clusters. One cluster (14 patients) was skewed toward "atypical" CLL and was characterized by high CD20, CD22, FMC7, and light chain, and low CD23. The remaining two clusters consisted almost entirely (48/49) of cases recorded as typical BCLL. The smaller "typical" BCLL cluster differed from the larger cluster by high CD38 (P = 0.001), low CD20 (P = 0.001), and low CD23 (P = 0.016). These two typical BCLL clusters showed a trend toward a difference in survival (P = 0.1090). Statistically significant cluster stability was demonstrated by expanding the dataset to include BM samples, and by using a method of random sampling with replacement. CONCLUSIONS: This study supports the concept that unsupervised immunophenotypic profiling of FCM data can yield reproducible subtypes of lymphoma/chronic leukemia. Expanded studies are warranted in the use of FCM as an unsupervised class discovery tool, akin to other proteomic methods, rather than as a validation tool.

ALK-positive anaplastic large cell lymphoma with primary bone involvement in children.

We describe the clinical, radiologic, and pathologic features of primary bone anaplastic large cell lymphoma (ALCL) in 3 boys. Radiologic imaging showed lytic lesions involving sacrum, femur, or rib. Bone was the only site of disease in 2 cases; an associated partial lymph node was involved in case 3. Differential diagnoses included osteomyelitis and small round cell tumors of childhood, particularly Ewing sarcoma. Preoperatively, ALCL was not a diagnostic consideration in any case. Two cases showed classic large pleomorphic cells; 1 showed a composite pattern with a distinct small cell component and the more typical large cell type. Neoplastic cells in all cases showed strong CD30 and anaplastic lymphoma kinase expression with relatively weak epithelial membrane antigen positivity. Cytotoxic granule protein was expressed in 2 cases. All cases showed unusually strong expression of neuron-specific enolase (NSE). Two patients were disease-free at last follow-up (15 months and 11 years); 1 patient died of disseminated disease within a year of diagnosis. ALCL should be considered a diagnostic possibility when evaluating neoplastic bone lesions in children. Although expression of NSE in ALCL has not been emphasized in the literature, it is worth noting because it may pose a diagnostic pitfall.

Trisomy 12-associated, t(11;14)-negative mature B-cell leukemia with gene expression profile resembling mantle cell lymphoma.

Trisomy 12 can be seen in many different lymphoid neoplasms. However, many or most mature B-cell leukemias associated with isolated trisomy 12 are reported in the literature as chronic lymphocytic leukemia (CLL) or 'atypical CLL'. This study reports a case of a mature B-cell leukemia, morphologically and immunophenotypically similar to cases previously published as atypical CLL, in which cytogenetic evaluation revealed an isolated clonal trisomy 12 but no evidence of the mantle cell lymphoma-associated t(11;14)(q13;q32). Further analysis confirmed absence of cyclin-D1 expression. Subsequent lymph node biopsy revealed evidence of large cell transformation of the underlying chronic lymphoproliferative disorder. Gene expression profiling of the initial peripheral blood sample using a cDNA micro-array of approximately 10,000 expressed genes revealed a close resemblance between the reported case and 2 cases of known mantle cell lymphoma. When further compared to 7 known 'typical' CLL cases, the reported case was classified as mantle cell lymphoma by hierarchical cluster analysis. The case reported here raises interesting questions regarding the nature of cases reported previously as trisomy 12-associated CLL and reinforces the fact that other leukemic lymphoproliferative disorders should be included in the differential diagnosis of such cases. Further study is indicated to elucidate the nature and diversity of disorders previously reported as trisomy 12-associated chronic lymphocytic leukemia.