Philip Went

Nuclear signalling by tumour-associated antigen EpCAM

EpCAM was found to be overexpressed on epithelial progenitors, carcinomas and cancer-initiating cells. The role of EpCAM in proliferation, and its association with cancer is poorly explained by proposed cell adhesion functions. Here we show that regulated intramembrane proteolysis activates EpCAM as a mitogenic signal transducer in vitro and in vivo. This involves shedding of its ectodomain EpEX and nuclear translocation of its intracellular domain EpICD. Cleavage of EpCAM is sequentially catalysed by TACE and presenilin-2. Pharmacological inhibition or genetic silencing of either protease impairs growth-promoting signalling by EpCAM, which is compensated for by EpICD. Released EpICD associates with FHL2, β-catenin and Lef-1 to form a nuclear complex that contacts DNA at Lef-1 consensus sites, induces gene transcription and is oncogenic in immunodeficient mice. In patients, EpICD was found in nuclei of colon carcinoma but not of normal tissue. Nuclear signalling of EpCAM explains how EpCAM functions in cell proliferation.

Correlation of high numbers of intratumoral FOXP3+ regulatory T cells with improved survival in germinal center-like diffuse large B-cell lymphoma, follicular lymphoma and classical Hodgkin’s lymphoma

FOXP3+ regulatory T-cells represent important modulators of lymphoma/host microenvironment. Their number may represent a positive prognostic factor in patients with germinal center-like diffuse large B-cell lymphoma, follicular lymphoma, and classical Hodgkins lymphoma. Background The tumor microenvironment is important for the behavior of cancer. We assessed the distribution and biological significance of FOXP3+ regulatory T-cells (Treg) in lymphomas. Design and Methods The absolute number of intratumoral FOXP3+ cells was immunohistochemically studied on lymphoma tissue microarrays from 1019 cases of different types of lymphomas and correlated to phenotypic and clinical parameters in uni- and multivariate models. Receiver operating characteristic -curves were used to determine prognostic cut-off values of FOXP3+ cell density. Results Of the 1019 cases, 926 (91%) were evaluable. FOXP3+ cell density varied between the lymphoma entities, and was highest in follicular lymphoma. An increased number of tumor-infiltrating FOXP3+ cells over the receiver operating characteristic-determined cut-offs positively influenced both disease-specific and failure-free survival in follicular lymphoma (p=0.053) and disease-specific survival in germinal center-like diffuse large B-cell lymphoma (p=0.051) and overall and failure-free survival in classical Hodgkin’s lymphoma (p=0.004), but had a negative prognostic effect in non-germinal center diffuse large B-cell lymphoma (p=0.059). In a Cox regression model, considering stage and age, the amount of FOXP3+ cells was of independent prognostic significance for failure-free survival in classical Hodgkin’s lymphoma and of borderline significance for overall survival in classical Hodgkin’s lymphoma and disease-specific survival in germinal center-like and non-germinal center diffuse large B-cell lymphoma. Conclusions FOXP3+ cells represent important lymphoma/host microenvironment modulators. Assessment of FOXP3+ cell density can contribute to the prediction of outcome in diffuse large B-cell lymphoma, fallicular lymphoma and classical Hodgkin’s lymphoma.

Marker Expression in Peripheral T-Cell Lymphoma: A Proposed Clinical-Pathologic Prognostic Score

PURPOSE Although peripheral T-cell lymphoma, unspecified (PTCL/U), is the most common T-cell tumor in Western countries, no study to date has been based on the application of a wide panel of markers to a large series of patients and assessed the impact of phenotype on survival. We evaluated the expression of 19 markers in 148 PTCLs/U and 45 PTCLs of the angioimmunoblastic type (AILD). PATIENTS AND METHODS The analysis was performed on tissue microarrays by immunohistochemistry and in situ hybridization. Clinical data were available in 93 PTCL/U patients, most of whom had been included in a previous study proposing a prognostic index (PIT). RESULTS An aberrant phenotype with frequent loss of CD5 and/or CD7 was typical for PTCLs, irrespective of whether they were U or AILD. Aberrantly expressed proteins rarely included CD20, CD15, and CD30. Positivity for Epstein-Barr virus-associated small RNAs and CD15 expression emerged as adverse prognostic factors. Among PTCLs/U, the proliferation-associated protein Ki-67 turned out to be prognostically relevant and was integrated in a new predictive score, incorporating age (> 60 years), high lactate dehydrogenase, poor performance status, and Ki-67 > or = 80%. This score was associated with the patient outcome (P < .0001) and was found to be more robust than PIT (P = .0043) in the present series. CONCLUSION Our retrospective analysis shows a wide range of protein expression in PTCLs and proposes a new prognostic index. The latter represents one of the first examples of mixed score (including patient- and tumor-specific factors) applied to malignant lymphomas and may be the basis for future prospective therapeutic trials.

Gene expression analysis of peripheral T cell lymphoma, unspecified, reveals distinct profiles and new potential therapeutic targets

Peripheral T cell lymphoma, unspecified (PTCL/U), the most common form of PTCL, displays heterogeneous morphology and phenotype, poor response to treatment, and poor prognosis. We demonstrate that PTCL/U shows a gene expression profile clearly distinct from that of normal T cells. Comparison with the profiles of purified T cell subpopulations (CD4+, CD8+, resting [HLA-DR-], and activated [HLA-DR+]) reveals that PTCLs/U are most closely related to activated peripheral T lymphocytes, either CD4+ or CD8+. Interestingly, the global gene expression profile cannot be surrogated by routine CD4/CD8 immunohistochemistry. When compared with normal T cells, PTCLs/U display deregulation of functional programs often involved in tumorigenesis (e.g., apoptosis, proliferation, cell adhesion, and matrix remodeling). Products of deregulated genes can be detected in PTCLs/U by immunohistochemistry with an ectopic, paraphysiologic, or stromal location. PTCLs/U aberrantly express, among others, PDGFRalpha, a tyrosine-kinase receptor, whose deregulation is often related to a malignant phenotype. Notably, both phosphorylation of PDGFRalpha and sensitivity of cultured PTCL cells to imatinib (as well as to an inhibitor of histone deacetylase) were found. These results, which might be extended to other more rare PTCL categories, provide insight into tumor pathogenesis and clinical management of PTCL/U.

Prevalence of KIT Expression in Human Tumors

PURPOSE KIT is a target for imatinib mesylate (Gleevec; Novartis Pharma, Basel, Switzerland). Gastrointestinal stromal tumors (GISTs) express KIT and respond favorably to imatinib therapy. To determine other tumors in which such a molecular targeted therapy might be indicated, we investigated KIT expression in different human tumor types. Because recent studies in GISTs suggest that KIT-activating mutations predict response to imatinib therapy, we also sequenced a subset of positive tumors. MATERIALS AND METHODS More than 3,000 tumors from more than 120 different tumor categories were analyzed by immunohistochemistry in a tissue microarray format. Seven commercially available anti-KIT antibodies were initially evaluated. The antibody A4502 (DAKO) was selected for analysis because of a high frequency of positivity in GIST and low staining background in other tissues. To determine the frequency of KIT mutations in various tumor types, the exons 2, 8, 9, 11, 13, and 17 (where mutations previously were reported) were sequenced in 36 tumors with strong KIT expression. RESULTS KIT positivity was detected in 28 of 28 GISTs (100%), 42 of 50 seminomas (84%), 34 of 52 adenoid-cystic carcinomas (65%), 14 of 39 malignant melanomas (35%), and eight of 47 large-cell carcinomas of the lung (17%), as well as in 47 additional tumor types. KIT mutations were found in six of 12 analyzed GISTs, but only in one of 24 other tumors. CONCLUSION The results suggest that KIT expression occurs infrequently in most tumor types and that, with the exception of GISTs, KIT gene mutations are rare in immunohistochemically KIT-positive tumors.

High Ep-CAM Expression is Associated with Poor Prognosis in Node-positive Breast Cancer

Previous studies in small series of patients with invasive breast cancer suggested a prognostic value of Ep-CAM overexpression in primary tumor tissue. To corroborate these findings, we performed a retrospective analysis of Ep-CAM expression using a tissue microarray containing tissue specimens from a large patient set. Ep-CAM expression was evaluated by immunohistochemistry in breast cancer tissue from 1715 patients with documented raw survival data. High level Ep-CAM expression (overexpression) was found in 41.7% of tumor samples, low level expression was found in 48.0% and no expression in 10.3% of tumor samples. Ep-CAM expression predicted poor overall survival in this patient cohort (p < 0.0001). Overall survival decreased significantly with increasing Ep-CAM expression. However, in this patient sample Ep-CAM expression was not an independent prognostic marker by multivariate analysis. Subgroup analysis revealed that Ep-CAM expression was a prognostic marker in node-positive (p < 0.0001) but not in node-negative (p= 0.58) breast cancer patients. Intriguingly, Ep-CAM expression was predictive for a dismal prognosis in patients receiving adjuvant cytotoxic (p= 0.03) or hormonal therapy (p < 0.0001) but not in untreated patients (p= 0.41). In summary, this study provides strong evidence that expression of Ep-CAM is a powerful marker of poor prognosis in node-positive invasive breast carcinoma and a potential predictive marker of sensitivity to adjuvant hormonal and/or cytotoxic treatment modalities.

EpCAM expression in primary tumour tissues and metastases: an immunohistochemical analysis.

Aims Epithelial cell adhesion molecule (EpCAM) is a cell surface protein with oncogenic features that is expressed on healthy human epithelia and corresponding malignant tumours. EpCAM expression frequently correlates with more aggressive tumour behaviour and new EpCAM-specific therapeutic agents have recently been approved for clinical use in patients with cancer. However, no consensus exists on how and when to evaluate EpCAM expression in patients with cancer. Material and methods EpCAM expression was assessed by a well-established immunohistochemical staining protocol in 2291 primary tumour tissues and in 108 metastases using the EpCAM-specific antibody clone VU1D9. A total immunostaining score was calculated as the product of a proportion score and an intensity score. Four expression subgroups (no, weak, moderate and intense) were defined. As described previously, the term ‘EpCAM overexpression’ was reserved for tissues showing a total immunostaining score >4. Results EpCAM was highly expressed in most tumours of gastrointestinal origin and in some carcinomas of the genitourinary tract. However, hepatocellular carcinomas, clear cell renal cell cancer, urothelial cancer and squamous cell cancers were frequently EpCAM negative. EpCAM expression in breast cancer depended on the histological subtype; lobular histology usually showed no or weak expression. Most metastases were EpCAM positive and they frequently reflected the expression phenotype of the primary tumour. Conclusion EpCAM expression was detected on adenocarcinomas of various primary sites. If EpCAM-specific antibodies are intended to be used in patients with cancer, we recommend prior immunohistochemical evaluation of EpCAM expression, particularly in patients with renal cell cancer, hepatocellular carcinoma, urothelial carcinoma, breast cancer and squamous cell carcinomas.

Epstein-Barr virus–positive diffuse large B-cell lymphoma in elderly patients is rare in Western populations

In the currently published World Health Organization-Classification, the new entity of Epstein-Barr virus-positive diffuse large B-cell lymphoma of the elderly was introduced largely based on findings from East-Asian populations. Little is known about its frequency or characteristics in the West, especially in European populations. Using a tissue microarray approach, we identified 8 out of 258 diffuse large B-cell lymphoma cases fulfilling the World Health Organization criteria of an Epstein-Barr virus-positive diffuse large B-cell lymphoma of the elderly, suggesting an incidence of 3.1% in a European population. The median patient age was 65 years. The highest diagnostic sensitivity was only achieved by EBER in situ hybridization. No correlation between Epstein-Barr virus status and outcome was noted except in latency type 3 lymphomas, which had a very poor survival. Sixty-seven percent of Epstein-Barr virus-positive cases showed the presence of necrosis and 50% expressed the activation marker CD30. However, no morphological or immunohistochemical features reliably distinguished all Epstein-Barr virus-positive diffuse large B-cell lymphoma cases. Thus, to identify these Epstein-Barr virus-positive diffuse large B-cell lymphoma in the elderly, EBER in situ hybridization of all de novo diffuse large B-cell lymphoma cases of patients older than 50 years should be considered. In summary, Epstein-Barr virus-positive diffuse large B-cell lymphoma of the elderly is rare in Europeans older than 50 years. It can only be diagnosed by EBER-ISH, and its precise prognostic role is unclear. Whether routine testing of all diffuse large B-cell lymphoma patients older than 50 years can be recommended depends essentially on its clinical relevance. Future studies are needed to address this question.

Expression of B-Cell Markers in Classical Hodgkin Lymphoma: A Tissue Microarray Analysis of 330 Cases

Hodgkin and Reed-Sternberg cells of classical Hodgkin lymphoma arise from B-lymphocytes. However, classical markers of the B-cell phenotype, such as CD20, are present only in about 25% of the cases. The aim of the present study was to assess expression of the B-cell–related antigens CD20, CD79a, and CD138 in classical Hodgkin lymphoma using a tissue microarray consisting of 330 classical Hodgkin lymphoma cases. Expression of CD15, CD20, CD30, CD79a, CD138, and latent membrane protein 1 of Epstein-Barr virus was assessed by immunohistochemistry, and the methodology was validated by direct comparison of CD20 expression on the tissue microarray cores with corresponding large sections. The influence of the number of arrayed sample cores on the obtained expression levels of CD20 was analyzed by comparing the results from single, duplicate, and triplicate cores. Two-hundred fifty-three (77%) of the 330 cases were morphologically representative. CD20 was expressed in 84 cases (33%), CD79a in 26 (10%), and CD138 in 2 (1%), respectively. CD20 and CD79a were co-expressed in 16 cases (P < .005), and expression of CD20 correlated inversely with CD15 (P < .01). Comparing the tissue microarray results with those from conventional sections for expression of CD20 yielded a concordance of 94% (63/67). Examining one, two, and three cores from individual cases revealed positivity for CD20 at 24% (61/253), 32% (82/253), and 33% (84/253), respectively. We conclude that B-cell markers are expressed in 38% of classical Hodgkin lymphoma in the following rank order: CD20>CD79a≫CD138. The use of two cores per tissue sample renders the tissue microarray technology effectively representative and thus very useful for high-throughput evaluation of heterogeneously expressed markers in classical Hodgkin lymphoma.

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.