Checkpoint inhibition enhances cell contacts between CD4+ T cells and Hodgkin-Reed-Sternberg cells of classic Hodgkin lymphoma.

Although checkpoint molecules like CTLA-4 and PD1 have been described several years ago, checkpoint inhibitors such as Nivolumab (an anti-PD-1 antibody) have only recently been used to treat classic Hodgkin lymphoma (cHL). Several studies have shown convincing therapeutic effects of Nivolumab in cHL. However, the mechanism of action of Nivolumab in cHL is not fully understood. The aim of this study was to monitor changes in cell motility and cell contacts after administration of Nivolumab to an in vitro model of cHL as well as to native hyperplastic lymphoid tissue and native human tissue from cHL. In both tissue and in vitro, CD4+, CD8+, CD30+ and CD20+ cell velocities were unchanged after Nivolumab incubation. In contrast, in primary cHL tissue, the duration of cell contacts between CD4+ T cells and HRS cells was significantly increased after 5 h Nivolumab treatment, and the number of contacts with HRS cells was also slightly increased for CD4+ T cells (not significant), suggesting that CD4+ T cells in particular contribute to the cytotoxicity observed as a result of Nivolumab therapy. There was no change in the duration of cell contacts in the hyperplastic lymphoid tissue after Nivolumab incubation. In conclusion, we show here for the first time by imaging of native lymphoma tissue an enhanced interaction of CD4+ T cells and HRS cells in cHL after Nivolumab administration.

3D analyses reveal T cells with activated nuclear features in T-cell/histiocyte-rich large B-cell lymphoma.

Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) can show variable histological growth patterns and present remarkable overlap with T-cell/histiocyte-rich large B-cell lymphoma (THRLBCL). Previous studies suggest that NLPHL histological variants represent progression forms of NLPHL and THRLBCL transformation in aggressive disease. Since molecular studies of both lymphomas are limited due to the low number of tumor cells, the present study aimed to learn if a better understanding of these lymphomas is possible via detailed measurements of nuclear and cell size features in 2D and 3D sections. Whereas no significant differences were visible in 2D analyses, a slightly increased nuclear volume and a significantly enlarged cell size were noted in 3D measurements of the tumor cells of THRLBCL in comparison to typical NLPHL cases. Interestingly, not only was the size of the tumor cells increased in THRLBCL but also the nuclear volume of concomitant T cells in the reactive infiltrate when compared with typical NLPHL. Particularly CD8+ T cells had frequent contacts to tumor cells of THRLBCL. However, the nuclear volume of B cells was comparable in all cases. These results clearly demonstrate that 3D tissue analyses are superior to conventional 2D analyses of histological sections. Furthermore, the results point to a strong activation of T cells in THRLBCL, representing a cytotoxic response against the tumor cells with unclear effectiveness, resulting in enhanced swelling of the tumor cell bodies and limiting proliferative potential. Further molecular studies combining 3D tissue analyses and molecular data will help to gain profound insight into these ill-defined cellular processes.

Landscape of T Follicular Helper Cell Dynamics in Human Germinal Centers.

T follicular helper (Tfh) cells play a very important role in mounting a humoral response. Studies conducted in mouse models have revealed with good kinetic and spatial resolution the dynamics of these cells in germinal centers (GC) and their cross-talk with B cells upon an immune response. However, whether a similar migratory behavior is performed by human Tfh cells is unclear, as technology to track them in situ has been lacking. In this study, we combined traditional immunohistochemistry and real-time fluorescent imaging approaches on fresh human adenoid slices to provide static and dynamic information on Tfh cells. Our data indicate that GC light zones are composed of two distinct areas in terms of Tfh cell distribution and migration. In the outer GC light zones, Tfh cells migrate actively and with a high ability to form dynamic clusters showing intense and rapid reorganization. In these outer regions, Tfh cells demonstrate multiple interactions between each other. Conversely, in central regions of GC light zones, Tfh cells are much more static, forming long-lasting conjugates. These findings reveal for the first time, to our knowledge, the dynamic behavior whereby Tfh cells migrate in human GC and highlight the heterogeneity of GC for Tfh cell motility.

Detection of follicular regions in actin-stained whole slide images of the human lymph node by shock filter.

Human lymph nodes play a central part of immune defense against infection agents and tumor cells. Lymphoid follicles are compartments of the lymph node which are spherical, mainly filled with B cells. B cells are cellular components of the adaptive immune systems. In the course of a specific immune response, lymphoid follicles pass different morphological differentiation stages. The morphology and the spatial distribution of lymphoid follicles can be sometimes associated to a particular causative agent and development stage of a disease. We report our new approach for the automatic detection of follicular regions in histological whole slide images of tissue sections immuno-stained with actin. The method is divided in two phases: (1) shock filter-based detection of transition points and (2) segmentation of follicular regions. Follicular regions in 10 whole slide images were manually annotated by visual inspection, and sample surveys were conducted by an expert pathologist. The results of our method were validated by comparing with the manual annotation. On average, we could achieve a Zijbendos similarity index of 0.71, with a standard deviation of 0.07.

Holistic View on the Structure of Immune Response: Petri Net Model.

The simulation of immune response is a challenging task because quantitative data are scarce. Quantitative theoretical models either focus on specific cell-cell interactions or have to make assumptions about parameters. The broad variation of, e.g., the dimensions and abundance between lymph nodes as well as between individual patients hampers conclusive quantitative modeling. No theoretical model has been established representing a consensus on the set of major cellular processes involved in the immune response. In this paper, we apply the Petri net formalism to construct a semi-quantitative mathematical model of the lymph nodes. The model covers the major cellular processes of immune response and fulfills the formal requirements of Petri net models. The intention is to develop a model taking into account the viewpoints of experienced pathologists and computer scientists in the field of systems biology. In order to verify formal requirements, we discuss invariant properties and apply the asynchronous firing rule of a place/transition net. Twenty-five transition invariants cover the model, and each is assigned to a functional mode of the immune response. In simulations, the Petri net model describes the dynamic modes of the immune response, its adaption to antigens, and its loss of memory.

Three-dimensional human germinal centers of different sizes in patients diagnosed with lymphadenitis show comparative constant relative volumes of B cells, T cells, follicular dendritic cells, and macrophages.

Germinal centers (GCs) are some of the most important structures in the human immune system. As such, their cell types and functions have been thoroughly investigated. B cells, T cells, follicular dendritic cells (FDCs), and macrophages have widely been found to typically be aggregated in GCs. However, the amount of space occupied by each of these cell types has yet to be investigated. In this study, we conducted confocal laser-based 3D cell-volume quantification of typical GC cells under reactive conditions in lymphadenitis and investigated how volume proportions change during GC development. For this investigation, we used anti-CD3 (T cells), anti-CD20 and anti-Pax5 (B cells), anti-CD23 (FDCs), anti-CD68 (macrophages), and DAPI (nuclear staining). We detected average proportions of about 11% CD3, 9% CD20, 6% CD23, and 2% CD68 in the largest possible regions of interest within GCs. Interestingly, these values remained steady relatively independent of GC size. The remarkably low B cell proportion can be attributed to technical constraints given the use of the CD20 antibody in 3D. Applying the B cell marker Pax5, we found that about 44% of the volume was occupied by B cells after extrapolating the volume of B cell nuclei to that of whole B cells. We concluded that Pax5 is more suitable than anti-CD20 for 3D B cell quantification in GCs. The substantial unstained volume in GCs raises the question of whether other cell types fill these open spaces. Our 3D investigation enabled a unique morphological and volumetric evaluation of GC cells that balance their overall volumes in GCs.

The RHOA Mutation G17V Does Not Lead to Increased Migration of Human Malignant T Cells but Is Associated with Matrix Remodelling.

Nodal T-follicular helper cell lymphoma, angioimmunoblastic-type (AITL), is characterized by constitutional symptoms, advanced-stage disease, and generalized lymphadenopathy. A genetic hallmark of this lymphoma is the frequent occurrence of the RHOA mutation G17V in neoplastic cells, which is observed in around 60% of patients. Because RHOA is involved in both T-cell receptor downstream signalling and cell migration, we hypothesized that the characteristic presentation of AITL could be the result of enhanced tumor cell migration. Therefore, this study aimed to elucidate the impact of the RHOA variant G17V on the migration of neoplastic T cells. We transfected the T-cell lymphoma cell lines HH and HuT78 to stably express the RHOA-G17V variant. RHOA-G17V-expressing T cells did not exhibit enhanced motility compared to empty-vector-transfected cells in microchannels, a 3D collagen gel, or primary human lymphatic tissue. Cells of the HH cell line expressing RHOA-G17V had an increased number of cells with cleaved collagen compared with the empty-vector-transfected cells. Therefore, we hypothesized that the early spread of AITL tumor cells may be related to remodelling of the extracellular matrix. Accordingly, we observed a significant negative correlation between the relative area of collagen in histological sections from 18 primary AITL and the allele frequency of the RHOA-G17V mutation. In conclusion, our results suggest that the characteristic presentation of AITL with early, widespread dissemination of lymphoma cells is not the result of an enhanced migration capacity due to the RHOA-G17V mutation; instead, this feature may rather be related to extracellular matrix remodelling.

New definitions of human lymphoid and follicular cell entities in lymphatic tissue by machine learning.

Histological sections of the lymphatic system are usually the basis of static (2D) morphological investigations. Here, we performed a dynamic (4D) analysis of human reactive lymphoid tissue using confocal fluorescent laser microscopy in combination with machine learning. Based on tracks for T-cells (CD3), B-cells (CD20), follicular T-helper cells (PD1) and optical flow of follicular dendritic cells (CD35), we put forward the first quantitative analysis of movement-related and morphological parameters within human lymphoid tissue. We identified correlations of follicular dendritic cell movement and the behavior of lymphocytes in the microenvironment. In addition, we investigated the value of movement and/or morphological parameters for a precise definition of cell types (CD clusters). CD-clusters could be determined based on movement and/or morphology. Differentiating between CD3- and CD20 positive cells is most challenging and long term-movement characteristics are indispensable. We propose morphological and movement-related prototypes of cell entities applying machine learning models. Finally, we define beyond CD clusters new subgroups within lymphocyte entities based on long term movement characteristics. In conclusion, we showed that the combination of 4D imaging and machine learning is able to define characteristics of lymphocytes not visible in 2D histology.

3D connectomes of reactive and neoplastic CD30 positive lymphoid cells and surrounding cell types.

Classical Hodgkin lymphoma (cHL) is one of the most common malignant lymphomas in Western Europe. It is diagnosed on the basis of histological sections by pathologists using a light microscope. The tumor cells, the Hodgkin- and Reed Sternberg cells (HRS), are visualized by morphology and positive response for the CD30-antigen. The same antigen can also be detected by immunohistochemistry on a reactive counterpart, showing CD30+ cells in special immunoreactions, such as inflammations of lymph nodes (lymphadenitis). CD30+ cells in reactive and neoplastic conditions are surrounded by lymphocytes and histiocytes, forming a micromilieu that enables the survival of the tumor cells, as well as their reactive counterparts. This study deals with an investigation of CD30+-surrounding cells using a confocal laser technology, visualizing the contacts of reactive and neoplastic CD30+ cells with CD68+ macrophages and CD163+ macrophages as well as to PD1+ lymphocytes and B cells (CD20+). CD4 immunostains were not included, because CD4+ cells were too numerous for clear dissection of single cells. 3D images visualized the, so-called, connectomes. Clear differences in the number of contacts between CD30-reactive and neoplastic cells (HRS) with macrophages and B lymphocytes were visible. Lymphadenitis and Mixed Cellularity type of classical Hodgkin Lymphoma (cHL) differed in that Mixed Cellularity (MC) cHL had more connections to macrophages (CD163+) and lower number of connections to B cells (CD20+). The connectomes of both Hodgkin variants MCcHL and Nodular Sclerosis cHL (NScHL) mainly differed in the number of contacts to CD163+ macrophages, which was higher in MCcHL. Investigating the volumes of CD30+ -reactive and neoplastic cells, we found out that reactive cells showed lesser volumes, which correlated with the number of contacts. The comparison between 2D and 3D images, including 3D prints, demonstrated clear advantages of the 3D method. 3D images visualized significantly more and clearly defined intercellular contacts. Complicated cellular networks and their contacts became especially evident in volume and surface evaluations, as well as in 3D prints.

Landscape of 4D Cell Interaction in Hodgkin and Non-Hodgkin Lymphomas.

Profound knowledge exists about the clinical, morphologic, genomic, and transcriptomic characteristics of most lymphoma entities. However, information is currently lacking on the dynamic behavior of malignant lymphomas. This pilot study aimed to gain insight into the motility of malignant lymphomas and bystander cells in 20 human lymph nodes. Generally, B cells were faster under reactive conditions compared with B cells in malignant lymphomas. In contrast, PD1-positive T cells did not show systematic differences in velocity between reactive and neoplastic conditions in general. However, lymphomas could be divided into two groups: one with fast PD1-positive T cells (e.g., Hodgkin lymphoma and mantle cell lymphoma; means 8.4 and 7.8 µm/min) and another with slower PD1-positive T cells (e.g., mediastinal grey zone lymphoma; mean 3.5 µm/min). Although the number of contacts between lymphoma cells and PD1-positive T cells was similar in different lymphoma types, important differences were observed in the duration of these contacts. Among the lymphomas with fast PD1-positive T cells, contacts were particularly short in mantle cell lymphoma (mean 54 s), whereas nodular lymphocyte-predominant Hodgkin lymphoma presented prolonged contact times (mean 6.1 min). Short contact times in mantle cell lymphoma were associated with the largest spatial displacement of PD1-positive cells (mean 12.3 µm). Although PD1-positive T cells in nodular lymphocyte-predominant Hodgkin lymphoma were fast, they remained in close contact with the lymphoma cells, in line with a dynamic immunological synapse. This pilot study shows for the first time systematic differences in the dynamic behavior of lymphoma and bystander cells between different lymphoma types.

3D investigation shows walls and wall-like structures around human germinal centres, probably regulating T- and B-cell entry and exit.

This study deals with 3D laser investigation on the border between the human lymph node T-zone and germinal centre. Only a few T-cells specific for antigen selected B-cells are allowed to enter germinal centres. This selection process is guided by sinus structures, chemokine gradients and inherent motility of the lymphoid cells. We measured gaps and wall-like structures manually, using IMARIS, a 3D image software for analysis and interpretation of microscopy datasets. In this paper, we describe alpha-actin positive and semipermeable walls and wall-like structures that may hinder T-cells and other cell types from entering germinal centres. Some clearly defined holes or gaps probably regulate lymphoid traffic between T- and B-cell areas. In lymphadenitis, the morphology of this border structure is clearly defined. However, in case of malignant lymphoma, the wall-like structure is disrupted. This has been demonstrated exemplarily in case of angioimmunoblastic T-cell lymphoma. We revealed significant differences of lengths of the wall-like structures in angioimmunoblastic T-cell lymphoma in comparison with wall-like structures in reactive tissue slices. The alterations of morphological structures lead to abnormal and less controlled T- and B-cell distributions probably preventing the immune defence against tumour cells and infectious agents by dysregulating immune homeostasis.

Validation of the diagnostic value of NMP22 BladderChek test as a marker for bladder cancer by photodynamic diagnosis.

OBJECTIVES: The aim of the present study was to validate the sensitivity and specificity of the new "point-of-care" NMP22 BladderChek test compared to photodynamic diagnosis (PDD). METHODS: Voided urine samples from 100 patients with suspicion of bladder cancer were collected to perform the NMP22 BladderChek test and voided urinary cytology. The nuclear matrix protein 22 (NMP22) levels were measured by a lateral flow immunochromatographic qualitative assay, using 10 U/ml as the cut-off value. Subsequently patients underwent PDD, using 5-aminolevulinic acid or hexyl-aminolevulinate; previous bladder washings for cytology were collected. Sensitivity and specificity of the NMP22 BladderChek test were compared with cytology and PDD. RESULTS: Forty of the 100 patients had urothelial malignancies (22 pTa, 4 pT1, 3 pT2, 9 carcinoma in situ, 2 pTx; 16 G1, 6 G2, 18 G3). The sensitivity was 65% for the NMP22 BladderChek test, 44% for voided cytology, 75% for washing cytology, and 93% for PDD. Specificity rates were 40%, 78%, 62%, and 43%, respectively. Positive predictive values were 0.42, 0.58, 0.53, and 0.52 and the negative predictive values 0.63, 0.68, 0.82, and 0.9, respectively. CONCLUSIONS: The results demonstrate that the NMP22 BladderChek is an easily applied test, giving diagnostic findings within 30 min. However, validated by the highly sensitive PDD, the NMP22 BladderChek test demonstrates poor specificity and sensitivity and, therefore, cannot be recommended for screening or surveillance in daily clinical routine use. Further studies with careful patient selection are necessary to identify the patient population that might benefit from the NMP22 BladderChek test.