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Hansmann ML. [3D/4D strategic lymph node diagnostics : The 4D representation of the human lymph node enables the observation and interpretation of the immune system in space and time]. PATHOLOGIE (HEIDELBERG, GERMANY) 2023; 44:140-143. [PMID: 38010387 DOI: 10.1007/s00292-023-01265-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/19/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Lymph-node diagnostics is performed using thin sections, with help of immunohistochemistry by light microscopy and supplemented by molecular pathology. OBJECTIVES Which are the scientific and diagnostic perspectives of 3D and 4D lymph node investigations, using laser, scanning, and computer technologies? What is the impact of machine learning in complex data analysis. RESULTS It was shown in different investigations that the analysis in space and time (3D/4D) of lymph node tissue is able to provide a lot of new information concerning biology and diagnostics and enable excellent evaluations applying machine learning. CONCLUSION OR DISCUSSION 3D and 4D analysis of human lymphoid tissue gives new insights into immunologic mechanisms and malignant lymphomas.
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Affiliation(s)
- Martin-Leo Hansmann
- Goethe-Universität Frankfurt, Frankfurt, Deutschland.
- Konsultations- und Referenzzentrum für Haematopathologie, Helios Universitätsklinikum Wuppertal, Heusnerstr. 40, 42283, Wuppertal, Deutschland.
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2
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Hartmann S. Hodgkin Lymphoma-The Spectrum from Diagnostics to Molecular Science, Movement and Current Treatment Approaches. Cancers (Basel) 2023; 15:2726. [PMID: 37345063 DOI: 10.3390/cancers15102726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 05/10/2023] [Indexed: 06/23/2023] Open
Abstract
A total of fourteen papers on Hodgkin lymphoma (HL) are published within this Special Issue, including six reviews, seven original articles and one commentary [...].
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Affiliation(s)
- Sylvia Hartmann
- Dr. Senckenberg Department of Pathology, Goethe University, 60590 Frankfurt, Germany
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3
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Holistic View on the Structure of Immune Response: Petri Net Model. Biomedicines 2023; 11:biomedicines11020452. [PMID: 36830988 PMCID: PMC9953182 DOI: 10.3390/biomedicines11020452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/27/2023] [Accepted: 01/29/2023] [Indexed: 02/08/2023] Open
Abstract
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.
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Ballhausen A, Ben Hamza A, Welters C, Dietze K, Bullinger L, Rahn HP, Hartmann S, Hansmann ML, Hansmann L. Immune phenotypes and checkpoint molecule expression of clonally expanded lymph node-infiltrating T cells in classical Hodgkin lymphoma. Cancer Immunol Immunother 2023; 72:515-521. [PMID: 35947165 PMCID: PMC9870823 DOI: 10.1007/s00262-022-03264-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/23/2022] [Indexed: 01/29/2023]
Abstract
Lymph node-infiltrating T cells have been of particular interest in classical Hodgkin lymphoma (cHL). High rates of complete therapeutic responses to antibody-mediated immune checkpoint blockade, even in relapsed/refractory patients, suggest the existence of a T cell-dominated, antigen-experienced, functionally inhibited and lymphoma-directed immune microenvironment. We asked whether clonally expanded T cells (1) were detectable in cHL lymph nodes, (2) showed characteristic immune phenotypes, and (3) were inhibited by immune checkpoint molecule expression. We applied high-dimensional FACS index sorting and single cell T cell receptor αβ sequencing to lymph node-infiltrating T cells from 10 treatment-naïve patients. T cells were predominantly CD4+ and showed memory differentiation. Expression of classical immune checkpoint molecules (CTLA-4, PD-1, TIM-3) was generally low (< 12.0% of T cells) and not different between CD4+ and CD8+ T cells. Degrees of clonal T cell expansion varied between patients (range: 1-18 expanded clones per patient) and was almost exclusively restricted to CD8+ T cells. Clonally expanded T cells showed non-naïve phenotypes and low checkpoint molecule expression similar to non-expanded T cells. Our data suggest that the therapeutic effects of immune checkpoint blockade require mechanisms in addition to dis-inhibition of pre-existing lymphoma-directed T cell responses. Future studies on immune checkpoint blockade-associated effects will identify molecular T cell targets, address dynamic aspects of cell compositions over time, and extend their focus beyond lymph node-infiltrating T cells.
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Affiliation(s)
- Alexej Ballhausen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Amin Ben Hamza
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Carlotta Welters
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Kerstin Dietze
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Lars Bullinger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu, Augustenburger Platz 1, 13353, Berlin, Germany
- German Cancer Consortium (DKTK), Berlin, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hans-Peter Rahn
- Preparative Flow Cytometry, Max-Delbrück-Centrum für Molekulare Medizin, Berlin, Germany
| | - Sylvia Hartmann
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Martin-Leo Hansmann
- Frankfurt Institute of Advanced Studies, Frankfurt am Main, Germany
- Institute of General Pharmacology and Toxicology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Leo Hansmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu, Augustenburger Platz 1, 13353, Berlin, Germany.
- German Cancer Consortium (DKTK), Berlin, Germany.
- German Cancer Research Center (DKFZ), Heidelberg, Germany.
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5
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Martin-Leo H, Frederick K, Wojciech S, Klaus-Robert M, Emmanuel D, Sonja S, Sylvia H, Ina K, Jörg A, Liron P, Hendrik S, Patrick W. Imaging bridges pathology and radiology. J Pathol Inform 2023; 14:100298. [PMID: 36851923 PMCID: PMC9958472 DOI: 10.1016/j.jpi.2023.100298] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/23/2023] [Accepted: 01/25/2023] [Indexed: 02/01/2023] Open
Abstract
In recent years, medical disciplines have moved closer together and rigid borders have been increasingly dissolved. The synergetic advantage of combining multiple disciplines is particularly important for radiology, nuclear medicine, and pathology to perform integrative diagnostics. In this review, we discuss how medical subdisciplines can be reintegrated in the future using state-of-the-art methods of digitization, data science, and machine learning. Integration of methods is made possible by the digitalization of radiological and nuclear medical images, as well as pathological images. 3D histology can become a valuable tool, not only for integration into radiological images but also for the visualization of cellular interactions, the so-called connectomes. In human pathology, it has recently become possible to image and calculate the movements and contacts of immunostained cells in fresh tissue explants. Recording the movement of a living cell is proving to be informative and makes it possible to study dynamic connectomes in the diagnosis of lymphoid tissue. By applying computational methods including data science and machine learning, new perspectives for analyzing and understanding diseases become possible.
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Affiliation(s)
- Hansmann Martin-Leo
- Frankfurt Institute for Advanced Studies, Frankfurt/Main, Germany
- Institute for Pharmacology and Toxicology, Goethe University, Frankfurt/Main, Germany
| | - Klauschen Frederick
- Charité University Hospital, Berlin, Germany
- German Cancer Consortium (DKTK), Munich partner site, and German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany
- BIFOLD -- Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
- Ludwig-Maximilians-Universität, Munich, Germany
- Aignostics GmbH, Berlin, Germany
| | - Samek Wojciech
- BIFOLD -- Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
- Fraunhofer Heinrich Hertz Institute, Berlin, Germany
- Technical University Berlin, Berlin, Germany
| | - Müller Klaus-Robert
- BIFOLD -- Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
- Aignostics GmbH, Berlin, Germany
- Technical University Berlin, Berlin, Germany
- Korea University, Seoul, South Korea
- Max-Planck-Institut für Informatik, Saarbrücken, Germany
| | - Donnadieu Emmanuel
- Université Paris Cité, CNRS, INSERM, Equipe Labellisée Ligue Contre le Cancer, Institut Cochin, F-75014 Paris, France
| | - Scharf Sonja
- Frankfurt Institute for Advanced Studies, Frankfurt/Main, Germany
- Institute for Pharmacology and Toxicology, Goethe University, Frankfurt/Main, Germany
- Department of Molecular Bioinformatics, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Hartmann Sylvia
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Koch Ina
- Department of Molecular Bioinformatics, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Ackermann Jörg
- Department of Molecular Bioinformatics, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Pantanowitz Liron
- Department of Pathology, University of Michigan, Ann Arbor, Michigan
| | - Schäfer Hendrik
- Institute for Pharmacology and Toxicology, Goethe University, Frankfurt/Main, Germany
- Charité University Hospital, Berlin, Germany
| | - Wurzel Patrick
- Frankfurt Institute for Advanced Studies, Frankfurt/Main, Germany
- Institute for Pharmacology and Toxicology, Goethe University, Frankfurt/Main, Germany
- Department of Molecular Bioinformatics, Goethe University Frankfurt, Frankfurt/Main, Germany
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6
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Bein J, Flinner N, Häupl B, Mathur A, Schneider O, Abu-Ayyad M, Hansmann ML, Piel M, Oellerich T, Hartmann S. T-cell-derived Hodgkin lymphoma has motility characteristics intermediate between Hodgkin and anaplastic large cell lymphoma. J Cell Mol Med 2022; 26:3495-3505. [PMID: 35586951 PMCID: PMC9189347 DOI: 10.1111/jcmm.17389] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/21/2022] [Accepted: 04/29/2022] [Indexed: 01/19/2023] Open
Abstract
Classic Hodgkin lymphoma (cHL) is usually characterized by a low tumour cell content, derived from crippled germinal centre B cells. Rare cases have been described in which the tumour cells show clonal T-cell receptor rearrangements. From a clinicopathological perspective, it is unclear if these cases should be classified as cHL or anaplastic large T-cell lymphoma (ALCL). Since we recently observed differences in the motility of ALCL and cHL tumour cells, here, we aimed to obtain a better understanding of T-cell-derived cHL by investigating their global proteomic profiles and their motility. In a proteomics analysis, when only motility-associated proteins were regarded, T-cell-derived cHL cell lines showed the highest similarity to ALK- ALCL cell lines. In contrast, T-cell-derived cHL cell lines presented a very low overall motility, similar to that observed in conventional cHL. Whereas all ALCL cell lines, as well as T-cell-derived cHL, predominantly presented an amoeboid migration pattern with uropod at the rear, conventional cHL never presented with uropods. The migration of ALCL cell lines was strongly impaired upon application of different inhibitors. This effect was less pronounced in cHL cell lines and almost invisible in T-cell-derived cHL. In summary, our cell line-derived data suggest that based on proteomics and migration behaviour, T-cell-derived cHL is a neoplasm that shares features with both cHL and ALCL and is not an ALCL with low tumour cell content. Complementary clinical studies on this lymphoma are warranted.
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Affiliation(s)
- Julia Bein
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Nadine Flinner
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.,Frankfurt Cancer Institute, Goethe University, Frankfurt am Main, Germany.,University Cancer Center (UCT) Frankfurt, University Hospital, Goethe University, Frankfurt am Main, Germany.,Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany
| | - Björn Häupl
- Frankfurt Cancer Institute, Goethe University, Frankfurt am Main, Germany.,Department of Internal Medicine 2, Goethe University Hospital, Frankfurt, Germany.,German Cancer Consortium/German Cancer Research Center, Heidelberg, Germany
| | - Aastha Mathur
- Institut Curie and Institut Pierre Gilles de Gennes, PSL Research University, CNRS, UMR 144, Paris, France
| | - Olga Schneider
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Marwa Abu-Ayyad
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Martin-Leo Hansmann
- Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.,Institute of General Pharmacology and Toxicology, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Matthieu Piel
- Institut Curie and Institut Pierre Gilles de Gennes, PSL Research University, CNRS, UMR 144, Paris, France
| | - Thomas Oellerich
- Frankfurt Cancer Institute, Goethe University, Frankfurt am Main, Germany.,Department of Internal Medicine 2, Goethe University Hospital, Frankfurt, Germany.,German Cancer Consortium/German Cancer Research Center, Heidelberg, Germany
| | - Sylvia Hartmann
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
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7
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Sadeghi Shoreh Deli A, Scharf S, Steiner Y, Bein J, Hansmann ML, Hartmann S. 3D analyses reveal T cells with activated nuclear features in T-cell/histiocyte-rich large B-cell lymphoma. Mod Pathol 2022; 35:1431-1438. [PMID: 35173297 PMCID: PMC9514992 DOI: 10.1038/s41379-022-01016-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 01/21/2022] [Accepted: 01/21/2022] [Indexed: 11/13/2022]
Abstract
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.
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Affiliation(s)
- Aresu Sadeghi Shoreh Deli
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany
| | - Sonja Scharf
- grid.417999.b0000 0000 9260 4223Frankfurt Institute of Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany ,grid.7839.50000 0004 1936 9721Molecular Bioinformatics, Goethe University Frankfurt am Main, Robert-Mayer-Str. 11-15, 60325 Frankfurt am Main, Germany
| | - Yvonne Steiner
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany
| | - Julia Bein
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany
| | - Martin-Leo Hansmann
- grid.417999.b0000 0000 9260 4223Frankfurt Institute of Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany ,grid.7839.50000 0004 1936 9721Institute of General Pharmacology and Toxicology, Goethe University Frankfurt, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany
| | - Sylvia Hartmann
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt, Theodor-Stern-Kai 7, D-60590, Frankfurt am Main, Germany.
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