German Lymphoma Alliance (GLA)
OverviewB-cell lymphoma is the most frequent lymphoid neoplasia accounting for one third of all lymphomas. R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone) is the current treatment standard, leading to high cure rates especially in younger patients. Although the 3-year event-free survival is about 60% even for elderly patients between 60-80 years old, the remainder of patients eventually relapse and the majority die of their disease. The German Non-Hodgkin's Lymphoma Study Group (DSHNHL) was founded in 1993 and has since conducted more than 25 national and international trials including more than 8000 patients in first line and salvage therapies. The DSHNHL is a network of haematooncologists, pathologists, radiologists, radiotherapists, nuclear physicians, biologists, geneticists and biometricians. All results of clinical trials performed by the DSHNHL were published in international journals and could lead a contribution to improve the treatment results.
Programme: NHL
LHA-ID: 7RX4165T77-8
Funding codes:- BMBF
- Deutsche Krebshilfe
Public web page: https://www.dshnhl.org
Human Diseases: Non-hodgkin lymphoma, B-cell lymphoma
Leipzig Health Atlas PALs: Markus Löffler
Project Coordinators: No Project coordinators for this Project
Project created: 16th Apr 2019
Related items
Projects: Leipzig Health Atlas, LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Group, Onto-Med Research Group, LIFE Heart, Molecular mechanisms in malignant lymphoma, German Lymphoma Alliance (GLA), Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, Natural Language Processing for Clinical Research, Genetical Statistics and Systems Biology, German Competence Network Sepsis (SepNet), LIFE Child, Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
Projects: LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Group, Molecular mechanisms in malignant lymphoma, German Lymphoma Alliance (GLA), Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, MMML-MYC-SYS, German Competence Network Sepsis (SepNet)
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
Prof. Dr. Markus Löffler
Universität Leipzig
Institut für Medizinische Informatik, Statistik und Epidemiologie
Härtelstraße 16-18
04107 Leipzig
https://orcid.org/0000-0001-8239-440X
Projects: German Lymphoma Alliance (GLA)
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
ROF filter based segmentation methods will be employed for automated recognition of macrophages, B-cells and cell nuclei within the tissue samples.
Snapshots: No snapshots
Mega-CHOEP phase III is a randomised study comparing conventional chemoimmunotherapy with R-CHOEP-14 with high-dose chemotherapy plus Rituximab with autologous stem cell transplantation in high-risk patients aged 61 to 80 years with Aggressive Non-Hodgkin’s Lymphoma.
Snapshots: No snapshots
RICOVER-60 is a randomised study comparing 6 and 8 cycles of chemotherapy with CHOP (Cyclophosphamide, Doxorubicin, Vincristine and Prednisone) at 14-day intervals (CHOP-14), both with or without the monoclonal anti-CD20 antibody Rituximab in patients aged 61 to 80 years with Aggressive Non-Hodgkin’s Lymphoma.
Snapshots: No snapshots
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Snapshots: No snapshots
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Mega-CHOEP phase III is a randomised study comparing conventional chemoimmunotherapy with R-CHOEP-14 with high-dose chemotherapy plus Rituximab with autologous stem cell transplantation in high-risk patients aged 61 to 80 years with Aggressive Non-Hodgkin’s Lymphoma.
Person responsible: René Hänsel
Snapshots: No snapshots
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Contributor: René Hänsel
Assay type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Contributor: Christoph Beger
Assay type: Result Dataset of Clinical Study
Technology type: Technology Type
Snapshots: No snapshots
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Contributor: René Hänsel
Assay type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Contributor: Christoph Beger
Assay type: Result Dataset of Clinical Study
Technology type: Technology Type
Snapshots: No snapshots
Contributor: René Hänsel
Assay type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
For a closer description, see the publication to which the file is attached.
DownloadFor a closer description, see the publication to which the file is attached.
For a closer description, see the publication to which the file is attached.
For a closer description, see the publication to which the file is attached.
For a closer description, see the publication to which the file is attached.
This is a set of MATLAB procedures for automated segmentation and counting of macrophages in multiple IHC stained tissue samples.
Execution assumes that three aligned single-channel greyscale images of a given tissue area are available, representing IHC stainings with CD14 and CD163 antibodies (targeting macrophages) as well as DAPI staining (targeting cell cores). After detection of evaluation subregion (based on DAPI channel information), IHC stained macrophages will be masked and counted (based
...
Creators: René Hänsel, Marcus Wagner
Contributor: René Hänsel
Model type: Not specified
Model format: Matlab package
Environment: Matlab
Motivation
The toxcalclulator was developed to support the decision-making process for special care and prophylaxis of patients with aggressive NHL receiving CHOP-like regimen.
Description
The toxcalculator is a web-based tool to calculate prognostic scores on haematopoietic toxicity for 6 cycles CHOP-like regimen in patients with aggressive NHL.
Creator: René Hänsel
Contributor: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Abstract (Expand)
Authors: Marcus Wagner, René Hänsel, Sarah Reinke, Julia Richter, Michael Altenbuchinger, Ulf-Dietrich Braumann, Rainer Spang, Markus Löffler, Wolfram Klapper
Date Published: No date defined
Journal: Biological Procedures Online
Human Diseases: diffuse large B-cell lymphoma
Abstract (Expand)
Authors: K. Hohloch, Samira Zeynalova, B. Chapuy, M. Pfreundschuh, Markus Löffler, Marita Ziepert, A. C. Feller, L. Trumper, D. Hasenclever, G. Wulf, N. Schmitz
Date Published: 12th May 2016
Journal: Ann Hematol
Human Diseases: Not specified
Abstract (Expand)
Authors: Michael Hummel, S. Bentink, H. Berger, W. Klapper, S. Wessendorf, T. F. Barth, H. W. Bernd, S. B. Cogliatti, J. Dierlamm, A. C. Feller, M. L. Hansmann, E. Haralambieva, L. Harder, D. Hasenclever, M. Kuhn, D. Lenze, P. Lichter, J. I. Martin-Subero, P. Moller, H. K. Muller-Hermelink, G. Ott, R. M. Parwaresch, C. Pott, A. Rosenwald, Maciej Rosolowski, C. Schwaenen, B. Sturzenhofecker, M. Szczepanowski, H. Trautmann, H. H. Wacker, Rainer Spang, Markus Löffler, L. Trumper, H. Stein, R. Siebert
Abstract (Expand)
Authors: K. Hohloch, C. Zwick, Marita Ziepert, D. Hasenclever, U. Kaiser, A. Engert, H. G. Hoffkes, F. Kroschinsky, R. Mesters, A. C. Feller, Markus Löffler, L. Trumper, M. Pfreundschuh
