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B-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
Health Atlas ID: 7RX4165T77-8
Funding codes:- Deutsche Krebshilfe
- BMBF
Public web page: https://www.dshnhl.org
Organisms: Homo sapiens
Human Diseases: Non-hodgkin lymphoma, B-cell lymphoma
Health Atlas PALs: Markus Löffler
Project Coordinators: No Project coordinators for this Project
Project created: 16th Apr 2019
Related items
- Institutions (3)
- Investigations (17)
- Studies (15)
- Resources (16)
- Publications (74)
- Data files (91+1)
- Models (2)
- People (10)
- Human Diseases (3)
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
Studies: MegaCHOEP Phase III
Resources: No Resources
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
Studies: RICOVER-60
Resources: RICOVER-60 trial data, RICOVER-60 trial metadata
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Snapshots: No snapshots
Studies: SEXIE-R-CHOP-14
Resources: SEXIE-R-CHOP-14 metadata, SEXIE-R-CHOP-14 trial data
Snapshots: No snapshots
Studies: SMARTE-R-CHOP-14
Resources: SMARTE-R-CHOP-14 metadata, SMARTE-R-CHOP-14 trial data
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.
Investigation: MegaCHOEP Phase III
Resources: No Resources
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Sample Size: 189
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: SMARTE-R-CHOP-14
Study: SMARTE-R-CHOP-14
Organisms: No organisms
Human Diseases: B-cell lymphoma
SOPs: No SOPs
Data files: SMARTE-R-CHOP-14 trial data-CSV, SMARTE-R-CHOP-14 trial data-ODM, SMARTE-R-CHOP-14 trial data-SPSS
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Sample Size: 189
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: SMARTE-R-CHOP-14
Study: SMARTE-R-CHOP-14
Organisms: No organisms
Human Diseases: B-cell lymphoma
SOPs: No SOPs
Data files: SMARTE-R-CHOP-14 metadata-ODM, SMARTE-R-CHOP-14 metadata-XLSX
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Sample Size: 268
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: SEXIE-R-CHOP-14
Study: SEXIE-R-CHOP-14
Organisms: No organisms
Human Diseases: diffuse large B-cell lymphoma
SOPs: No SOPs
Data files: SEXIE-R-CHOP-14 trial data-CSV, SEXIE-R-CHOP-14 trial data-ODM, SEXIE-R-CHOP-14 trial data-SPSS
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Sample Size: 268
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: SEXIE-R-CHOP-14
Study: SEXIE-R-CHOP-14
Organisms: No organisms
Human Diseases: diffuse large B-cell lymphoma
SOPs: No SOPs
Data files: SEXIE-R-CHOP-14 metadata-ODM, SEXIE-R-CHOP-14 metadata-XLSX
Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: RICOVER-noRTh
Study: RICOVER-noRTh
Organisms: No organisms
Human Diseases: B-cell lymphoma
SOPs: No SOPs
Data files: RICOVER-noRTh trial data-CSV, RICOVER-noRTh trial data-ODM, RICOVER-noRTh trial data-SPSS
Abstract (Expand)
Authors: Marcus Wagner, Sarah Reinke, René Hänsel, Wolfram Klapper, Ulf-Dietrich Braumann
Date Published: 12th Mar 2020
Publication Type: Journal article
Human Diseases: diffuse large B-cell lymphoma
DOI: 10.1093/gigascience/giaa016
Citation: GigaScience,9(3)
Abstract (Expand)
Authors: H. Loeffler-Wirth, M. Kreuz, L. Hopp, A. Arakelyan, A. Haake, S. B. Cogliatti, A. C. Feller, M. L. Hansmann, D. Lenze, P. Moller, H. K. Muller-Hermelink, E. Fortenbacher, E. Willscher, G. Ott, A. Rosenwald, C. Pott, C. Schwaenen, H. Trautmann, S. Wessendorf, H. Stein, M. Szczepanowski, L. Trumper, M. Hummel, W. Klapper, R. Siebert, M. Loeffler, H. Binder
Date Published: 30th Apr 2019
Publication Type: Not specified
Human Diseases: B-cell lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, Burkitt lymphoma
PubMed ID: 31039827
Citation: Genome Med. 2019 Apr 30;11(1):27. doi: 10.1186/s13073-019-0637-7.
Abstract (Expand)
Authors: C. Lopez, K. Kleinheinz, S. M. Aukema, M. Rohde, S. H. Bernhart, D. Hubschmann, R. Wagener, U. H. Toprak, F. Raimondi, M. Kreuz, S. M. Waszak, Z. Huang, L. Sieverling, N. Paramasivam, J. Seufert, S. Sungalee, R. B. Russell, J. Bausinger, H. Kretzmer, O. Ammerpohl, A. K. Bergmann, H. Binder, A. Borkhardt, B. Brors, A. Claviez, G. Doose, L. Feuerbach, A. Haake, M. L. Hansmann, J. Hoell, M. Hummel, J. O. Korbel, C. Lawerenz, D. Lenze, B. Radlwimmer, J. Richter, P. Rosenstiel, A. Rosenwald, M. B. Schilhabel, H. Stein, S. Stilgenbauer, P. F. Stadler, M. Szczepanowski, M. A. Weniger, M. Zapatka, R. Eils, P. Lichter, M. Loeffler, P. Moller, L. Trumper, W. Klapper, S. Hoffmann, R. Kuppers, B. Burkhardt, M. Schlesner, R. Siebert
Date Published: 29th Mar 2019
Publication Type: Not specified
Human Diseases: lymphoma, Burkitt lymphoma
PubMed ID: 30926794
Citation: Nat Commun. 2019 Mar 29;10(1):1459. doi: 10.1038/s41467-019-08578-3.
Abstract (Expand)
Authors: Q. Shi, N. Schmitz, F. S. Ou, J. G. Dixon, D. Cunningham, M. Pfreundschuh, J. F. Seymour, U. Jaeger, T. M. Habermann, C. Haioun, H. Tilly, H. Ghesquieres, F. Merli, M. Ziepert, R. Herbrecht, J. Flament, T. Fu, B. Coiffier, C. R. Flowers
Date Published: 1st Sep 2018
Publication Type: Not specified
Human Diseases: diffuse large B-cell lymphoma
PubMed ID: 29975624
Citation: J Clin Oncol. 2018 Sep 1;36(25):2593-2602. doi: 10.1200/JCO.2018.77.9124. Epub 2018 Jul 5.
Abstract (Expand)
Authors: M. J. Maurer, T. M. Habermann, Q. Shi, N. Schmitz, D. Cunningham, M. Pfreundschuh, J. F. Seymour, U. Jaeger, C. Haioun, H. Tilly, H. Ghesquieres, F. Merli, M. Ziepert, R. Herbrecht, J. Flament, T. Fu, C. R. Flowers, B. Coiffier
Date Published: 1st Aug 2018
Publication Type: Not specified
Human Diseases: diffuse large B-cell lymphoma
PubMed ID: 29897404
Citation: Ann Oncol. 2018 Aug 1;29(8):1822-1827. doi: 10.1093/annonc/mdy203.
Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma. The first profile had high level of
...
Creator: Maciej Rosolowski
Submitter: Christoph Beger
Data file type: Transcriptomic Data
Human Diseases: diffuse large B-cell lymphoma
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 220 mature aggressive B-cell lymphomas, including a core group of 8 Burkitt's lymphomas that met all World Health Organization (WHO) criteria. A molecular signature for Burkitt's lymphoma was generated, and chromosomal abnormalities were detected with interphase fluorescence in situ hybridization and array-based comparative genomic hybridization.
Creator: Michael Hummel
Submitter: Christoph Beger
Data file type: Genomic Data
Human Diseases: B-cell lymphoma
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Introduction
On this homepage we provide a web-based tool to calculate prognostic scores on haematopoietic toxicity for 6 cycles CHOP-like regimen in patients with aggressive NHL. As we used for this analysis the data collected within the NHL-B1 and NHL-B2 trials of the DSHNHL as described in detail in Pfreundschuh et al. the predictions are valid for similar patient populations.
Description
We offer two types of models. Pre-treatment models include beside the therapy regimen only prognostic
...
Creator: Marita Ziepert
Submitter: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Human Disease: non-Hodgkin lymphoma
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
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
Submitter: René Hänsel
Model type: Not specified
Model format: Matlab package
Environment: Matlab
Organism: Not specified
Human Disease: diffuse large B-cell lymphoma
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Projects: LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, LIFE Heart, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, NLP4CR - Natural Language Processing for Clinical Research, Genetical Statistics and Systems Biology, SepNet - German Competence Network Sepsis, LIFE Child, HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, GGN - German Glioma Network, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, ProstataCA, SMITH - Smart Medical Information Technology for Healthcare, COVID-19 Leipzig, Management of health information systems
Institutions: Institute for Medical Informatics, Statistics and Epidemiology

Roles: Technician
Expertise: Data Management, Data analysis, Python, Html

Projects: LIFE HNC - Head and Neck Cancer Group, LIFE - Leipzig Research Center for Civilization Diseases, LIFE Heart, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML-MYC-SYS, GGN - German Glioma Network
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
Projects: LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, MMML-MYC-SYS, SepNet - German Competence Network Sepsis, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, SMITH - Smart Medical Information Technology for Healthcare, COVID-19 Leipzig, POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig
Prof. Dr. Markus Löffler
Universität Leipzig
Institut für Medizinische Informatik, Statistik und Epidemiologie
Härtelstraße 16-18
04107 Leipzig
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0050745
Definitions: A B-cell lymphoma that is a cancer of B cells presenting as an aggressive tumour which can arise in virtually any part of the body.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_707
Synonyms: B-cell lymphocytic neoplasm
Definitions: A non-Hodgkin lymphoma that has_material_basis_in B cells.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0060060
Definitions: A lymphoma that is characterized as any kind of lymphoma except Hodgkin's lymphoma., OMIM mapping confirmed by DO. [LS].