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The aim of the GC-HNPCC is to improve the cinical care of patients with Lynch syndrome in Germany through a network of specialised university centers providing structured interdisciplinary care. Furthermore, GC-HNPCC collects comprehensive data on patients and families in a standardized manner, in order to promote research on Lynch syndrome.
The German Consortium for Hereditary Non-Polyposis Colorectal Cancer (GC-HNPCC) has been founded in 1999 by the German Cancer Aid and has been funded by the German Cancer Aid until recently. GC-HNPCC currently comprises 6 university centers providing genetic counseling, histopathological and molecular tissue analysis, genetic testing, and specific structured surveillance programs for early cancer detection at each clinical unit, all based on defined standard operating procedures.
Programme: Epidemiology
LHA-ID: 7Q0CEYUJ25-4
Public web page: https://www.imise.uni-leipzig.de/institut/Projekte/Verbundprojekt-Familiaerer-Darmkrebs
Human Diseases: Hereditary breast ovarian cancer syndrome
Leipzig Health Atlas PALs: Christoph Engel
Project Coordinators: No Project coordinators for this Project
Project start date: 1st Jan 1999
Related items
Projects: LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer
Institutions: Institute for Medical Informatics, Statistics and Epidemiology

Expertise: hereditary cancer, biometry, epidemiology
Projects: Leipzig Health Atlas, LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Cancer 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, ProstataCA
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
Projects: LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Heart, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer
Institutions: Institute for Medical Informatics, Statistics and Epidemiology

The PREMM1,2,6 has been developed as a pretest to decide whether patients suspected of having Lynch syndrome should be tested for germline mismatch repair gene mutations.
"PREMM1,2,6" is a logistic regression model. It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (for single genes and overall) based on the personal and familial cancer history of the proband (colorectal, endometrial, and other Lynch syndrome related cancers).
Creators: Christoph Engel, Silke Zachariae, Kastrinos et al.
Contributor: Silke Zachariae
Model type: Not specified
Model format: Not specified
Environment: Not specified
Human Disease: hereditary breast ovarian cancer syndrome
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
The PREMM5 has been developed as a pretest to decide whether patients suspected of having Lynch syndrome should be tested for germline mismatch repair gene mutations. In contrast to "PREMM1,2,6" it can be used to predict mutation probabilities in unaffected index patients.
"PREMM5" is a logistic regression model. It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2/EPCAM, MSH6 and PMS2 (for single genes and overall) based on the personal and familial cancer history
...
Creators: Christoph Engel, Silke Zachariae, Kastrinos et al.
Contributor: Silke Zachariae
Model type: Not specified
Model format: Not specified
Environment: Not specified
Human Disease: hereditary breast ovarian cancer syndrome
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Abstract (Expand)
Authors: M. Kloth, V. Ruesseler, Christoph Engel, K. Koenig, M. Peifer, E. Mariotti, H. Kuenstlinger, A. Florin, U. Rommerscheidt-Fuss, U. Koitzsch, C. Wodtke, F. Ueckeroth, S. Holzapfel, S. Aretz, P. Propping, Markus Löffler, S. Merkelbach-Bruse, M. Odenthal, N. Friedrichs, L. C. Heukamp, T. Zander, R. Buettner
PubMed ID: 26001389
Citation: Gut. 2016 Aug;65(8):1296-305. doi: 10.1136/gutjnl-2014-309026. Epub 2015 Apr 28.
Abstract (Expand)
Authors: V. Steinke, S. Holzapfel, Markus Löffler, E. Holinski-Feder, M. Morak, H. K. Schackert, H. Gorgens, C. Pox, B. Royer-Pokora, M. von Knebel-Doeberitz, R. Buttner, P. Propping, Christoph Engel
PubMed ID: 24493211
Citation: Int J Cancer. 2014 Jul 1;135(1):69-77. doi: 10.1002/ijc.28650. Epub 2014 Feb 20.
Abstract (Expand)
Authors: Christoph Engel, Markus Löffler, V. Steinke, N. Rahner, E. Holinski-Feder, W. Dietmaier, H. K. Schackert, H. Goergens, M. von Knebel Doeberitz, T. O. Goecke, W. Schmiegel, R. Buettner, G. Moeslein, T. G. Letteboer, E. Gomez Garcia, F. J. Hes, N. Hoogerbrugge, F. H. Menko, T. A. van Os, R. H. Sijmons, A. Wagner, I. Kluijt, P. Propping, H. F. Vasen
PubMed ID: 23091106
Citation: J Clin Oncol. 2012 Dec 10;30(35):4409-15. doi: 10.1200/JCO.2012.43.2278. Epub 2012 Oct 22.