cancer

Details about this human disease

Synonyms (3)

malignant tumor , malignant neoplasm, primary cancer


Definitions (2)

Updating out dated UMLS CUI., A disease of cellular proliferation that is malignant and primary, characterized by uncontrolled cellular proliferation, local cell invasion and metastasis.


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Human Disease Hierarchy

Related items

LIFE HNC - Head and Neck Cancer Group

The aim of the Head and Neck Group within the Leipzig Research Center for Civilization Diseases (LIFE) is to facilitate improvements in the treatment and care of head and neck cancer patients through insights from molecular studies.

The Head and Neck Group within the Leipzig Research Center for Civilization Diseases (LIFE) investigates the molecular mechanisms and the diagnostic and prognostic factors of head and neck cancer. For this purpose, we collected phenotypic information from about 300 ...

Programme: LIFE Management Cluster

Public web page: http://life.uni-leipzig.de/

Start date: 1st Jan 2012

End date: 31st Dec 2012

GGN - German Glioma Network

During 2004 and 2012 the german cancer aid supported the german glioma network (GGN). The GGN is a consortium where university hospitals with clinical focus in neuro-oncology, reference centers for neuroradiology, neuropathology, molecular diagnostics and biometry cooperate. Thanks to the long-term support it was possible to build a network of competence centers for the treatment of brain tumors in Germany wich is characterized by a interdisciplinary collaboration of all specialist disciplines ...

Programme: Glioma

Public web page: http://www.gliomnetzwerk.de/

Start date: 1st Jan 2004

LivSys Transfer - Transfer of the LivSys in vitro system for hepatotoxicity into application

The aim of this project is to validate and improve an in vitro test system developed in a previous project for the prediction of hepatotoxicity induced by chemical substances and drugs. For this purpose, the test system will be supplemented with immunological cells in order to be able to detect idiosyncratic reactions. In the subproject of the working group of Prof. Daniel Seehofer and Dr. Georg Damm, primary liver cells will be provided and the in vitro model will be improved by Kupffer cells.

Programme: This Project is not associated with a Programme

Public web page: Not specified

Start date: 1st Feb 2017

End date: 31st Dec 2020

ProstataCA
No description specified

Programme: This Project is not associated with a Programme

Public web page: Not specified

MMML - Molecular mechanisms in malignant lymphoma

During 2003 and 2011 the german cancer aid funded the molecular mechanisms in malignant lymphomas (MMML) project. It is based on strongly interacting networks of reference pathologists, lymphoma scientists, bioinformaticians and clinical trial groups. Within the project about 1000 lymphoma samples and controls were characterized by gene expression and copy number arrays. The datasets were supplemented by extensive histopathological and clinical descriptions of the lymphoma cases. The aim of the ...

Programme: This Project is not associated with a Programme

Public web page: Not specified

HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles

The central objective of HaematoOpt project is to demonstrate that recently developed dynamic mathematical models of normal and leukemic hematopoiesis can be used to practically impact clinical decision- making

Programme: This Project is not associated with a Programme

Public web page: https://haematoopt.de/

MMML-MYC-SYS

MMML-MYC-SYS is a interdisciplinary consortium where partners from clinical haemaoncological study groups, pathologists, geneticicts, cell biologists as well as mathematicians, statisticians and bioinformaticists have allied. The goal is to investigate the process of development of B-cell lymphoma under special consideration of mutation of MYC. MYC is known to support the development and growth of tumors. This consortium collected and evaluated comprehensive molecular-genetic data for this purpose. ...

Programme: This Project is not associated with a Programme

Public web page: http://www.mmmlmycsys.de/

Start date: 1st Jan 2013

MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine

The joint project "MMML Demonstrators" deals with improvements in the diagnosis and therapy of lymphoma and consists of seven subprojects. In lymphoma, the so-called diffuse large cell B-cell lymphomas (DLBCL) are responsible for the highest number of deaths. Although the disease is curable in principle, approximately one third of patients still die. However, the expression of certain genes in tumor cells and surrounding tissues can be used to diagnose certain subgroups of these tumors and, in ...

Programme: This Project is not associated with a Programme

Public web page: https://www.sys-med.de/de/demonstratoren/mmml-demonstrators/

Start date: 1st Jan 2015

End date: 31st Dec 2018

Leipzig Melanoma Studies

The Leipzig Melanoma Studies project consists of studies of the Department of Dermatology, Venereology and Allergology (Leipzig University), Interdisciplinary Center for Bioinformatics (IZBI, Leipzig University) and the Max Planck Institute for Evolutionary Anthropology Leipzig. Single cell transcriptome analyses of melanoma cases and cultures where preformed in the studies.

Programme: This Project is not associated with a Programme

Public web page: Not specified

Start date: 1st Jan 2016

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome
No description specified

Programme: This Project is not associated with a Programme

Public web page: Not specified

HNSCC Clinical Dataset
LIFE HNC - Head and Neck Cancer Group
No description specified

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: head and neck squamous cell carcinomas

Study: HNSCC

HNSCC OMICS Data
LIFE HNC - Head and Neck Cancer Group
No description specified

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: head and neck squamous cell carcinomas

Study: HNSCC

SMARTE-R-CHOP-14 trial data
GLA - German Lymphoma Alliance

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

Investigation: SMARTE-R-CHOP-14

Study: SMARTE-R-CHOP-14

SMARTE-R-CHOP-14 metadata
GLA - German Lymphoma Alliance

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

Investigation: SMARTE-R-CHOP-14

Study: SMARTE-R-CHOP-14

SEXIE-R-CHOP-14 trial data
GLA - German Lymphoma Alliance

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

Investigation: SEXIE-R-CHOP-14

Study: SEXIE-R-CHOP-14

SEXIE-R-CHOP-14 metadata
GLA - German Lymphoma Alliance

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

Investigation: SEXIE-R-CHOP-14

Study: SEXIE-R-CHOP-14

RICOVER-noRTh trial data
GLA - German Lymphoma Alliance

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

Investigation: RICOVER-noRTh

Study: RICOVER-noRTh

RICOVER-noRTh metadata
GLA - German Lymphoma Alliance
No description specified

Submitter: René Hänsel

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: RICOVER-noRTh

Study: RICOVER-noRTh

RICOVER-60 trial metadata
GLA - German Lymphoma Alliance

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

Investigation: RICOVER-60

Study: RICOVER-60

RICOVER-60 trial data
GLA - German Lymphoma Alliance

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

Investigation: RICOVER-60

Study: RICOVER-60

1 hidden item
In Vivo and In Vitro Characterization of Primary Human Liver Macrophages and Their Inflammatory State
LivSys Transfer - Transfer of the LivSys in vitro system for hepatotoxicity into application

Abstract (Expand)

Liver macrophages (LMs) play a central role in acute and chronic liver pathologies. Investigation of these processes in humans as well as the development of diagnostic tools and new therapeutic strategies … require in vitro models that closely resemble the in vivo situation. In our study, we sought to gain further insight into the role of LMs in different liver pathologies and into their characteristics after isolation from liver tissue. For this purpose, LMs were characterized in human liver tissue sections using immunohistochemistry and bioinformatic image analysis. Isolated cells were characterized in suspension using FACS analyses and in culture using immunofluorescence staining and laser scanning microscopy as well as functional assays. The majority of our investigated liver tissues were characterized by anti-inflammatory LMs which showed a homogeneous distribution and increased cell numbers in correlation with chronic liver injuries. In contrast, pro-inflammatory LMs appeared as temporary and locally restricted reactions. Detailed characterization of isolated macrophages revealed a complex disease dependent pattern of LMs consisting of pro- and anti-inflammatory macrophages of different origins, regulatory macrophages and monocytes. Our study showed that in most cases the macrophage pattern can be transferred in adherent cultures. The observed exceptions were restricted to LMs with pro-inflammatory characteristics.

Authors: Andrea Zimmermann, René Hänsel, Kilian Gemünden, Victoria Kegel-Hübner, Jonas Babel, Hendrik Bläker, Madlen Matz-Soja, Daniel Seehofer, Georg Damm

Date Published: 1st Apr 2021

Publication Type: Journal article

Human Diseases: liver disease, liver cancer

Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND The effect of risk-reducing salpingo-oophorectomy (RRSO) on breast cancer risk for BRCA1 and BRCA2 mutation carriers is uncertain. Retrospective analyses have suggested a protective effect …t but may be substantially biased. Prospective studies have had limited power, particularly for BRCA2 mutation carriers. Further, previous studies have not considered the effect of RRSO in the context of natural menopause. METHODS A multi-centre prospective cohort of 2272 BRCA1 and 1605 BRCA2 mutation carriers was followed for a mean of 5.4 and 4.9 years, respectively; 426 women developed incident breast cancer. RRSO was modelled as a time-dependent covariate in Cox regression, and its effect assessed in premenopausal and postmenopausal women. RESULTS There was no association between RRSO and breast cancer for BRCA1 (HR = 1.23; 95% CI 0.94-1.61) or BRCA2 (HR = 0.88; 95% CI 0.62-1.24) mutation carriers. For BRCA2 mutation carriers, HRs were 0.68 (95% CI 0.40-1.15) and 1.07 (95% CI 0.69-1.64) for RRSO carried out before or after age 45 years, respectively. The HR for BRCA2 mutation carriers decreased with increasing time since RRSO (HR = 0.51; 95% CI 0.26-0.99 for 5 years or longer after RRSO). Estimates for premenopausal women were similar. CONCLUSION We found no evidence that RRSO reduces breast cancer risk for BRCA1 mutation carriers. A potentially beneficial effect for BRCA2 mutation carriers was observed, particularly after 5 years following RRSO. These results may inform counselling and management of carriers with respect to RRSO.

Authors: Nasim Mavaddat, Antonis C. Antoniou, Thea M. Mooij, Maartje J. Hooning, Bernadette A. Heemskerk-Gerritsen, Catherine Noguès, Marion Gauthier-Villars, Olivier Caron, Paul Gesta, Pascal Pujol, Alain Lortholary, Daniel Barrowdale, Debra Frost, D. Gareth Evans, Louise Izatt, Julian Adlard, Ros Eeles, Carole Brewer, Marc Tischkowitz, Alex Henderson, Jackie Cook, Diana Eccles, Klaartje van Engelen, Marian J. E. Mourits, Margreet G. E. M. Ausems, Linetta B. Koppert, John L. Hopper, Esther M. John, Wendy K. Chung, Irene L. Andrulis, Mary B. Daly, Saundra S. Buys, Javier Benitez, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Yen Tan, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Flora E. van Leeuwen, Brita Arver, Håkan Olsson, Rita K. Schmutzler, Christoph Engel, Karin Kast, Kelly-Anne Phillips, Mary Beth Terry, Roger L. Milne, David E. Goldgar, Matti A. Rookus, Nadine Andrieu, Douglas F. Easton

Date Published: 1st Dec 2020

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Correction to: Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract

After publication of the original article [1], we were notified that columns in Table 2 were erroneously displayed.

Authors: Nasim Mavaddat, Antonis C. Antoniou, Thea M. Mooij, Maartje J. Hooning, Bernadette A. Heemskerk-Gerritsen, Catherine Noguès, Marion Gauthier-Villars, Olivier Caron, Paul Gesta, Pascal Pujol, Alain Lortholary, Daniel Barrowdale, Debra Frost, D. Gareth Evans, Louise Izatt, Julian Adlard, Ros Eeles, Carole Brewer, Marc Tischkowitz, Alex Henderson, Jackie Cook, Diana Eccles, Klaartje van Engelen, Marian J. E. Mourits, Margreet G. E. M. Ausems, Linetta B. Koppert, John L. Hopper, Esther M. John, Wendy K. Chung, Irene L. Andrulis, Mary B. Daly, Saundra S. Buys, Javier Benitez, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Yen Tan, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Flora E. van Leeuwen, Brita Arver, Håkan Olsson, Rita K. Schmutzler, Christoph Engel, Karin Kast, Kelly-Anne Phillips, Mary Beth Terry, Roger L. Milne, David E. Goldgar, Matti A. Rookus, Nadine Andrieu, Douglas F. Easton

Date Published: 1st Dec 2020

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Characterization of the Cancer Spectrum in Men With Germline BRCA1 and BRCA2 Pathogenic Variants: Results From the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA)
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

Importance The limited data on cancer phenotypes in men with germline BRCA1 and BRCA2 pathogenic variants (PVs) have hampered the development of evidence-based recommendations for early cancer detection …n and risk reduction in this population. Objective To compare the cancer spectrum and frequencies between male BRCA1 and BRCA2 PV carriers. Design, Setting, and Participants Retrospective cohort study of 6902 men, including 3651 BRCA1 and 3251 BRCA2 PV carriers, older than 18 years recruited from cancer genetics clinics from 1966 to 2017 by 53 study groups in 33 countries worldwide collaborating through the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Clinical data and pathologic characteristics were collected. Main Outcomes and Measures BRCA1/2 status was the outcome in a logistic regression, and cancer diagnoses were the independent predictors. All odds ratios (ORs) were adjusted for age, country of origin, and calendar year of the first interview. Results Among the 6902 men in the study (median [range] age, 51.6 [18-100] years), 1634 cancers were diagnosed in 1376 men (19.9%), the majority (922 of 1,376 [67%]) being BRCA2 PV carriers. Being affected by any cancer was associated with a higher probability of being a BRCA2, rather than a BRCA1, PV carrier (OR, 3.23; 95% CI, 2.81-3.70; P \textless .001), as well as developing 2 (OR, 7.97; 95% CI, 5.47-11.60; P \textless .001) and 3 (OR, 19.60; 95% CI, 4.64-82.89; P \textless .001) primary tumors. A higher frequency of breast (OR, 5.47; 95% CI, 4.06-7.37; P \textless .001) and prostate (OR, 1.39; 95% CI, 1.09-1.78; P = .008) cancers was associated with a higher probability of being a BRCA2 PV carrier. Among cancers other than breast and prostate, pancreatic cancer was associated with a higher probability (OR, 3.00; 95% CI, 1.55-5.81; P = .001) and colorectal cancer with a lower probability (OR, 0.47; 95% CI, 0.29-0.78; P = .003) of being a BRCA2 PV carrier. Conclusions and Relevance Significant differences in the cancer spectrum were observed in male BRCA2, compared with BRCA1, PV carriers. These data may inform future recommendations for surveillance of BRCA1/2-associated cancers and guide future prospective studies for estimating cancer risks in men with BRCA1/2 PVs.

Authors: Valentina Silvestri, Goska Leslie, Daniel R. Barnes, Bjarni A. Agnarsson, Kristiina Aittomäki, Elisa Alducci, Irene L. Andrulis, Rosa B. Barkardottir, Alicia Barroso, Daniel Barrowdale, Javier Benitez, Bernardo Bonanni, Ake Borg, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Carlo Capalbo, Ian Campbell, Wendy K. Chung, Kathleen B. M. Claes, Sarah V. Colonna, Laura Cortesi, Fergus J. Couch, Miguel de La Hoya, Orland Diez, Yuan Chun Ding, Susan Domchek, Douglas F. Easton, Bent Ejlertsen, Christoph Engel, D. Gareth Evans, Lidia Feliubadalò, Lenka Foretova, Florentia Fostira, Lajos Géczi, Anne-Marie Gerdes, Gord Glendon, Andrew K. Godwin, David E. Goldgar, Eric Hahnen, Frans B. L. Hogervorst, John L. Hopper, Peter J. Hulick, Claudine Isaacs, Angel Izquierdo, Paul A. James, Ramunas Janavicius, Uffe Birk Jensen, Esther M. John, Vijai Joseph, Irene Konstantopoulou, Allison W. Kurian, Ava Kwong, Elisabetta Landucci, Fabienne Lesueur, Jennifer T. Loud, Eva Machackova, Phuong L. Mai, Keivan Majidzadeh-A, Siranoush Manoukian, Marco Montagna, Lidia Moserle, Anna Marie Mulligan, Katherine L. Nathanson, Heli Nevanlinna, Joanne Ngeow Yuen Ye, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Ana Osorio, Laura Papi, Sue K. Park, Inge Sokilde Pedersen, Pedro Perez-Segura, Annabeth H. Petersen, Pedro Pinto, Berardino Porfirio, Miquel Angel Pujana, Paolo Radice, Johanna Rantala, Muhammad U. Rashid, Barak Rosenzweig, Maria Rossing, Marta Santamariña, Rita K. Schmutzler, Leigha Senter, Jacques Simard, Christian F. Singer, Angela R. Solano, Melissa C. Southey, Linda Steele, Zoe Steinsnyder, Dominique Stoppa-Lyonnet, Yen Yen Tan, Manuel R. Teixeira, Soo H. Teo, Mary Beth Terry, Mads Thomassen, Amanda E. Toland, Sara Torres-Esquius, Nadine Tung, Christi J. van Asperen, Ana Vega, Alessandra Viel, Jeroen Vierstraete, Barbara Wappenschmidt, Jeffrey N. Weitzel, Greet Wieme, Sook-Yee Yoon, Kristin K. Zorn, Lesley McGuffog, Michael T. Parsons, Ute Hamann, Mark H. Greene, Judy A. Kirk, Susan L. Neuhausen, Timothy R. Rebbeck, Marc Tischkowitz, Georgia Chenevix-Trench, Antonis C. Antoniou, Eitan Friedman, Laura Ottini

Date Published: 2nd Jul 2020

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but … analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer.

Authors: Helian Feng, Alexander Gusev, Bogdan Pasaniuc, Lang Wu, Jirong Long, Zomoroda Abu-Full, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Adalgeir Arason, Volker Arndt, Kristan J. Aronson, Banu K. Arun, Ella Asseryanis, Paul L. Auer, Jacopo Azzollini, Judith Balmaña, Rosa B. Barkardottir, Daniel R. Barnes, Daniel Barrowdale, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Katarzyna Białkowska, Ana Blanco, Carl Blomqvist, Bram Boeckx, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Ake Borg, Hiltrud Brauch, Hermann Brenner, Ignacio Briceno, Annegien Broeks, Thomas Brüning, Barbara Burwinkel, Qiuyin Cai, Trinidad Caldés, Maria A. Caligo, Ian Campbell, Sander Canisius, Daniele Campa, Brian D. Carter, Jonathan Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Hans Christiansen, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Miguel de La Hoya, Kim de Leeneer, Joe Dennis, Peter Devilee, Orland Diez, Susan M. Domchek, Thilo Dörk, Isabel Dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, Bent Ejlertsen, Carolina Ellberg, Christoph Engel, Mikael Eriksson, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Florentia Fostira, Eitan Friedman, Lin Fritschi, Debra Frost, Marike Gabrielson, Patricia A. Ganz, Susan M. Gapstur, Judy Garber, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Graham G. Giles, Gord Glendon, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Ute Hamann, Christopher Hake, Wei He, Jane Heyworth, Frans B. L. Hogervorst, Antoinette Hollestelle, Maartje J. Hooning, Robert N. Hoover, John L. Hopper, Guanmengqian Huang, Peter J. Hulick, Keith Humphreys, Evgeny N. Imyanitov, Claudine Isaacs, Milena Jakimovska, Anna Jakubowska, Paul James, Ramunas Janavicius, Rachel C. Jankowitz, Esther M. John, Nichola Johnson, Vijai Joseph, Audrey Jung, Beth Y. Karlan, Elza Khusnutdinova, Johanna I. Kiiski, Irene Konstantopoulou, Vessela N. Kristensen, Yael Laitman, Diether Lambrechts, Conxi Lazaro, Dominique Leroux, Goska Leslie, Jenny Lester, Fabienne Lesueur, Noralane Lindor, Sara Lindström, Wing-Yee Lo, Jennifer T. Loud, Jan Lubiński, Enes Makalic, Arto Mannermaa, Mehdi Manoochehri, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Maria E. Martinez, Laura Matricardi, Tabea Maurer, Dimitrios Mavroudis, Lesley McGuffog, Alfons Meindl, Usha Menon, Kyriaki Michailidou, Pooja M. Kapoor, Austin Miller, Marco Montagna, Fernando Moreno, Lidia Moserle, Anna M. Mulligan, Taru A. Muranen, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Ines Nevelsteen, Finn C. Nielsen, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Håkan Olsson, Ana Osorio, Janos Papp, Tjoung-Won Park-Simon, Michael T. Parsons, Inge S. Pedersen, Ana Peixoto, Paolo Peterlongo, Julian Peto, Paul D. P. Pharoah, Kelly-Anne Phillips, Dijana Plaseska-Karanfilska, Bruce Poppe, Nisha Pradhan, Karolina Prajzendanc, Nadege Presneau, Kevin Punie, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Harvey A. Risch, Mark Robson, Atocha Romero, Emmanouil Saloustros, Dale P. Sandler, Catarina Santos, Elinor J. Sawyer, Marjanka K. Schmidt, Daniel F. Schmidt, Rita K. Schmutzler, Minouk J. Schoemaker, Rodney J. Scott, Priyanka Sharma, Xiao-Ou Shu, Jacques Simard, Christian F. Singer, Anne-Bine Skytte, Penny Soucy, Melissa C. Southey, John J. Spinelli, Amanda B. Spurdle, Jennifer Stone, Anthony J. Swerdlow, William J. Tapper, Jack A. Taylor, Manuel R. Teixeira, Mary Beth Terry, Alex Teulé, Mads Thomassen, Kathrin Thöne, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Rob A. E. M. Tollenaar, Diana Torres, Thérèse Truong, Nadine Tung, Celine M. Vachon, Christi J. van Asperen, Ans M. W. van den Ouweland, Elizabeth J. van Rensburg, Ana Vega, Alessandra Viel, Paula Vieiro-Balo, Qin Wang, Barbara Wappenschmidt, Clarice R. Weinberg, Jeffrey N. Weitzel, Camilla Wendt, Robert Winqvist, Xiaohong R. Yang, Drakoulis Yannoukakos, Argyrios Ziogas, Roger L. Milne, Douglas F. Easton, Georgia Chenevix-Trench, Wei Zheng, Peter Kraft, Xia Jiang

Date Published: 1st Jul 2020

Publication Type: Journal article

Human Diseases: breast cancer

Alemtuzumab plus CHOP versus CHOP in elderly patients with peripheral T-cell lymphoma: the DSHNHL2006-1B/ACT-2 trial.
GLA - German Lymphoma Alliance

Abstract (Expand)

PTCL patients exhibit poor survival with existing treatments. We investigated the efficacy of CHOP combined with alemtuzumab in 116 PTCL patients age 61-80 in an open-label, randomized phase 3 trial. … Alemtuzumab was given on day 1, to a total of 360 mg in 21 patients, or 120 mg in 37. Hematotoxicity was increased with A-CHOP resulting in more grade >/=3 infections (40% versus 21%) and 4 versus 1 death due to infections, respectively. CR/CRu rate was 60% for A-CHOP and 43% for CHOP, and OR rate was 72% and 66%, respectively. Three-year-EFS, PFS and OS were 27% [15%-39%], 28% [15%-40%], and 37% ([23%-50%] for A-CHOP, and 24% [12%-35%], 29% [17%-41%], and 56% [44%-69%] for CHOP, respectively, showing no significant differences. Multivariate analyses, adjusted for strata and sex confirmed these results (hazard ratio HREFS: 0.7 ([95% CI: 0.5-1.1]; p = 0.094), HRPFS: 0.8 ([95% CI: 0.5-1.2]; p = 0.271), HROS: 1.4 ([95% CI: 0.9-2.4]; p = 0.154). The IPI score was validated, and male sex (HREFS 2.5) and bulky disease (HREFS 2.2) were significant risk factors for EFS, PFS, and OS. Alemtuzumab added to CHOP increased response rates, but did not improve survival due to treatment-related toxicity.

Authors: G. G. Wulf, B. Altmann, M. Ziepert, F. D'Amore, G. Held, R. Greil, O. Tournilhac, T. Relander, A. Viardot, M. Wilhelm, C. Wilhelm, A. Pezzutto, J. M. Zijlstra, E. V. D. Neste, P. J. Lugtenburg, J. K. Doorduijn, M. V. Gelder, G. W. van Imhoff, F. Zettl, F. Braulke, M. Nickelsen, B. Glass, A. Rosenwald, P. Gaulard, M. Loeffler, M. Pfreundschuh, N. Schmitz, L. Trumper

Date Published: 10th May 2020

Publication Type: Journal article

Human Diseases: lymphoma, peripheral T-cell lymphoma

An image dataset related to automated macrophage detection in immunostained lymphoma tissue samples
MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine

Abstract (Expand)

A large set of IHC stained DLBCL specimens is provided together with segmentation masks for different cell populations generated by a reference method for automated image analysis, thus featuring … considerable reuse potential. Provided image data comprise a) fluorescence microscopy images of 44 multiple immunohistostained DLBCL tumor subregions, captured at four channels corresponding to CD14, CD163, Pax5 and DAPI; b) cartoon-filtered versions of these images, generated by Rudin-Osher-Fatemi (ROF) denoising; c) an automatically generated mask of the evaluation subregion, based on information from the DAPI channel, and d) automatically generated segmentation masks for macrophages, B-cells and the total of cell nuclei, using information from CD14, CD163, Pax5 and DAPI channels, respectively.

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

Cancer Risks Associated With Germline PALB2 Pathogenic Variants: An International Study of 524 Families
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

PURPOSE To estimate age-specific relative and absolute cancer risks of breast cancer and to estimate risks of ovarian, pancreatic, male breast, prostate, and colorectal cancers associated with germline …e PALB2 pathogenic variants (PVs) because these risks have not been extensively characterized. METHODS We analyzed data from 524 families with PALB2 PVs from 21 countries. Complex segregation analysis was used to estimate relative risks (RRs; relative to country-specific population incidences) and absolute risks of cancers. The models allowed for residual familial aggregation of breast and ovarian cancer and were adjusted for the family-specific ascertainment schemes. RESULTS We found associations between PALB2 PVs and risk of female breast cancer (RR, 7.18; 95% CI, 5.82 to 8.85; P = 6.5 \times 10-76), ovarian cancer (RR, 2.91; 95% CI, 1.40 to 6.04; P = 4.1 \times 10-3), pancreatic cancer (RR, 2.37; 95% CI, 1.24 to 4.50; P = 8.7 \times 10-3), and male breast cancer (RR, 7.34; 95% CI, 1.28 to 42.18; P = 2.6 \times 10-2). There was no evidence for increased risks of prostate or colorectal cancer. The breast cancer RRs declined with age (P for trend = 2.0 \times 10-3). After adjusting for family ascertainment, breast cancer risk estimates on the basis of multiple case families were similar to the estimates from families ascertained through population-based studies (P for difference = .41). On the basis of the combined data, the estimated risks to age 80 years were 53% (95% CI, 44% to 63%) for female breast cancer, 5% (95% CI, 2% to 10%) for ovarian cancer, 2%-3% (95% CI females, 1% to 4%; 95% CI males, 2% to 5%) for pancreatic cancer, and 1% (95% CI, 0.2% to 5%) for male breast cancer. CONCLUSION These results confirm PALB2 as a major breast cancer susceptibility gene and establish substantial associations between germline PALB2 PVs and ovarian, pancreatic, and male breast cancers. These findings will facilitate incorporation of PALB2 into risk prediction models and optimize the clinical cancer risk management of PALB2 PV carriers.

Authors: Xin Yang, Goska Leslie, Alicja Doroszuk, Sandra Schneider, Jamie Allen, Brennan Decker, Alison M. Dunning, James Redman, James Scarth, Inga Plaskocinska, Craig Luccarini, Mitul Shah, Karen Pooley, Leila Dorling, Andrew Lee, Muriel A. Adank, Julian Adlard, Kristiina Aittomäki, Irene L. Andrulis, Peter Ang, Julian Barwell, Jonine L. Bernstein, Kristie Bobolis, Åke Borg, Carl Blomqvist, Kathleen B. M. Claes, Patrick Concannon, Adeline Cuggia, Julie O. Culver, Francesca Damiola, Antoine de Pauw, Orland Diez, Jill S. Dolinsky, Susan M. Domchek, Christoph Engel, D. Gareth Evans, Florentia Fostira, Judy Garber, Lisa Golmard, Ellen L. Goode, Stephen B. Gruber, Eric Hahnen, Christopher Hake, Tuomas Heikkinen, Judith E. Hurley, Ramunas Janavicius, Zdenek Kleibl, Petra Kleiblova, Irene Konstantopoulou, Anders Kvist, Holly Laduca, Ann S. G. Lee, Fabienne Lesueur, Eamonn R. Maher, Arto Mannermaa, Siranoush Manoukian, Rachel McFarland, Wendy McKinnon, Alfons Meindl, Kelly Metcalfe, Nur Aishah Mohd Taib, Jukka Moilanen, Katherine L. Nathanson, Susan Neuhausen, Pei Sze Ng, Tu Nguyen-Dumont, Sarah M. Nielsen, Florian Obermair, Kenneth Offit, Olufunmilayo I. Olopade, Laura Ottini, Judith Penkert, Katri Pylkäs, Paolo Radice, Susan J. Ramus, Vilius Rudaitis, Lucy Side, Rachel Silva-Smith, Valentina Silvestri, Anne-Bine Skytte, Thomas Slavin, Jana Soukupova, Carlo Tondini, Alison H. Trainer, Gary Unzeitig, Lydia Usha, Thomas van Overeem Hansen, James Whitworth, Marie Wood, Cheng Har Yip, Sook-Yee Yoon, Amal Yussuf, George Zogopoulos, David Goldgar, John L. Hopper, Georgia Chenevix-Trench, Paul Pharoah, Sophia H. L. George, Judith Balmaña, Claude Houdayer, Paul James, Zaki El-Haffaf, Hans Ehrencrona, Marketa Janatova, Paolo Peterlongo, Heli Nevanlinna, Rita Schmutzler, Soo-Hwang Teo, Mark Robson, Tuya Pal, Fergus Couch, Jeffrey N. Weitzel, Aaron Elliott, Melissa Southey, Robert Winqvist, Douglas F. Easton, William D. Foulkes, Antonis C. Antoniou, Marc Tischkowitz

Date Published: 1st Mar 2020

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Ovarian and breast cancer risks associated with pathogenic variants in RAD51C and RAD51D
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND The purpose of this study was to estimate precise age-specific tubo-ovarian carcinoma (TOC) and breast cancer (BC) risks for carriers of pathogenic variants in RAD51C and RAD51D. METHODS We … We analysed data from 6178 families, 125 with pathogenic variants in RAD51C; and 6690 families, 60 with pathogenic variants in RAD51D. TOC and BC relative and cumulative risks were estimated using complex segregation analysis to model the cancer inheritance patterns in families, while adjusting for the mode of ascertainment of each family. All statistical tests were two-sided. RESULTS Pathogenic variants in both RAD51C and RAD51D were associated with TOC (RAD51C RR = 7.55, 95%CI:5.60-10.19, p = 5 \times 10-40; RAD51D RR = 7.60, 95%CI:5.61-10.30, p = 5 \times 10-39) and BC (RAD51C RR = 1.99, 95%CI:1.39-2.85, p = 1.55 \times 10-4; RAD51D RR = 1.83, 95%CI:1.24-2.72, p = 0.002). For both RAD51C and RAD51D, there was a suggestion that the TOC RRs increased with age until around age 60 years and decreased thereafter. The estimated cumulative risks of developing TOC to age 80 were 11% (95%CI:6-21%) for RAD51C and 13% (95%CI:7-23%) for RAD51D pathogenic variant carriers. The estimated cumulative risks of developing BC to 80 were 21% (95%CI:15-29%) for RAD51C and 20% (95%CI:14-28%) for RAD51D pathogenic variant carriers. Both TOC and BC risks for RAD51C/D pathogenic variant carriers varied by cancer family history, and could be as high as 32-36% for TOC, for carriers with two first degree relatives diagnosed with TOC; or 44-46% for BC, for carriers with two first degree relatives diagnosed with BC. CONCLUSIONS These estimates will facilitate the genetic counselling of RAD51C and RAD51D pathogenic variant carriers and justify the incorporation of RAD51C and RAD51D into cancer risk prediction models.

Authors: Xin Yang, Honglin Song, Goska Leslie, Christoph Engel, Eric Hahnen, Bernd Auber, Judit Horváth, Karin Kast, Dieter Niederacher, Clare Turnbull, Richard Houlston, Helen Hanson, Chey Loveday, Jill S. Dolinsky, Holly Laduca, Susan J. Ramus, Usha Menon, Adam N. Rosenthal, Ian Jacobs, Simon A. Gayther, Ed Dicks, Heli Nevanlinna, Kristiina Aittomäki, Liisa M. Pelttari, Hans Ehrencrona, Åke Borg, Anders Kvist, Barbara Rivera, Thomas v. O. Hansen, Malene Djursby, Andrew Lee, Joe Dennis, David D. Bowtell, Nadia Traficante, Orland Diez, Judith Balmaña, Stephen B. Gruber, Georgia Chenevix-Trench, Allan Jensen, Susanne K. Kjær, Estrid Høgdall, Laurent Castéra, Judy Garber, Ramunas Janavicius, Ana Osorio, Lisa Golmard, Ana Vega, Fergus J. Couch, Mark Robson, Jacek Gronwald, Susan M. Domchek, Julie O. Culver, Miguel de La Hoya, Douglas F. Easton, William D. Foulkes, Marc Tischkowitz, Alfons Meindl, Rita K. Schmutzler, Paul D. P. Pharoah, Antonis C. Antoniou

Date Published: 28th Feb 2020

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Alcohol consumption, cigarette smoking, and risk of breast cancer for BRCA1 and BRCA2 mutation carriers: results from The BRCA1 and BRCA2 Cohort Consortium
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND Tobacco smoking and alcohol consumption have been intensively studied in the general population to assess their effects on the risk of breast cancer (BC), but very few studies have examined …d these effects in BRCA1 and BRCA2 mutation carriers. Given the high BC risk for mutation carriers and the importance of BRCA1 and BRCA2 in DNA repair, better evidence on the associations of these lifestyle factors with BC risk is essential. METHODS Using a large international pooled cohort of BRCA1 and BRCA2 mutation carriers, we conducted retrospective (5,707 BRCA1 mutation carriers; 3,525 BRCA2 mutation carriers) and prospective (2,276 BRCA1 mutation carriers; 1,610 BRCA2 mutation carriers) analyses of alcohol and tobacco consumption using Cox proportional hazards models. RESULTS For both BRCA1 and BRCA2 mutation carriers, none of the smoking-related variables was associated with BC risk, except smoking for more than five years before a first full-term pregnancy (FFTP) when compared to parous women who never smoked. For BRCA1 mutation carriers, the HR from retrospective analysis (HRR) was 1.19 (95%CI:1.02,1.39) and the HR from prospective analysis (HRP) was 1.36 (95%CI:0.99,1.87). For BRCA2 mutation carriers, smoking for more than five years before a FFTP showed an association of a similar magnitude, but the confidence limits were wider (HRR=1.25,95%CI:1.01,1.55 and HRP=1.30,95%CI:0.83,2.01). For both carrier groups, alcohol consumption was not associated with BC risk. CONCLUSIONS The finding that smoking during the pre-reproductive years increases BC risk for mutation carriers warrants further investigation. IMPACT This is the largest prospective study of BRCA mutation carriers to assess these important risk factors.

Authors: Hongyan Li, Mary Beth Terry, Antonis C. Antoniou, Kelly-Anne Phillips, Karin Kast, Thea M. Mooij, Christoph Engel, Catherine Noguès, Dominique Stoppa-Lyonnet, Christine Lasset, Pascaline Berthet, Veronique Mari, Olivier Caron, Daniel Barrowdale, Debra Frost, Carole Brewer, D. Gareth Evans, Louise Izatt, Lucy Side, Lisa Walker, Marc Tischkowitz, Mark T. Rogers, Mary E. Porteous, Hanne E. J. Meijers-Heijboer, Johan Jp Gille, Marinus J. Blok, Nicoline Hoogerbrugge, Mary B. Daly, Irene L. Andrulis, Saundra S. Buys, Esther M. John, Sue-Anne McLachlan, Michael Friedlander, Yen Y. Tan, Ana Osorio, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Brita Arver, Håkan Olsson, Rita K. Schmutzler, John L. Hopper, Roger L. Milne, Douglas F. Easton, Flora E. van Leeuwen, Matti A. Rookus, Nadine Andrieu, David E. Goldgar

Date Published: 5th Feb 2020

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Lisa's liver tumor data (CSV)
MI-Lab

Lisa's liver timor data file in CSV format

Creators: Mona Perbix, Dr. Janus Knop

Submitter: Matthias Löbe

Data file type: Clinical Data

Human Diseases: liver disease, liver cancer

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FLYER trial data SPSS
GLA - German Lymphoma Alliance
No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: lymphoma

FLYER trial data ODM
GLA - German Lymphoma Alliance
No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: ODM Data

Human Diseases: lymphoma

FLYER trial data CSV
GLA - German Lymphoma Alliance
No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: lymphoma

ACT-2 trial data SPSS
GLA - German Lymphoma Alliance
No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: peripheral T-cell lymphoma

ACT-2 trial data ODM
GLA - German Lymphoma Alliance
No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: ODM Data

Human Diseases: peripheral T-cell lymphoma

ACT-2 trail data CSV
GLA - German Lymphoma Alliance
No description specified

Creator: René Hänsel

Submitter: René Hänsel

Data file type: Clinical Data

Human Diseases: peripheral T-cell lymphoma

Expression Data from Malignant Lymphoma
MMML-MYC-SYS

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

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Expression data from cerebral tumors of WHO grade II and III (Expression Data)
GGN - German Glioma Network

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors.

Creators: Henry Löffler-Wirth, Markus Kreuz

Submitter: Christoph Beger

Data file type: Genomic Data

Human Diseases: brain glioma

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Methylation data from cerebral tumors of WHO grade II and III (Betas)
GGN - German Glioma Network

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.

Creators: Hans Binder, Markus Kreuz, Henry Löffler-Wirth

Submitter: Christoph Beger

Data file type: Methylation Data

Human Diseases: brain glioma

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Future 10-year risk calculator
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

The 'Future 10-year risk calculator' is a tool designed to help determine the optimal timing for follow-up counseling based on the cumulative breast cancer risks provided in the CanRisk-Report created by the CanRisk website as a result of the BOADICEA risk assessment. It is not a replacement for the BOADICEA model, nor is it intended for medical diagnosis, treatment decisions, or the monitoring of health conditions. The risk estimation assumes that the individual's and family's risk profile remains ...

Creators: Christoph Engel, Silke Zachariae

Submitter: Silke Zachariae

Haematotox calculator
GLA - German Lymphoma Alliance

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

External Link
LHAhpv16classifier - gene expression based predictor of the HPV16 status and of the molecular subgroup (as reported in Wichmann et al. 2015) of head and neck tumor samples
LIFE HNC - Head and Neck Cancer Group

This package should simplify the translation of the classifications reported in Wichmann et al. 2015 to other data sets of head and neck cancers.

Classification of head and neck tumor samples into HPV-positive and negative samples based on their gene expression. Classification of the samples into molecular subgroups reported in Wichmann et al. 2015

Creator: Maciej Rosolowski

Submitter: René Hänsel

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Interactive Pathway Activity Analysis Platform
GGN - German Glioma Network

The platform is intended for visualization of expression- and mutation-driven changes in biological pathway activities in cancer datasets available in ICGC. The impact of somatic mutations on protein-protein interactions were calculated using Mechismo. Overall activity of biological pathway was evaluated using Pathway Signal Flow algorithm. The application provides interactive heatmaps for pathway output sink node activities and pathway images with mapped affected interactions and output node ...

Creators: Hans Binder, Siras Hakobyan

Submitter: Christoph Beger

External Link
The Platform for modeling of hematopoiesis and personalized control of hematopoietical side effects during chemotherapy
Genetical Statistics and Systems Biology
No description specified

Creators: Markus Scholz, Carl Beuchel, Yuri Kheifetz, Sibylle Schirm

Submitter: Carl Beuchel

External Link View content
MMRpredict
GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer

Depending on the calculated mutation probability genetic counsellors can decide whether patients should undergo further analysis of microsatellite instability and immunohistochemistry. The model is recommended for patients with an age at colorectal cancer diagnosis of 55 or younger.

"MMRpredict" is a risk prediction model for patients with colorectal cancer (Barnetson et al. 2006). It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (overall probability) ...

Creators: Christoph Engel, Silke Zachariae

Submitter: Silke Zachariae

PREMM1,2,6
GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer

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: Silke Zachariae, Christoph Engel, Kastrinos et al.

Submitter: Silke Zachariae

Manchester Scoring System
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Motivation: The "Manchester Scoring System" can be used to assist clinicians and genetic counselors in the clinical management of families suspected of having hereditary breast and ovarian cancer and to decide whether genetic testing should be performed.

Description: The "Manchester Scoring System" is an empirical mutation risk prediction model. In its current form, a risk score for the identification of a pathogenic BRCA1/2 mutation is being calculated based on the number of breast and ovarian ...

Creators: Christoph Engel, Silke Zachariae, Evans, D.G. et al. (2009)

Submitter: Silke Zachariae

GC-HBOC BC Risk Explorer
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

The GC-HBOC BC Risk Explorer (GC-HBOC BC-RE) predicts the breast cancer risk for BRCA1/2 carriers and high-risk non-carriers at risk for first breast cancer (cohort 1), and BRCA1/2 carriers and high-risk non-carriers who were previously diagnosed with unilateral breast cancer, and are at risk for contralateral breast cancer (cohort 2). GC-HBOC BC-RE is based on data from female BRCA1/2 carriers and non-carriers with a family history of breast and ovarian cancer, who participated in the intensified ...

Creators: Christoph Engel, Silke Zachariae

Submitter: Silke Zachariae

Claus
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Motivation: The eClaus model can be used to calculate mutation risks for BRCA1/2 as well as life-time risks for breast cancer in women from families with multiple and/or early onset cases of breast and ovarian cancer. The model can be used to assist genetic counselors in clinical decision making regarding genetic testing, intensified surveillance, and prophylatic surgery.

Description: The Claus model is a genetic breast cancer risk calculation model assuming a single rare, highly penetrant gene. ...

Creators: Christoph Engel, Silke Zachariae, Claus, E.B. et al. (1991 and 1994)

Submitter: Silke Zachariae

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The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

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