e:Med

e:Med has the objective of establishing systems medicine in Germany. e:Med promotes system-oriented research into diseases in order to facilitate improved prevention, more comprehensive diagnostics and individually adjusted therapy schemes in individualized medicine. The program brings together scientists with molecular-genetic, clinical, mathematical and information technology expertise, with the objective of ensuring that research results quickly benefit patients.

Programme: Default Programme

LHA ID: 880R6A9NVP-0

Public web page: https://www.sys-med.de/en/

Human Diseases: Diffuse large b-cell lymphoma, Lynch syndrome

Health Atlas - Local Data Hub/Leipzig PALs: No PALs for this Project

Project Coordinators: No Project coordinators for this Project

Project created: 26th Jul 2021

Project Hierarchy

Country: Germany

City: Leipzig

Web page: https://www.imise.uni-leipzig.de/en/

Telomere Length Maintenance and Its Transcriptional Regulation in Lynch Syndrome and Sporadic Colorectal Carcinoma.

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, oBIG - omics Bioinformatics for Health

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Abstract (Expand)

Background: Activation of telomere maintenance mechanisms (TMMs) is a hallmark of most cancers, and is required to prevent genome instability and to establish cellular immortality through reconstitution … of capping of chromosome ends. TMM depends on the cancer type. Comparative studies linking tumor biology and TMM have potential impact for evaluating cancer onset and development. Methods: We have studied alterations of telomere length, their sequence composition and transcriptional regulation in mismatch repair deficient colorectal cancers arising in Lynch syndrome (LS-CRC) and microsatellite instable (MSI) sporadic CRC (MSI s-CRC), and for comparison, in microsatellite stable (MSS) s-CRC and in benign colon mucosa. Our study applied bioinformatics analysis of whole genome DNA and RNA sequencing data and a pathway model to study telomere length alterations and the potential effect of the "classical" telomerase (TEL-) and alternative (ALT-) TMM using transcriptomic signatures. Results: We have found progressive decrease of mean telomere length in all cancer subtypes compared with reference systems. Our results support the view that telomere attrition is an early event in tumorigenesis. TMM gets activated in all tumors studied due to concerted overexpression of a large fraction of genes with direct relation to telomere function, where only a very small fraction of them showed recurrent mutations. TEL-related transcriptional state was dominating in all CRC subtypes, showing, however, subtype-specific activation patterns; while contribution of the ALT-TMM was slightly more prominent in the hypermutated MSI s-CRC and LS-CRC. TEL-TMM is mainly activated by over-expression of DKC1 and/or TERT genes and their interaction partners, where DKC1 is more prominent in MSS than in MSI s-CRC and can serve as a transcriptomic marker of TMM activity. Conclusions: Our results suggest that transcriptional patterns are indicative for TMM pathway activation with subtle differences between TEL and ALT mechanisms in a CRC subtype-specific fashion. Sequencing data potentially provide a suited measure to study alterations of telomere length and of underlying transcriptional regulation. Further studies are needed to improve this method.

Authors: L. Nersisyan, L. Hopp, H. Loeffler-Wirth, J. Galle, M. Loeffler, A. Arakelyan, H. Binder

Date Published: 22nd Nov 2019

Publication Type: Not specified

Human Diseases: cancer

PubMed ID: 31750255

Citation: Front Oncol. 2019 Nov 5;9:1172. doi: 10.3389/fonc.2019.01172. eCollection 2019.

Created: 20th Apr 2020 at 10:12, Last updated: 7th Dec 2021 at 17:58

Modeling individual time courses of thrombopoiesis during multi-cyclic chemotherapy.

Genetical Statistics and Systems Biology, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles

Abstract (Expand)

BACKGROUND: Thrombocytopenia is a major side-effect of cytotoxic cancer therapies. The aim of precision medicine is to develop therapy modifications accounting for the individual's risk. … METHODOLOGY/PRINCIPLE FINDINGS: To solve this task, we develop an individualized bio-mechanistic model of the dynamics of bone marrow thrombopoiesis, circulating platelets and therapy effects thereon. Comprehensive biological knowledge regarding cell differentiation, amplification, apoptosis rates, transition times and corresponding regulations are translated into ordinary differential equations. A model of osteoblast/osteoclast interactions was incorporated to mechanistically describe bone marrow support of quiescent cell stages. Thrombopoietin (TPO) as a major regulator is explicitly modelled including pharmacokinetics and-dynamics of TPO injections. Effects of cytotoxic drugs are modelled by transient depletions of proliferating cells. To calibrate the model, we used population data from the literature and close-meshed individual data of N = 135 high-grade non-Hodgkin's lymphoma patients treated with CHOP-like chemotherapies. To limit the number of free parameters, several parsimony assumptions were derived from biological data and tested via Likelihood methods. Heterogeneity of patients was explained by a few model parameters. The over-fitting issue of individual parameter estimation was successfully dealt with a virtual participation of each patient in population-based experiments. The model qualitatively and quantitatively explains a number of biological observations such as the role of osteoblasts in explaining long-term toxic effects, megakaryocyte-mediated feedback on stem cells, bi-phasic stimulation of thrombopoiesis by TPO, dynamics of megakaryocyte ploidies and non-exponential platelet degradation. Almost all individual time series could be described with high precision. We demonstrated how the model can be used to provide predictions regarding individual therapy adaptations. CONCLUSIONS: We propose a mechanistic thrombopoiesis model of unprecedented comprehensiveness in both, biological mechanisms considered and experimental data sets explained. Our innovative method of parameter estimation allows robust determinations of individual parameter settings facilitating the development of individual treatment adaptations during chemotherapy.

Authors: Y. Kheifetz, M. Scholz

Date Published: 7th Mar 2019

Publication Type: Not specified

Human Diseases: blood platelet disease

PubMed ID: 30840616

Citation: PLoS Comput Biol. 2019 Mar 6;15(3):e1006775. doi: 10.1371/journal.pcbi.1006775. eCollection 2019 Mar.

Created: 13th May 2019 at 11:54, Last updated: 7th Dec 2021 at 17:58

Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome.

CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, oBIG - omics Bioinformatics for Health

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Abstract (Expand)

We analyzed the blood transcriptome of sepsis framed within community-acquired pneumonia (CAP) and characterized its molecular and cellular heterogeneity in terms of functional modules of co-regulated …

Authors: L. Hopp, H. Loeffler-Wirth, L. Nersisyan, A. Arakelyan, H. Binder

Date Published: 2nd Aug 2018

Publication Type: Not specified

Human Diseases: disease by infectious agent, pneumonia

PubMed ID: 30065722

Citation: Front Immunol. 2018 Jul 17;9:1620. doi: 10.3389/fimmu.2018.01620. eCollection 2018.

Created: 13th May 2019 at 11:38, Last updated: 7th Dec 2021 at 17:58

Model-based individual managing of thrombocytopenia during multi-cyclic chemotherapy

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

Abstract (Expand)

Background: Thrombocytopenia is a major side-effect of cytotoxic cancer therapies. The aim of precision medicine is to develop therapy modifications accounting for the individual’s risk. Methodology/Principle … Findings: To solve this task, we develop an individualized bio-mechanistic model of the dynamics of bone marrow thrombopoiesis, circulating platelets and therapy effects thereon. Comprehensive biological knowledge regarding cell differentiation, amplification, apoptosis rates, transition times and corresponding regulations are translated into ordinary differential equations. A model of osteoblast/osteoclast interactions was incorporated to mechanistically describe bone marrow support of quiescent cell stages. Thrombopoietin (TPO) as a major regulator is explicitly modelled including pharmacokinetics and –dynamics of TPO injections. Effects of cytotoxic drugs are modelled by transient depletions of proliferating cells. To calibrate the model, we used population data from the literature and close-meshed individual data of N=135 high-grade non-Hodgkin’s lymphoma patients treated with CHOP-like chemotherapies. To limit the number of free parameters, several parsimony assumptions were derived from biological data and tested via Likelihood methods. Heterogeneity of patients was explained by a few model parameters. The over-fitting issue of individual parameter estimation was successfully dealt with a virtual participation of each patient in population-based experiments. The model qualitatively and quantitatively explains a number of biological observations such as the role of osteoblasts in explaining long-term toxic effects, megakaryocyte-mediated feedback on stem cells, bi-phasic stimulation of thrombopoiesis by TPO, dynamics of megakaryocyte ploidies and non-exponential platelet degradation. Almost all individual time series could be described with high precision. We demonstrated how the model can be used to provide predictions regarding individual therapy adaptations. Conclusions: We propose a mechanistic thrombopoiesis model of unprecedented comprehensiveness in both, biological mechanisms considered and experimental data sets explained. Our innovative method of parameter estimation allows robust determinations of individual parameter settings facilitating the development of individual treatment adaptations during chemotherapy.

Authors: Y. Kheifetz, Markus Scholz, Markus Löffler

Date Published: 9th Jun 2017

Publication Type: Not specified

Human Diseases: thrombocytopenia

Citation:

Created: 13th May 2019 at 12:00, Last updated: 7th Dec 2021 at 17:58

oposSOM: R-package for high-dimensional portraying of genome-wide expression landscapes on bioconductor.

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome

Abstract (Expand)

MOTIVATION: Comprehensive analysis of genome-wide molecular data challenges bioinformatics methodology in terms of intuitive visualization with single-sample resolution, biomarker selection, functional …

Authors: H. Loffler-Wirth, M. Kalcher, H. Binder

Date Published: 1st Oct 2015

Publication Type: Not specified

PubMed ID: 26063839

Citation: Bioinformatics. 2015 Oct 1;31(19):3225-7. doi: 10.1093/bioinformatics/btv342. Epub 2015 Jun 10.

Created: 6th May 2019 at 12:38, Last updated: 7th Dec 2021 at 17:58

A combined model of human erythropoiesis and granulopoiesis under growth factor and chemotherapy treatment.

HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia

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Abstract (Expand)

BACKGROUND: Haematotoxicity of conventional chemotherapies often results in delays of treatment or reduction of chemotherapy dose. To ameliorate these side-effects, patients are routinely treated with … blood transfusions or haematopoietic growth factors such as erythropoietin (EPO) or granulocyte colony-stimulating factor (G-CSF). For the latter ones, pharmaceutical derivatives are available, which differ in absorption kinetics, pharmacokinetic and -dynamic properties. Due to the complex interaction of cytotoxic effects of chemotherapy and the stimulating effects of different growth factor derivatives, optimal treatment is a non-trivial task. In the past, we developed mathematical models of thrombopoiesis, granulopoiesis and erythropoiesis under chemotherapy and growth-factor applications which can be used to perform clinically relevant predictions regarding the feasibility of chemotherapy schedules and cytopenia prophylaxis with haematopoietic growth factors. However, interactions of lineages and growth-factors were ignored so far. RESULTS: To close this gap, we constructed a hybrid model of human granulopoiesis and erythropoiesis under conventional chemotherapy, G-CSF and EPO applications. This was achieved by combining our single lineage models of human erythropoiesis and granulopoiesis with a common stem cell model. G-CSF effects on erythropoiesis were also implemented. Pharmacodynamic models are based on ordinary differential equations describing proliferation and maturation of haematopoietic cells. The system is regulated by feedback loops partly mediated by endogenous and exogenous EPO and G-CSF. Chemotherapy is modelled by depletion of cells. Unknown model parameters were determined by fitting the model predictions to time series data of blood counts and cytokine profiles. Data were extracted from literature or received from cooperating clinical study groups. Our model explains dynamics of mature blood cells and cytokines after growth-factor applications in healthy volunteers. Moreover, we modelled 15 different chemotherapeutic drugs by estimating their bone marrow toxicity. Taking into account different growth-factor schedules, this adds up to 33 different chemotherapy regimens explained by the model. CONCLUSIONS: We conclude that we established a comprehensive biomathematical model to explain the dynamics of granulopoiesis and erythropoiesis under combined chemotherapy, G-CSF, and EPO applications. We demonstrate how it can be used to make predictions regarding haematotoxicity of yet untested chemotherapy and growth-factor schedules.

Authors: S. Schirm, C. Engel, M. Loeffler, M. Scholz

Date Published: 26th May 2014

Publication Type: Not specified

Human Diseases: leukemia, anemia

PubMed ID: 24886056

Citation: Theor Biol Med Model. 2014 May 26;11:24. doi: 10.1186/1742-4682-11-24.

Created: 25th Oct 2019 at 11:02, Last updated: 7th Dec 2021 at 17:58

Portraying the expression landscapes of cancer subtypes. A case study of glioblastoma multiforme and prostate cancer

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, GGN - German Glioma Network

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Abstract (Expand)

Self-organizing maps (SOM) portray molecular phenotypes with individual resolution. We present an analysis pipeline based on SOM machine learning which allows the comprehensive study of large scale …

Authors: Lydia Hopp, Henry Löffler-Wirth, M. Fasold, Hans Binder

Date Published: 27th Jan 2014

Publication Type: Not specified

Human Diseases: brain glioma, prostate cancer

DOI: 10.4161/sysb.25897

Citation:

Created: 10th May 2019 at 12:24, Last updated: 7th Dec 2021 at 17:58

Methylation associated pathway activity deregulation in lung adenocarcinoma

CapSys - Systems Medicine of Community Acquired Pneumonia

Abstract (Expand)

Methylation impairments are tightly associated with gene expression and molecular pathway deregulation in cancer development. However, other regulatory mechanisms exist, making it important to distinguish …

Authors: L. Nersisyan, Henry Löffler-Wirth, A. Gevorgyan, Hans Binder, A. Arakelyan

Date Published: 2014

Publication Type: Not specified

Human Diseases: lung disease

Citation:

Created: 20th Apr 2020 at 11:32, Last updated: 7th Dec 2021 at 17:58

Mining common pathway deregulation profiles in lung diseases

CapSys - Systems Medicine of Community Acquired Pneumonia

Abstract (Expand)

This study is aimed at investigating lung diseases described by common pathomechanisms based on evaluation of gene expression profiles in molecular pathways. 16 datasets containing 428 samples for 22 …

Authors: A. Arakelyan, L. Nersisyan, Henry Löffler-Wirth, Hans Binder

Date Published: 2014

Publication Type: Not specified

Human Diseases: lung disease

Citation:

Created: 20th Apr 2020 at 11:36, Last updated: 7th Dec 2021 at 17:58

A biomathematical model of human erythropoiesis under erythropoietin and chemotherapy administration.

HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia

(Show All)

Abstract (Expand)

Anaemia is a common haematologic side effect of dose-dense multi-cycle cytotoxic polychemotherapy requiring erythrocyte transfusions or erythropoietin (EPO) administration. To simulate the effectiveness …

Authors: S. Schirm, C. Engel, M. Loeffler, M. Scholz

Date Published: 12th Jun 2013

Publication Type: Not specified

Human Diseases: anemia

PubMed ID: 23755260

Citation: PLoS One. 2013 Jun 6;8(6):e65630. doi: 10.1371/journal.pone.0065630. Print 2013.

Created: 25th Oct 2019 at 10:55, Last updated: 7th Dec 2021 at 17:58

View all 11 items

SOM Analysis of the Transcriptome of Lynch Syndrome

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome

Colorectal cancer (CRC) arising in Lynch syndrome (LS) comprises tumours with constitutional mutations in DNA mismatch repair genes. There is still a lack of whole-genome and transcriptome studies of LS-CRC to address questions about similarities and differences in mutation and gene expression characteristics between LS-CRC and sporadic CRC, about the molecular heterogeneity of LS-CRC, and about specific mechanisms of LS-CRC genesis linked to dysfunctional mismatch repair in LS colonic mucosa and ...

Creator: Hans Binder

Submitter: Henry Löffler-Wirth

Data file type: SOM Data

Human Diseases: Lynch syndrome

Investigations: No Investigations

Studies: No Studies

Resources: No Resources

External Link

Created: 20th May 2019 at 13:20, Last updated: 20th May 2019 at 13:20

1 hidden item

Shiny App for managing next-cycle thrombopenia

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

Implementation of recently developed dynamic mathematical models of normal and leukemic hematopoiesis to practically impact clinical decision- making.

Fitting available individual patients information, prediction of next-cycle thrombopenia caused by CHOEP treatment based on the individual fits of the preceeding treatment cycles, changing next-cycle relative dosing, posponement of the next cycle, changing follow-up period, visualization of data and simulation

Creator: Markus Scholz

Submitter: René Hänsel

Model type: Not specified

Model format: R package

Environment: Not specified

Organism: Not specified

Human Disease: thrombocytopenia

Investigations: No Investigations

Studies: No Studies

Resources: No Resources

External Link

Created: 13th May 2019 at 15:02, Last updated: 28th Jan 2022 at 15:21

oposSOM

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome

Analysis of large-scale molecular biological data using self-organizing maps

Comprehensive analysis of genome-wide molecular data challenges bioinformatics methodology in terms of intuitive visualization with single-sample resolution, biomarker selection, functional information mining and highly granular stratification of sample classes. oposSOM combines those functionalities making use of a comprehensive analysis and visualization strategy based on self-organizing maps (SOM) machine learning ...

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Model type: Not specified

Model format: R package

Environment: Shiny

Organism: Not specified

Human Disease: Not specified

Investigations: No Investigations

Studies: No Studies

Resources: No Resources

External Link

Created: 6th May 2019 at 12:36, Last updated: 15th May 2019 at 12:56

Hans Binder

: inactive since

Projects: Leipzig Melanoma Studies, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, CapSys - Systems Medicine of Community Acquired Pneumonia, e:Med, HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, oBIG - omics Bioinformatics for Health

Institutions: Interdisciplinary Center for Bioinformatics (IZBI)

https://orcid.org/0000-0002-2242-4678

Lydia Hopp : inactive since

Projects: CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, CapSys - Systems Medicine of Community Acquired Pneumonia, e:Med, oBIG - omics Bioinformatics for Health

Institutions: Interdisciplinary Center for Bioinformatics (IZBI)

René Hänsel

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, e:Med, 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, CapSys - Systems Medicine of Community Acquired Pneumonia, ProstataCA, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, POLAR - Polypharmacy, Drug Interactions, Risks, Management of health information systems, LivSys Transfer - Transfer of the LivSys in vitro system for hepatotoxicity into application, Project Test Demonstrator, Fundus photography as tool for analysis of eyes of subjects with diabetes, Clinical Trials Leipzig, NFDI4Health - TA3 Services, STOP-NUC, SCALE-TORT, EarlyAMDRate

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

https://orcid.org/0000-0001-8344-0658

Roles: Technician

Expertise: Data Management, Data analysis, Python, Html

Markus Löffler

: inactive since

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, Genetical Statistics and Systems Biology, SepNet - German Competence Network Sepsis, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, e:Med, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, POLAR - Polypharmacy, Drug Interactions, Risks

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig

Prof. Dr. Markus Löffler Universität Leipzig Institut für Medizinische Informatik, Statistik und Epidemiologie Härtelstraße 16-18 04107 Leipzig

Jens Przybilla

: inactive since

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

https://orcid.org/0000-0002-3662-1023

Expertise: bioinformatics, medical informatics, epigenetics, Single Cell modelling, Theoretical Physics

Tools: Mathematica, Linux, Agent-based modelling

Markus Scholz

: inactive since

Projects: LIFE Heart, LIFE - Leipzig Research Center for Civilization Diseases, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, e:Med, Genetical Statistics and Systems Biology, Task Force COVID-19 Leipzig, NFDI4Health

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

Markus Scholz Scientific Speaker Institution Institut für Medizinische Informatik, Statistik und Epidemiologie Universität Leipzig Härtelstraße 16-18 04107 Leipzig

Default Programme

This is the Programme users can request to have a Project created and associated with, without the need to create and manage their own.

Projects: SCALE-TORT, oBIG - omics Bioinformatics for Health, e:Med

Web page: Not specified

lung disease

CapSys - Systems Medicine of Community Acquired Pneumonia

Taxonomy URI: http://purl.obolibrary.org/obo/DOID_850

Definitions: Updating out dated CUI and removing lung abscess as a synonym., A lower respiratory tract disease in which the function of the lungs is adversely affected by narrowing or blockage of the airways resulting in poor air flow, a loss of elasticity in the lungs that produces a decrease in the total volume of air that the lungs are able to hold, and clotting, scarring, or inflammation of the blood vessels that affect the ability of the lungs to take up oxygen and to release carbon dioxide.

colorectal cancer

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome

Taxonomy URI: http://purl.obolibrary.org/obo/DOID_9256

Definitions: Xref MGI. OMIM mapping confirmed by DO. [SN]., A large intestine cancer that is located_in the colon and/or located_in the rectum.

Lynch syndrome

HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, e:Med

Taxonomy URI: http://purl.obolibrary.org/obo/DOID_3883

Synonyms: Hereditary Defective Mismatch Repair syndrome, COCA 1, HNPCC - hereditary nonpolyposis colon cancer, hereditary nonpolyposis colorectal neoplasm, hereditary non-polyposis colon cancer type 1, hereditary nonpolyposis colorectal cancer

Definitions: An autosomal dominant disease that is characterized by an increased risk for colon cancer and cancers of the endometrium, ovary, stomach, small intestine, hepatobiliary tract, urinary tract, brain, and skin and has_material_basis_in mutation of mismatch repair genes that increases the risk of many types of cancers., OMIM mapping confirmed by DO. [SN].

disease by infectious agent

SepNet - German Competence Network Sepsis, LIFE - Leipzig Research Center for Civilization Diseases, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome

Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0050117

Synonyms: infectious disease

Definitions: A disease that is the consequence of the presence of pathogenic microbial agents, including pathogenic viruses, pathogenic bacteria, fungi, protozoa, multicellular parasites, and aberrant proteins known as prions.

diffuse large B-cell lymphoma

MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, e:Med

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.

B-cell lymphoma

GLA - German Lymphoma Alliance, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia

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.

non-Hodgkin lymphoma

GLA - German Lymphoma Alliance, MMML - Molecular mechanisms in malignant lymphoma, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, MMML-MYC-SYS, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia

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].

hematopoietic system disease

HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia

Taxonomy URI: http://purl.obolibrary.org/obo/DOID_74

Synonyms: Hematological disease, DISEASE OF THE BLOOD AND BLOOD-FORMING ORGANS, disease of hematopoietic system, Blood dyscrasia NOS, Blood disease, blood disorder

Definitions: An immune system disease that has_material_basis_in hematopoietic cells.

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