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A cancer that affects the blood or bone marrow characterized by an abnormal proliferation of blood cells.
Human Disease Hierarchy
A combined model of human erythropoiesis and granulopoiesis under growth factor and chemotherapy treatment.
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
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
High-dose CHOP plus etoposide (MegaCHOEP) in T-cell lymphoma: a comparative analysis of patients treated within trials of the German High-Grade Non-Hodgkin Lymphoma Study Group (DSHNHL).
BACKGROUND: T-cell lymphomas (T-NHL) generally carry a poor prognosis. High-dose therapy (HDT) and autologous stem cell transplantation (ASCT) are increasingly used to treat younger patients. DESIGN … AND METHODS: We treated patients <61 years with high-risk aggressive lymphoma with four to six courses of dose-escalated CHOP plus etoposide (MegaCHOEP) necessitating repeated ASCT. Outcomes of patients with mature T-NHL (excluding anaplastic lymphoma kinase-positive anaplastic large cell lymphoma) and aggressive B-NHL were compared using multivariate Cox regression analysis. RESULTS: Compared with 84.4% of B-NHL patients, 66.7% of T-NHL patients were able to receive all treatments; the rates of progressive disease were 27.3% in T-NHL and 16.3% in B-NHL patients. At 3 years, event-free survival (EFS) and overall survival were significantly worse for T-NHL [25.9% confidence interval (CI) 10.4% to 41.4% and 44.5% CI 26.5% to 62.5%) than for B-NHL patients (60.1% CI 52.1% to 68.1%; P < 0.001 and 63.4% CI 55.4% to 71.4%; P = 0.016). In multivariate analysis, T-NHL was a strongly significant adverse risk factor for EFS (relative risk 2.2, P = 0.001). CONCLUSIONS: MegaCHOEP for T-NHL patients was no better than other high-dose regimens and was unable to address the major problems of HDT/ASCT: neither early progressions nor early relapses were reduced. This study sheds some doubt on expectations that HDT/ASCT will significantly improve outcomes for patients with T-NHL.
Authors: M. Nickelsen, M. Ziepert, S. Zeynalova, B. Glass, B. Metzner, M. Leithaeuser, H. K. Mueller-Hermelink, M. Pfreundschuh, N. Schmitz
Date Published: 3rd Jul 2009
Publication Type: Not specified
Human Diseases: T-cell leukemia
PubMed ID: 19570965
Citation: Ann Oncol. 2009 Dec;20(12):1977-84. doi: 10.1093/annonc/mdp211. Epub 2009 Jul 1.
Created: 17th Apr 2019 at 13:27, Last updated: 7th Dec 2021 at 17:58