Literature DB >> 28082512

Mathematical model of T-cell lymphoblastic lymphoma: disease, treatment, cure or relapse of a virtual cohort of patients.

N Eymard1, V Volpert2, P Kurbatova1, V Volpert2, N Bessonov3, K Ogungbenro4, L Aarons4, P Janiaud5, P Nony9, A Bajard6, S Chabaud6, Y Bertrand7, B Kassaï8, C Cornu8, P Nony9.   

Abstract

T lymphoblastic lymphoma (T-LBL) is a rare type of lymphoma with a good prognosis with a remission rate of 85%. Patients can be completely cured or can relapse during or after a 2-year treatment. Relapses usually occur early after the remission of the acute phase. The median time of relapse is equal to 1 year, after the occurrence of complete remission (range 0.2-5.9 years) (Uyttebroeck et al., 2008). It can be assumed that patients may be treated longer than necessary with undue toxicity.The aim of our model was to investigate whether the duration of the maintenance therapy could be reduced without increasing the risk of relapses and to determine the minimum treatment duration that could be tested in a future clinical trial.We developed a mathematical model of virtual patients with T-LBL in order to obtain a proportion of virtual relapses close to the one observed in the real population of patients from the EuroLB database. Our simulations reproduced a 2-year follow-up required to study the onset of the disease, the treatment of the acute phase and the maintenance treatment phase.

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Year:  2018        PMID: 28082512     DOI: 10.1093/imammb/dqw019

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  3 in total

1.  Creation and application of virtual patient cohorts of heart models.

Authors:  S A Niederer; Y Aboelkassem; C D Cantwell; C Corrado; S Coveney; E M Cherry; T Delhaas; F H Fenton; A V Panfilov; P Pathmanathan; G Plank; M Riabiz; C H Roney; R W Dos Santos; L Wang
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

2.  SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data.

Authors:  Takoua Khorchani; Yojana Gadiya; Gesa Witt; Delia Lanzillotta; Carsten Claussen; Andrea Zaliani
Journal:  Patterns (N Y)       Date:  2022-02-09

3.  Validation of a Mathematical Model Describing the Dynamics of Chemotherapy for Chronic Lymphocytic Leukemia In Vivo.

Authors:  Ekaterina Guzev; Suchita Suryakant Jadhav; Eleonora Ela Hezkiy; Michael Y Sherman; Michael A Firer; Svetlana Bunimovich-Mendrazitsky
Journal:  Cells       Date:  2022-07-28       Impact factor: 7.666

  3 in total

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