Literature DB >> 25969501

Extreme protraction for low-grade gliomas: theoretical proof of concept of a novel therapeutical strategy.

Víctor M Pérez-García1, Luis A Pérez-Romasanta2.   

Abstract

Grade II gliomas are slowly growing primary brain tumours that affect mostly young patients and become fatal after a variable time period. Current clinical handling includes surgery as first-line treatment. Cytotoxic therapies (radiotherapy RT or chemotherapy QT) are used initially only for patients having a bad prognosis. Therapies are administered following the 'maximum dose in minimum time' principle, which is the same schedule used for high-grade brain tumours. Using mathematical models describing the growth of these tumours in response to radiotherapy, we find that an extreme protraction therapeutical strategy, i.e. enlarging substantially the time interval between RT fractions, may lead to better tumour control. Explicit formulas are found providing the optimal spacing between doses in a very good agreement with the simulations of the full 3D mathematical model approximating the tumour spatiotemporal dynamics. This idea, although breaking the well-established paradigm, has biological meaning since, in these slowly growing tumours, it may be more favourable to treat the tumour as the tumour cells leave the quiescent compartment and move into the cell cycle.
© The Authors 2015. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Entities:  

Keywords:  low-grade gliomas; mathematicalmodel of tumour response; radiotherapy

Mesh:

Year:  2015        PMID: 25969501     DOI: 10.1093/imammb/dqv017

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


  7 in total

1.  Radiation protraction schedules for low-grade gliomas: a comparison between different mathematical models.

Authors:  I Budia; A Alvarez-Arenas; T E Woolley; G F Calvo; J Belmonte-Beitia
Journal:  J R Soc Interface       Date:  2019-12-11       Impact factor: 4.118

2.  Modeling the dynamics of oligodendrocyte precursor cells and the genesis of gliomas.

Authors:  Aloys Dufour; Emilie Gontran; Christophe Deroulers; Pascale Varlet; Johan Pallud; Basile Grammaticos; Mathilde Badoual
Journal:  PLoS Comput Biol       Date:  2018-03-28       Impact factor: 4.475

3.  Computational design of improved standardized chemotherapy protocols for grade II oligodendrogliomas.

Authors:  Víctor M Pérez-García; Luis E Ayala-Hernández; Juan Belmonte-Beitia; Philippe Schucht; Michael Murek; Andreas Raabe; Juan Sepúlveda
Journal:  PLoS Comput Biol       Date:  2019-07-15       Impact factor: 4.475

Review 4.  A Century of Fractionated Radiotherapy: How Mathematical Oncology Can Break the Rules.

Authors:  Nima Ghaderi; Joseph Jung; Sarah C Brüningk; Ajay Subramanian; Lauren Nassour; Jeffrey Peacock
Journal:  Int J Mol Sci       Date:  2022-01-24       Impact factor: 5.923

5.  Intermittent radiotherapy as alternative treatment for recurrent high grade glioma: a modeling study based on longitudinal tumor measurements.

Authors:  Sarah C Brüningk; Jeffrey Peacock; Christopher J Whelan; Renee Brady-Nicholls; Hsiang-Hsuan M Yu; Solmaz Sahebjam; Heiko Enderling
Journal:  Sci Rep       Date:  2021-10-12       Impact factor: 4.379

6.  A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications.

Authors:  Magdalena U Bogdańska; Marek Bodnar; Monika J Piotrowska; Michael Murek; Philippe Schucht; Jürgen Beck; Alicia Martínez-González; Víctor M Pérez-García
Journal:  PLoS One       Date:  2017-08-01       Impact factor: 3.240

7.  Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas.

Authors:  Araceli Henares-Molina; Sebastien Benzekry; Pedro C Lara; Marcial García-Rojo; Víctor M Pérez-García; Alicia Martínez-González
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

  7 in total

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