Literature DB >> 19840807

A mathematical model of brain tumour response to radiotherapy and chemotherapy considering radiobiological aspects.

Lara Barazzuol1, Neil G Burnet, Raj Jena, Bleddyn Jones, Sarah J Jefferies, Norman F Kirkby.   

Abstract

Glioblastoma is the most frequent and malignant brain tumour. For many years, the conventional treatment has been maximal surgical resection followed by radiotherapy (RT), with a median survival time of less than 10 months. Previously, the use of adjuvant chemotherapy (given after RT) has failed to demonstrate a statistically significant survival advantage. Recently, a randomized phase III trial has confirmed the benefit of temozolomide (TMZ) and has defined a new standard of care for the treatment of patients with high-grade brain tumours. The results showed an increase of 2.5 months in median survival, and 16.1% in 2 year survival, for patients receiving RT with TMZ compared with RT alone. It is not clear whether the major benefit of TMZ comes from either concomitant administration of TMZ with RT, or from six cycles of adjuvant TMZ, or both. The objectives were to develop our original model, which addressed survival after RT, to construct a new module to assess the potential role of TMZ from clinical data, and to explore its synergistic contribution in addition to radiation. The model has been extended to include radiobiological parameters. The addition of the linear quadratic equation to describe cellular response to treatment has enabled us to quantify the effects of radiation and TMZ in radiobiological terms. The results indicate that the model achieves an excellent fit to the clinical data, with the assumption that TMZ given concomitantly with RT synergistically increases radiosensitivity. The alternative, that the effect of TMZ is due only to direct cell killing, does not fit the clinical data so well. The addition of concomitant TMZ appears to change the radiobiological parameters. This aspect of our results suggests possible treatment developments. Our observations need further evaluations in real clinical trials, may suggest treatment strategies for new trials, and inform their design.

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Year:  2009        PMID: 19840807     DOI: 10.1016/j.jtbi.2009.10.021

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  14 in total

1.  The Effect of Timing of Concurrent Chemoradiation in Patients With Newly Diagnosed Glioblastoma.

Authors:  Seunggu J Han; W Caleb Rutledge; Annette M Molinaro; Susan M Chang; Jennifer L Clarke; Michael D Prados; Jennie W Taylor; Mitchel S Berger; Nicholas A Butowski
Journal:  Neurosurgery       Date:  2015-08       Impact factor: 4.654

Review 2.  Impact of Timing of Concurrent Chemoradiation for Newly Diagnosed Glioblastoma: A Critical Review of Current Evidence.

Authors:  Seunggu J Han; Dario J Englot; Harjus Birk; Annette M Molinaro; Susan M Chang; Jennifer L Clarke; Michael D Prados; Jennie W Taylor; Mitchel S Berger; Nicholas A Butowski
Journal:  Neurosurgery       Date:  2015-08       Impact factor: 4.654

3.  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

4.  Dilemmas concerning dose distribution and the influence of relative biological effect in proton beam therapy of medulloblastoma.

Authors:  B Jones; P Wilson; A Nagano; J Fenwick; G McKenna
Journal:  Br J Radiol       Date:  2012-05-02       Impact factor: 3.039

5.  Towards the Personalized Treatment of Glioblastoma: Integrating Patient-Specific Clinical Data in a Continuous Mechanical Model.

Authors:  Maria Cristina Colombo; Chiara Giverso; Elena Faggiano; Carlo Boffano; Francesco Acerbi; Pasquale Ciarletta
Journal:  PLoS One       Date:  2015-07-17       Impact factor: 3.240

6.  Modeling the efficacy of the extent of surgical resection in the setting of radiation therapy for glioblastoma.

Authors:  Leith Hathout; Benjamin Ellingson; Whitney Pope
Journal:  Cancer Sci       Date:  2016-07-06       Impact factor: 6.716

7.  Post-Surgery Glioma Growth Modeling from Magnetic Resonance Images for Patients with Treatment.

Authors:  Ahmed Elazab; Hongmin Bai; Yousry M Abdulazeem; Talaat Abdelhamid; Sijie Zhou; Kelvin K L Wong; Qingmao Hu
Journal:  Sci Rep       Date:  2017-04-27       Impact factor: 4.379

8.  Computer implementation of a new therapeutic model for GBM tumor.

Authors:  Ali Jamali Nazari; Dariush Sardari; Ahmad Reza Vali; Keivan Maghooli
Journal:  Comput Math Methods Med       Date:  2014-08-05       Impact factor: 2.238

9.  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

10.  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

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