Literature DB >> 17469128

Dynamic history of low-grade gliomas before and after temozolomide treatment.

Damien Ricard1, Gentian Kaloshi, Alexandra Amiel-Benouaich, Julie Lejeune, Yannick Marie, Emmanuel Mandonnet, Michèle Kujas, Karima Mokhtari, Sophie Taillibert, Florence Laigle-Donadey, Antoine F Carpentier, Antonio Omuro, Laurent Capelle, Hugues Duffau, Philippe Cornu, Rémy Guillevin, Marc Sanson, Khê Hoang-Xuan, Jean-Yves Delattre.   

Abstract

OBJECTIVE: To evaluate the natural progression and the impact of temozolomide in low-grade gliomas and to correlate these changes with the profile of genetic alterations.
METHODS: The mean tumor diameter (MTD) of low-grade gliomas was evaluated on serial magnetic resonance images before (n = 39), during, and after (n = 107) treatment with neoadjuvant temozolomide. MTD growth curves were correlated with chromosomes 1p-19q loss and p53 overexpression in the tumors.
RESULTS: Before temozolomide onset, MTD increased linearly over time, indicating a continuous growth that was significantly slower in 1p-19q deleted tumors (3.4 vs 5.9mm/year; p = 0.0016) and in tumors that did not overexpress p53 (4.2 vs 6.3mm/year; p = 0.05). During temozolomide treatment, almost all patients (92%) experienced initial decrease of MTD. Subsequently, some tumors started to resume growth despite continuous administration of temozolomide, with a lower rate of relapse in 1p-19q deleted tumors (16.6 vs 58%; p = 0.0004) and in tumors that did not overexpress p53 (26 vs 68%; p = 0.003). When temozolomide was discontinued in the absence of tumor progression, a majority of tumors resumed their progressive growth within a year.
INTERPRETATION: Untreated low-grade gliomas grow continuously at a rate that is influenced by the genetic alterations of the tumors. Temozolomide reverses this pattern at the onset, but this effect is often brief in patients whose tumors overexpress p53 and do not harbor the 1p-19q codeletion, suggesting acquired chemoresistance. A majority of tumors will resume their growth when treatment is discontinued, raising the issue of the optimal duration of treatment in continuously responding patients.

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Year:  2007        PMID: 17469128     DOI: 10.1002/ana.21125

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  63 in total

1.  Improving the time-machine: estimating date of birth of grade II gliomas.

Authors:  C Gerin; J Pallud; B Grammaticos; E Mandonnet; C Deroulers; P Varlet; L Capelle; L Taillandier; L Bauchet; H Duffau; M Badoual
Journal:  Cell Prolif       Date:  2011-12-14       Impact factor: 6.831

2.  Dynamic imaging response following radiation therapy predicts long-term outcomes for diffuse low-grade gliomas.

Authors:  Johan Pallud; Jean-François Llitjos; Frédéric Dhermain; Pascale Varlet; Edouard Dezamis; Bertrand Devaux; Raphaëlle Souillard-Scémama; Nader Sanai; Maria Koziak; Philippe Page; Michel Schlienger; Catherine Daumas-Duport; Jean-François Meder; Catherine Oppenheim; François-Xavier Roux
Journal:  Neuro Oncol       Date:  2012-03-13       Impact factor: 12.300

3.  Prolonged response without prolonged chemotherapy: a lesson from PCV chemotherapy in low-grade gliomas.

Authors:  Matthieu Peyre; Stéphanie Cartalat-Carel; David Meyronet; Damien Ricard; Anne Jouvet; Johan Pallud; Karima Mokhtari; Jacques Guyotat; Emmanuel Jouanneau; Marie-Pierre Sunyach; Didier Frappaz; Jérôme Honnorat; François Ducray
Journal:  Neuro Oncol       Date:  2010-05-20       Impact factor: 12.300

4.  Chemotherapy for low-grade gliomas: when? how? how long?

Authors:  Michael Weller
Journal:  Neuro Oncol       Date:  2010-10       Impact factor: 12.300

Review 5.  Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm.

Authors:  Emmanuel Mandonnet; Johan Pallud; Olivier Clatz; Luc Taillandier; Ender Konukoglu; Hugues Duffau; Laurent Capelle
Journal:  Neurosurg Rev       Date:  2008-02-26       Impact factor: 3.042

6.  Impact of imaging measurements on response assessment in glioblastoma clinical trials.

Authors:  David A Reardon; Karla V Ballman; Jan C Buckner; Susan M Chang; Benjamin M Ellingson
Journal:  Neuro Oncol       Date:  2014-10       Impact factor: 12.300

7.  Velocity of tumor spontaneous expansion predicts long-term outcomes for diffuse low-grade gliomas.

Authors:  Johan Pallud; Marie Blonski; Emmanuel Mandonnet; Etienne Audureau; Denys Fontaine; Nader Sanai; Luc Bauchet; Philippe Peruzzi; Marc Frénay; Philippe Colin; Rémy Guillevin; Valérie Bernier; Marie-Hélène Baron; Jacques Guyotat; Hugues Duffau; Luc Taillandier; Laurent Capelle
Journal:  Neuro Oncol       Date:  2013-02-07       Impact factor: 12.300

Review 8.  Personalized care in neuro-oncology coming of age: why we need MGMT and 1p/19q testing for malignant glioma patients in clinical practice.

Authors:  Michael Weller; Roger Stupp; Monika E Hegi; Martin van den Bent; Joerg C Tonn; Marc Sanson; Wolfgang Wick; Guido Reifenberger
Journal:  Neuro Oncol       Date:  2012-09       Impact factor: 12.300

9.  IDH mutation and 1p19q codeletion distinguish two radiological patterns of diffuse low-grade gliomas.

Authors:  Amélie Darlix; Jérémy Deverdun; Nicolas Menjot de Champfleur; Florence Castan; Sonia Zouaoui; Valérie Rigau; Michel Fabbro; Yordanka Yordanova; Emmanuelle Le Bars; Luc Bauchet; Catherine Gozé; Hugues Duffau
Journal:  J Neurooncol       Date:  2017-04-22       Impact factor: 4.130

10.  Amino acid positron emission tomography to monitor chemotherapy response and predict seizure control and progression-free survival in WHO grade II gliomas.

Authors:  Ulrich Roelcke; Matthias T Wyss; Martha Nowosielski; Roberta Rudà; Patrick Roth; Silvia Hofer; Norbert Galldiks; Flavio Crippa; Michael Weller; Riccardo Soffietti
Journal:  Neuro Oncol       Date:  2015-11-17       Impact factor: 12.300

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