Looking for A Place for Dose-Dense TMZ Regimens in GBM Patients: An Experience with MGMT Exploratory Evaluation.

MGMT dose-dense glioblastoma multiforme temozolomide

Journal

Bioengineering (Basel, Switzerland)
ISSN: 2306-5354
Titre abrégé: Bioengineering (Basel)
Pays: Switzerland
ID NLM: 101676056

Informations de publication

Date de publication:
22 Jan 2019
Historique:
received: 18 12 2018
revised: 19 01 2019
accepted: 21 01 2019
entrez: 26 1 2019
pubmed: 27 1 2019
medline: 27 1 2019
Statut: epublish

Résumé

Prolonged exposure to temozolomide (TMZ) could improve clinical outcomes in recurrent glioblastoma multiforme (GBM) patients. We previously developed a dose-dense regimen of TMZ in a phase II study (180 mg/m2 from days 1 to 5 every two weeks). A retrospective analysis of patients with macroscopic residual GBM treated with "post-induction" dose-dense TMZ was conducted, adding an explorative subgroup analyses among patients with different O6-methylguanine DNA methyltransferase (MGMT) expressions (negative vs positive, < vs ≥ of 50 % of cells stained, < vs ≥ 70% of cells stained). Thirty-six patients were evaluated; after a median follow-up of 36 weeks, median Progression Free Survival (PFS) and median Overall Survival (OS) were 19 and 34 weeks, respectively. MGMT expression (70% cut-off) and sex were confirmed as independent predictors for disease control rate (DCR) at multivariate analysis. At univariate analysis ECOG-PS, Sex (female), extensive tumor resection was shown to be related to a longer PFS, while MGMT expression (cutoff 70%) to a shorter PFS. Multivariate analysis with Cox hazard regression confirmed only ECOGPS as an independent predictor for PFS. ECOG-PS showed to be significant related to a longer OS. Our analysis showed that dose-dense TMZ regimens are still an option for patients with recurrent GBM, but should be used for re-challenge treatments. MGMT immunohistochemistry high expression might be used as a "surrogate" negative predictor for DCR for dd-TMZ treatments.

Identifiants

pubmed: 30678211
pii: bioengineering6010011
doi: 10.3390/bioengineering6010011
pmc: PMC6466220
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

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Auteurs

Luca Napoleoni (L)

Medical Oncology, St Salvatore Hospital, 67100 L'Aquila, Italy. lucanapoleoni@hotmail.it.
Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy. lucanapoleoni@hotmail.it.

Alessio Cortellini (A)

Medical Oncology, St Salvatore Hospital, 67100 L'Aquila, Italy. alessiocortellini@gmail.com.
Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy. alessiocortellini@gmail.com.

Katia Cannita (K)

Medical Oncology, St Salvatore Hospital, 67100 L'Aquila, Italy. kcannita@gmail.com.

Alessandro Parisi (A)

Medical Oncology, St Salvatore Hospital, 67100 L'Aquila, Italy. alexparis@hotmail.it.
Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy. alexparis@hotmail.it.

Antonella Dal Mas (A)

Department of Pathology, St Salvatore Hospital, 67100 L'Aquila, Italy. antonelladalmas@yahoo.it.

Giuseppe Calvisi (G)

Department of Pathology, St Salvatore Hospital, 67100 L'Aquila, Italy. t.calvisi@libero.it.

Olga Venditti (O)

Medical Oncology, St Salvatore Hospital, 67100 L'Aquila, Italy. olgavenditti@yahoo.it.

Paola Lanfiuti Baldi (PL)

Medical Oncology, St Salvatore Hospital, 67100 L'Aquila, Italy. paola.lb@tiscali.it.

Valentina Cocciolone (V)

Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy. corrado.ficorella@univaq.it.

Alessandro Ricci (A)

Department of Neurosurgery, St Salvatore Hospital, 67100 L'Aquila, Italy. aricci@asl1abruzzo.it.

Corrado Ficorella (C)

Medical Oncology, St Salvatore Hospital, 67100 L'Aquila, Italy. corrado.ficorella@univaq.it.
Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy. corrado.ficorella@univaq.it.

Classifications MeSH