Manuela Cominelli1, Salvatore Grisanti1, Stefania Mazzoleni1, Caterina Branca1, Luciano Buttolo1, Daniela Furlan1, Barbara Liserre1, Maria Fausta Bonetti1, Daniela Medicina1, Vilma Pellegrini1, Michela Buglione1, Roberto Liserre1, Serena Pellegatta1, Gaetano Finocchiaro1, Piero Dalerba1, Fabio Facchetti1, Marina Pizzi1, Rossella Galli1, Pietro Luigi Poliani1. 1. Pathology (MC, BL, MFB, DM, VP, FF, PLP) and Pharmacology Units (CB, MP), Department of Molecular and Translational Medicine, University of Brescia and National Institute of Neuroscience, Italy; Medical Oncology (SG), Neurosurgery (LB), Radiation Oncology (MB), and Neuroradiology Departments (RL), Spedali Civili of Brescia, University of Brescia, Italy; Neural Stem Cell Biology Unit, Division of Regenerative Medicine, Stem Cells & Gene Therapy, San Raffaele Scientific Institute, Milan (SM, RG); Pathology Unit, Department of Surgical and Morphological Sciences, University of Insubria, Italy (DF); Neurological Institute Besta, Milan, Italy (SP, GF); Herbert Irving Comprehensive Cancer Center, Department of Pathology & Cell Biology and Department of Medicine, Division of Digestive and Liver Diseases, Columbia University, New York, NY (PD); IRCCS San Camillo Hospital, Venice, Italy (MP).
Abstract
BACKGROUND: Lack of robust predictive biomarkers, other than MGMT promoter methylation, makes temozolomide responsiveness in newly diagnosed glioblastoma (GBM) patients difficult to predict. However, we identified patients with long-term survival (≥35 months) within a group of newly diagnosed GBM patients treated with standard or metronomic adjuvant temozolomide schedules. We thus investigated possible molecular profiles associated with longer survival following temozolomide treatment. METHODS: We investigated the association of molecular features with progression-free (PFS) and overall survival (OS). Human-derived GBM cancer stem cells (CSCs) were used to investigate in vitro molecular mechanisms associated with temozolomide responsiveness. Surgically removed recurrences allowed investigation of molecular changes occurring during therapy in vivo. Statistical analyses included one- and two-way analysis of variance, Student's t test, Cox proportional hazards, and the Kaplan-Meier method. All statistical tests were two-sided. RESULTS: No association was found between survival and gene classifiers associated with different molecular GBM subtypes in the standard-treated group, while in metronomic-treated patients robust association was found between EGFR amplification/overexpression and PFS and OS (OS, EGFR-high vs low: hazard ratiodeath = 0.22, 95% confidence interval = 0.09 to 0.55, P = .001). The result for OS remained statistically significant after Bonferroni correction (P interaction < .0005). Long-term survival following metronomic temozolomide was independent from MGMT and EGFRvIII status and was more pronounced in EGFR-overexpressing GBM patients with PTEN loss. In vitro findings confirmed a selective dose- and time-dependent decrease in survival of temozolomide-treated EGFR+ human-derived glioblastoma CSCs, which occurred through inhibition of NF-κB transcriptional activity. In addition, reduction in EGFR-amplified cells, along with a statistically significant decrease in NF-κB/p65 expression, were observed in specimens from recurrent metronomic-treated EGFR-overexpressing GBM patients. CONCLUSIONS: EGFR-amplified/overexpressing glioblastomas strongly benefit from metronomic temozolomide-based therapies.
BACKGROUND: Lack of robust predictive biomarkers, other than MGMT promoter methylation, makes temozolomide responsiveness in newly diagnosed glioblastoma (GBM) patients difficult to predict. However, we identified patients with long-term survival (≥35 months) within a group of newly diagnosed GBM patients treated with standard or metronomic adjuvant temozolomide schedules. We thus investigated possible molecular profiles associated with longer survival following temozolomide treatment. METHODS: We investigated the association of molecular features with progression-free (PFS) and overall survival (OS). Human-derived GBM cancer stem cells (CSCs) were used to investigate in vitro molecular mechanisms associated with temozolomide responsiveness. Surgically removed recurrences allowed investigation of molecular changes occurring during therapy in vivo. Statistical analyses included one- and two-way analysis of variance, Student's t test, Cox proportional hazards, and the Kaplan-Meier method. All statistical tests were two-sided. RESULTS: No association was found between survival and gene classifiers associated with different molecular GBM subtypes in the standard-treated group, while in metronomic-treated patients robust association was found between EGFR amplification/overexpression and PFS and OS (OS, EGFR-high vs low: hazard ratiodeath = 0.22, 95% confidence interval = 0.09 to 0.55, P = .001). The result for OS remained statistically significant after Bonferroni correction (P interaction < .0005). Long-term survival following metronomic temozolomide was independent from MGMT and EGFRvIII status and was more pronounced in EGFR-overexpressing GBM patients with PTEN loss. In vitro findings confirmed a selective dose- and time-dependent decrease in survival of temozolomide-treated EGFR+ human-derived glioblastoma CSCs, which occurred through inhibition of NF-κB transcriptional activity. In addition, reduction in EGFR-amplified cells, along with a statistically significant decrease in NF-κB/p65 expression, were observed in specimens from recurrent metronomic-treated EGFR-overexpressing GBM patients. CONCLUSIONS:EGFR-amplified/overexpressing glioblastomas strongly benefit from metronomic temozolomide-based therapies.
Authors: Alexandra McAleenan; Claire Kelly; Francesca Spiga; Ashleigh Kernohan; Hung-Yuan Cheng; Sarah Dawson; Lena Schmidt; Tomos Robinson; Sebastian Brandner; Claire L Faulkner; Christopher Wragg; Sarah Jefferies; Amy Howell; Luke Vale; Julian P T Higgins; Kathreena M Kurian Journal: Cochrane Database Syst Rev Date: 2021-03-12
Authors: Nadia Senhaji; Sara Louati; Laila Chbani; Hind El Fatemi; Nawal Hammas; Karima Mikou; Mustapha Maaroufi; Mohammed Benzagmout; Said Boujraf; Sanae El Bardai; Marine Giry; Yannick Marie; Mohammed Chaoui El Faiz; Karima Mokhtari; Ahmed Idbaih; Afaf Amarti; Sanae Bennis Journal: Biomed Res Int Date: 2017-07-13 Impact factor: 3.411