Search results for "Recurrent Glioblastoma"

Blood baseline neutrophil count predicts bevacizumab efficacy in glioblastoma

2016

// Aurelie Bertaut 1 , Caroline Truntzer 2 , Rachid Madkouri 3 , Coureche Guillaume Kaderbhai 4 , Valentin Derangere 5 , Julie Vincent 4 , Bruno Chauffert 6 , Marie Helene Aubriot-Lorton 7 , Wahlid Farah 3 , Klaus Luc Mourier 3 , Romain Boidot 5,8 and Francois Ghiringhelli 4,5,8,9 1 Biostatistics unit Georges Francois Leclerc Cancer Center, Dijon, France 2 CLIPP, Research Center, University of Burgundy, Dijon, France 3 Department of Neurosurgery, CHU, Dijon, France 4 Department of Medical Oncology, Georges Francois Leclerc Cancer Center, Dijon, France 5 Platform of Transfer in Cancer Biology Genetic and histology, Georges Francois Leclerc Cancer Center, Dijon, France 6 Department of Medical…

Integrated approach to delineating molecular traits of recurrent glioblastoma using glioma stem cell models and tumor tissue profiling

2018

ERGO: A pilot study of ketogenic diet in recurrent glioblastoma

2014

Limiting dietary carbohydrates inhibits glioma growth in preclinical models. Therefore, the ERGO trial (NCT00575146) examined feasibility of a ketogenic diet in 20 patients with recurrent glioblastoma. Patients were put on a low-carbohydrate, ketogenic diet containing plant oils. Feasibility was the primary endpoint, secondary endpoints included the percentage of patients reaching urinary ketosis, progression-free survival (PFS) and overall survival. The effects of a ketogenic diet alone or in combination with bevacizumab was also explored in an orthotopic U87MG glioblastoma model in nude mice. Three patients (15%) discontinued the diet for poor tolerability. No serious adverse events attri…

RNA-sequencing and bioinformatic analysis to pre-assess sensitivity to targeted therapeutics in recurrent glioblastoma.

2019

e13533 Background: This study developed molecular guided tools for individualized selection of chemotherapeutics for recurrent glioblastoma (rGB). A consortium involving clinical neurooncologists, molecular biologists and bioinformaticians identified gene expression patterns in rGB and quantitatively analyzed pathways involved in response to FDA approved oncodrugs. Methods: From2016 to 2018 biopsies from GB were collected using a multisampling approach. Biopsy material was used to isolate glioma stem-like cells and examined by RNA-sequencing. RNA-seq results were subjected to differential expression (DE) analysis and Oncobox analysis – a bioinformatic tool for quantitative pathway activati…

Intratumoral Heterogeneity and Longitudinal Changes in Gene Expression Predict Differential Drug Sensitivity in Newly Diagnosed and Recurrent Gliobla…

2020

Background: Inevitable recurrence after radiochemotherapy is the major problem in the treatment of glioblastoma, the most prevalent type of adult brain malignancy. Glioblastomas are notorious for a high degree of intratumor heterogeneity manifest through a diversity of cell types and molecular patterns. The current paradigm of understanding glioblastoma recurrence is that cytotoxic therapy fails to target effectively glioma stem cells. Recent advances indicate that therapy-driven molecular evolution is a fundamental trait associated with glioblastoma recurrence. There is a growing body of evidence indicating that intratumor heterogeneity, longitudinal changes in molecular biomarkers and spe…