Emilie Denicolai
Aix-Marseille University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Emilie Denicolai.
Experimental Cell Research | 2014
Carine Jiguet Jiglaire; Nathalie Baeza-Kallee; Emilie Denicolai; Doriane Barets; Philippe Metellus; Laetitia Padovani; Olivier Chinot; Dominique Figarella-Branger; Carla Fernandez
Identification of new drugs and predicting drug response are major challenges in oncology, especially for brain tumors, because total surgical resection is difficult and radiation therapy or chemotherapy is often ineffective. With the aim of developing a culture system close to in vivo conditions for testing new drugs, we characterized an ex vivo three-dimensional culture system based on a hyaluronic acid-rich hydrogel and compared it with classical two-dimensional culture conditions. U87-MG glioblastoma cells and seven primary cell cultures of human glioblastomas were subjected to radiation therapy and chemotherapy drugs. It appears that 3D hydrogel preserves the original cancer growth behavior and enables assessment of the sensitivity of malignant gliomas to radiation and drugs with regard to inter-tumoral heterogeneity of therapeutic response. It could be used for preclinical assessment of new therapies.
Oncotarget | 2016
Emilie Denicolai; Emeline Tabouret; Carole Colin; Philippe Metellus; Isabelle Nanni; Celine Boucard; Aurélie Tchoghandjian; David Meyronet; Nathalie Baeza-Kallee; Olivier Chinot; Dominique Figarella-Branger
Glioblastomas in adults are highly heterogeneous tumors that can develop throughout the brain. To date no predictive-location marker has been identified. We previously derived two glioblastoma cell lines from cortical and periventricular locations and demonstrated distinct transcriptomic profiles. Based on these preliminary results, the aim of this study was to correlate glioblastoma locations with the expression of ten selected genes (VEGFC, FLT4, MET, HGF, CHI3L1, PROM1, NOTCH1, DLL3, PDGFRA, BCAN). Fifty nine patients with newly diagnosed glioblastomas were retrospectively included. Tumors were classified into cortical and periventricular locations, which were subsequently segregated according to cerebral lobes involved: cortical fronto-parietal (C-FP), cortical temporal (C-T), periventricular fronto-parietal (PV-FP), periventricular temporal (PV-T), and periventricular occipital (PV-O). Gene expression levels were determined using RT-qPCR. Compared to cortical glioblastomas, periventricular glioblastomas were characterized by a higher expression of two mesenchymal genes, VEGFC (p = 0.001) and HGF (p = 0.001). Among cortical locations, gene expressions were homogeneous. In contrast, periventricular locations exhibited distinct expression profiles. PV-T tumors were associated with higher expression of two proneural and cancer stem cell genes, NOTCH1 (p = 0.028) and PROM1 (p = 0.033) while PV-FP tumors were characterized by high expression of a mesenchymal gene, CHI3L1 (p = 0.006). Protein expression of NOTCH1 was correlated with RNA expression levels. PV-O glioblastomas were associated with lower expression of VEGFC (p = 0.032) than other periventricular locations, whereas MET overexpression remained exceptional. These data suggest a differential gene expression profile according to initial glioblastoma location.
Cell Death and Disease | 2016
Aurélie Tchoghandjian; A Soubéran; Emeline Tabouret; Carole Colin; Emilie Denicolai; C Jiguet-Jiglaire; A El-Battari; C Villard; Nathalie Baeza-Kallee; Dominique Figarella-Branger
Glioblastomas (GBMs) are the most aggressive primary brain tumors in adult and remain a therapeutic challenge. Targeting key apoptosis regulators with the ultimate aim to restore apoptosis in tumor cells could be an interesting therapeutic strategy. The inhibitors of apoptosis proteins (IAPs) are regulators of cell death and represent attractive targets, especially because they can be antagonized by SMAC mimetics. In this study, we first investigated the expression of cIAP1, cIAP2, XIAP and ML-IAP in human GBM samples and in four different cell lines. We showed that all GBM samples and GBM cell lines expressed all these IAPs, although the expression of each IAP varied from one case to another. We then showed that high level of ML-IAP predicted worse progression-free survival and overall survival in both univariate and multivariate analyses in two independent cohorts of 58 and 43 primary human GBMs. We then used GDC-0152, a SMAC mimetic that antagonizes these IAPs and confirmed that GDC-0152 treatment in vitro decreased IAPs in all the cell lines studied. It affected cell line viability and triggered apoptosis, although the effect was higher in U87MG and GL261 than in GBM6 and GBM9 cell lines. In vivo, GDC-0152 effect on U87MG orthotopic xenografts was dose dependent; it postponed tumor formation and slowed down tumor growth, significantly improving survival of GBM-bearing mice. This study revealed for the first time that ML-IAP protein expression correlates with GBM patient survival and that its antagonist GDC-0152 improves outcome in xenografted mouse.
Journal of Neuro-oncology | 2016
Emeline Tabouret; Emilie Denicolai; Christine Delfino; Thomas Graillon; Celine Boucard; Isabelle Nanni; Laetitia Padovani; Dominique Figarella-Branger; Olivier Chinot
Angiogenesis is one of the key features of glioblastoma (GB). However, the use of anti-angiogenic therapies directed against vascular endothelial growth factor (VEGF) is limited by primary or acquired resistance. MET/HGF and PlGF signaling are involved in potential alternative escape mechanisms to VEGF pathway. Our objective was to explore the potential changes of MET/HGF and PlGF expression, comparing initial diagnosis and recurrence after radiotherapy-temozolomide (RT/TMZ). Paired frozen tumors from both initial and recurrent surgery after radio-chemotherapy were available for 28 patients. RNA expressions of PlGF, MET, and HGF genes were analyzed by RT-qPCR. PlGF expression significantly decreased at recurrence (p = 0.021), and expression of MET showed a significant increase (p = 0.011) at recurrence. RNA expressions of MET and HGF significantly correlated both at baseline and recurrence (baseline: p = 0.005; recurrence: p = 0.019). Evolutive profile (increasing versus decreasing expression at recurrence) of MET was associated with PFS (p = 0.002) and OS (p = 0.022) at recurrence, while the evolutive profile of HGF was associated with PFS at relapse (p = 0.049). Recurrence of GB after chemo-radiation could be associated with a variation in PlGF and MET expression. These results contribute to suggest a modification of the GB angiogenic process between initial diagnosis and recurrence.
Oncotarget | 2014
Emilie Denicolai; Nathalie Baeza-Kallee; Aurélie Tchoghandjian; Manon Carré; Carole Colin; Carine Jiguet Jiglaire; Sandy Mercurio; Christophe Béclin; Dominique Figarella-Branger
Oncotarget | 2015
Emeline Tabouret; Aurélie Tchoghandjian; Emilie Denicolai; Christine Delfino; Philippe Metellus; Thomas Graillon; Celine Boucard; Isabelle Nanni; Laetitia Padovani; L'Houcine Ouafik; Dominique Figarella-Branger; Olivier Chinot
Cell Death and Disease | 2018
Raphael Berges; Emilie Denicolai; Aurélie Tchoghandjian; Nathalie Baeza-Kallee; Stéphane Honoré; Dominique Figarella-Branger; Diane Braguer
Neuro-oncology | 2016
Emilie Denicolai; Dominique Figarella-Branger; Olivier Chinot; Emeline Tabouret
Neuro-oncology | 2014
Emeline Tabouret; Françoise Boudouresque; Emilie Denicolai; M. Barrie; Celine Boucard; Philippe Metellus; Didier Autran; Dominique Figarella-Branger; L'Houcine Ouafik; O. Chinot
Neuro-oncology | 2014
Emeline Tabouret; Aurélie Tchoghandjian; Emilie Denicolai; Christine Delfino; Philippe Metellus; M. Barrie; Celine Boucard; L'Houcine Ouafik; Dominique Figarella-Branger; O. Chinot