RBRaphael Bergès

Raphael Bergès

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Raphael Bergès has a total of 19 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    A new nanoDSF approach to anti-tubulin compounds screening revealed novel MTAs among approved drugs

    by Viktoriia E Baksheeva, Romain La Rocca, Ludovic Leloup, Aurelie Souberan, Raphael Bergès, Diane Allegro, Carine Derviaux, Eddy Pasquier, Philippe Roche, Xavier Morelli, et al.

    Microtubule Targeting Agents (MTAs) constitute a vital category of tubulin-binding compounds, deployed across anticancer therapies. Despite the array of MTA drugs developed by pharmaceutical entities, the quest for novel efficacious molecules continues unabated. We unveil an innovative in vitro MTA screening methodology employing nano differential scanning fluorimetry (nanoDSF), presenting distinct advantages over known assays. This novel approach not only assesses compound-tubulin binding but also quantitatively analyzes their impact on tubulin polymerization. Proposed nanoDSF assay was rigorously validated using the Prestwick Chemical Library, which encompasses 1,520 approved compounds, successfully identifying all previously known MTAs. Furthermore, this screening has unearthed potential anti-tubulin agents among drugs currently utilized for non-related medical conditions, offering insights into their mechanisms of action in inhibiting cancer cell proliferation and/or inducing cytotoxicity. These discoveries herald new opportunities for drug repositioning involving the newly identified MTAs and substantially streamline the process of screening extensive chemical libraries for MTAs featuring novel chemical structures.

  • Open Access

    The Novel Tubulin-Binding Checkpoint Activator BAL101553 Inhibits EB1-Dependent Migration and Invasion and Promotes Differentiation of Glioblastoma Stem-like Cells

    by Raphaël Bergès, Aurélie Tchoghandjian, Stéphane Honoré, Marie-Anne Estève, Dominique Figarella-Branger, Felix Bachmann, Heidi A. Lane, Diane Braguer

    Glioblastoma patients have limited treatment options. Cancer stem-like cells (CSLC) contribute to glioblastoma invasiveness and repopulation; hence, they represent promising targets for novel therapies. BAL101553 is a prodrug of BAL27862, a novel microtubule-destabilizing agent inhibiting tumor cell proliferation through activation of the spindle assembly checkpoint, which is currently in phase I/II clinical development. Broad anticancer activity has been demonstrated against human cancer models, including tumors refractory to conventional treatments. We have shown that overexpression of microtubule + end-binding 1-protein (EB1) correlates with glioblastoma progression and poor survival. Here, we show that BAL27862 inhibits the growth of two glioblastoma CSLCs. As EB1 is overexpressed in the CSLC line GBM6, which displays a high tumorigenicity and infiltrative pattern of migration in vivo, we investigated drug activity on GBM6 according to EB1 expression. BAL27862 inhibited migration and colony formation at subcytotoxic concentrations in EB1-expressing control cells (GBM6-sh0) but only at cytotoxic concentrations in EB1-downregulated (GBM-shE1) cells. Three administrations of BAL101553 were sufficient to provoke an EB1-dependent survival benefit in tumor-bearing mice. Patterns of invasion and quantification of tumor cells in brain demonstrated that GBM6-sh0 cells were more invasive than GBM6-shEB1 cells, and that the antiproliferative and anti-invasive effects of BAL101553 were more potent in mice bearing control tumors than in EB1-downregulated tumors. This was associated with inhibition of stem cell properties in the GBM6-sh0 model. Finally, BAL27862 triggered astrocytic differentiation of GBM6 in an EB1-dependent manner. These results support the potential of BAL101553 for glioblastoma treatment, with EB1 expression as a predictive biomarker of response. Mol Cancer Ther; 15(11); 2740–9. ©2016 AACR.