EGFR as a potential therapeutic target for a subset of muscle-invasive bladder cancers presenting a basal-like phenotype

Sandra Rebouissou(Centre National de la Recherche Scientifique), Isabelle Bernard‐Pierrot(Centre National de la Recherche Scientifique), Aurélien de Reyniès(La Ligue Contre le Cancer), May‐Linda Lepage(Centre National de la Recherche Scientifique), Clémentine Krucker(Centre National de la Recherche Scientifique), Elodie Chapeaublanc(Centre National de la Recherche Scientifique), Aurélie Hérault(Centre National de la Recherche Scientifique), Aurélie Kamoun(Centre National de la Recherche Scientifique), Aurélie Caillault(Centre National de la Recherche Scientifique), Éric Letouzé(La Ligue Contre le Cancer), Nabila Elarouci(La Ligue Contre le Cancer), Y. Neuzillet(Université de Versailles Saint-Quentin-en-Yvelines), Yves Denoux(Hôpital Foch), Vincent Molinié(Hôpital Saint Joseph), Dimitri Vordos(Assistance Publique – Hôpitaux de Paris), Agnès Laplanche(Institut Gustave Roussy), Pascale Maillé(Assistance Publique – Hôpitaux de Paris), Pascale Soyeux(Inserm), Karina Ofualuka(Inserm), Fabien Reyal(Centre National de la Recherche Scientifique), Anne Biton(Centre National de la Recherche Scientifique), Mathilde Sibony(Hôpital Cochin), Xavier Paolettí(Inserm), Jennifer Southgate(University of York), Simone Benhamou(Centre National de la Recherche Scientifique), Thierry Lebrét(Université de Versailles Saint-Quentin-en-Yvelines), Yves Allory(Inserm), François Radvanyi(Centre National de la Recherche Scientifique)
Science Translational Medicine
July 9, 2014
Cited by 383

Abstract

Muscle-invasive bladder carcinoma (MIBC) constitutes a heterogeneous group of tumors with a poor outcome. Molecular stratification of MIBC may identify clinically relevant tumor subgroups and help to provide effective targeted therapies. From seven series of large-scale transcriptomic data (383 tumors), we identified an MIBC subgroup accounting for 23.5% of MIBC, associated with shorter survival and displaying a basal-like phenotype, as shown by the expression of epithelial basal cell markers. Basal-like tumors presented an activation of the epidermal growth factor receptor (EGFR) pathway linked to frequent EGFR gains and activation of an EGFR autocrine loop. We used a 40-gene expression classifier derived from human tumors to identify human bladder cancer cell lines and a chemically induced mouse model of bladder cancer corresponding to human basal-like bladder cancer. We showed, in both models, that tumor cells were sensitive to anti-EGFR therapy. Our findings provide preclinical proof of concept that anti-EGFR therapy can be used to target a subset of particularly aggressive MIBC tumors expressing basal cell markers and provide diagnostic tools for identifying these tumors.


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