Epithelial to mesenchymal plasticity and differential response to therapies in pancreatic ductal adenocarcinoma
Menée à l'aide de lignées cellulaires d'adénocarcinome canalaire du pancréas, de modèles murins et d'échantillons tumoraux prélevés sur des patients, cette étude analyse, en fonction du phénotype de la tumeur (épithélial ou quasi-mésenchymateux), l'effet de différents traitements sur la plasticité des tissus tumoraux et la transcription des gènes
PDAC epithelial (E) and quasi-mesenchymal (QM) subtypes can be modulated by different therapies demonstrating the plasticity of PDAC cells that contributes to the heterogeneity of PDAC tumors and their intrinsic resistance to a broad spectrum of therapies. Understanding and monitoring the fluidity of PDAC E and QM states are critical to the development of improved clinical trial design to target these different subpopulations.Transcriptional profiling has defined pancreatic ductal adenocarcinoma (PDAC) into distinct subtypes with the majority being classical epithelial (E) or quasi-mesenchymal (QM). Despite clear differences in clinical behavior, growing evidence indicates these subtypes exist on a continuum with features of both subtypes present and suggestive of interconverting cell states. Here, we investigated the impact of different therapies being evaluated in PDAC on the phenotypic spectrum of the E/QM state. We demonstrate using RNA-sequencing and RNA-in situ hybridization (RNA-ISH) that FOLFIRINOX combination chemotherapy induces a common shift of both E and QM PDAC toward a more QM state in cell lines and patient tumors. In contrast, Vitamin D, another drug under clinical investigation in PDAC, induces distinct transcriptional responses in each PDAC subtype, with augmentation of the baseline E and QM state. Importantly, this translates to functional changes that increase metastatic propensity in QM PDAC, but decrease dissemination in E PDAC in vivo models. These data exemplify the importance of both the initial E/QM subtype and the plasticity of E/QM states in PDAC in influencing response to therapy, which highlights their relevance in guiding clinical trials.