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Abstract
Resistance to chemotherapy of pancreatic ductal adenocarcinoma (PDAC) is largely driven by intratumoral heterogeneity (ITH) due to tumor cell plasticity and clonal diversity. To develop alternative strategies to overcome this defined mechanism of resistance, tools to monitor and quantify ITH in a rapid and scalable fashion are needed urgently. Here, we employed label-free digital holographic microscopy (DHM) to characterize ITH in PDAC. We established a robust experimental and machine learning analysis pipeline to perform single-cell phenotyping based on DHM-derived phase images of PDAC cells in suspension. Importantly, we were able to detect dynamic changes in tumor cell differentiation and heterogeneity of distinct PDAC subtypes upon induction of epithelial-mesenchymal transition and under treatment-imposed pressure in murine and patient-derived model systems. This platform allowed us to assess phenotypic ITH in PDAC on a single-cell level in real time. Implementing this technology into the clinical workflow has the potential to fundamentally increase our understanding of tumor heterogeneity during evolution and treatment response.
Authors
Katja Wittenzellner, Manuel Lengl, Stefan Röhrl, Carlo Maurer, Christian Klenk, Aristeidis Papargyriou, Laura Schmidleitner, Nicole Kabella, Akul Shastri, David E. Fresacher, Farid Harb, Nawal Hafez, Stefanie Bärthel, Daniele Lucarelli, Carmen Escorial-Iriarte, Felix Orben, Rupert Öllinger, Ellen Emken, Lisa Fricke, Joanna Madej, Patrick Wustrow, I. Ekin Demir, Helmut Friess, Tobias Lahmer, Roland M. Schmid, Roland Rad, Günter Schneider, Bernhard Kuster, Dieter Saur, Oliver Hayden, Klaus Diepold, Maximilian Reichert
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