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Wittenzellner, K.* ; Lengl, M.* ; Röhrl, S.* ; Maurer, C.* ; Klenk, C.* ; Papargyriou, A. ; Schmidleitner, L.* ; Kabella, N.* ; Shastri, A.R.* ; Fresacher, D.E.* ; Harb, F.* ; Hafez, N.* ; Bärthel, S.* ; Lucarelli, D.* ; Escorial-Iriarte, C.* ; Orben, F.* ; Öllinger, R.* ; Emken, E.* ; Fricke, L.* ; Madej, J.* ; Wustrow, P.* ; Ekin Demir, I.* ; Friess, H.* ; Lahmer, T.* ; Schmid, R.M.* ; Rad, R.* ; Schneider, G.* ; Kuster, B.* ; Saur, D.* ; Hayden, O.* ; Diepold, K.* ; Reichert, M.

Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time.

JCI insight 10:e169105 (2025)
Publ. Version/Full Text Research data DOI
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Ductal Adenocarcinoma; Subtypes; Survival
ISSN (print) / ISBN 2379-3708
e-ISSN 2379-3708
Journal JCI insight
Quellenangaben Volume: 10, Issue: 13, Pages: , Article Number: e169105 Supplement: ,
Publisher Clarivate
Publishing Place Ann Arbor, Michigan
Non-patent literature Publications
Reviewing status Peer reviewed
Grants BZKF Lighthouse Project: "Preclinical Model Systems"
Deutsche Krebshilfe
Wilhelm Sander Stiftung
German Cancer Aid
Bavarian Ministry of Economic Affairs, Regional Development and Energy
Project EISglobe
Federal Ministry of Education and Research
QuE-MRT
FAIRPACT
DKTK Strategic Initiative Organoid Platform
DFG