A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response

Real-time isolation, propagation, and pharmacotyping of patient-derived pancreatic cancer organoids (PDOs) may enable treatment response prediction and personalization of pancreatic cancer (PC) therapy. In our methodology, PDOs are isolated from 54 patients with suspected or confirmed PC in the fram...

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Main Authors: Alica K. Beutel, Lena Schütte, Jeanette Scheible, Elodie Roger, Martin Müller, Lukas Perkhofer, Annika M. T. U. Kestler, Johann M. Kraus, Hans A. Kestler, Thomas F. E. Barth, Johannes Lemke, Marko Kornmann, Thomas J. Ettrich, Johann Gout, Thomas Seufferlein, Alexander Kleger
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/13/11/2539
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spelling doaj-22db37dd04b44b14a8f82a0d80cbc1952021-06-01T00:45:48ZengMDPI AGCancers2072-66942021-05-01132539253910.3390/cancers13112539A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment ResponseAlica K. Beutel0Lena Schütte1Jeanette Scheible2Elodie Roger3Martin Müller4Lukas Perkhofer5Annika M. T. U. Kestler6Johann M. Kraus7Hans A. Kestler8Thomas F. E. Barth9Johannes Lemke10Marko Kornmann11Thomas J. Ettrich12Johann Gout13Thomas Seufferlein14Alexander Kleger15Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyInstitute of Medical Systems Biology, Ulm University, 89081 Ulm, GermanyInstitute of Medical Systems Biology, Ulm University, 89081 Ulm, GermanyInstitute of Medical Systems Biology, Ulm University, 89081 Ulm, GermanyInstitute of Pathology, University Hospital Ulm, 89081 Ulm, GermanyDepartment of General and Visceral Surgery, University Hospital Ulm, 89081 Ulm, GermanyDepartment of General and Visceral Surgery, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Internal Medicine, University Hospital Ulm, 89081 Ulm, GermanyReal-time isolation, propagation, and pharmacotyping of patient-derived pancreatic cancer organoids (PDOs) may enable treatment response prediction and personalization of pancreatic cancer (PC) therapy. In our methodology, PDOs are isolated from 54 patients with suspected or confirmed PC in the framework of a prospective feasibility trial. The drug response of single agents is determined by a viability assay. Areas under the curves (AUC) are clustered for each drug, and a prediction score is developed for combined regimens. Pharmacotyping profiles are obtained from 28 PDOs (efficacy 63.6%) after a median of 53 days (range 21–126 days). PDOs exhibit heterogeneous responses to the standard-of-care drugs, and are classified into high, intermediate, or low responder categories. Our developed prediction model allows a successful response prediction in treatment-naïve patients with an accuracy of 91.1% for first-line and 80.0% for second-line regimens, respectively. The power of prediction declines in pretreated patients (accuracy 40.0%), particularly with more than one prior line of chemotherapy. Progression-free survival (PFS) is significantly longer in previously treatment-naïve patients receiving a predicted tumor sensitive compared to a predicted tumor resistant regimen (mPFS 141 vs. 46 days; <i>p</i> = 0.0048). In conclusion, generation and pharmacotyping of PDOs is feasible in clinical routine and may provide substantial benefit.https://www.mdpi.com/2072-6694/13/11/2539pancreatic cancerorganoidsdrug response predictionpharmacotypingpersonalized medicine
collection DOAJ
language English
format Article
sources DOAJ
author Alica K. Beutel
Lena Schütte
Jeanette Scheible
Elodie Roger
Martin Müller
Lukas Perkhofer
Annika M. T. U. Kestler
Johann M. Kraus
Hans A. Kestler
Thomas F. E. Barth
Johannes Lemke
Marko Kornmann
Thomas J. Ettrich
Johann Gout
Thomas Seufferlein
Alexander Kleger
spellingShingle Alica K. Beutel
Lena Schütte
Jeanette Scheible
Elodie Roger
Martin Müller
Lukas Perkhofer
Annika M. T. U. Kestler
Johann M. Kraus
Hans A. Kestler
Thomas F. E. Barth
Johannes Lemke
Marko Kornmann
Thomas J. Ettrich
Johann Gout
Thomas Seufferlein
Alexander Kleger
A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response
Cancers
pancreatic cancer
organoids
drug response prediction
pharmacotyping
personalized medicine
author_facet Alica K. Beutel
Lena Schütte
Jeanette Scheible
Elodie Roger
Martin Müller
Lukas Perkhofer
Annika M. T. U. Kestler
Johann M. Kraus
Hans A. Kestler
Thomas F. E. Barth
Johannes Lemke
Marko Kornmann
Thomas J. Ettrich
Johann Gout
Thomas Seufferlein
Alexander Kleger
author_sort Alica K. Beutel
title A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response
title_short A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response
title_full A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response
title_fullStr A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response
title_full_unstemmed A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response
title_sort prospective feasibility trial to challenge patient–derived pancreatic cancer organoids in predicting treatment response
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2021-05-01
description Real-time isolation, propagation, and pharmacotyping of patient-derived pancreatic cancer organoids (PDOs) may enable treatment response prediction and personalization of pancreatic cancer (PC) therapy. In our methodology, PDOs are isolated from 54 patients with suspected or confirmed PC in the framework of a prospective feasibility trial. The drug response of single agents is determined by a viability assay. Areas under the curves (AUC) are clustered for each drug, and a prediction score is developed for combined regimens. Pharmacotyping profiles are obtained from 28 PDOs (efficacy 63.6%) after a median of 53 days (range 21–126 days). PDOs exhibit heterogeneous responses to the standard-of-care drugs, and are classified into high, intermediate, or low responder categories. Our developed prediction model allows a successful response prediction in treatment-naïve patients with an accuracy of 91.1% for first-line and 80.0% for second-line regimens, respectively. The power of prediction declines in pretreated patients (accuracy 40.0%), particularly with more than one prior line of chemotherapy. Progression-free survival (PFS) is significantly longer in previously treatment-naïve patients receiving a predicted tumor sensitive compared to a predicted tumor resistant regimen (mPFS 141 vs. 46 days; <i>p</i> = 0.0048). In conclusion, generation and pharmacotyping of PDOs is feasible in clinical routine and may provide substantial benefit.
topic pancreatic cancer
organoids
drug response prediction
pharmacotyping
personalized medicine
url https://www.mdpi.com/2072-6694/13/11/2539
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