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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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 |
work_keys_str_mv |
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