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

drug response prediction organoids pancreatic cancer personalized medicine pharmacotyping

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
21 May 2021
Historique:
received: 23 03 2021
revised: 10 05 2021
accepted: 14 05 2021
entrez: 2 6 2021
pubmed: 3 6 2021
medline: 3 6 2021
Statut: epublish

Résumé

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;

Identifiants

pubmed: 34064221
pii: cancers13112539
doi: 10.3390/cancers13112539
pmc: PMC8196829
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Alica K Beutel (AK)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Lena Schütte (L)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Jeanette Scheible (J)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Elodie Roger (E)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Martin Müller (M)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Lukas Perkhofer (L)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Annika M T U Kestler (AMTU)

Institute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany.

Johann M Kraus (JM)

Institute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany.

Hans A Kestler (HA)

Institute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany.

Thomas F E Barth (TFE)

Institute of Pathology, University Hospital Ulm, 89081 Ulm, Germany.

Johannes Lemke (J)

Department of General and Visceral Surgery, University Hospital Ulm, 89081 Ulm, Germany.

Marko Kornmann (M)

Department of General and Visceral Surgery, University Hospital Ulm, 89081 Ulm, Germany.

Thomas J Ettrich (TJ)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Johann Gout (J)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Thomas Seufferlein (T)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Alexander Kleger (A)

Department of Internal Medicine, University Hospital Ulm, 89081 Ulm, Germany.

Classifications MeSH