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Isolation and Characterization of Patient-derived Pancreatic Ductal Adenocarcinoma Organoid Models
Published on: January 14, 2020
Organoids for Functional Precision Medicine in Advanced Pancreatic Cancer
Alice Boilève1, Jérôme Cartry2, Negaar Goudarzi3
1INSERM U1279, Gustave Roussy, Villejuif, France; Université Paris Saclay, Orsay, France; Gustave Roussy, Département de Médecine, Villejuif, France.
Background & Aims:
Patient-derived organoids (PDOs) are promising tumor avatars that could enable ex vivo drug tests to personalize patients' treatments in the frame of functional precision oncology. However, clinical evidence remains scarce. This study aims to evaluate whether PDOs can be implemented in clinical practice to benefit patients with advanced refractory pancreatic ductal adenocarcinoma (PDAC).
Methods:
During 2021 to 2022, 87 patients were prospectively enrolled in an institutional review board-approved protocol. Inclusion criteria were histologically confirmed PDAC with the tumor site accessible. A panel of 25 approved antitumor therapies (chemogram) was tested and compared to patient responses to assess PDO predictive values and map the drug sensitivity landscape in PDAC.
Results:
Fifty-four PDOs were generated from 87 pretreated patients (take-on rate, 62%). The main PDO mutations were KRAS (96%), TP53 (88%), and CDKN2A/B (22%), with a 91% concordance rate with their tumor of origin. The mean turnaround time to chemogram was 6.8 weeks. In 91% of cases, ≥1 hit was identified (gemcitabine (n = 20 of 54), docetaxel (n = 18 of 54), and vinorelbine (n = 17 of 54), with a median of 3 hits/patient (range, 0-12). Our cohort included 34 evaluable patients with full clinical follow-up. We report a chemogram sensitivity of 83.3% and specificity of 92.9%. The overall response rate and progression-free survival were higher when patients received a hit treatment as compared to patients who received a nonhit drug (as part of routine management). Finally, we leveraged our PDO collection as a platform for drug validation and combo identification. We tested anti-KRASG12D (MRTX1133), alone or combined, and identified a specific synergy with anti-EGFR therapies in KRASG12D variants.
Conclusions:
We report the largest prospective study aiming at implementing PDO-based functional precision oncology and identify very robust predictive values in this clinical setting. In a clinically relevant turnaround time, we identify putative hits for 91% of patients, providing unexpected potential survival benefits in this very aggressive indication. Although this remains to be confirmed in interventional precision oncology trials, PDO collection already provides powerful opportunities for drugs and combinatorial treatment development.
Insights
Patient-derived organoids (PDOs) show high accuracy in predicting drug responses for pancreatic cancer patients. This approach offers potential survival benefits and aids in developing new combination therapies for advanced pancreatic ductal adenocarcinoma (PDAC).
Area of Science:
- Oncology
- Translational Medicine
- Genomics
Background:
- Patient-derived organoids (PDOs) are emerging as valuable tumor models for ex vivo drug testing.
- Functional precision oncology aims to personalize cancer treatments using these models.
- Clinical validation of PDOs for advanced pancreatic ductal adenocarcinoma (PDAC) is limited.
Purpose of the Study:
- To evaluate the clinical implementation of PDOs for patients with advanced refractory PDAC.
- To assess the predictive value of PDOs for patient treatment response.
- To map the drug sensitivity landscape in PDAC using PDOs.
Main Methods:
- Prospective enrollment of 87 patients with histologically confirmed PDAC.
- Generation of PDOs and testing against a panel of 25 antitumor therapies (chemogram).
- Comparison of PDO drug sensitivity results with patient clinical responses.
Main Results:
- A 62% PDO take-on rate was achieved, with 91% genetic concordance to the primary tumor.
- A median of 3 drug "hits" per patient were identified within 6.8 weeks.
- High predictive accuracy (83.3% sensitivity, 92.9% specificity) was observed, with improved patient outcomes for "hit" treatments.
- Synergy between anti-KRASG12D and anti-EGFR therapies was identified in PDO models.
Conclusions:
- PDOs demonstrate robust predictive value for guiding treatment in advanced PDAC.
- This approach can identify effective therapies for 91% of patients within a clinically relevant timeframe.
- PDOs serve as a powerful platform for drug validation and the discovery of novel combination therapies, potentially improving survival in PDAC.
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