4.7 Article

Multiplex Patient-Based Drug Response Assay in Pancreatic Ductal Adenocarcinoma

Journal

BIOMEDICINES
Volume 9, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/biomedicines9070705

Keywords

pancreatic ductal adenocarcinoma; patient-derived organoid; drug screening

Funding

  1. Brinson Foundation
  2. Rush Translational Sciences Consortium/Swim Across America Organization grant
  3. National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) [5UL1TR002389-02]

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Pancreatic ductal adenocarcinoma (PDA) is a deadly cancer with limited treatment options. This study developed a patient-derived organoid (PDO) based drug screening assay to model treatment response, revealing variability in patient responses to different therapies and identifying transcriptome signatures associated with treatment response and survival outcomes.
Pancreatic ductal adenocarcinoma (PDA) is an extremely lethal malignancy arising from the pancreas. The treatment of PDA is complicated by ineffective treatments and a lack of biomarkers predictive of treatment success. We have designed a patient-derived organoid (PDO) based high-throughput drug screening assay to model treatment response to a variety of conventional and investigational treatments for PDA. Consecutive patients undergoing endoscopic ultrasound-guided fine-needle biopsy for tissue diagnosis of PDA at Rush University Medical Center were offered to participate in the study. Biopsies were immediately processed to develop organoids. Fifteen PDOs were screened for sensitivity to 18 compounds, including conventional PDA chemotherapies and FDA-approved investigational targeted therapies in cancer using Cell-titer GLO 3D (Promega) cell viability assay. The area under the curve (AUC) was calculated and normalized to the maximum area under the curve to generate a normalized AUC between 0 and 1. Molecular profiling of PDOs was conducted using RNA-seq. Human PDA transcriptomic was extracted from The Cancer Genome Atlas (TCGA). The drug response curves were reproducible. We observed variation in response to conventional therapies overall as well as among individual patients. There were distinct transcriptome signatures associated with response to the conventional chemotherapeutics in PDA. The transcriptomic profile of overall resistance to conventional therapies in our study was associated with poor survival in PDA patients in TCGA. Our pathway analysis for targeted drugs revealed a number of predictors of response associated with the mechanism of action of the tested drug. The multiplex organoid-based drug assay could be used in preclinical to inform patient stratification and therapeutic selection in PDA. When combined with omics data, ex vivo response to treatment could help identify gene signatures associated with response to novel therapies.

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