Multiplex Patient-Based Drug Response Assay in Pancreatic Ductal Adenocarcinoma

Andrew Armstrong1, Muhammad R Haque2, Sina Mirbagheri1

  • 1Department of Internal Medicine, Division of Gastroenterology, Rush University Medical Center, Chicago, IL 60612, USA.

Biomedicines
|July 2, 2021
PubMed

Insights

Patient-derived organoids accurately model pancreatic cancer drug response. Transcriptome signatures linked to drug resistance in organoids correlated with poor patient survival, aiding therapeutic selection.

Area of Science:

  • Oncology
  • Translational Research
  • Genomics

Background:

  • Pancreatic ductal adenocarcinoma (PDA) presents significant treatment challenges due to ineffective therapies and a lack of predictive biomarkers.
  • Current treatment strategies for PDA often yield limited success, necessitating novel approaches for patient stratification and therapeutic selection.

Purpose of the Study:

  • To develop and validate a patient-derived organoid (PDO) based high-throughput drug screening assay for modeling PDA treatment response.
  • To identify transcriptome signatures associated with drug sensitivity and resistance in PDA.
  • To explore the potential of ex vivo drug screening combined with omics data for personalized PDA therapy.

Main Methods:

  • Patient biopsies were used to generate fifteen patient-derived organoids (PDOs).
  • PDOs underwent high-throughput screening against 18 conventional and investigational drugs using Cell-titer GLO 3D assay.
  • Molecular profiling via RNA-seq was performed on PDOs, with comparative analysis against The Cancer Genome Atlas (TCGA) PDA data.

Main Results:

  • Reproducible drug response curves were observed across PDOs, with significant inter-patient variability in treatment sensitivity.
  • Distinct transcriptome signatures correlated with response to conventional chemotherapeutics.
  • Transcriptomic profiles associated with resistance to conventional therapies in PDOs were linked to poorer survival in TCGA PDA patients.
  • Pathway analysis identified predictors of response for targeted drugs based on their mechanism of action.

Conclusions:

  • The PDO-based drug screening assay effectively models PDA treatment response and can predict clinical outcomes.
  • Transcriptome signatures identified ex vivo can serve as biomarkers for therapeutic selection and patient stratification in PDA.
  • Integrating organoid drug response with omics data holds promise for advancing personalized medicine in pancreatic cancer.

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