Unbiased Quantitative Proteomics of Organoid Models of Pancreatic Cancer

• Published in: Methods in molecular biology (Clifton, N.J.) Vol. 2823; p. 77
• Main Authors: Low, Ronnie Ren Jie, Fung, Ka Yee, Dagley, Laura F, Yousef, Jumana, Emery-Corbin, Samantha J, Putoczki, Tracy L
• Format: Journal Article
• Language: English
• Published: United States 2024
• Subjects: Animals; Biomarkers, Tumor - metabolism; Carcinoma, Pancreatic Ductal - metabolism; Carcinoma, Pancreatic Ductal - pathology; Humans; Mice; Organoids - metabolism; Pancreatic Neoplasms - genetics; Pancreatic Neoplasms - metabolism; Pancreatic Neoplasms - pathology; Proteome; Proteomics - methods; Model; Organoid; FACs; Pancreatic cancer; Proteomics
• DOI: 10.1007/978-1-0716-3922-1_6

Pancreatic ductal adenocarcinoma (PDAC) is a lethal solid malignancy with many patients succumbing to the disease within 6 months of diagnosis. The mechanisms that underlie PDAC initiation and progression are poorly understood. Current treatment options are primarily limited to chemotherapy, which is often provided with palliative intent. Unfortunately, there are no robust biomarkers to guide treatment selection or monitor treatment response. This is concerning given the increasing incidence of this cancer. We and others have generated organoid models to explore the biology underlying PDAC with the goal of identifying new therapeutic targets. Here we provide protocols to generate a preclinical PDAC organoid model and methods to use these to define the proteomic landscape of this cancer.