Browsing by Author "Bekaii-Saab, Tanios S."

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    Culture media composition influences patient-derived organoid ability to predict therapeutic responses in gastrointestinal cancers
    (American Society for Clinical Investigation, 2022-11-22) Hogenson, Tara L.; Xie, Hao; Phillips, William J.; Toruner, Merih D.; Li, Jenny J.; Horn, Isaac P.; Kennedy, Devin J.; Almada, Luciana L.; Marks, David L.; Carr, Ryan M.; Toruner, Murat; Sigafoos, Ashley N.; Koenig-Kappes, Amanda N.; Olson, Rachel Lo; Tolosa, Ezequiel J.; Zhang, Cheng; Li, Hu; Doles, Jason D.; Bleeker, Jonathan; Barrett, Michael T.; Boyum, James H.; Kipp, Benjamin R.; Mahipal, Amit; Hubbard, Joleen M.; Scheffler Hanson, Temperance J.; Petersen, Gloria M.; Dasari, Surendra; Oberg, Ann L.; Truty, Mark J.; Graham, Rondell P.; Levy, Michael J.; Zhu, Mojun; Billadeau, Daniel D.; Adjei, Alex A.; Dusetti, Nelson; Iovanna, Juan L.; Bekaii-Saab, Tanios S.; Ma, Wen Wee; Fernandez-Zapico, Martin E.; Anatomy, Cell Biology and Physiology, School of Medicine
    BACKGROUND: A patient-derived organoid (PDO) platform may serve as a promising tool for translational cancer research. In this study, we evaluated PDO’s ability to predict clinical response to gastrointestinal (GI) cancers. METHODS: We generated PDOs from primary and metastatic lesions of patients with GI cancers, including pancreatic ductal adenocarcinoma, colorectal adenocarcinoma, and cholangiocarcinoma. We compared PDO response with the observed clinical response for donor patients to the same treatments. RESULTS: We report an approximately 80% concordance rate between PDO and donor tumor response. Importantly, we found a profound influence of culture media on PDO phenotype, where we showed a significant difference in response to standard-of-care chemotherapies, distinct morphologies, and transcriptomes between media within the same PDO cultures. CONCLUSION: While we demonstrate a high concordance rate between donor tumor and PDO, these studies also showed the important role of culture media when using PDOs to inform treatment selection and predict response across a spectrum of GI cancers.