Patient-derived organoids as a platform for modeling a patient’s response to chemoradiotherapy in esophageal cancer

Autor: Eric W. Lin, Michele M. Kim, Uma M. Sachdeva, Hiroshi Nakagawa, Maureen DeMarshall, Gary W. Falk, Eric S. Diffenderfer, Anil K. Rustgi, Gregory G. Ginsberg, Jason R. Pitarresi, Tatiana A. Karakasheva, Ricardo Cruz-Acuna, Jinyang Li, Amanda B. Muir, Joel Gabre, Adam J. Bass, Kathryn E. Hamilton, Zhaohai Yang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports
ISSN: 2045-2322
Popis: 3D patient-derived organoids (PDOs) have been utilized to evaluate potential therapies for patients with different cancers. However, the use of PDOs created from treatment-naive patient biopsies for prediction of clinical outcomes in patients with esophageal cancer has not yet been reported. Herein we describe a pilot prospective observational study with the goal of determining whether esophageal cancer PDOs created from treatment naive patients can model or predict clinical outcomes. Endoscopic biopsies of treatment-naive patients at a single tertiary care center were used to generate esophageal cancer PDOs, which were treated with standard-of-care chemotherapy, gamma-irradiation, and newer non-standard approaches, such as proton beam therapy or two small molecule inhibitors. Clinical outcomes of patients following neoadjuvant treatment were compared to their in vitro PDO responses, demonstrating the PDO’s ability to mirror clinical response, suggesting the value of PDOs in prediction of clinical response to new therapeutic approaches. Future prospective clinical trials should test the use of pre-treatment PDOs to identify specific, targeted therapies for individual patients with esophageal adenocarcinoma.
Databáze: OpenAIRE
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