Prostate Cancer Organoids for Tumor Modeling and Drug Screening.

Methods Mol Biol

Department of Anatomy, Cell Biology, and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.

Published: March 2024

AI Article Synopsis

  • - Prostate cancer (PCa) is a common and deadly cancer in men, but creating accurate lab models for it has been challenging due to the disease's complexity and variety.
  • - The patient-derived organoid (PDO) technique is a new 3D method that allows researchers to grow mini tumors from actual patient cells, maintaining the properties of the original tumor.
  • - This approach not only helps in drug testing and understanding tumor behavior, but it also shows potential for advancing personalized medicine in PCa treatment.

Article Abstract

Prostate cancer (PCa) is the second most common malignancy and the fifth leading cause of cancer death in men worldwide. Despite its prevalence, the highly heterogenic PCa has shown difficulty to establish representative cell lines that reflect the diverse phenotypes and different stages of the disease in vitro and hence hard to model in preclinical research. The patient-derived organoid (PDO) technique has emerged as a groundbreaking three-dimensional (3D) tumor modeling platform in cancer research. This versatile assay relies on the unique ability of cancer stem cells (CSCs) to self-organize and differentiate into organ-like mini structures. The PDO culture system allows for the long-term maintenance of cancer cells derived from patient tumor tissues. Moreover, it recapitulates the parental tumor features and serves as a superior preclinical model for in vitro tumor representation and personalized drug screening. Henceforth, PDOs hold great promise in precision medicine for cancer. Herein, we describe the detailed protocol to establish and propagate organoids derived from isolated cell suspensions of PCa patient tissues or cell lines using the 3D semisolid Matrigelâ„¢-based hanging-drop method. In addition, we highlight the relevance of PDOs as a tool for evaluating drug efficacy and predicting tumor response in PCa patients.

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Source
http://dx.doi.org/10.1007/978-1-0716-3730-2_10DOI Listing

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