Literature DB >> 34600901

Preclinical tumor organoid models in personalized cancer therapy: Not everyone fits the mold.

Li-Feng Hu1, Xue Yang2, Huan-Rong Lan3, Xing-Liang Fang4, Xiao-Yi Chen5, Ke-Tao Jin6.   

Abstract

In contrast to conventional cancer treatment, in personalized cancer medicine each patient receives a specific treatment. The response to therapy, clinical outcomes, and tumor behavior such as metastases, tumor progression, carcinogenesis can be significantly affected by the heterogeneous tumor microenvironment (TME) and interpersonal differences. Therefore, using native tumor microenvironment mimicking models is necessary to improving personalized cancer therapy. Both in vitro 2D cell culture and in vivo animal models poorly recapitulate the heterogeneous tumor (immune) microenvironments of native tumors. The development of 3D culture models, native tumor microenvironment mimicking models, made it possible to evaluate the chemoresistance of tumor tissue and the functionality of drugs in the presence of cell-extracellular matrix and cell-cell interactions in a 3D construction. Various personalized tumor models have been designed to preserving the native tumor microenvironment, including patient-derived tumor xenografts and organoid culture strategies. In this review, we will discuss the patient-derived organoids as a native tumor microenvironment mimicking model in personalized cancer therapy. In addition, we will also review the potential and the limitations of organoid culture systems for predicting patient outcomes and preclinical drug screening. Finally, we will discuss immunotherapy drug screening in tumor organoids by using microfluidic technology.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Gene–drug associations; Immunotherapy; Organoid; Personalized medicine; Tumor microenvironment

Mesh:

Year:  2021        PMID: 34600901     DOI: 10.1016/j.yexcr.2021.112858

Source DB:  PubMed          Journal:  Exp Cell Res        ISSN: 0014-4827            Impact factor:   3.905


  1 in total

Review 1.  Use of Real-World Evidence to Drive Drug Development Strategy and Inform Clinical Trial Design.

Authors:  Simon Dagenais; Leo Russo; Ann Madsen; Jen Webster; Lauren Becnel
Journal:  Clin Pharmacol Ther       Date:  2021-11-28       Impact factor: 6.903

  1 in total

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