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Huo KG, D'Arcangelo E, Tsao MS. Patient-derived cell line, xenograft and organoid models in lung cancer therapy. Transl Lung Cancer Res. 2020;9(5):2214-2232doi: 10.21037/tlcr-20-154.
Huo, K. G., D'Arcangelo, E., & Tsao, M. S. (2020). Patient-derived cell line, xenograft and organoid models in lung cancer therapy. Translational lung cancer research, 9(5), 2214-2232. https://doi.org/10.21037/tlcr-20-154
Huo, Ku-Geng, et al. "Patient-derived cell line, xenograft and organoid models in lung cancer therapy." Translational lung cancer research vol. 9,5 (2020): 2214-2232. doi: https://doi.org/10.21037/tlcr-20-154
Huo KG, D'Arcangelo E, Tsao MS. Patient-derived cell line, xenograft and organoid models in lung cancer therapy. Transl Lung Cancer Res. 2020 Oct;9(5):2214-2232. doi: 10.21037/tlcr-20-154. PMID: 33209645; PMCID: PMC7653147.
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Transl Lung Cancer Res. 2020 Oct;9(5):2214-2232. doi: 10.21037/tlcr-20-154.

Patient-derived cell line, xenograft and organoid models in lung cancer therapy.

Translational lung cancer research

Ku-Geng Huo, Elisa D'Arcangelo, Ming-Sound Tsao

Affiliations

  1. University Health Network and Princess Margaret Cancer Centre, Toronto, Canada.

PMID: 33209645 PMCID: PMC7653147 DOI: 10.21037/tlcr-20-154

Abstract

Lung cancer accounts for most cancer-related deaths worldwide and has an overall 5-year survival rate of ~15%. Cell lines have played important roles in the study of cancer biology and potential therapeutic targets, as well as pre-clinical testing of novel drugs. However, most experimental therapies that have cleared preclinical testing using established cell lines have failed phase III clinical trials. This suggests that such models may not adequately recapitulate patient tumor biology and clinical outcome predictions. Here, we discuss and compare different pre-clinical lung cancer models, including established cell lines, patient-derived cell lines, xenografts and organoids, summarize the methodology for generating these models, and review their relative advantages and limitations in different oncologic research applications. We further discuss additional gaps in patient-derived pre-clinical models to better recapitulate tumor biology and improve their clinical predictive power.

2020 Translational Lung Cancer Research. All rights reserved.

Keywords: 3D culture; Lung cancer; cell line; organoid; patient-derived models; preclinical models; xenograft

Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tlcr-20-154). The series “New Developments in Lung Cancer Diagnosis and Pat

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