Open Access

Xenograft and organoid models in developing precision medicine for gastric cancer (Review)

  • Authors:
    • Jiao Xu
    • Bixin Yu
    • Fan Wang
    • Jin Yang
  • View Affiliations

  • Published online on: February 22, 2024     https://doi.org/10.3892/ijo.2024.5629
  • Article Number: 41
  • Copyright: © Xu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Gastric cancer (GC), a highly heterogeneous disease, has diverse histological and molecular subtypes. For precision medicine, well‑characterized models encompassing the full spectrum of subtypes are necessary. Patient‑derived tumor xenografts and organoids serve as important preclinical models in GC research. The main advantage of these models is the retention of phenotypic and genotypic heterogeneity present in parental tumor tissues. Utilizing diverse sequencing techniques and preclinical models for GC research facilitates accuracy in predicting personalized clinical responses to anti‑cancer treatments. The present review summarizes the latest advances of these two preclinical models in GC treatment and drug response assessment.
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April-2024
Volume 64 Issue 4

Print ISSN: 1019-6439
Online ISSN:1791-2423

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Copy and paste a formatted citation
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Spandidos Publications style
Xu J, Yu B, Wang F and Yang J: Xenograft and organoid models in developing precision medicine for gastric cancer (Review). Int J Oncol 64: 41, 2024.
APA
Xu, J., Yu, B., Wang, F., & Yang, J. (2024). Xenograft and organoid models in developing precision medicine for gastric cancer (Review). International Journal of Oncology, 64, 41. https://doi.org/10.3892/ijo.2024.5629
MLA
Xu, J., Yu, B., Wang, F., Yang, J."Xenograft and organoid models in developing precision medicine for gastric cancer (Review)". International Journal of Oncology 64.4 (2024): 41.
Chicago
Xu, J., Yu, B., Wang, F., Yang, J."Xenograft and organoid models in developing precision medicine for gastric cancer (Review)". International Journal of Oncology 64, no. 4 (2024): 41. https://doi.org/10.3892/ijo.2024.5629