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<p>Gastric cancer is a highly heterogeneous disease, with substantial variations observed among patients in clinical manifestation, histological characteristics, and drug sensitivities. Achieving precision medicine necessitates a comprehensive understanding of the molecular mechanisms underlying gastric cancer and the establishment of robust preclinical models. Organoids, cultivated from cancer cells within tumor tissues, utilizing three-dimensional tissue culture techniques, faithfully replicate the features and heterogeneity of in vivo tumors and have emerged as a promising platform. This review explores the&#xa0;application of gastric cancer-derived organoids (GCOs) in preclinical research and clinical translation, highlighting current challenges and outlining future&#xa0;prospects. Although this technology remains some distance from direct clinical application, it holds tremendous potential for clinical utilization.</p>

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Gastric Cancer Treatment New Chapter: Organoid Models Leading Personalized Medicine

  • 期刊论文

  • 发表日期：

    2025年9月4日

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  • Yuan Meng,
  • LiLi Zhang,
  • Jie Yang,
  • Xuerui Wang,
  • Meiying Zhu,
  • Fanming Kong

摘要

Gastric cancer is a highly heterogeneous disease, with substantial variations observed among patients in clinical manifestation, histological characteristics, and drug sensitivities. Achieving precision medicine necessitates a comprehensive understanding of the molecular mechanisms underlying gastric cancer and the establishment of robust preclinical models. Organoids, cultivated from cancer cells within tumor tissues, utilizing three-dimensional tissue culture techniques, faithfully replicate the features and heterogeneity of in vivo tumors and have emerged as a promising platform. This review explores the application of gastric cancer-derived organoids (GCOs) in preclinical research and clinical translation, highlighting current challenges and outlining future prospects. Although this technology remains some distance from direct clinical application, it holds tremendous potential for clinical utilization.