Frontiers in Immunology (May 2023)

Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction

  • Kaiwen Chen,
  • Kaiwen Chen,
  • Kaiwen Chen,
  • Yanran Li,
  • Yanran Li,
  • Yanran Li,
  • Bingran Wang,
  • Bingran Wang,
  • Bingran Wang,
  • Xuehan Yan,
  • Yiying Tao,
  • Weizhou Song,
  • Zhifeng Xi,
  • Zhifeng Xi,
  • Zhifeng Xi,
  • Kang He,
  • Kang He,
  • Kang He,
  • Qiang Xia,
  • Qiang Xia,
  • Qiang Xia

DOI
https://doi.org/10.3389/fimmu.2023.1101324
Journal volume & issue
Vol. 14

Abstract

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Liver cancer is an aggressive tumor originating in the liver with a dismal prognosis. Current evidence suggests that liver cancer is the fifth most prevalent cancer worldwide and the second most deadly type of malignancy. Tumor heterogeneity accounts for the differences in drug responses among patients, emphasizing the importance of precision medicine. Patient-derived models of cancer are widely used preclinical models to study precision medicine since they preserve tumor heterogeneity ex vivo in the study of many cancers. Patient-derived models preserving cell-cell and cell-matrix interactions better recapitulate in vivo conditions, including patient-derived xenografts (PDXs), induced pluripotent stem cells (iPSCs), precision-cut liver slices (PCLSs), patient-derived organoids (PDOs), and patient-derived tumor spheroids (PDTSs). In this review, we provide a comprehensive overview of the different modalities used to establish preclinical models for precision medicine in liver cancer.

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