Cargando…
Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction
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 patie...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192760/ https://www.ncbi.nlm.nih.gov/pubmed/37215109 http://dx.doi.org/10.3389/fimmu.2023.1101324 |
_version_ | 1785043695351889920 |
---|---|
author | Chen, Kaiwen Li, Yanran Wang, Bingran Yan, Xuehan Tao, Yiying Song, Weizhou Xi, Zhifeng He, Kang Xia, Qiang |
author_facet | Chen, Kaiwen Li, Yanran Wang, Bingran Yan, Xuehan Tao, Yiying Song, Weizhou Xi, Zhifeng He, Kang Xia, Qiang |
author_sort | Chen, Kaiwen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10192760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101927602023-05-19 Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction Chen, Kaiwen Li, Yanran Wang, Bingran Yan, Xuehan Tao, Yiying Song, Weizhou Xi, Zhifeng He, Kang Xia, Qiang Front Immunol Immunology 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. Frontiers Media S.A. 2023-05-04 /pmc/articles/PMC10192760/ /pubmed/37215109 http://dx.doi.org/10.3389/fimmu.2023.1101324 Text en Copyright © 2023 Chen, Li, Wang, Yan, Tao, Song, Xi, He and Xia https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Chen, Kaiwen Li, Yanran Wang, Bingran Yan, Xuehan Tao, Yiying Song, Weizhou Xi, Zhifeng He, Kang Xia, Qiang Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction |
title | Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction |
title_full | Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction |
title_fullStr | Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction |
title_full_unstemmed | Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction |
title_short | Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction |
title_sort | patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192760/ https://www.ncbi.nlm.nih.gov/pubmed/37215109 http://dx.doi.org/10.3389/fimmu.2023.1101324 |
work_keys_str_mv | AT chenkaiwen patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT liyanran patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT wangbingran patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT yanxuehan patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT taoyiying patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT songweizhou patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT xizhifeng patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT hekang patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction AT xiaqiang patientderivedmodelsfacilitateprecisionmedicineinlivercancerbyremodelingcellmatrixinteraction |