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The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries
Surgical treatment is the only possible cure for cholangiocarcinoma (CCA) at present. However, the high recurrence rate of postoperative CCA leads to a very poor prognosis for patients, effective postoperative chemotherapy is hence the key to preventing the recurrence of CCA. The sensitivity of CCA...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339899/ https://www.ncbi.nlm.nih.gov/pubmed/34367944 http://dx.doi.org/10.3389/fonc.2021.628636 |
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author | Wu, Jun Sheng, Jiyao Qin, Hanjiao Cui, Mengying Yang, Yongsheng Zhang, Xuewen |
author_facet | Wu, Jun Sheng, Jiyao Qin, Hanjiao Cui, Mengying Yang, Yongsheng Zhang, Xuewen |
author_sort | Wu, Jun |
collection | PubMed |
description | Surgical treatment is the only possible cure for cholangiocarcinoma (CCA) at present. However, the high recurrence rate of postoperative CCA leads to a very poor prognosis for patients, effective postoperative chemotherapy is hence the key to preventing the recurrence of CCA. The sensitivity of CCA to cytotoxic chemotherapy drugs and targeted drugs varies from person to person, and therefore, the screening of sensitive drugs has become an important topic after CCA surgeries. Patient-Derived tumor Xenograft models (PDX) can stably retain the genetic and pathological characteristics of primary tumors, and better simulate the tumor microenvironment of CCA. The model is also of great significance in screening therapeutic targeted drugs after CCA, analyzing predictive biomarkers, and improving signal pathways in prognosis and basic research. This paper will review the current established methods and applications of the patient-derived tumor xenograft model of cholangiocarcinoma, aiming to provide new ideas for basic research and individualized treatment of cholangiocarcinoma after surgery. |
format | Online Article Text |
id | pubmed-8339899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83398992021-08-06 The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries Wu, Jun Sheng, Jiyao Qin, Hanjiao Cui, Mengying Yang, Yongsheng Zhang, Xuewen Front Oncol Oncology Surgical treatment is the only possible cure for cholangiocarcinoma (CCA) at present. However, the high recurrence rate of postoperative CCA leads to a very poor prognosis for patients, effective postoperative chemotherapy is hence the key to preventing the recurrence of CCA. The sensitivity of CCA to cytotoxic chemotherapy drugs and targeted drugs varies from person to person, and therefore, the screening of sensitive drugs has become an important topic after CCA surgeries. Patient-Derived tumor Xenograft models (PDX) can stably retain the genetic and pathological characteristics of primary tumors, and better simulate the tumor microenvironment of CCA. The model is also of great significance in screening therapeutic targeted drugs after CCA, analyzing predictive biomarkers, and improving signal pathways in prognosis and basic research. This paper will review the current established methods and applications of the patient-derived tumor xenograft model of cholangiocarcinoma, aiming to provide new ideas for basic research and individualized treatment of cholangiocarcinoma after surgery. Frontiers Media S.A. 2021-07-22 /pmc/articles/PMC8339899/ /pubmed/34367944 http://dx.doi.org/10.3389/fonc.2021.628636 Text en Copyright © 2021 Wu, Sheng, Qin, Cui, Yang and Zhang 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 | Oncology Wu, Jun Sheng, Jiyao Qin, Hanjiao Cui, Mengying Yang, Yongsheng Zhang, Xuewen The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries |
title | The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries |
title_full | The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries |
title_fullStr | The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries |
title_full_unstemmed | The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries |
title_short | The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries |
title_sort | application progress of patient-derived tumor xenograft models after cholangiocarcinoma surgeries |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339899/ https://www.ncbi.nlm.nih.gov/pubmed/34367944 http://dx.doi.org/10.3389/fonc.2021.628636 |
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