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Generation and application of patient-derived xenograft models in pancreatic cancer research
OBJECTIVE: Pancreatic ductal adenocarcinoma cancer (PDAC) is one of the leading causes of cancer-related death worldwide. Hence, the development of effective anti-PDAC therapies is urgently required. Patient-derived xenograft (PDX) models are useful models for developing anti-cancer therapies and sc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940092/ https://www.ncbi.nlm.nih.gov/pubmed/31725451 http://dx.doi.org/10.1097/CM9.0000000000000524 |
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author | Wang, Cheng-Fang Shi, Xian-Jie |
author_facet | Wang, Cheng-Fang Shi, Xian-Jie |
author_sort | Wang, Cheng-Fang |
collection | PubMed |
description | OBJECTIVE: Pancreatic ductal adenocarcinoma cancer (PDAC) is one of the leading causes of cancer-related death worldwide. Hence, the development of effective anti-PDAC therapies is urgently required. Patient-derived xenograft (PDX) models are useful models for developing anti-cancer therapies and screening drugs for precision medicine. This review aimed to provide an updated summary of using PDX models in PDAC. DATA SOURCES: The author retrieved information from the PubMed database up to June 2019 using various combinations of search terms, including PDAC, pancreatic carcinoma, pancreatic cancer, patient-derived xenografts or PDX, and patient-derived tumor xenografts or PDTX. STUDY SELECTION: Original articles and review articles relevant to the review's theme were selected. RESULTS: PDX models are better than cell line-derived xenograft and other models. PDX models consistently demonstrate retained tumor morphology and genetic stability, are beneficial in cancer research, could enhance drug discovery and oncologic mechanism development of PDAC, allow an improved understanding of human cancer cell biology, and help guide personalized treatment. CONCLUSIONS: In this review, we outline the status and application of PDX models in both basic and pre-clinical pancreatic cancer researches. PDX model is one of the most appropriate pre-clinical tools that can improve the prognosis of patients with pancreatic cancer in the future. |
format | Online Article Text |
id | pubmed-6940092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-69400922020-02-04 Generation and application of patient-derived xenograft models in pancreatic cancer research Wang, Cheng-Fang Shi, Xian-Jie Chin Med J (Engl) Review Articles OBJECTIVE: Pancreatic ductal adenocarcinoma cancer (PDAC) is one of the leading causes of cancer-related death worldwide. Hence, the development of effective anti-PDAC therapies is urgently required. Patient-derived xenograft (PDX) models are useful models for developing anti-cancer therapies and screening drugs for precision medicine. This review aimed to provide an updated summary of using PDX models in PDAC. DATA SOURCES: The author retrieved information from the PubMed database up to June 2019 using various combinations of search terms, including PDAC, pancreatic carcinoma, pancreatic cancer, patient-derived xenografts or PDX, and patient-derived tumor xenografts or PDTX. STUDY SELECTION: Original articles and review articles relevant to the review's theme were selected. RESULTS: PDX models are better than cell line-derived xenograft and other models. PDX models consistently demonstrate retained tumor morphology and genetic stability, are beneficial in cancer research, could enhance drug discovery and oncologic mechanism development of PDAC, allow an improved understanding of human cancer cell biology, and help guide personalized treatment. CONCLUSIONS: In this review, we outline the status and application of PDX models in both basic and pre-clinical pancreatic cancer researches. PDX model is one of the most appropriate pre-clinical tools that can improve the prognosis of patients with pancreatic cancer in the future. Wolters Kluwer Health 2019-11-20 2019-11-20 /pmc/articles/PMC6940092/ /pubmed/31725451 http://dx.doi.org/10.1097/CM9.0000000000000524 Text en Copyright © 2019 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Review Articles Wang, Cheng-Fang Shi, Xian-Jie Generation and application of patient-derived xenograft models in pancreatic cancer research |
title | Generation and application of patient-derived xenograft models in pancreatic cancer research |
title_full | Generation and application of patient-derived xenograft models in pancreatic cancer research |
title_fullStr | Generation and application of patient-derived xenograft models in pancreatic cancer research |
title_full_unstemmed | Generation and application of patient-derived xenograft models in pancreatic cancer research |
title_short | Generation and application of patient-derived xenograft models in pancreatic cancer research |
title_sort | generation and application of patient-derived xenograft models in pancreatic cancer research |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940092/ https://www.ncbi.nlm.nih.gov/pubmed/31725451 http://dx.doi.org/10.1097/CM9.0000000000000524 |
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