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Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo
Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant cancers and has an extremely undesirable prognosis because little is known about the initiation and progression mechanisms of pancreatic cancer. The lack of an appropriate research model may have hindered this process. Using LSL-Kr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462783/ https://www.ncbi.nlm.nih.gov/pubmed/31011408 http://dx.doi.org/10.1016/j.csbj.2019.03.016 |
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author | Li, Jie Qian, Weikun Qin, Tao Xiao, Ying Cheng, Liang Cao, Junyu Chen, Xin Ma, Qingyong Wu, Zheng |
author_facet | Li, Jie Qian, Weikun Qin, Tao Xiao, Ying Cheng, Liang Cao, Junyu Chen, Xin Ma, Qingyong Wu, Zheng |
author_sort | Li, Jie |
collection | PubMed |
description | Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant cancers and has an extremely undesirable prognosis because little is known about the initiation and progression mechanisms of pancreatic cancer. The lack of an appropriate research model may have hindered this process. Using LSL-Kras(G12D/+); Trp53(fl/+); Pdx1-Cre (KPC) mice and the tumor tissue fragment transplantation technique, we constructed the mouse-derived subcutaneous/orthotopic allograft tumor models (MDAs-ST/OT). H&E staining, Masson staining and immunohistochemical staining were adopted to describe the histopathology and biomarkers of the MDAs and the recruitment of immune cells. The intervention of gemcitabine was applied to measure the chemotherapeutic response of MDAs tumors. MDAs could mimic the pathological histology and the high proliferation characteristics of PDAC. Indeed, the fibrosis, epithelial-mesenchyme transition (EMT) and invasion/metastasis related markers of MDAs were similar to those observed in pancreatic cancer. Further, the recruitment of immune cells in PDAC was precisely simulated by MDAs. In addition, gemcitabine suppressed the tumor growth of MDAs-ST significantly. MDAs are an effective model for investigating the progression and treatment of pancreatic cancer. |
format | Online Article Text |
id | pubmed-6462783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-64627832019-04-22 Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo Li, Jie Qian, Weikun Qin, Tao Xiao, Ying Cheng, Liang Cao, Junyu Chen, Xin Ma, Qingyong Wu, Zheng Comput Struct Biotechnol J Research Article Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant cancers and has an extremely undesirable prognosis because little is known about the initiation and progression mechanisms of pancreatic cancer. The lack of an appropriate research model may have hindered this process. Using LSL-Kras(G12D/+); Trp53(fl/+); Pdx1-Cre (KPC) mice and the tumor tissue fragment transplantation technique, we constructed the mouse-derived subcutaneous/orthotopic allograft tumor models (MDAs-ST/OT). H&E staining, Masson staining and immunohistochemical staining were adopted to describe the histopathology and biomarkers of the MDAs and the recruitment of immune cells. The intervention of gemcitabine was applied to measure the chemotherapeutic response of MDAs tumors. MDAs could mimic the pathological histology and the high proliferation characteristics of PDAC. Indeed, the fibrosis, epithelial-mesenchyme transition (EMT) and invasion/metastasis related markers of MDAs were similar to those observed in pancreatic cancer. Further, the recruitment of immune cells in PDAC was precisely simulated by MDAs. In addition, gemcitabine suppressed the tumor growth of MDAs-ST significantly. MDAs are an effective model for investigating the progression and treatment of pancreatic cancer. Research Network of Computational and Structural Biotechnology 2019-04-06 /pmc/articles/PMC6462783/ /pubmed/31011408 http://dx.doi.org/10.1016/j.csbj.2019.03.016 Text en © 2019 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Li, Jie Qian, Weikun Qin, Tao Xiao, Ying Cheng, Liang Cao, Junyu Chen, Xin Ma, Qingyong Wu, Zheng Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo |
title | Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo |
title_full | Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo |
title_fullStr | Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo |
title_full_unstemmed | Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo |
title_short | Mouse-Derived Allografts: A Complementary Model to the KPC Mice on Researching Pancreatic Cancer In Vivo |
title_sort | mouse-derived allografts: a complementary model to the kpc mice on researching pancreatic cancer in vivo |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462783/ https://www.ncbi.nlm.nih.gov/pubmed/31011408 http://dx.doi.org/10.1016/j.csbj.2019.03.016 |
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