PURPOSE: The most common preclinical models of pancreatic adenocarcinoma utilize human cells or tissues that are xenografted into immunodeficient hosts. Several immunocompetent, genetically engineered mouse models of pancreatic cancer exist; however, tumor latency and disease progression in these models are highly variable. We sought to develop an immunocompetent, orthotopic mouse model of pancreatic cancer with rapid and predictable growth kinetics. EXPERIMENTAL DESIGN: Cell lines with epithelial morphology were derived from liver metastases obtained from Kras(G12D/+);LSL-Trp53(R172H/+);Pdx-1-Cre mice. Tumor cells were implanted in the pancreas of immunocompetent, histocompatible B6/129 mice, and the mice were monitored for disease progression. Relevant tissues were harvested for histologic, genomic, and immunophenotypic analysis. RESULTS: All mice developed pancreatic tumors by two weeks. Invasive disease and liver metastases were noted by six to eight weeks. Histologic examination of tumors showed cytokeratin-19-positive adenocarcinoma with regions of desmoplasia. Genomic analysis revealed broad chromosomal changes along with focal gains and losses. Pancreatic tumors were infiltrated with dendritic cells, myeloid-derived suppressor cells, macrophages, and T lymphocytes. Survival was decreased in RAG(-/-) mice, which are deficient in T cells, suggesting that an adaptive immune response alters the course of disease in wild-type mice. CONCLUSIONS: We have developed a rapid, predictable orthotopic model of pancreatic adenocarcinoma in immunocompetent mice that mimics human pancreatic cancer with regard to genetic mutations, histologic appearance, and pattern of disease progression. This model highlights both the complexity and relevance of the immune response to invasive pancreatic cancer and may be useful for the preclinical evaluation of new therapeutic agents. Copyright 2010 AACR.
PURPOSE: The most common preclinical models of pancreatic adenocarcinoma utilize human cells or tissues that are xenografted into immunodeficient hosts. Several immunocompetent, genetically engineered mouse models of pancreatic cancer exist; however, tumor latency and disease progression in these models are highly variable. We sought to develop an immunocompetent, orthotopic mouse model of pancreatic cancer with rapid and predictable growth kinetics. EXPERIMENTAL DESIGN: Cell lines with epithelial morphology were derived from liver metastases obtained from Kras(G12D/+);LSL-Trp53(R172H/+);Pdx-1-Cre mice. Tumor cells were implanted in the pancreas of immunocompetent, histocompatible B6/129 mice, and the mice were monitored for disease progression. Relevant tissues were harvested for histologic, genomic, and immunophenotypic analysis. RESULTS: All mice developed pancreatic tumors by two weeks. Invasive disease and liver metastases were noted by six to eight weeks. Histologic examination of tumors showed cytokeratin-19-positive adenocarcinoma with regions of desmoplasia. Genomic analysis revealed broad chromosomal changes along with focal gains and losses. Pancreatic tumors were infiltrated with dendritic cells, myeloid-derived suppressor cells, macrophages, and T lymphocytes. Survival was decreased in RAG(-/-) mice, which are deficient in T cells, suggesting that an adaptive immune response alters the course of disease in wild-type mice. CONCLUSIONS: We have developed a rapid, predictable orthotopic model of pancreatic adenocarcinoma in immunocompetent mice that mimics humanpancreatic cancer with regard to genetic mutations, histologic appearance, and pattern of disease progression. This model highlights both the complexity and relevance of the immune response to invasive pancreatic cancer and may be useful for the preclinical evaluation of new therapeutic agents. Copyright 2010 AACR.
Authors: Davide Melisi; Satoshi Ishiyama; Guido M Sclabas; Jason B Fleming; Qianghua Xia; Giampaolo Tortora; James L Abbruzzese; Paul J Chiao Journal: Mol Cancer Ther Date: 2008-04 Impact factor: 6.261
Authors: Carolyn E Clark; Sunil R Hingorani; Rosemarie Mick; Chelsea Combs; David A Tuveson; Robert H Vonderheide Journal: Cancer Res Date: 2007-10-01 Impact factor: 12.701
Authors: Justin A Kenkel; William W Tseng; Matthew G Davidson; Lorna L Tolentino; Okmi Choi; Nupur Bhattacharya; E Scott Seeley; Daniel A Winer; Nathan E Reticker-Flynn; Edgar G Engleman Journal: Cancer Res Date: 2017-06-13 Impact factor: 12.701
Authors: Sara Rapic; Christel Vangestel; Jeroen Verhaeghe; Tim Van den Wyngaert; Rukun Hinz; Marleen Verhoye; Patrick Pauwels; Steven Staelens; Sigrid Stroobants Journal: Mol Imaging Biol Date: 2017-10 Impact factor: 3.488
Authors: Yaron Carmi; Tyler R Prestwood; Matthew H Spitzer; Ian L Linde; Jonathan Chabon; Nathan E Reticker-Flynn; Nupur Bhattacharya; Hong Zhang; Xiangyue Zhang; Pamela A Basto; Bryan M Burt; Michael N Alonso; Edgar G Engleman Journal: JCI Insight Date: 2016-11-03
Authors: Mihalis S Kariolis; Yu Rebecca Miao; Anh Diep; Shannon E Nash; Monica M Olcina; Dadi Jiang; Douglas S Jones; Shiven Kapur; Irimpan I Mathews; Albert C Koong; Erinn B Rankin; Jennifer R Cochran; Amato J Giaccia Journal: J Clin Invest Date: 2016-11-28 Impact factor: 14.808
Authors: Joseph S Dosch; Elizabeth K Ziemke; Amrith Shettigar; Alnawaz Rehemtulla; Judith S Sebolt-Leopold Journal: Cancer Res Date: 2015-09-10 Impact factor: 12.701
Authors: Tong Li; Yak-Nam Wang; Tatiana D Khokhlova; Samantha D'Andrea; Frank Starr; Hong Chen; Jeannine S McCune; Linda J Risler; Afshin Mashadi-Hossein; Sunil R Hingorani; Amy Chang; Joo Ha Hwang Journal: Cancer Res Date: 2015-07-27 Impact factor: 12.701