4.3 Article

High Incidence of Lymph-node Metastasis in a Pancreatic-cancer Patient-derived Orthotopic Xenograft (PDOX) NOG-Mouse Model

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ANTICANCER RESEARCH
卷 42, 期 2, 页码 739-743

出版社

INT INST ANTICANCER RESEARCH
DOI: 10.21873/anticanres.15532

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pancreatic cancer; patient-derived orthotopic xenograft (PDOX); NOG mouse; nude mouse red fluorescent protein (RFP); lymph-node metastasis; intravital imaging; personalized therapy; drug discovery

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资金

  1. Robert M. Hoffman Foundation for Cancer Research

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The study evaluated the growth and metastasis of pancreatic cancer in nude-mouse models using red fluorescent protein (RFP) expressing tumor stroma. The results showed faster primary tumor growth and a higher incidence of lymph-node metastasis in NOD mice compared to nude mice.
Background/Aim: Our laboratory pioneered the patient-derived orthotopic xenograft (PDOX) model. An important goal of PDOX-model development is facile visualization of metastasis in live mice. In the present report we evaluated tumor growth and metastasis in pancreatic cancer nude-mouse models using red fluorescent protein (RFP)expressing tumor stroma to visualize the primary tumor and metastasis. Materials and Methods: A patient-derived pancreatic cancer was initially implanted in transgenic RFPexpressing nude mice. Then, tumor fragments, which acquired RFP expressing stroma while growing in RFP-expressing nude mice were orthotopically implanted in nude and NOG mice. The primary pancreatic tumor and metastasis were observed 8 weeks after implantation. Results: Lymph-node metastases expressing red fluorescence were detected only in NOG mice. Significantly faster growth of primary pancreatic tumors and a higher incidence of lymph-node metastasis occurred in NOG mice compared to nude mice. Conclusion: RFP-expressing tumor stroma, which traffics together with cancer cells to lymph nodes, is useful to observe tumor behavior, such as lymph-node metastasis in a PDOX NOG-mouse model which can be used for evaluation of novel anti-metastatic agents, as well as personalized therapy to identify effective drugs.

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