@article {HASEGAWA3435, author = {KOSUKE HASEGAWA and ATSUSHI SUETSUGU and MIKI NAKAMURA and TAKURO MATSUMOTO and HITOMI AOKI and TAKAHIRO KUNISADA and MASAHITO SHIMIZU and SHIGETOYO SAJI and HISATAKA MORIWAKI and ROBERT M. HOFFMAN}, title = {Imaging the Role of Multinucleate Pancreatic Cancer Cells and Cancer-Associated Fibroblasts in Peritoneal Metastasis in Mouse Models}, volume = {37}, number = {7}, pages = {3435--3440}, year = {2017}, publisher = {International Institute of Anticancer Research}, abstract = {Background/Aim: The interaction between pancreatic-cancer cells and stromal cells in the tumor microenvironment (TME) is of particular importance in cancer progression and metastasis. The present report demonstrates the role of cancer-associated fibroblasts (CAFs) and multinucleate pancreatic-cancer cells in peritoneal metastasis. Materials and Methods: An orthotopic mouse model of pancreatic cancer was established with the human pancreatic cancer cell line BxPC3, which stably expresses green fluorescent protein (GFP). Results: BxPC3-GFP cells formed peritoneal metastases by week 18 after orthotopic implantation. Using an Olympus FV1000 confocal microscope, multi-nucleated cancer cells were frequently observed in the peritoneal metastases. The primary pancreatic tumor and peritoneal-metastases were harvested, cultured and then transplanted subcutaneously. Subcutaneous tumors established from peritoneal-metastatic cells were larger than subcutaneous tumors established from primary-tumor cells. Subcutaneous tumors of each type were subsequently cultured in vitro. CAFs were observed growing out from the tumors established from peritoneal-metastatic cells, but not the tumors established from the primary cancer. Conclusion: The results of the present study suggest that multi-nucleated cancer cells and CAFs were related to peritoneal metastasis of pancreatic cancer.}, issn = {0250-7005}, URL = {https://ar.iiarjournals.org/content/37/7/3435}, eprint = {https://ar.iiarjournals.org/content/37/7/3435.full.pdf}, journal = {Anticancer Research} }