Growth inhibition of human pancreatic cancer cells by human interferon-beta gene combined with gemcitabine

Autor: Masato, Endou, Masaaki, Mizuno, Takuya, Nagata, Kazuhiro, Tsukada, Norimoto, Nakahara, Takaya, Tsuno, Hirokatsu, Osawa, Tomohiko, Kuno, Mitsugu, Fujita, Manabu, Hatano, Jun, Yoshida
Rok vydání: 2005
Předmět:
Zdroj: International journal of molecular medicine. 15(2)
ISSN: 1107-3756
Popis: We examined the anti-tumor effect of cationic multilamellar liposome containing human IFN-beta (huIFN-beta) gene against cultured human pancreatic cancer cells. We also evaluated the combined effect of huIFN-beta gene entrapped in liposomes and gemcitabine. Furthermore, we examined the anti-tumor mechanisms of the therapy, with emphasis on the Ras-related signal pathway. Three human pancreatic cancer cell lines (AsPc-1, MIAPaCa-2, and PANC-1) were used in this study. The growth inhibition together with the therapy were evaluated by WST-1 assay; the production of huIFN-beta protein was measured by ELISA; the cell cycle and apoptosis were analyzed using a FACScan flow cytometer; the protein levels of Son of sevenless (SOS-1) and Ras-GAP were measured by Western blotting; and the activation of Ras-GTP was evaluated by the immunoprecipitation method. As a result, we found that huIFN-beta gene entrapped in liposomes demonstrated a strong anti-tumor effect against human pancreatic cancer cells. The treatment that combined huIFN-beta gene entrapped in liposomes and gemcitabine was more effective than each treatment alone. Although gemcitabine remarkably reduced the level of SOS-1, the above combined therapy reduced the level of SOS-1 even more significantly. Both huIFN-beta gene entrapped in liposomes and the com-bination of huIFN-beta gene entrapped in liposomes and gemcitabine increased the level of Ras-GAP, and decreased the activity of Ras-GTP. These results suggest that this combination therapy can induce strong anti-tumor activity against human pancreatic cancer cells through the regulation of the Ras-related signal pathway.
Databáze: OpenAIRE