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A GFP-labeled Human Colon Cancer Metastasis Model Featuring Surgical Orthotopic Implantation
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  • A GFP-labeled Human Colon Cancer Metastasis Model Featuring Surgical Orthotopic Implantation
  • A GFP-labeled Human Colon Cancer Metastasis Model Featuring Surgical Orthotopic Implantation
저자명
Chen. Hong-Jin,Yang. Bo-Lin,Chen. Yu-Gen,Lin. Qiu,Zhang. Shu-Peng,Gu. Yun-Fei
간행물명
Asian Pacific journal of cancer prevention : APJCP
권/호정보
2012년|13권 9호|pp.4263-4266 (4 pages)
발행정보
아시아태평양암예방학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Colorectal cancer has become a major disease threatening human health. To establish animal models that exhibit the characteristics of human colorectal cancer will not only help to study the mechanisms underlying the genesis and development effectively, but also provide ideal carriers for the screening of medicines and examining their therapeutic effects. In this study, we established a stable, colon cancer nude mouse model highly expressing green fluorescent protein (GFP) for spontaneous metastasis after surgical orthotopic implantation (SOI). GFP-labeled colon cancer models for metastasis after SOI were successfully established in all of 15 nude mice and there were no surgery-related complications or deaths. In week 3, primary tumors expressing GFP were observed in all model animals under fluoroscopy and two metastatic tumors were monitored by fluorescent imaging at the same time. The tumor volumes progressively increased with time. Seven out of 15 tumor transplanted mice died and the major causes of death were intestinal obstruction and cachexia resulting from malignant tumor growth. Eight model animals survived at the end of the experiment, 6 of which had metastases (6 cases to mesenteric lymph nodes, 4 hepatic, 2 pancreatic and 1 mediastinal lymph node). Our results indicate that our GFP-labeled colon cancer orthotopic transplantation model is useful with a high success rate; the transplanted tumors exhibit similar biological properties to human colorectal cancer, and can be used for real-time, in vivo, non-invasive and dynamic observation and analysis of the growth and metastasis of tumor cells.