Suppr超能文献

Laryngeal transplantation in the setting of cancer: a rat model.

作者信息

Shipchandler Taha Z, Lorenz Robert R, Lee Walter T, Teker Aysenur Meric, Dan Olivia, Strome Marshall

机构信息

Head and Neck Institute, Cleveland Clinic, Cleveland, OH 44195, USA.

出版信息

Laryngoscope. 2008 Dec;118(12):2166-71. doi: 10.1097/MLG.0b013e3181855108.

Abstract

OBJECTIVE

Traditional immunosuppressive regimens make laryngeal transplantation in cancer patients prohibitive because of the increased risk of recurrence. Everolimus, a recently developed immunosuppressant, has demonstrated significant antitumor properties. The purpose of this study was to examine the effects of everolimus alone and in combination with other immunosuppressants on tumor growth in a combined laryngeal transplantation and tumor model.

STUDY DESIGN

Animal, prospective, randomized, controlled, and blinded.

METHODS

One million squamous cell carcinoma cells (SCC-158) were injected intravenously into a total of 40 rats 1 day before laryngeal transplantation. Rats were divided into four groups differing by immunosuppressive regimens. Lung surface metastases were counted 21 days after inoculation, and numerical transplantation rejection scores were recorded. A separate experiment for comparison was performed with no transplant on 24 rats, but with the same immunosuppressive treatment groups.

RESULTS

The median number of lung surface metastases were: a) control (i.e., no immunosuppression): 85; b) everolimus 1.0 mg/kg: 25; c) tacrolimus 1.2 mg/kg: 1650; d) everolimus 1.0 mg/kg + tacrolimus 0.05 mg/kg: 1300. Rats receiving everolimus alone showed a statistically significant decrease in pulmonary surface metastases compared with the other groups. Transplanted rats had no difference in their outcomes when compared with non-transplanted rats.

CONCLUSION

Everolimus significantly decreases SCC-158 growth in our combined transplantation and tumor model compared with controls and other immunosuppressants.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验