کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10229048 | 503 | 2013 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The inhibition of metastasis and growth of breast cancer by blocking the NF-κB signaling pathway using bioreducible PEI-based/p65 shRNA complex nanoparticles
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: The inhibition of metastasis and growth of breast cancer by blocking the NF-κB signaling pathway using bioreducible PEI-based/p65 shRNA complex nanoparticles The inhibition of metastasis and growth of breast cancer by blocking the NF-κB signaling pathway using bioreducible PEI-based/p65 shRNA complex nanoparticles](/preview/png/10229048.png)
چکیده انگلیسی
Metastasis is one of the greatest challenges in cancer treatment. In this study, a bioreducible polymer, Tween 85-s-s-polyethyleneimine 2K (TSP), was synthesized and used as a non-viral gene vector for p65 shRNA to block NF-κB signaling pathway, thereby inhibiting the growth and metastasis of breast cancer. The TSP/p65 shRNA complex nanoparticles (TSNs) could significantly down-regulate p65 expression in breast cancer cells due to the rapid degradation of TSP with prompt shRNA release, and consequently not only inhibit cell proliferation and invasion, but also induce cell apoptosis and disrupt the tube formation. Most importantly, TSNs showed high accumulation in tumor and almost completely inhibited the growth and metastasis of the breast cancer xenograft in nude mice induced by MDA-MB-435 cells. All these results indicated the promising of TSP as a non-viral gene vector to knock down p65 expression and inhibit the growth and metastasis of breast cancer.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomaterials - Volume 34, Issue 21, July 2013, Pages 5381-5390
Journal: Biomaterials - Volume 34, Issue 21, July 2013, Pages 5381-5390
نویسندگان
Jisheng Xiao, Xiaopin Duan, Qi Yin, Zehong Miao, Haijun Yu, Chunying Chen, Zhiwen Zhang, Jun Wang, Yaping Li,