کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10227999 | 470 | 2013 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Anti-CD30 antibody conjugated liposomal doxorubicin with significantly improved therapeutic efficacy against anaplastic large cell lymphoma
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The use of nano-carriers has been shown to improve the delivery and efficacy of chemotherapeutic agents in cancer patients. Recent studies suggest that decoration of the surface of nano-carriers with various targeting moieties may further improve the overall therapeutic efficacy. In this study, we compared the therapeutic efficacy of Doxil® (commercial doxorubicin-loaded liposomes) and that of Doxil® conjugated with anti-CD30 antibodies (CD30-targeted Doxil®) in treating anaplastic large cell lymphoma (ALCL), a type of T-cell lymphoma characterized by a high CD30 expression. Compared to Doxil®, the CD30-targeted Doxil® showed a significantly higher binding affinity to ALCL cells (5.3% versus 27%, p = 0.005) and a lower inhibitory concentration at 50% (IC50) in-vitro (32.6 μg/mL versus 12.6 μg/mL, p = 0.006). In a SCID mouse xenograft model, CD30-targeted Doxil® inhibited tumor growth more significantly than the unconjugated formulation; specifically, tumors in mice treated with CD30-targeted Doxil® were significantly smaller than those in mice treated with Doxil® (average, 117 mm3 versus 270 mm3, p = 0.001) at 18 days after the tumors were inoculated. Our findings have provided the proof-of-principle of using CD30-targeted nano-carriers to treat cancers that are characterized by a high level of CD30 expression, such as ALCL.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomaterials - Volume 34, Issue 34, November 2013, Pages 8718-8725
Journal: Biomaterials - Volume 34, Issue 34, November 2013, Pages 8718-8725
نویسندگان
Ommoleila Molavi, Xiao-Bing Xiong, Donna Douglas, Norm Kneteman, Satoshi Nagata, Ira Pastan, Quincy Chu, Afsaneh Lavasanifar, Raymond Lai,