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一种针对紧密连接蛋白-3的人单链抗体片段的开发与特性鉴定:卵巢癌和子宫癌中的新型治疗靶点

Development and characterization of a human single-chain antibody fragment against claudin-3: a novel therapeutic target in ovarian and uterine carcinomas.

作者信息

Romani Chiara, Comper Fabrizio, Bandiera Elisabetta, Ravaggi Antonella, Bignotti Eliana, Tassi Renata A, Pecorelli Sergio, Santin Alessandro D

机构信息

Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Brescia, Brescia, Italy.

出版信息

Am J Obstet Gynecol. 2009 Jul;201(1):70.e1-9. doi: 10.1016/j.ajog.2009.02.010. Epub 2009 May 8.

Abstract

OBJECTIVE

The purpose of this study was to develop and characterize a human antibody in a single-chain antibody fragment format (scFv) that is directed specifically against claudin-3 (CLDN3).

STUDY DESIGN

The synthetic ETH-2 Gold human antibody phage display library was used to select scFv specific against CLDN3. scFv binding properties were analyzed by surface plasmon resonance; specificity was confirmed with enzyme-linked immunosorbent assay, immunofluorescence, and flow cytometry on a panel of ovarian and uterine serous carcinoma cell lines.

RESULTS

Surface plasmon resonance studies indicated scFv H6 to be the clone with the highest affinity against CLDN3 (K(D) of 23.60 nmol/L). scFv H6 efficiently stained CLDN3-expressing cells and recognized its epitope in enzyme-linked immunosorbent assay that was performed with uterine serous papillary carcinoma native protein extract, which suggested that a conformational epitope is recognized by this antibody. Cell surface immunofluorescence with laser scanning confocal microscopy confirmed the specific binding to the native membrane CLDN3.

CONCLUSION

scFv H6 may represent a novel antitumor agent against chemotherapy-resistant ovarian and serous papillary carcinomas and other human malignancies that overexpress CLDN3.

摘要

目的

本研究旨在开发并鉴定一种单链抗体片段形式(scFv)的人源抗体,该抗体特异性靶向紧密连接蛋白3(CLDN3)。

研究设计

使用合成的ETH-2 Gold人源抗体噬菌体展示文库筛选针对CLDN3的scFv。通过表面等离子体共振分析scFv的结合特性;通过酶联免疫吸附测定、免疫荧光和流式细胞术在一组卵巢和子宫浆液性癌细胞系上确认特异性。

结果

表面等离子体共振研究表明scFv H6是对CLDN3亲和力最高的克隆(解离常数K(D)为23.60 nmol/L)。scFv H6能有效染色表达CLDN3的细胞,并在使用子宫浆液性乳头状癌天然蛋白提取物进行的酶联免疫吸附测定中识别其表位,这表明该抗体识别的是构象表位。激光扫描共聚焦显微镜进行的细胞表面免疫荧光证实了与天然膜CLDN3的特异性结合。

结论

scFv H6可能代表一种新型抗肿瘤药物,用于治疗对化疗耐药的卵巢癌和浆液性乳头状癌以及其他过表达CLDN3的人类恶性肿瘤。

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本文引用的文献

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The claudin gene family: expression in normal and neoplastic tissues.
BMC Cancer. 2006 Jul 12;6:186. doi: 10.1186/1471-2407-6-186.
4
Claudin proteins in human cancer: promising new targets for diagnosis and therapy.
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5
Selecting and screening recombinant antibody libraries.
Nat Biotechnol. 2005 Sep;23(9):1105-16. doi: 10.1038/nbt1126.
8
Role of claudins in tumorigenesis.
Adv Drug Deliv Rev. 2005 Apr 25;57(6):919-28. doi: 10.1016/j.addr.2005.01.006.

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