Pretargeted radioimmunotherapy using genetically engineered antibody-streptavidin fusion proteins for treatment of non-Hodgkin lymphoma

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Abstract

Purpose: Pretargeted radioimmunotherapy (PRIT) using streptavidin (SAv)-biotin technology can deliver higher therapeutic doses of radioactivity to tumors than conventional RIT. However, "endogenous" biotin can interfere with the effectiveness of this approach by blocking binding of radiolabeled biotin to SAv. We engineered a series of SAv FPs that downmodulate the affinity of SAv for biotin, while retaining high avidity for divalent DOTA-bis-biotin to circumvent this problem. Experimental Design: The single-chain variable region gene of the murine 1F5 anti-CD20 antibody was fused to the wild-type (WT) SAv gene and to mutant SAv genes, Y43A-SAv and S45A-SAv. FPs were expressed, purified, and compared in studies using athymic mice bearing Ramos lymphoma xenografts. Results: Biodistribution studies showed delivery of more radioactivity to tumors of mice pretargeted with mutant SAv FPs followed by 111In-DOTA-bis-biotin [6.2 ± 1.7% of the injected dose per gram (%ID/gm) of tumor 24 hours after Y43A-SAv FP and 5.6 ± 2.2%ID/g with S45A-SAv FP] than in mice on normal diets pretargeted with WT-SAv FP (2.5 ± 1.6%ID/g; P = 0.01). These superior biodistributions translated into superior antitumor efficacy in mice treated with mutant FPs and 90Y-DOTA-bis-biotin [tumor volumes after 11 days: 237 ± 66 mm 3 with Y43A-SAv, 543 ± 320mm 3 with S45A-SAv, 1129 ± 322mm 3 with WT-SAv, and 1435 ± 212 mm 3 with control FP (P < 0.0001)]. Conclusions: Genetically engineered mutant-SAv FPs and bis-biotin reagents provide an attractive alternative to current SAv-biotin PRIT methods in settings where endogenous biotin levels are high. ©2011 AACR.

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Park, S. I., Shenoi, J., Frayo, S. M., Hamlin, D. K., Lin, Y., Wilbur, D. S., … Press, O. W. (2011). Pretargeted radioimmunotherapy using genetically engineered antibody-streptavidin fusion proteins for treatment of non-Hodgkin lymphoma. Clinical Cancer Research, 17(23), 7373–7382. https://doi.org/10.1158/1078-0432.CCR-11-1204

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