Literature DB >> 25977331

Noninvasive Imaging of Tumor PD-L1 Expression Using Radiolabeled Anti-PD-L1 Antibodies.

Sandra Heskamp1, Willemijn Hobo2, Janneke D M Molkenboer-Kuenen3, Daniel Olive4, Wim J G Oyen3, Harry Dolstra2, Otto C Boerman3.   

Abstract

Antibodies that block the interaction between programmed death ligand 1 (PD-L1) and PD-1 have shown impressive antitumor activity. Patients with tumors expressing PD-L1 are most likely to respond to this treatment. The aim of our study was to develop a noninvasive imaging technique to determine tumor PD-L1 expression in vivo. This could allow selection of patients that are most likely to benefit from anti-PD-1/PD-L1 treatment and to monitor PD-L1 expression during therapy. The monoclonal antibody PD-L1.3.1 was radiolabeled with Indium-111 ((111)In) and characterized using PD-L1-expressing MDA-MB-231 cells. Subsequently, the optimal antibody dose and time point for imaging was determined in mice with MDA-MB-231 xenografts. Finally, SPECT/CT imaging was performed in xenograft models with different PD-L1 expression levels and tumor sections were analyzed for PD-L1 expression using IHC. The optimal antibody dose of (111)In-PD-L1.3.1 (Kd = 1 nmol/L) for SPECT/CT imaging was ≤1 μg. Highest tumor-to-normal tissue contrast was obtained at days 3 and 7 after injection. (111)In-PD-L1.3.1 SPECT/CT showed efficient accumulation in high PD-L1-expressing tumors (MDA-MB-231 and SK-Br-3), whereas no specific uptake was observed in tumors with low or no detectable levels of PD-L1 (SUM149, BT474, and MCF-7). SPECT/CT and autoradiography showed a very heterogeneous distribution of (111)In-PD-L1.3.1 within the tumor. In conclusion, this is the first study showing the feasibility of noninvasive in vivo imaging of PD-L1 expression in tumors. (111)In-PD-L1.3.1 showed efficient and specific uptake in PD-L1 expressing xenografts. This technique may enable patient selection for PD-1 and PD-L1-targeted therapy. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25977331     DOI: 10.1158/0008-5472.CAN-14-3477

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


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