Granzyme B PET imaging as a predictive biomarker of immunotherapy response

BM Larimer, E Wehrenberg-Klee, F Dubois, A Mehta… - Cancer research, 2017 - AACR
BM Larimer, E Wehrenberg-Klee, F Dubois, A Mehta, T Kalomeris, K Flaherty, G Boland
Cancer research, 2017AACR
While cancer immunotherapy can produce dramatic responses, only a minority of patients
respond to treatment. Reliable response biomarkers are needed to identify responders, and
conventional imaging modalities have not proved adequate. Here, we provide a preclinical
proof of concept for the use of granzyme B, a downstream effector of tumoral cytotoxic T
cells, as an early biomarker for tumors responding to immunotherapy. We designed novel
PET imaging probes for the murine and human granzyme B isoforms that specifically and …
Abstract
While cancer immunotherapy can produce dramatic responses, only a minority of patients respond to treatment. Reliable response biomarkers are needed to identify responders, and conventional imaging modalities have not proved adequate. Here, we provide a preclinical proof of concept for the use of granzyme B, a downstream effector of tumoral cytotoxic T cells, as an early biomarker for tumors responding to immunotherapy. We designed novel PET imaging probes for the murine and human granzyme B isoforms that specifically and quantitatively bind granzyme B. Immunotherapy-treated mice were imaged prior to therapy-induced tumor volume reduction. Imaging distinguished treated responders from nonresponders with excellent predictive ability. To assess the clinical value of a granzyme B imaging paradigm, biopsy specimens from melanoma patients on checkpoint inhibitor therapy were analyzed. A marked differential in granzyme B expression was observed between treated responders and nonresponders. Additionally, our human probe was able to specifically detect granzyme B expression in human samples, providing a clear candidate for clinical application. Overall, our results suggest granzyme B PET imaging can serve as a quantitatively useful predictive biomarker for efficacious responses to cancer immunotherapy. Cancer Res; 77(9); 2318–27. ©2017 AACR.
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