Granzyme B Probe Plus PET Scanning Helps Determine Response To Immunotherapy

MedicalResearch.com Interview with:

Ben Larimer, PhD research fellow in lab of Umar Mahmood, MD, PhD Massachusetts General Hospital Professor, Radiology, Harvard Medical School

Dr. Ben Larimer

Ben Larimer, PhD research fellow in lab of
Umar Mahmood, MD, PhD

Massachusetts General Hospital
Professor, Radiology, Harvard Medical School

MedicalResearch.com: What is the background for this study? What are the main findings?

Response:
Although immunotherapies such as checkpoint inhibitors have revolutionized cancer treatment, unfortunately they only work in a minority of patients. This means that most people who are put on a checkpoint inhibitor will not benefit but still have the increased risk of side effects. They also lose time they could have spent on other therapies. The ability to differentiate early in the course of treatment patients who are likely to benefit from immunotherapy from those who will not greatly improves individual patient care and helps accelerate the development of new therapies.

The main purpose of our study was to find a way to separate immunotherapy responders from non-responders at the earliest time point possible, and develop an imaging probe that would allow us to distinguish this non-invasively.

Granzyme B is a protein that immune cells use to actually kill their target. They keep it locked up in special compartments until they get the right signal to kill, after which they release it along with another protein called perforin that allows it to go inside of tumor cells and kill them. We designed a probe that only binds to granzyme B after it is released from immune cells, so that we could directly measure immune cell killing. We then attached it to a radioactive atom that quickly decays, so we could use PET scanning to noninvasively image the entire body to see where immune cells were actively releasing tumor-killing granzyme B.

We took genetically identical mice and gave them identical cancer and then treated every mouse with checkpoint inhibitors, which we knew would result in roughly half of the mice responding, but we wouldn’t know which ones until their tumors began to shrink. A little over a week after giving therapy to the mice, and before any of the tumors started to shrink, we injected our imaging probe and performed PET scans. When we looked at the mice by PET imaging, they fell into two groups. One group had high PET uptake, meaning high levels of granzyme B in the tumors, the other group had low levels of PET signal in the tumors. When we then followed out the two groups, all of the mice with high granzyme B PET uptake ended up responding to the therapy and their tumors subsequently disappeared, whereas those with low uptake had their tumors continue to grow.

We were very excited about this and so we expanded our collaboration with co-authors Keith Flaherty and Genevieve Boland to get patient samples from patients who were on checkpoint inhibitor therapy to see if the same pattern held true in humans. When we looked at the human melanoma tumor samples we saw the same pattern, high secreted granzyme levels in responders and much lower levels in non-responders.

MedicalResearch.com: What should readers take away from your report?

Response: The key finding was that we found a marker of response to immunotherapy that was highly predictive at a very early time after starting immunotherapy and we were able to design an imaging probe that very accurately predicted response non-invasively.

MedicalResearch.com: What recommendations do you have for future research as a result of this study?

Response: Granzyme B is a molecule that is potentially used for tumor killing across many different therapeutic classes, not just checkpoint inhibitors, and PET imaging of granzyme B could detect it in a vast majority of cancers. We hope to begin in melanoma with checkpoint inhibitors to show that the concept works, but then quickly move to other cancers and other therapies, so as to have the broadest impact possible.

The first step will be correlating PET imaging signal with granzyme B levels in humans. One thing we have seen is that granzyme B levels can vary a lot even within a single tumor, making biopsy a risky choice for correlation because the tiny portion of tumor we sample may not be representative of the entire tumor. We plan to do the correlation in melanoma, which will allow us to select tumors that can be entirely surgically removed for complete characterization. After we show that our PET signal accurately measures the amount of granzyme B in the tumor, our secondary objectives will be to correlate granzyme B PET with progression-free survival and overall survival to determine its accuracy of prediction.

MedicalResearch.com: Is there anything else you would like to add? Any disclosures?

Response: A non-invasive method to detect immunotherapy response can do two things. First, it provides a more personalized approach to immunotherapy, so that patients and oncologists can have more information about response at earlier time points, allowing for more options to be explored in the case of immunotherapy failure. Additionally, a tool like granzyme B PET imaging can greatly enhance drug development by permitting smaller scale studies of new therapies to gauge effectiveness through measurement of tumor granzyme B levels. Those treatments that have the highest granzyme B levels can be advanced faster and those with low granzyme B can be altered or eliminated.

This study was funded by the National Institutes of Health. Mahmood is the cofounder and consultant at CytoSite BioPharma Inc., a company that is further developing the granzyme B PET imaging probe for clinical translation.

Disclosures:  This study was funded by the National Institutes of Health. Mahmood is the cofounder and consultant at CytoSite BioPharma Inc., a company that is further developing the granzyme B PET imaging probe for clinical translation.

Citation:

Granzyme B PET Imaging as a Predictive Biomarker of Immunotherapy Response

Benjamin M. Larimer, Eric Wehrenberg-Klee, Frank Dubois, Anila Mehta, Taylor Kalomeris, Keith Flaherty, Genevieve Boland and Umar Mahmood
10.1158/0008-5472.CAN-16-3346 

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Last Updated on May 1, 2017 by Marie Benz MD FAAD