Discovering predictive biomarkers that better identify which patients will respond to cancer immunotherapies is a major unmet clinical need for oncology. Immunohistochemistry of antigen status is fraught with false positives and negatives for drug targets like PD-1 and PD-L1, and on this basis, measuring antigen levels with quantitative imaging may provide a more global assessment of drug target expression in all cancer lesions within a patient. These data may in turn empower more sophisticated and robust algorithms for identifying potential responders. With these considerations in mind, this project will develop a high sensitivity imaging tool targeting PD-L1 that is responsive to the special demands of human translation. For instance, we will develop a radiotracer based on a human recombinant Fab against PD-L1, which will both preclude the need for a costly humanization process and minimize the absorbed dose to normal tissues in patients. Moreover, we will radiofluorinate the Fab using a new chemoenzymatic technology that we recently developed and published. The radiolabeling technology may facilitate more rapid translation as it is site specific and it results in higher specific activity and radiochemical yield compared to the current gold standard in the field, N-succinimidyl-[18F]- 4-fluorobenzoate. In three specific aims, the Fab will be radiolabeled and characterized in vitro, proof of concept imaging studies will be conducted to show specific binding in models of cancer known to respond to anti-PD-1/PD-L1 therapies, and longitudinal imaging studies will be conducted to determine if the Fab can detect PD-L1 expression changes due to chemo or radiation therapy that can enhance the impact of anti-PD- 1/PD-L1 immunotherapy. In summary, the data from this project could significantly contribute to the community wide effort to develop better translational predictive biomarkers for important cancer immunotherapies.

Public Health Relevance

Quantitative imaging with PET could provide a more holistic view of antigen expression to better identify which patients are most likely to respond to cancer immunotherapies. This project aims to develop a companion diagnostic for PET to better identify subjects likely to respond to two highly important immunotherapy drug targets, PD-1 and PD-L1. To make the imaging probe as tractable as possible for near-term clinical translation, we have developed a low molecular weight human recombinant anti-PD-L1 Fab (derived from an IgG1 clone that we have already shown to be an effective imaging tool), and we are radiolabeling the Fab with a novel and efficient site specific radiofluorination strategy.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
1R01EB025207-01A1
Application #
9596814
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Atanasijevic, Tatjana
Project Start
2018-07-01
Project End
2022-03-31
Budget Start
2018-07-01
Budget End
2019-03-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118
Behr, Spencer C; Villanueva-Meyer, Javier E; Li, Yan et al. (2018) Targeting iron metabolism in high-grade glioma with 68Ga-citrate PET/MR. JCI Insight 3: