| Literature DB >> 35027482 |
Supum Lee1, Alessandra Cavaliere1, Jean-Dominique Gallezot1, Tibor Keler2, Sharon K Michelhaugh3, Erika Belitzky1, Michael Liu1, Tim Mulnix1, Stephen E Maher4, Alfred L M Bothwell4,5, Fangyong Li6, Manali Phadke6, Sandeep Mittal3,7, Bernadette Marquez-Nostra1.
Abstract
There is a need for prognostic markers to select patients most likely to benefit from antibody-drug conjugate (ADC) therapy. We quantified the relationship between pretreatment PET imaging of glycoprotein nonmetastatic melanoma B (gpNMB) with 89Zr-labeled anti-gpNMB antibody ([89Zr]ZrDFO-CR011) and response to ADC therapy (CDX-011) in triple-negative breast cancer. First, we compared different PET imaging metrics and found that standardized uptake values (SUV) and tumor-to-heart SUV ratios were sufficient to delineate differences in radiotracer uptake in the tumor of four different cell- and patient-derived tumor models and achieved high standardized effect sizes. These tumor models with varying levels of gpNMB expression were imaged with [89Zr]ZrDFO-CR011 followed by treatment with a single bolus injection of CDX-011. The percent change in tumor volume relative to baseline (% CTV) was then correlated with SUVmean of [89Zr]ZrDFO-CR011 uptake in the tumor. All gpNMB-positive tumor models responded to CDX-011 over 6 weeks of treatment, except one patient-derived tumor regrew after 4 weeks of treatment. As expected, the gpNMB-negative tumor increased in volume by 130 ± 59% at endpoint. The magnitude of pretreatment SUV had the strongest inverse correlation with the % CTV at 2-4 weeks after treatment with CDX-011 (Spearman ρ = -0.8). However, pretreatment PET imaging with [89Zr]ZrDFO-CR011 did not inform on which tumor types will regrow over time. Other methods will be needed to predict resistance to treatment. ©2022 American Association for Cancer Research.Entities:
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Year: 2022 PMID: 35027482 PMCID: PMC8898259 DOI: 10.1158/1535-7163.MCT-21-0590
Source DB: PubMed Journal: Mol Cancer Ther ISSN: 1535-7163 Impact factor: 6.009