Abstract PR02: Melanoma evolves complete immunotherapy resistance through acquisition of a hypermetabolic phenotype
Authors: Ashvin R. Jaiswal, Arthur J. Liu, Shivanand Pudakalakatti, Prasanta Dutta, Priyamvada Jayaprakash, Todd Bartkowiak, Casey Ager, Zhiqiang Wang, Alex Reuben, Zachary Cooper, Cristina Ivan, Zhenlin Ju, Felix Nwajei, Jing Wang, Michael A. Davies, R. Eric Davis, Jennifer A. Wargo, Pratip K. Bhattacharya, David S. Hong, Michael A. Curran
Journal: Cancer Research (2020)

Abstract Advances in our understanding of tumor immune biology and development of cancer immunotherapies have led to improved outcomes for patients who suffer from aggressive cancers such as melanoma. Despite the clinical success of immune checkpoint blockade, a majority of patients still fail to respond, and the underlying mechanisms that drive resistance remain unclear. To understand why a subset of tumors fail to respond to immunotherapy, we established a novel murine model of melanoma that is fully resistant to immune checkpoint blockade. By in vivo passaging nonresponding B16 melanoma tumor cells, we selected for a resistant variant that fails to respond to the combination of CTLA-4, PD-1, and PD-L1 blockade. In comparing gene expression of parental versus resistant tumor cells and analyzing the corresponding immune infiltrate, we determined the adaptations associated with resistance to therapy. We found that evasion of immunotherapy was associated with a “hypermetabolic” phenotype, characterized by an upregulation of glycolytic, oxidoreductase, and mitochondrial oxidative phosphorylation pathways to establish a hypoxic, metabolically hostile microenvironment. Enforced expression of two key genes associated with these pathways in parental tumor cells was sufficient to mediate resistance to triple checkpoint blockade. Flow cytometry assays determined that T cells infiltrating resistant tumors had diminished glycolytic capacity and effector function, indicating a metabolic disadvantage. Consistent with our findings, melanoma patients who failed dual checkpoint blockade exhibited similar metabolic alterations as seen in our resistant variant. Using a novel MRI-based imaging approach, we observed distinct metabolic changes that stratified responding versus nonresponding tumors in live mice. Applying this method to patients could provide insight into predicting response rates to checkpoint modulation. Overall, our data indicate that resistant melanoma tumor cells acquire a “hypermetabolic” phenotype to establish a hostile microenvironment that is capable of inhibiting the antitumor immune response. This abstract is also being presented as Poster A24. Citation Format: Ashvin R. Jaiswal, Arthur J. Liu, Shivanand Pudakalakatti, Prasanta Dutta, Priyamvada Jayaprakash, Todd Bartkowiak, Casey Ager, Zhiqiang Wang, Alex Reuben, Zachary Cooper, Cristina Ivan, Zhenlin Ju, Felix Nwajei, Jing Wang, Michael A. Davies, R. Eric Davis, Jennifer A. Wargo, Pratip K. Bhattacharya, David S. Hong, Michael A. Curran. Melanoma evolves complete immunotherapy resistance through acquisition of a hypermetabolic phenotype [abstract]. In: Proceedings of the AACR Special Conference on Melanoma: From Biology to Target; 2019 Jan 15-18; Houston, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(19 Suppl):Abstract nr PR02.