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Melanoma Evolves Complete Immunotherapy Resistance through the Acquisition of a Hypermetabolic Phenotype

Authors :
Michael A. Davies
Jennifer A. Wargo
Arthur Liu
Todd Bartkowiak
Pratip K. Bhattacharya
Ashvin R. Jaiswal
Cristina Ivan
Jing Wang
Casey R. Ager
Priyamvada Jayaprakash
Alexandre Reuben
Felix Nwajei
Zachary A. Cooper
Prasanta Dutta
David S. Hong
Zhenlin Ju
Zhiqiang Wang
Michael A. Curran
R. Eric Davis
Shivanand Pudakalakatti
Source :
Cancer Immunol Res
Publication Year :
2020

Abstract

Despite the clinical success of T-cell checkpoint blockade, most patients with cancer still fail to have durable responses to immunotherapy. The molecular mechanisms driving checkpoint blockade resistance, whether preexisting or evolved, remain unclear. To address this critical knowledge gap, we treated B16 melanoma with the combination of CTLA-4, PD-1, and PD-L1 blockade and a Flt3 ligand vaccine (≥75% curative), isolated tumors resistant to therapy, and serially passaged them in vivo with the same treatment regimen until they developed complete resistance. Using gene expression analysis and immunogenomics, we determined the adaptations associated with this resistance phenotype. Checkpoint resistance coincided with acquisition of a “hypermetabolic” phenotype characterized by coordinated upregulation of the glycolytic, oxidoreductase, and mitochondrial oxidative phosphorylation pathways. These resistant tumors flourished under hypoxic conditions, whereas metabolically starved T cells lost glycolytic potential, effector function, and the ability to expand in response to immunotherapy. Furthermore, we found that checkpoint-resistant versus -sensitive tumors could be separated by noninvasive MRI imaging based solely on their metabolic state. In a cohort of patients with melanoma resistant to both CTLA-4 and PD-1 blockade, we observed upregulation of pathways indicative of a similar hypermetabolic state. Together, these data indicated that melanoma can evade T-cell checkpoint blockade immunotherapy by adapting a hypermetabolic phenotype.

Details

Language :
English
Database :
OpenAIRE
Journal :
Cancer Immunol Res
Accession number :
edsair.doi.dedup.....bf2d18ec9aa510cf8d76fa52df325d24