Melanoma evolves complete immunotherapy resistance through the acquisition of a hypermetabolic phenotype

Ashvin R. Jaiswal, Arthur J. Liu, Shivanand Pudakalakatti, Prasanta Dutta, Priyamvada Jayaprakash, Todd Bartkowiak, Casey R. Ager, Zhi Qiang Wang, Alexandre Reuben, Zachary A. 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

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1365-1380
Number of pages16
JournalCancer Immunology Research
Volume8
Issue number11
DOIs
StatePublished - Nov 1 2020

ASJC Scopus subject areas

  • Immunology
  • Cancer Research

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  • Research Histology, Pathology and Imaging Core
  • Tissue Biospecimen and Pathology Resource

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