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Melanoma Evolves Complete Immunotherapy Resistance through the Acquisition of a Hypermetabolic Phenotype.
Jaiswal, Ashvin R; Liu, Arthur J; Pudakalakatti, Shivanand; Dutta, Prasanta; Jayaprakash, Priyamvada; Bartkowiak, Todd; Ager, Casey R; Wang, Zhi-Qiang; Reuben, Alexandre; Cooper, Zachary A; Ivan, Cristina; Ju, Zhenlin; Nwajei, Felix; Wang, Jing; Davies, Michael A; Davis, R Eric; Wargo, Jennifer A; Bhattacharya, Pratip K; Hong, David S; Curran, Michael A.
Afiliación
  • Jaiswal AR; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Liu AJ; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas.
  • Pudakalakatti S; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Dutta P; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas.
  • Jayaprakash P; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Bartkowiak T; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Ager CR; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wang ZQ; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Reuben A; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas.
  • Cooper ZA; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Ivan C; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas.
  • Ju Z; Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Nwajei F; Departments of Genomic Medicine and Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wang J; Departments of Genomic Medicine and Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Davies MA; Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Davis RE; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wargo JA; Department of Symptom Research, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Bhattacharya PK; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Hong DS; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas.
  • Curran MA; Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Cancer Immunol Res ; 8(11): 1365-1380, 2020 11.
Article en En | MEDLINE | ID: mdl-32917656
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Melanoma Experimental / Inmunoterapia Límite: Animals / Humans / Male Idioma: En Revista: Cancer Immunol Res Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Melanoma Experimental / Inmunoterapia Límite: Animals / Humans / Male Idioma: En Revista: Cancer Immunol Res Año: 2020 Tipo del documento: Article