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West, Illeana

Mayo Clinic

University of Florida

Citations 3

TMIC-83. Targeting Lipid Metabolism in GBM: A Systems Biology Strategy to Overcome Treatment-Resistant Persister Cells and Their Myeloid Cell-Mediated Support
Chakraborty, Avirup , Yang, Changlin , Feier, Diana , Silver, Aryeh , Searl, Nyla, Anica, Miruna, Pittu, Avinash, West, Illeana, Sobanjo, Olusegun O., Hodge, Ethan, Engelbart, Mia, Sengupta, Srabasti, Thomas, Nagheme, Rahman, Maryam, Mitchell, Duane A. , Sarkisian, Matthew R. , Chakraborty, Avirup , Feier, Diana, Sengupta, Srabasti, Roemeling, Christina A. Von , Huang, Jiangping, Harrison, Jeffrey K. , Deleyrolle, Loic P.

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v464-v464

10.1093/neuonc/noaf201.1838 Get It

Abstract INTRODUCTION Glioblastoma (GBM) contains metabolically distinct cell lineages: treatment-sensitive cells (TSCs) dependent on glycolysis and treatment-resistant persister cells (TRPCs) reliant on lipid metabolism. Our integrative systems biology approach, combining spatial multi-omics and targeted analyses, uncovers lipid acquisition in TRPCs as a pivotal driver of GBM progression which is supported by a retrospective study of statin-treated patients, providing clinical evidence for the therapeutic potential of targeting lipid metabolism in GBM patients stratified based on high TRPC signatures. METHODS We applied spatial transcriptomics and proteomics combined with 3D reconstruction of the tumor microenvironment to map TRPC- and TSC-enriched regions. Immunohistochemically stained tissues were analyzed using CellProfiler and our custom SNAQ algorithm for single-cell neighborhood analysis. Lipid transfer from Tumor-Associated Myeloid Cells (TAMCs) to TRPCs was tracked via flow cytometry, holotomography, and time-lapse imaging. Genetic and pharmacological targeting of CCR2, CSF1R, and FABP3 was performed in vitro and in vivo. Finally, a retrospective analysis of 4,085 GBM patients assessed the impact of statin treatment in relation to TRPC signatures. RESULTS TRPCs exploit recruited TAMCs to acquire lipids, supporting their survival and immune evasion. These interactions are mediated by CCL2/7–CCR2 and CSF1–CSF1R signaling. Disruption of TRPC-TAM lipid homeostasis significantly remodeled the immune microenvironment, reduced tumor growth, and extended survival in preclinical models. Patients with high TRPC signatures typically had poor outcomes; however, retrospective analysis revealed that statin treatment was associated with improved survival in this subgroup. These findings position lipid trafficking as a metabolic vulnerability in GBM and highlight the therapeutic relevance of targeting TRPC–TAMC interactions. CONCLUSION Our study reveals lipid trafficking to TRPCs as a key mechanism driving GBM progression. Targeting TAMC-mediated lipid transfer disrupts immune suppression and tumor growth. Transcriptomic profiling may guide patient stratification, identifying those likely to benefit from lipid metabolism-targeted therapies such as statins.
EXTH-109. Overexpressing glucose transporters to enhance CAR-T cell metabolic programming to treat glioblastoma
Sengupta, Srabasti, Yamaguchi, Adriana, West, Illeana, DeYoung, Chloe , Rugger, Niccolò A, Jin, Dan , Thomas, Nagheme, Feier, Diana , Silver, Aryeh , Chakraborty, Avirup , Rahman, Maryam, Mitchell, Duane A. , Sengupta, Srabasti, Yamaguchi, Adriana, Tao, Haipeng , Chauhan, Anjali , Feier, Diana, Chakraborty, Avirup , Huang, Jianping, Deleyrolle, Loic P.

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v365-v365

10.1093/neuonc/noaf201.1442 Get It

Abstract INTRODUCTION Glioblastoma (GBM) is a brain cancer known for its complex tumor microenvironment and ability to reprogram glucose metabolism and evade host immune responses. CAR-T cell therapy has attracted considerable attention due to its potential for high specificity and efficacy across various cancer types. However, its success in GBM has been limited due to the unique and hostile metabolic landscape of the tumor microenvironment. GBM tumor cells exhibit enhanced aerobic glycolysis, resulting in elevated glucose consumption. This restricts glucose availability for T cells, impairing activation and anti-tumor response. In our study, we enhanced the tumoricidal activity of CD70 CAR T-cells by overexpressing the glucose transporters GLUT1 and GLUT3, thereby improving their metabolic fitness and enabling them to overcome tumor-induced glucose deprivation. METHODS The CD70 CAR T-cell glucose metabolic pathway was modulated via glucose transporter overexpression. The efficacy and safety of metabolically modified CD70 CAR T-cells was investigated in in vitro and in vivo platforms. RESULTS GLUTs overexpression does not negatively affect T-cell differentiation and function but improves glucose consumption and intra-tumoral T-cell trafficking. We then used CD70 CAR-T platform and overexpress GLUT1 and GLUT3 to engineer T-cells. GLUT overexpression provided metabolic advantage to CD70CAR T-cells, which showed enhanced activation and cell avidity when co-cultured with GBM cells in both glucose enriched and restricted conditions. The metabolic modifications regulate CAR T-cell efficacy by enhancing intra-tumoral trafficking and persistence, followed by improved anti-tumor response and survival in mice. The lack of significant alterations in body weight and organ morphology in mice receiving GLUT-overexpressing CD70 CAR T-cells suggests that the adoptive transfer of these metabolically enhanced T cells does not elicit toxicity, thereby demonstrating a favorable safety profile during treatment. CONCLUSION Our study demonstrates development of immunotherapeutic strategies by incorporating core principles of tumor and immune cell metabolism, thus providing evidence that targeting immune-metabolic pathways is a potential approach to treat brain tumor.
Get to know your neighbors with a SNAQ™: A framework for single cell spatial neighborhood analysis in immunohistochemical images
Silver, Aryeh , Chakraborty, Avirup , Pittu, Avinash, Feier, Diana , Anica, Miruna, West, Illeana, Sarkisian, Matthew R. , Deleyrolle, Loic P. , Chakraborty, Avirup , Feier, Diana

Computational and Structural Biotechnology Journal | November 28, 2024 | Volume: 23 | Issue: No issue available | Pages: 4337-4349

10.1016/j.csbj.2024.11.040 Get It