PO.CL12.01 · 临床研究

SPP1-driven immunometabolic reprogramming of tumor-associated neutrophils in glioblastoma

编号 3879 展板 12 🕑 4/20 02:00–05:00 📍 Section 46 主讲 Matthew Abikenari
分会场 Molecular Classification and Tumor Biology in Cancer
该海报暂无可下载的 PDF 🔗 AACR 官方页面

作者与单位 Authors & Affiliations

Matthew Alexander Abikenari1, John Hyunkuk Choi1, Ravi Medikonda1, Lily Kim1, Rohit Verma2, Justin Liu1, Adam Sjoholm1, George Nageeb1, Brandon Hwa-Lin Bergsneider2, Caren Yu-Ju Wu3, Kwang Bog Cho1, Andrew Tran1, David Bakalov4, Matei Banu1, Michael Lim1

1Neurosurgery, Stanford University School of Medicine, Stanford, CA,2Stanford University School of Medicine, Stanford, CA,3Taipei Chang Gung Memorial Hospital, Ghanghua, Taiwan,4Medical Scientist Training Program, University of Utah, Salt Lake City, UT

摘要 Abstract

Introduction: Tumor-associated neutrophils (TANs) in glioblastoma (GBM) are heterogeneous and poorly captured by the classical N1/N2 dichotomy. We characterized TAN states relative to peripheral blood neutrophils (PBNs) and wondered if a discrete, targetable program drives their pro-tumoral phenotype. Methods: Public scRNA-seq datasets were reanalyzed (GSM8380727, GSM8380728: TANs 15,000 cells; PBNs 10,000 cells; 36,601 genes). Standard Seurat workflow was applied (stringent QC; SCTransform; integration; PCA/UMAP; shared-nearest-neighbor clustering). Differential expression used Wilcoxon rank-sum with Bonferroni FDR (adj. p<0.05, |log2FC|>0.25). Module scoring examined prespecified programs: antigen presentation/co-stimulation, interferon/cytotoxicity, lipid/stress adaptation. Functional enrichment and protein-protein networks were assessed via GSEA and STRING. Results: Integration revealed six tumor-associated Neutrophil states beyond the classical N1/N2 paradigm. Among them, an SPP1+(osteopontin-high) (avg log2FC ~10.7; adj. p≈0) population was particularly transcriptionally associated with lipid processing genes (APOE, APOC1, APOC2) and chemokine master regulators (CCL3, CCL4) of immune cell recruitment and metabolic reprogramming. SPP1+ TANs featured repression of cytotoxicity pathways and induction of oxidative and lipid metabolism modules, pointing toward a shift from antimicrobial to tissue-remodeling and tumor-supporting activities. Network analysis revealed two large hubs: SPP1-APOE/APOC (lipid remodeling) and CCL3/CCL4 (immune signaling) that are bridged by metabolic stress genes (CTSB, EIF1B) into a cohesive immunometabolic circuit. Conclusion: Single-cell analysis characterizes GBM TAN heterogeneity and implicates an SPP1-centered, APC-like neutrophil axis bridging lipid regulation (APOE/APOCs) and chemokine signaling (CCL3/CCL4). This osteopontin-driven axis establishes a mechanistic basis for TAN-mediated tumor support and nominates SPP1 and its lipid-chemokine network as actionable targets to reprogram TANs for anti-tumor activity.This is among the first studies to define an osteopontin-driven immunometabolic axis in pro-tumoral neutrophils, establishing a mechanistic framework for future neutrophil-targeted immunotherapies in glioblastoma.
利益披露 Disclosure
M. A. Abikenari, None.. J. H. Choi, None.. R. Medikonda, None.. L. Kim, None.. J. Liu, None.. A. Sjoholm, None.. G. Nageeb, None.. K. Cho, None.. A. Tran, None.. D. Bakalov, None.. M. Banu, None.. M. Lim, None.

🔍 在海报库中搜索更多海报 →