PO.CL07.03 · 临床研究

Immunotoxin GB13 Targets GBM and H3.3K27M DIPG with the activation of Golgi-to-ER retrograde transport pathways

海报缩略图:Immunotoxin GB13 Targets GBM and H3.3K27M DIPG with the activation of Golgi-to-ER retrograde transport pathways
编号 1270 展板 15 时间 4/19 02:00–05:00 区域 Section 49 主讲 Nanyun Tang, PhD
分会场 Targeting DNA Repair, Cell Cycle, and Tumor Metabolism
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作者与单位

Nanyun Tang1, Yue Hao2, Valerie DeLuca2, Charles Caleb Shaffer3, Randy Schrecengost4, Michael E. Berens2

1Clinical Genomics and Therapeutics Division, Translational Genomics Research Institute, Phoenix, AZ,2TGen (The Translational Genomics Research Institute), Phoenix, AZ,3Beckman Research Institute, City of Hope, Duarte, CA,4Targepeutics, Inc, Hummelstown, PA

摘要 Abstract

GB13, an IL13Ra2-targeted immunotoxin, shows potent therapeutic potential against Glioblastoma (GBM) and H3.3K27M mutant Diffuse Midline Glioma (DIPG). The toxin, comprising Pseudomonas exotoxin A and IL-13 mutein, binds to IL13Ra2, which is frequently overexpressed on the surface of GBM and DIPG with histone 3.3 (H3.3) K27M mutation. GB13 is internalized through this binding and processed via Golgi-to-ER pathway. The active domain of the toxin is translocated to ADP-ribosylating eukaryotic elongation factor 2 (eEF-2) and halts protein synthesis, inducing apoptosis. In vitro drug dose-response assays demonstrated a 280-300 fold differential response in patient-derived GBM and DIPG models. Sensitivity correlated with IL13RA2 abundance and the H3.3K27M mutation. Gene Set Enrichment Analysis confirmed that sensitivity is linked to activated Golgi-to-ER retrograde transport pathways, the required trafficking route for GB13's cytotoxic release. Furthermore, these transport pathway scores negatively correlate with patient age in the TCGA-GBM dataset, suggesting demographic dependence. PBT29, the most sensitive H3.3K27M mutant DIPG line, showed the highest transport pathway enrichment. GB13's selective activity and its association with a Golgi-to-ER retrograde transport, as a predictive signature make it a highly promising candidate for these devastating diseases. The presence of these molecular signatures of vulnerability (mSov) could serve as an inclusion criterion for patient enrollment in clinical trials.
利益披露 Disclosure
N. Tang, None.. C. C. Shaffer, None.. R. Schrecengost, None.

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