CELL INTELLIGENCE · 肿瘤细胞治疗研究

BACKGROUND: Metastatic Ewing Sarcoma remains a critical therapeutic challenge with 5-year survival below 30%. The EWSR1-FLI1 fusion oncogene is undruggable by conventional approaches, requiring integrated bioengineering solutions. ARCHITECTURE: We present CRISPR-TTP, a modular architecture combining high-fidelity CRISPR-Cas9 genome engineering (>94% efficiency), FUS-programmable temporally controlled delivery via HOF-nanoparticles (1-2 mm spatial resolution), dendritic cell autovaccination, and PD-1 blockade. A multimodal AI system orchestrates real-time personalization and optimization. PROJECTED EFFICACY: In silico modeling predicts ∼96.3% tumor growth inhibition and a ∼65% improvement in median survival. CD8 + T-cell infiltration increases ∼3.2-fold. AI-optimized sgRNA prediction accuracy reaches 89.3%. CONCLUSION: This CC0-licensed architecture defines a new standard for integrated, spatiotemporally programmable precision oncology and is suitable for compassionate-use-ready translational deployment.