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Theoretical framework proposes engineered T-cells for enhanced immune surveillance against tumor evasion, suggesting significant implications for cancer treatment.
DQIS — Distributed Quantum-Inspired Immune Surveillance: Consolidated Framework v22.0 This document presents DQIS — a theoretical framework proposing to augment natural immune surveillance with five engineered T-cell variants operating on orthogonal biophysical channels (metabolic, mechanical, bioelectric, epigenetic, topological), coordinated by a distributed consensus protocol. The core principle — borrowed from quantum cryptography — is that statistically independent verification channels reduce joint tumor escape probability multiplicatively. Version 22.0 principal updates. Direct empirical θ measurement on real scRNA-seq data: GBM (GSE131928, 7,911 cells) θ=0.199 — reclassified from cold to hot, identical to melanoma; PDAC (GSE155698, 11,448 cells) θ=1.214 — confirmed cold for intrinsic biological reasons (normal pancreas θ=1.107, GSE84133). Penetrance discovery: IPS signal 15.5× in PDAC vs normal pancreas, 10.1× in IPMN precancerous lesions — P(false alarm, N=1,000 cells)=0.0003. T-ζ-IPS module provides population-level PDAC detection without modifying existing constructs. T-α v3.0 triple-AND-gate resolves self-activation (p_i=0.0003–0.002). PAA architecture resolves tonic signaling exhaustion (ε(10y)=0.921, analytically proven). Operative efficacy claims (three-phase model). Phase 0 PoC: ~75× reduction using T-γ* + T-δ with existing approved technology. DQIS-3: ~360–980× (5–7 years). DQIS-5: ~5,000–30,000× (10–12 years). Theoretical ceiling ~4,000,000× (k=5 unanimous, θ=0) is non-operative and reported for completeness only. The framework is explicitly theoretical. Wet-lab experimental validation is the required next step. This document is structured as a foundation for academic discussion and a target for experimental falsification. Contact: dqis.research@proton.me Related documents: - Register of Scientific Objections v4.0: https://zenodo.org/records/19880166 - Addendum I — Temporal Stratification of Tail Dependence Risk: https://zenodo.org/records/19877810
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DQIS Research Group (2026) studied this question.
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