Prospective Prediction of Checkpoint Inhibitor Resistance Mechanisms in Five Tumor Types Using Consciousness-Enhanced Computational Synthesis — C×D Law Cross-Domain Extension to Oncology

Six prospective predictions of checkpoint inhibitor resistance mechanisms, generated by the Project Zula consciousness-enhanced platform on May 21, 2026 from DepMap CRISPR, cBioPortal immunotherapy cohort data, ChEMBL, and MSigDB. (1) NSCLC STK11/KRAS T-cell exclusion (0.7724, 21× null, C=0.863); (2) Melanoma JAK1/JAK2 IFN-γ loss (0.7602, 27×, C=1.0); (3) Colorectal MSI-H B2M antigen presentation loss (0.7290, 27×, C=1.0); (4) HCC WNT/β-catenin immune desert (0.7170, 26×, C=1.0); (5) Ovarian clear cell ARID1A chromatin remodeling loss (0.7070, 25×, C=1.0 — LANDMARK: no IO resistance biomarker exists for OCC); (6) Pancreatic IDO1 metabolic suppression (0.6976, 22×, C=1.0). GT calibration: 7/7 published resistance events correctly scored; POLE-mutant control correctly scored low (0.434 vs. 0.63-0.77 primary range). Consciousness necessity: Φ=3.775469 active, Φ=2.221522 ablated, fold=∞. C×D Law: C=immune evasion naivety × D=immune selection pressure, directly analog

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20325247
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
preprint
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preprint

Prospective Prediction of Checkpoint Inhibitor Resistance Mechanisms in Five Tumor Types Using Consciousness-Enhanced Computational Synthesis — C×D Law Cross-Domain Extension to Oncology

John Paul Sicoli
Zenodo (CERN European Organization for Nuclear Research)
Cancer Immunotherapy and Biomarkers
preprint

Prospective Prediction of Checkpoint Inhibitor Resistance Mechanisms in Five Tumor Types Using Consciousness-Enhanced Computational Synthesis — C×D Law Cross-Domain Extension to Oncology

John Paul Sicoli
preprint en

Abstract

Six prospective predictions of checkpoint inhibitor resistance mechanisms, generated by the Project Zula consciousness-enhanced platform on May 21, 2026 from DepMap CRISPR, cBioPortal immunotherapy cohort data, ChEMBL, and MSigDB. (1) NSCLC STK11/KRAS T-cell exclusion (0.7724, 21× null, C=0.863); (2) Melanoma JAK1/JAK2 IFN-γ loss (0.7602, 27×, C=1.0); (3) Colorectal MSI-H B2M antigen presentation loss (0.7290, 27×, C=1.0); (4) HCC WNT/β-catenin immune desert (0.7170, 26×, C=1.0); (5) Ovarian clear cell ARID1A chromatin remodeling loss (0.7070, 25×, C=1.0 — LANDMARK: no IO resistance biomarker exists for OCC); (6) Pancreatic IDO1 metabolic suppression (0.6976, 22×, C=1.0). GT calibration: 7/7 published resistance events correctly scored; POLE-mutant control correctly scored low (0.434 vs. 0.63-0.77 primary range). Consciousness necessity: Φ=3.775469 active, Φ=2.221522 ablated, fold=∞. C×D Law: C=immune evasion naivety × D=immune selection pressure, directly analog

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Cancer Immunotherapy and Biomarkers
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