NOAH6-P0 Validation of Reorganizational Emergence, Regulatory Resilience, and Bypass Architecture in a Pan-Cancer Proliferation Network

Abstract Tumor proliferation is traditionally investigated through individual genes, signaling pathways, mutations, and differential gene expression. While this approach has identified numerous important molecular regulators, it leaves open the question of whether a higher-order regulatory organization exists above the level of individual genes. The objective of the NOAH6-P0 validation project was to reconstruct the organizational architecture of the proliferative system directly from data and to determine whether tumor proliferation represents a distinct regulatory network organization. The validation was performed using a strictly data-driven framework without predefined regulators, modules, or hierarchical structures. An initial proliferative gene space consisting of 5,942 genes was constructed from publicly available proliferation-related gene sets. Subsequent analyses integrated bulk and single-cell datasets, including Pan-Z0 (672 normal samples), Pan-T0 (9,447 tumor samples), and 262,956 individual single cells. Transfer Entropy analysis, shuffle validation (1,000 iterations), bootstrap validation (300 iterations), WGCNA network reconstruction, module genealogy, layer genealogy, knockout simulations, bypass analysis, hub perturbation analysis, and single-cell reproduction analyses were performed. The results demonstrated that tumor proliferation is not organized as a collection of isolated proliferation-associated genes. Instead, a structured regulatory architecture was identified. Ten Z0 modules reorganized into five T0 modules, while four Z0 regulatory layers reorganized into three principal T0 layer outputs accompanied by the emergence of two additional T0 regulatory layers. The largest transformation event was the transition from the Z0 brown module to the T0 green module involving 2,825 genes (93.51%). Transfer Entropy analyses identified a non-random regulatory hierarchy and directional information flow. Direct knockout analyses demonstrated that the T0 network exhibits greater regulatory resilience than the Z0 network. Bypass analyses revealed organized compensatory regulatory pathways, including green KO → grey, grey KO → green, and brown KO → green transitions. Functional hub perturbation analyses identified NCAPH as the dominant functional hub, accounting for 86.88% of the total observed perturbation effect among the principal candidate hubs. Independent single-cell analyses reproduced the same hierarchical sequence observed in bulk datasets, confirming the robustness of the model across analytical scales. The integrated results support a model in which tumor proliferation emerges through the reorganization of a pre-existing proliferative system rather than through the appearance of an entirely new regulatory structure. The resulting T0 network exhibits reorganization emergence, increased regulatory resilience, bypass architecture, dominant functional hubs, and reproducible multilevel organization. Collectively, these findings support the conclusion that tumor proliferation represents a reorganized multilevel regulatory network whose properties cannot be fully explained through the analysis of individual genes or isolated signaling pathways.