This conceptual article proposes a system-level framework for cancer intervention within systems oncology, extending the SCARBAC-T approach. Rather than viewing tumors only as collections of malignant cells, the framework treats them as adaptive communication networks in which cancer stem cells (CSCs), transit‑amplifying cells and the tumor microenvironment are linked by bidirectional signaling. These communication pathways integrate proliferative, metabolic and immune processes into coordinated tumor system states that sustain survival under therapeutic pressure. Building on this perspective, the paper introduces tumor communication pathways as “intervention surfaces” through which therapeutic pressure can be applied, redirected and coordinated. It formalizes SCARBAC‑T as a multi‑axis architecture that combines direct pressure (Front), dynamic state inference from biomarkers and physiological signals (Spy), communication disruption (Jam) and orthogonal targeting of emergent vulnerabilities (Flank) within patient‑specific constraints. Temporal orchestration of these axes is proposed as a means to align interventions with transient windows of vulnerability and to progressively destabilize tumor coordination. The work outlines conceptual implementation pathways—from computational models and in vitro co‑cultures to dynamic biomarker monitoring—and formulates a set of testable hypotheses. The framework is explicitly therapy‑agnostic and does not describe a clinical protocol, but is intended to guide experimental and computational research on communication‑driven, closed‑loop cancer intervention strategies.
Bert Jan van der Werf (Sat,) studied this question.