The tumor-nerve-immune electrical axis: A hypothesis-generating framework for electrochemical communication in cancer

The tumor microenvironment (TME) is traditionally studied through biochemical, metabolic, and mechanical lenses. Increasing evidence, however, indicates that ion channels, membrane potential, and local ionic conditions also influence tumor and immune cell behavior, while cancer neuroscience has revealed that neural inputs can regulate tumor growth and plasticity. Despite these parallel advances, an integrated framework that explicitly links tumor bioelectricity, neural signaling, and immune electrochemical responsiveness is lacking. Here, we propose the tumor-nerve-immune electrical axis as a hypothesis-generating framework to organize these adjacent fields. We distinguish three levels of evidence: (i) compartment-specific mechanisms (tumor-cell bioelectricity, tumor-associated neural regulation, immune-cell electrophysiology), (ii) supported pairwise interactions (e.g., neuron-tumor coupling in selected cancers, extracellular K⁺-mediated T-cell suppression), and (iii) testable hypotheses that require direct experimental validation. The framework centers on three components, the electrical phenotype of cancer cells, activity-dependent signaling of tumor-associated nerves, and the capacity of immune cells to interpret ionic and membrane-state cues, and introduces the organizing concepts of neurogenic niche, electro-immunosuppression, and signal interception, all explicitly presented as testable heuristics rather than established universal mechanisms. Current evidence is strongest for individual components and selected pairwise interactions; direct demonstration of a broadly applicable tripartite electrical axis remains limited. We discuss experimentally testable predictions and therapeutic implications, including ion-channel-targeted pharmacology, physical field-based interventions, and emerging bioelectronic platforms. This framework is intended to guide mechanistic studies and evidence-based evaluation of when and how electrical communication contributes to cancer progression.