Scientific visualization

Kagiso Caven Mnski

Systems Biology & Cancer Research

Exploring cancer dynamics through a systems-engineering lens, mapping complex biological processes into actionable frameworks for understanding tumor behavior and therapeutic intervention.

Research Focus

My research applies systems-engineering principles to understand cancer cell dynamics. Rather than viewing cancer as isolated cellular failures, I examine how nine interconnected biological processes create a self-sustaining system that enables tumor survival and progression.

Systems Perspective

Cancer persists through multiple reinforcing feedback loops. Understanding these interconnections reveals why single-pathway interventions often fail and why multi-system approaches are essential.

Therapeutic Strategy

By mapping cancer dynamics to controllable biological layers, we can identify intervention points that simultaneously disrupt multiple tumor-supporting processes, shifting the system toward normal tissue regulation.

The Nine Cancer Dynamics

Cancer cell behavior can be understood through nine interconnected dynamics. Each represents a distinct biological process that, when dysregulated, contributes to tumor formation and progression.

1. Loss of Normal Growth Control
Cells divide without regulatory signals
2. Uncontrolled Cell Division
Cancer cells replicate faster than normal cells
3. Resistance to Cell Death
Cells avoid programmed death (apoptosis)
4. Genetic Instability
Mutations accumulate rapidly over time
5. Metabolic Reprogramming
The Warburg Effect - altered energy production
6. Angiogenesis
Creating new blood vessel supply
7. Tissue Invasion
Breaking through tissue barriers
8. Metastasis
Spreading through the body
9. Immune System Evasion
Hiding from immune detection

Systems Integration

Cancer dynamics system diagram

Five Core Engines

Cancer survival depends on five interconnected systems that reinforce each other:

  • Growth Signaling

    Continuous cell division signals

  • Energy Metabolism

    Altered glucose consumption

  • Genetic Evolution

    Rapid mutation accumulation

  • Tissue Invasion

    Barrier breakdown and migration

  • Immune Escape

    Immune system evasion

Cancer Modulation Framework

A systems blueprint showing six regulatory layers that correspond to cancer dynamics. Effective therapeutic strategies target multiple layers simultaneously.

6-layer cancer modulation framework
Cellular Regulation Layer
Control how and when cells divide
Metabolic Control Layer
Manage how cells generate energy
Genetic Stability Layer
Maintain DNA integrity
Structural Tissue Layer
Preserve organized tissue architecture
Vascular Supply Layer
Regulate oxygen and nutrient supply
Immune Surveillance Layer
Detect and eliminate abnormal cells

Key Insights

Multi-System Disruption

Cancer adapts when only one pathway is affected. Effective strategies must simultaneously target multiple biological systems—growth signaling, metabolism, genetic stability, tissue integrity, vascular supply, and immune surveillance.

Attractor State Shifting

Cancer cells exist in a stable "attractor state" maintained by reinforcing feedback loops. Therapeutic success requires shifting the biological system from the cancer attractor toward the healthy cell attractor through coordinated interventions.

Reverse Dynamics Model

Rather than only destroying tumor cells, reverse dynamics focuses on restoring healthy biological balance. By reversing the direction of cancer-supporting feedback loops, we can shift the cellular environment back toward normal regulation.

Correspondence Framework

Each cancer dynamic corresponds to specific biological control points. Mapping these correspondences reveals where interventions can collapse the tumor system by addressing multiple dynamics simultaneously.

Get In Touch

Interested in discussing systems biology, cancer research, or potential collaborations?