https://stm2.bookpi.org/UHCPDCKEIBCPACMT <p>The typical direction taken to study the nature of cancer has been to focus on signaling pathways, cell division, and genetic changes. However, much recent interdisciplinary research indicates that we cannot know the complete story of cancer through genetic stories only; there is an unseen aspect - rooted in energy dynamics - that drives the actions, persistence and expansion of cancerous cells.</p> <p>This book introduces the Energy Imbalance Based Cancer Propagation Algorithm (EIBC-PA), a conceptual and computational framework inspired by the notion that energy, not just genes, governs the malignant transformation of cells. The metaphor of the “master thief” serves as a powerful lens through which cancer is reframed as an energetic disruptor—one that steals vitality from its microenvironment and reshapes the tissue landscape.</p> <p>Building on principles from systems biology, thermodynamics, and mathematical modeling, this work offers both a theoretical basis and algorithmic simulation for understanding how local energy imbalances can initiate cascading recruitment events that transform healthy tissue. Through simulation models, case studies, and clinical parallels, the algorithm explores cancer not as a static genetic anomaly but as an evolving, energy-driven system collapse.</p> <p>This volume is the second in the *Unveiling the Hidden Costs* series and aims to provide researchers, clinicians, and systems theorists with an alternative yet complementary pathway for interpreting early tumorigenesis. It is written in the hope of inspiring new lines of investigation that fuse biophysics with oncology, and theory with translational potential.</p> <p>I would like to express my gratitude to all who contributed to this work. As an academic, a laboratory technician, and a veterinary technician, I have long believed in the value of bridging disciplines. May this book contribute to a more integrated, energy-informed understanding of cancer—and offer a new conceptual tool for those seeking to catch the master thief in time.</p> en-US Unveiling the Hidden Costs – Part 2: Dr. Cemil Koyunoğlu’s Energy Imbalance Based Cancer Propagation Algorithm (EIBC-PA) for Catching the Master Thief https://stm2.bookpi.org/UHCPDCKEIBCPACMT/article/view/272 <p>This study introduces the Energy Imbalance Based Cancer Propagation Algorithm (EIBC-PA), a novel conceptual and mathematical model that investigates how disruptions in cellular energetic stability can initiate and propagate malignant transformations. The aim of the study is to provide a systems-level framework grounded in energy dynamics to better understand cancer progression. The methodology involves defining gravitational and energetic thresholds within a hypothetical biological system and simulating the dynamic response to energy instability through algorithmic propagation rules. Key findings include the identification of localized energy singularities (ΔE) that act as catalysts for cascading oncogenic events, and the derivation of entropy-like thresholds that delineate metastability from malignancy. These findings suggest that cancer may be governed not solely by genetic mutation accumulation but also by systemic energy dissipation failures. The model aligns with principles from systems biology, thermodynamics, and information theory, and provides a new computational lens through which cancer development can be interpreted.</p> Cemil Koyunoğlu Copyright (c) 2025 Author(s). The licensee is the publisher (BP International). 2025-08-06 2025-08-06 1 77 10.9734/bpi/mono/978-81-991027-8-1