Cancer is not a static condition; it is a dynamic process shaped by the plasticity of cancer cells and interaction with the host organism. Rooted in processual ontology, it is characterized by continuous transformation: shifting phenotypes, metabolic rewiring, immune escape, and temporal flux. This very plasticity associated with the malignant phenotype also suggests possibilities of control. Cancer, in its fluidity, becomes not just a threat but a system that may be reprogrammed. Cancer’s adaptability may also be its vulnerability. This book proposes a paradigm shift: to move beyond reductionist oncology and embrace a systemic, organism-centered perspective. The human body must be seen not as a sum of parts, but as a biosphere of interacting climates and rhythms. In order to improve cancer patients’ outcomes, precision oncology must be expanded into process oncology, integrating time-sensitive, homeodynamic interventions. Through AI-driven tools, systems biology, and transdisciplinary collaboration, we may learn to entrain cancer’s rhythms, modulate its trajectory, and support the organism’s intrinsic capacity for healing. Cancer’s processual nature is not only its defining characteristic; it may be the key to its cure.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Conclusions

  • Doru Paul

摘要

Cancer is not a static condition; it is a dynamic process shaped by the plasticity of cancer cells and interaction with the host organism. Rooted in processual ontology, it is characterized by continuous transformation: shifting phenotypes, metabolic rewiring, immune escape, and temporal flux. This very plasticity associated with the malignant phenotype also suggests possibilities of control. Cancer, in its fluidity, becomes not just a threat but a system that may be reprogrammed. Cancer’s adaptability may also be its vulnerability. This book proposes a paradigm shift: to move beyond reductionist oncology and embrace a systemic, organism-centered perspective. The human body must be seen not as a sum of parts, but as a biosphere of interacting climates and rhythms. In order to improve cancer patients’ outcomes, precision oncology must be expanded into process oncology, integrating time-sensitive, homeodynamic interventions. Through AI-driven tools, systems biology, and transdisciplinary collaboration, we may learn to entrain cancer’s rhythms, modulate its trajectory, and support the organism’s intrinsic capacity for healing. Cancer’s processual nature is not only its defining characteristic; it may be the key to its cure.