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Cancer ecosystems: A dynamic interplay across scales.

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Cancer progresses within complex ecosystems. This study proposes a multi-scale framework to reprogram tumor-sustaining networks, integrating organismal physiology for durable cancer therapy.

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Area of Science:

  • Oncology
  • Systems Biology
  • Cancer Research

Background:

  • Tumors exist in complex, adaptive ecosystems influenced by local and systemic factors.
  • Cancer progression depends on interactions within the tumor microenvironment and the host macroenvironment.
  • Current therapies often focus on eliminating malignant cells, neglecting the broader biological context.

Purpose of the Study:

  • To propose a multi-scale framework uniting tumor biology and organismal physiology.
  • To reframe cancer therapy from cell elimination to network reprogramming.
  • To highlight emerging approaches for restoring physiological equilibrium in cancer treatment.

Main Methods:

  • Multi-scale framework integrating tumor biology and organismal physiology.
  • Review of emerging therapeutic approaches.
  • Focus on spatial multi-omics and AI-driven pathology.
  • Exploration of immune-vascular normalization and physiological conditioning.

Main Results:

  • A framework that views cancer therapy as reprogramming of disease-sustaining networks.
  • Identification of novel strategies to restore physiological balance.
  • Integration of local tumor biology with systemic host factors for therapeutic design.

Conclusions:

  • An integrative vision for precision oncology is presented.
  • Bridging discovery and intervention is key to achieving durable cancer therapy.
  • Reprogramming cellular, vascular, and systemic networks offers a path toward curative cancer treatment.