Extracellular vesicles as systems-level regulators of tumor progression: Integrating signaling networks,

Deepthi Maria Mathew1, Ankit Kumar Bharti S1, Anirban Goutam Mukherjee2

  • 1Department of Bio-Medical Sciences, School of Bio Sciences & Technology, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India.

Insights

Extracellular vesicles (EVs) are key regulators of cancer progression, integrating signaling networks and the tumor microenvironment. This review highlights their roles in tumor growth, metastasis, and therapy resistance, offering insights for diagnostics and drug delivery.

Area of Science:

  • Oncology and Cell Biology
  • Cancer Research
  • Intercellular Communication

Background:

  • Extracellular vesicles (EVs) were once dismissed as cellular debris.
  • They are now recognized as critical mediators of intercellular communication in cancer.
  • EVs integrate complex signaling networks and tumor microenvironment cues to drive oncogenic responses.

Purpose of the Study:

  • To provide a systems-level framework for understanding EV-mediated cancer progression.
  • To link EV signaling, microenvironmental remodeling, angiogenesis, metastasis, and therapy resistance.
  • To emphasize the functional roles of EVs in coordinating cancer progression.

Main Methods:

  • Review of existing literature on EV biology and function in cancer.
  • Mechanistically focused overview of EV biogenesis and cargo transfer.
  • Analysis of EV roles in oncogenic signaling pathways (e.g., PI3K/Akt, Wnt/β-catenin, TGF-β).

Main Results:

  • EVs transfer bioactive cargo, modulating key oncogenic pathways driving proliferation and invasion.
  • EVs reprogram the tumor microenvironment, promoting angiogenesis, immune modulation, and pre-metastatic niche formation.
  • EVs contribute to therapy resistance through drug efflux and horizontal transfer of resistance molecules.

Conclusions:

  • EVs act as systems-level regulators, integrating diverse processes to drive tumor progression.
  • EVs are implicated in cancer diagnosis, prognosis, and targeted drug delivery, despite technical challenges.
  • Understanding EV networks is crucial for developing novel cancer therapies.

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