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Worldwide Innovative Network (WIN) Consortium in Personalized Cancer Medicine: Bringing next-generation precision

Wafik S El-Deiry1,2, Catherine Bresson1, Fanny Wunder1

  • 1Worldwide Innovative Network (WIN) Association - WIN Consortium, Chevilly-Larue, France.

Oncotarget
|March 12, 2025
PubMed

Insights

The Worldwide Innovative Network (WIN) Consortium advances precision oncology by using artificial intelligence and molecular tumor boards to guide N-of-1 trials, demonstrating patient benefit from targeted cancer therapies.

Area of Science:

  • Genomic Medicine
  • Oncology
  • Bioinformatics

Background:

  • The human genome project initiated the genomic medicine era, enabling targeted cancer therapies.
  • Precision oncology aims to minimize ineffective treatments and reduce toxicity, including financial and time burdens.
  • The Worldwide Innovative Network (WIN) Consortium was founded to drive innovation and collaboration in personalized cancer medicine.

Purpose of the Study:

  • To demonstrate patient benefit from precision therapeutics through N-of-1 molecularly-driven studies.
  • To develop next-generation precision oncology trials incorporating advanced technologies and diverse patient populations.
  • To address challenges in precision oncology, including drug access, costs, and regulatory barriers.

Main Methods:

  • Utilizing transcriptomic signatures and artificial intelligence (AI) algorithms.
  • Conducting global precision cancer medicine clinical trials with international Molecular Tumor Board (MTB) input.
  • Employing N-of-1 molecularly-driven studies to assess patient benefit from precision therapeutics.

Main Results:

  • WIN has successfully demonstrated patient benefit from precision therapeutics via N-of-1 studies.
  • WIN Next-Generation Precision Oncology (WINGPO) trials are being developed for various cancer settings.
  • WIN collaborates with diverse stakeholders to overcome precision oncology challenges.

Conclusions:

  • WIN's approach accelerates the future of precision oncology care.
  • Collaborative efforts are crucial for advancing personalized cancer treatment globally.
  • AI and MTB-guided trials based on comprehensive omics data will guide treatment selection for advanced cancers.
Keywords:
AI algorithmsN-of-1 basket trialsdigital pathologydrug accessprecision oncology

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