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AAnet AI Framework Reveals Five Cancer Cell Archetypes

Researchers will monitor the dynamics of these cell archetypes during treatment to guide targeted therapies.

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Overview

  • AAnet employs deep learning to detect continuous patterns in single-cell gene expression and map tumor cell heterogeneity.
  • The tool distinguished five cancer cell archetypes in breast tumors, each exhibiting unique gene expression signatures linked to proliferation, metastasis, and resistance.
  • Archetype-based classification could enable oncologists to design combination therapies tailored to each cell group’s molecular vulnerabilities.
  • Beyond breast cancer, the framework has potential for characterizing cellular diversity in other cancers and heterogeneity-driven diseases.
  • Researchers will conduct longitudinal studies to track the evolution of these archetypes before and after treatments and advance targeted therapy strategies.