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Related Experiment Video

Updated: Sep 30, 2025

Orthotopic Injection of Breast Cancer Cells into the Mammary Fat Pad of Mice to Study Tumor Growth.
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Cancer progression as a learning process.

Aseel Shomar1,2, Omri Barak3,2, Naama Brenner1,2

  • 1Department of Chemical Engineering, Israel Institute of Technology, Haifa 32000, Israel.

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|March 10, 2022
PubMed
Summary
This summary is machine-generated.

Cancer cells adapt to stress through learning, not just Darwinian evolution. This trial-and-error process explains drug resistance and metastasis, offering new insights into cancer progression.

Keywords:
Cancer systems biologyEvolutionary theories

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Area of Science:

  • * Cellular and Molecular Biology
  • * Cancer Research
  • * Theoretical Biology

Background:

  • * Drug resistance and metastasis are critical challenges in cancer treatment.
  • * Current understanding, primarily Darwinian evolution, inadequately explains adaptive features like dormancy and plasticity.
  • * These adaptive processes exhibit similarities that require alternative explanatory frameworks.

Purpose of the Study:

  • * To propose learning theory as a novel framework for understanding cancer cell adaptation.
  • * To explain key features of drug resistance and metastasis, including dormancy, heterogeneity, and plasticity.
  • * To investigate the feasibility of single-cell learning mechanisms in complex biological systems.

Main Methods:

  • * Review of underlying biological mechanisms supporting stress-induced cellular adaptation.
  • * Development and application of a computational learning model to simulate cellular behavior.
  • * Conceptualization of tissue as a network of exploring agents.

Main Results:

  • * Learning theory, based on stress-driven exploratory trial-and-error, provides a viable explanation for cancer cell adaptation.
  • * Single-cell learning is feasible even in high-dimensional cellular systems.
  • * Tissue homeostasis is maintained by communication between exploring cellular agents.

Conclusions:

  • * Cancer adaptation, drug resistance, and metastasis can be understood through the lens of cellular learning.
  • * Disease arises from a disruption of the balance between cellular exploration and tissue stability.
  • * This framework offers new perspectives for therapeutic strategies targeting cancer progression.