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Viability Assays for Cells in Culture
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Published on: January 20, 2014

Hormesis without cell killing.

Louis Anthony Tony Cox1

  • 1Cox Associates and University of Colorado, 503 Franklin St., Denver, CO 80218, USA. tcoxdenver@aol.com

Risk Analysis : an Official Publication of the Society for Risk Analysis
|September 17, 2008
PubMed
Summary
This summary is machine-generated.

Stochastic two-stage clonal expansion models explain U-shaped cancer dose-response curves by cell killing. New models show that hastening cancer transitions, not cell killing, can also create U-shaped or J-shaped dose-response relations.

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Area of Science:

  • Carcinogenesis research
  • Mathematical modeling of cancer
  • Toxicology and dose-response relationships

Background:

  • Stochastic two-stage clonal expansion (TSCE) models traditionally explain U-shaped cancer dose-response relations via cell killing at low doses.
  • This protective effect is overcome by increased initiated cells at higher doses, resulting in U- or J-shaped curves.

Purpose of the Study:

  • To investigate alternative mechanisms for U-shaped and J-shaped cancer dose-response relations.
  • To explore how exposures that hasten cancer transitions, without killing cells, can influence dose-response curves.

Main Methods:

  • Utilized a modified TSCE framework incorporating competing risks.
  • Developed quantitative models to analyze competing effects of accelerated transitions toward carcinogenesis and shifts to slower carcinogenic pathways.
  • Examined dose-response relations under conditions where cell populations are not decreased.

Main Results:

  • Demonstrated that exposures hastening cancer transitions, without cell killing, can generate U-shaped and J-shaped dose-response relations.
  • Showed that a J-shaped curve can occur even if exposure increases initiated cells at all positive doses.
  • Highlighted the role of time, where age-dependent risk increases can lead to U- or J-shaped lifetime cancer risk.

Conclusions:

  • Proposes a novel explanation for hormetic dose-response relationships in carcinogenesis, independent of cell-killing effects.
  • Suggests that the timing and nature of accelerated transitions are critical in determining hormetic effects.
  • Emphasizes the importance of considering competing risks and temporal dynamics in cancer modeling.