Skip to main content
Journal cover image

Nonlinear progression during the occult transition establishes cancer lethality.

Publication ,  Journal Article
Ginzel, JD; Chapman, H; Sills, JE; Allen, EJ; Barak, LS; Cardiff, RD; Borowsky, AD; Lyerly, HK; Rogers, BW; Snyder, JC
Published in: Dis Model Mech
March 1, 2025

Cancer screening relies upon a linear model of neoplastic growth and progression. Yet, historical observations suggest that malignant progression is uncoupled from growth, which may explain the paradoxical increase in early-stage breast cancer detection without a dramatic reduction in metastasis. Here, we lineage trace millions of transformed cells and thousands of tumors using a cancer rainbow mouse model of HER2 (also known as ERBB2)-positive breast cancer. Transition rates from field cell to screen-detectable tumor to symptomatic tumor were estimated from a dynamical model of tumor development. Field cells were orders of magnitude less likely to transition to a screen-detectable tumor than the subsequent transition from screen-detectable tumor to symptomatic tumor. Our model supports a critical 'occult' transition in tumor development during which a transformed cell becomes a bona fide neoplasm. Lineage tracing and test by transplantation revealed that nonlinear progression during the occult transition gives rise to nascent lethal cancers at screen detection. Simulations illustrated how occult transition rates are a critical determinant of tumor growth and malignancy. Our data provide direct experimental evidence that cancers can deviate from the predictable linear progression model that is foundational to current screening paradigms.

Duke Scholars

Published In

Dis Model Mech

DOI

EISSN

1754-8411

Publication Date

March 1, 2025

Volume

18

Issue

3

Location

England

Related Subject Headings

  • Receptor, erbB-2
  • Receptor, ErbB-2
  • Nonlinear Dynamics
  • Models, Biological
  • Mice
  • Humans
  • Female
  • Disease Progression
  • Developmental Biology
  • Computer Simulation
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ginzel, J. D., Chapman, H., Sills, J. E., Allen, E. J., Barak, L. S., Cardiff, R. D., … Snyder, J. C. (2025). Nonlinear progression during the occult transition establishes cancer lethality. Dis Model Mech, 18(3). https://doi.org/10.1242/dmm.052113
Ginzel, Joshua D., Henry Chapman, Joelle E. Sills, Edwin J. Allen, Lawrence S. Barak, Robert D. Cardiff, Alexander D. Borowsky, Herbert Kim Lyerly, Bruce W. Rogers, and Joshua C. Snyder. “Nonlinear progression during the occult transition establishes cancer lethality.Dis Model Mech 18, no. 3 (March 1, 2025). https://doi.org/10.1242/dmm.052113.
Ginzel JD, Chapman H, Sills JE, Allen EJ, Barak LS, Cardiff RD, et al. Nonlinear progression during the occult transition establishes cancer lethality. Dis Model Mech. 2025 Mar 1;18(3).
Ginzel, Joshua D., et al. “Nonlinear progression during the occult transition establishes cancer lethality.Dis Model Mech, vol. 18, no. 3, Mar. 2025. Pubmed, doi:10.1242/dmm.052113.
Ginzel JD, Chapman H, Sills JE, Allen EJ, Barak LS, Cardiff RD, Borowsky AD, Lyerly HK, Rogers BW, Snyder JC. Nonlinear progression during the occult transition establishes cancer lethality. Dis Model Mech. 2025 Mar 1;18(3).
Journal cover image

Published In

Dis Model Mech

DOI

EISSN

1754-8411

Publication Date

March 1, 2025

Volume

18

Issue

3

Location

England

Related Subject Headings

  • Receptor, erbB-2
  • Receptor, ErbB-2
  • Nonlinear Dynamics
  • Models, Biological
  • Mice
  • Humans
  • Female
  • Disease Progression
  • Developmental Biology
  • Computer Simulation