Nonlinear progression during the occult transition establishes cancer lethality

dc.contributor.author

Ginzel, Joshua D

dc.contributor.author

Chapman, Henry

dc.contributor.author

Sills, Joelle E

dc.contributor.author

Allen, Edwin J

dc.contributor.author

Barak, Lawrence S

dc.contributor.author

Cardiff, Robert D

dc.contributor.author

Borowsky, Alexander D

dc.contributor.author

Lyerly, Herbert Kim

dc.contributor.author

Rogers, Bruce W

dc.contributor.author

Snyder, Joshua C

dc.date.accessioned

2025-03-19T18:02:02Z

dc.date.available

2025-03-19T18:02:02Z

dc.date.issued

2025-03-01

dc.description.abstract

<jats:title>ABSTRACT</jats:title> <jats:p>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.</jats:p>

dc.identifier.issn

1754-8403

dc.identifier.issn

1754-8411

dc.identifier.uri

https://hdl.handle.net/10161/32130

dc.language

en

dc.publisher

The Company of Biologists

dc.relation.ispartof

Disease Models & Mechanisms

dc.relation.isversionof

10.1242/dmm.052113

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.title

Nonlinear progression during the occult transition establishes cancer lethality

dc.type

Journal article

duke.contributor.orcid

Ginzel, Joshua D|0000-0001-5635-7314

duke.contributor.orcid

Lyerly, Herbert Kim|0000-0002-0063-4770

duke.contributor.orcid

Rogers, Bruce W|0000-0002-4296-7645

duke.contributor.orcid

Snyder, Joshua C|0000-0002-9787-3371

pubs.issue

3

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Student

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Institutes and Centers

pubs.organisational-group

Cell Biology

pubs.organisational-group

Integrative Immunobiology

pubs.organisational-group

Pharmacology & Cancer Biology

pubs.organisational-group

Pathology

pubs.organisational-group

Surgery

pubs.organisational-group

Surgery, Surgical Sciences

pubs.organisational-group

Duke Cancer Institute

pubs.organisational-group

University Initiatives & Academic Support Units

pubs.organisational-group

University Institutes and Centers

pubs.organisational-group

Duke Global Health Institute

pubs.organisational-group

Initiatives

pubs.organisational-group

Duke Regeneration Center

pubs.organisational-group

Duke-Margolis Institute for Health Policy

pubs.publication-status

Published

pubs.volume

18

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
dmm052113.pdf
Size:
8.77 MB
Format:
Adobe Portable Document Format
Description:
Published version