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Published in: Breast Cancer Research 1/2020

01-12-2020 | Breast Cancer | Research article

Modeling the natural history of ductal carcinoma in situ based on population data

Authors: Sarocha Chootipongchaivat, Nicolien T. van Ravesteyn, Xiaoxue Li, Hui Huang, Harald Weedon-Fekjær, Marc D. Ryser, Donald L. Weaver, Elizabeth S. Burnside, Brandy M. Heckman-Stoddard, Harry J. de Koning, Sandra J. Lee

Published in: Breast Cancer Research | Issue 1/2020

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Abstract

Background

The incidence of ductal carcinoma in situ (DCIS) has increased substantially since the introduction of mammography screening. Nevertheless, little is known about the natural history of preclinical DCIS in the absence of biopsy or complete excision.

Methods

Two well-established population models evaluated six possible DCIS natural history submodels. The submodels assumed 30%, 50%, or 80% of breast lesions progress from undetectable DCIS to preclinical screen-detectable DCIS; each model additionally allowed or prohibited DCIS regression. Preclinical screen-detectable DCIS could also progress to clinical DCIS or invasive breast cancer (IBC). Applying US population screening dissemination patterns, the models projected age-specific DCIS and IBC incidence that were compared to Surveillance, Epidemiology, and End Results data. Models estimated mean sojourn time (MST) in the preclinical screen-detectable DCIS state, overdiagnosis, and the risk of progression from preclinical screen-detectable DCIS.

Results

Without biopsy and surgical excision, the majority of DCIS (64–100%) in the preclinical screen-detectable state progressed to IBC in submodels assuming no DCIS regression (36–100% in submodels allowing for DCIS regression). DCIS overdiagnosis differed substantially between models and submodels, 3.1–65.8%. IBC overdiagnosis ranged 1.3–2.4%. Submodels assuming DCIS regression resulted in a higher DCIS overdiagnosis than submodels without DCIS regression. MST for progressive DCIS varied between 0.2 and 2.5 years.

Conclusions

Our findings suggest that the majority of screen-detectable but unbiopsied preclinical DCIS lesions progress to IBC and that the MST is relatively short. Nevertheless, due to the heterogeneity of DCIS, more research is needed to understand the progression of DCIS by grades and molecular subtypes.
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Metadata
Title
Modeling the natural history of ductal carcinoma in situ based on population data
Authors
Sarocha Chootipongchaivat
Nicolien T. van Ravesteyn
Xiaoxue Li
Hui Huang
Harald Weedon-Fekjær
Marc D. Ryser
Donald L. Weaver
Elizabeth S. Burnside
Brandy M. Heckman-Stoddard
Harry J. de Koning
Sandra J. Lee
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 1/2020
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-020-01287-6

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