Leveraging the variable natural history of ductal carcinoma in situ (DCIS) to select optimal therapy

2018 ◽  
Vol 174 (2) ◽  
pp. 307-313
Author(s):  
Kristin E. Rojas ◽  
Thais A. Fortes ◽  
Patrick I. Borgen
Keyword(s):  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Optimal Therapy ◽  
History Of

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

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Sarocha Chootipongchaivat ◽  
Nicolien T. van Ravesteyn ◽  
Xiaoxue Li ◽  
Hui Huang ◽  
Harald Weedon-Fekjær ◽  
...  
Keyword(s):  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Population Data ◽  
History Of

The natural history of ductal carcinoma in situ of the breast: a review

2005 ◽  
Vol 97 (2) ◽  
pp. 135-144 ◽  
Author(s):  
Bircan Erbas ◽  
Elena Provenzano ◽  
Jane Armes ◽  
Dorota Gertig
Keyword(s):  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
History Of

scholarly journals Continued observation of the natural history of low-grade ductal carcinoma in situ reaffirms proclivity for local recurrence even after more than 30 years of follow-up

2014 ◽  
Vol 28 (5) ◽  
pp. 662-669 ◽  
Author(s):  
Melinda E Sanders ◽  
Peggy A Schuyler ◽  
Jean F Simpson ◽  
David L Page ◽  
William D Dupont
Keyword(s):  
Local Recurrence ◽  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Low Grade ◽  
History Of

The natural history of low-grade ductal carcinoma in situ of the breast in women treated by biopsy only revealed over 30 years of long-term follow-up

Cancer ◽  
2005 ◽  
Vol 103 (12) ◽  
pp. 2481-2484 ◽  
Author(s):  
Melinda E. Sanders ◽  
Peggy A. Schuyler ◽  
William D. Dupont ◽  
David L. Page
Keyword(s):  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Low Grade ◽  
Long Term Follow Up ◽  
History Of

Ductal Carcinoma In Situ and Progression to Invasive Cancer: A Review of the Evidence

2021 ◽  
Author(s):  
Samantha L Heller ◽  
Anastasia Plaunova ◽  
Yiming Gao
Keyword(s):  
Breast Cancer ◽  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Biopsy Specimen ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Population Based ◽  
History Of ◽  
Patient Prognosis

Abstract Ductal carcinoma in situ (DCIS), breast cancer confined to the milk ducts, is a heterogeneous entity. The question of how and when a case of DCIS will extend beyond the ducts to become invasive breast cancer has implications for both patient prognosis and optimal treatment approaches. The natural history of DCIS has been explored through a variety of methods, from mouse models to biopsy specimen reviews to population-based screening data to modeling studies. This article will review the available evidence regarding progression pathways and will also summarize current trials designed to assess DCIS progression.

scholarly journals Natural history of ductal carcinoma in situ

Mastology ◽  
2018 ◽  
Vol 28 (2) ◽  
pp. 114-118
Author(s):  
Nayara Alves de Freitas Lemos ◽  
◽  
Ruffo Freitas- Junior ◽  
Marise Amaral Rebouças Moreira ◽  
Fábio Francisco Oliveira Rodrigues ◽  
...  
Keyword(s):  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
History Of

scholarly journals Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches

2018 ◽  
Vol 38 (1_suppl) ◽  
pp. 126S-139S ◽  
Author(s):  
Nicolien T. van Ravesteyn ◽  
Jeroen J. van den Broek ◽  
Xiaoxue Li ◽  
Harald Weedon-Fekjær ◽  
Clyde B. Schechter ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Natural History ◽  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Breast Cancer Mortality ◽  
Model Parameters ◽  
Modeling Approaches ◽  
History Of

Background. Ductal carcinoma in situ (DCIS) can be a precursor to invasive breast cancer. Since the advent of screening mammography in the 1980’s, the incidence of DCIS has increased dramatically. The value of screen detection and treatment of DCIS, however, is a matter of controversy, as it is unclear the extent to which detection and treatment of DCIS prevents invasive disease and reduces breast cancer mortality. The aim of this paper is to provide an overview of existing Cancer Intervention and Surveillance Modelling Network (CISNET) modeling approaches for the natural history of DCIS, and to compare these to other modeling approaches reported in the literature. Design. Five of the 6 CISNET models currently include DCIS. Most models assume that some, but not all, lesions progress to invasive cancer. The natural history of DCIS cannot be directly observed and the CISNET models differ in their assumptions and in the data sources used to estimate the DCIS model parameters. Results. These model differences translate into variation in outcomes, such as the amount of overdiagnosis of DCIS, with estimates ranging from 34% to 72% for biennial screening from ages 50 to 74 y. The other models described in the literature also report a large range in outcomes, with progression rates varying from 20% to 91%. Limitations. DCIS grade was not yet included in the CISNET models. Conclusion. In the future, DCIS data by grade from active surveillance trials, the development of predictive markers of progression probability, and evidence from other screening modalities, such as tomosynthesis, may be used to inform and improve the models’ representation of DCIS, and might lead to convergence of the model estimates. Until then, the CISNET model results consistently show a considerable amount of overdiagnosis of DCIS, supporting the safety and value of observational trials for low-risk DCIS.

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