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Evaluation of a Breast Cancer Nomogram for Predicting Risk of Ipsilateral Breast Tumor Recurrences in Patients With Ductal Carcinoma in Situ After Local Excision

Authors :
Anthony Lucci
Isabelle Bedrosian
Rosa F. Hwang
Kelly K. Hunt
Sheng Luo
Min Yi
Elizabeth A. Mittendorf
Henry Mark Kuerer
Funda Meric-Bernstam
Jaime R. Crow
Source :
Journal of Clinical Oncology. 30:600-607
Publication Year :
2012
Publisher :
American Society of Clinical Oncology (ASCO), 2012.

Abstract

Purpose Prediction of patients at highest risk for ipsilateral breast tumor recurrence (IBTR) after local excision of ductal carcinoma in situ (DCIS) remains a clinical concern. The aim of our study was to evaluate a published nomogram from Memorial Sloan-Kettering Cancer Center to predict for risk of IBTR in patients with DCIS from our institution. Patients and Methods We retrospectively identified 794 patients with a diagnosis of DCIS who had undergone local excision from 1990 through 2007 at the MD Anderson Cancer Center (MDACC). Clinicopathologic factors and the performance of the Memorial Sloan-Kettering Cancer Center nomogram for prediction of IBTR were assessed for 734 patients who had complete data. Results There was a marked difference with respect to tumor grade, prevalence of necrosis, initial presentation, final margins, and receipt of endocrine therapy between the two cohorts. The biggest difference was that more patients received radiation in the MDACC cohort (75% at MDACC v 49% at MSKCC; P < .001). Follow-up time in the MDACC cohort was longer than in the MSKCC cohort (median 7.1 years v 5.6 years), and the recurrence rate was lower in the MDACC cohort (7.9% v 11%). The median 5-year probability of recurrence was 5%, and the median 10-year probability of recurrence was 7%. The nomogram for prediction of 5- and 10-year IBTR probabilities demonstrated imperfect calibration and discrimination, with a concordance index of 0.63. Conclusion Predictive models for IBTR in patients with DCIS who were treated with local excision are imperfect. Our current ability to accurately predict recurrence on the basis of clinical parameters alone is limited.

Details

ISSN :
15277755 and 0732183X
Volume :
30
Database :
OpenAIRE
Journal :
Journal of Clinical Oncology
Accession number :
edsair.doi.dedup.....a30d312bfd6c9e07022b73b689d9ee72
Full Text :
https://doi.org/10.1200/jco.2011.36.4976