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Abstract P5-13-07: Conditional disease-free survival among patients with breast cancer

Authors :
Song Ee Park
H-J Paik
S Lee
Sy Bae
Je Lee
SW Kim
SJ Nam
Isaac Kim
Jonghan Yu
Jai Min Ryu
Source :
Cancer Research. 77:P5-13
Publication Year :
2017
Publisher :
American Association for Cancer Research (AACR), 2017.

Abstract

Background: Conditional disease-free survival (CDFS) reflects changes over time. Because traditional disease-free survival (DFS) is estimated from the date of diagnosis, it is limited in the ability to predict risk of recurrence in patients who have been disease free. In this study, we determined CDFS of breast cancer patients and estimated the prognostic factors for DFS. Method: We retrospectively reviewed clinical data of 7587 consecutive patients who underwent curative surgery for breast cancer between January 2004 and December 2013 at Samsung Medical Center. Univariate and multivariate analyses were performed to identify risk factors for DFS, which was computed using the Kaplan–Meier method. CDFS rates were based on cumulative DFS estimates. Results: Median follow-up duration was 20.44 months. Three-year DFS was 93.46 percent at baseline. Three-year CDFS survival estimates for patients who had been disease free for 1, 2, 3, 4 and 5 years after treatment were calculated as 92.84, 92.37, 93.03, 89.41, and 79.64 percent, respectively. Three-year CDFS increased continuously each year after 1 year of DFS in hormone receptor (HR)-negative patients but decreased each year in HR-positive patients. Conclusion: In HR-positive patients who are disease free after 3 years, continuous care including surveillance and metastases workup should be considered, although this is not recommended in the current guidelines. On the other hand, the social costs may be reduced in HR-negative patients by extending the surveillance interval. Further studies are needed to identify indicators of DFS prognosis in breast cancer patients.Background: Conditional disease-free survival (CDFS) reflects changes over time. Because traditional disease-free survival (DFS) is estimated from the date of diagnosis, it is limited in the ability to predict risk of recurrence in patients who have been disease free. In this study, we determined CDFS of breast cancer patients and estimated the prognostic factors for DFS. Method: We retrospectively reviewed clinical data of 7587 consecutive patients who underwent curative surgery for breast cancer between January 2004 and December 2013 at Samsung Medical Center. Univariate and multivariate analyses were performed to identify risk factors for DFS, which was computed using the Kaplan–Meier method. CDFS rates were based on cumulative DFS estimates. Results: Median follow-up duration was 20.44 months. Three-year DFS was 93.46 percent at baseline. Three-year CDFS survival estimates for patients who had been disease free for 1, 2, 3, 4 and 5 years after treatment were calculated as 92.84, 92.37, 93.03, 89.41, and 79.64 percent, respectively. Three-year CDFS increased continuously each year after 1 year of DFS in hormone receptor (HR)-negative patients but decreased each year in HR-positive patients. Conclusion: In HR-positive patients who are disease free after 3 years, continuous care including surveillance and metastases workup should be considered, although this is not recommended in the current guidelines. On the other hand, the social costs may be reduced in HR-negative patients by extending the surveillance interval. Further studies are needed to identify indicators of DFS prognosis in breast cancer patients. Citation Format: Paik H-J, Lee SK, Park S, Ryu JM, Kim I, Bae SY, Yu J, Lee JE, Kim SW, Nam SJ. Conditional disease-free survival among patients with breast cancer [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P5-13-07.

Details

ISSN :
15387445 and 00085472
Volume :
77
Database :
OpenAIRE
Journal :
Cancer Research
Accession number :
edsair.doi...........c79a4d5b8c14f7506e85e005c81bfe6d
Full Text :
https://doi.org/10.1158/1538-7445.sabcs16-p5-13-07