J Cancer 2020; 11(19):5782-5791. doi:10.7150/jca.46183 This issue

Research Paper

Conditional Survival of female patients with operable invasive Breast Cancer in US: A population-based study

Bolun Ai, Xiangyu Wang, Xiangyi Kong, Zhongzhao Wang, Yi Fang, Jing Wang

Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical and Peking Union Medical College, No. 17 Panjiayuan-Nanli, Chaoyang District, Beijing 100021, P.R. China.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Citation:
Ai B, Wang X, Kong X, Wang Z, Fang Y, Wang J. Conditional Survival of female patients with operable invasive Breast Cancer in US: A population-based study. J Cancer 2020; 11(19):5782-5791. doi:10.7150/jca.46183. Available from https://www.jcancer.org/v11p5782.htm

File import instruction

Abstract

Background: Conditional survival (CS) is used to describe the dynamic possibility of survival, considering the changes of death risk with time lapsing. This study aimed to estimate the conditional disease-specific survival (CDS) for the female with operable invasive breast cancer.

Methods: The data was obtained from Surveillance, Epidemiology, and End Result Program of the National Cancer Institute. The hazard rate was calculated using kernel density smoothing method. The disease-specific survival (DSS) rates were estimated and compared using Kaplan-Meier method and log-rank test. The Cox regression model was used to adjust confounding factors. The CDS was calculated by CDS(y|x)=DSS(x + y)/DSS(x), where DSS(x) representatives the DSS at x year.

Results: The 5-year, 10-year, and 15-year DSS was 88.7%, 82.0%, and 78.3%, respectively. The hazard rate after surgery increased initially and peaked at about 1.5 years, then decreased gradually. Meanwhile, the CDS decreased just after surgery then increased continuously, which showed a contrary trend with hazard rate. Patients with high risk factors had greater survival gap between cumulative DSS and CDS. The changing trend of CDS in patients with high risk factors was more significant, and the CDS gap between low-risk patients and high-risk patients gradually decreased over time.

Conclusion: CS could provide a more precise long-term prognostic evaluation compared to traditional cumulative survival, especially for long-time survivors with high risk.

Keywords: Invasive breast cancer, Disease-specific survival, Conditional survival, SEER database