Abstract：Objective: To analyze the prognostic factors of breast cancer-specific and non-breast cancer-specific deaths in elderly female breast cancer patients, using a competing risk model based on the SEER database. Methods: Female breast cancer patients aged ≥70 years were selected from 2006 to 2010 in the SEER database, and the “cmprsk” package in the R statistical software was used to perform univariate and multivariate analysis of the competing risk model. Results: A total of 31 823 elderly patients were included in the study, and 13 075 died during follow-up. Among them, 3 735 died from breast cancer, and 9 340 died from non-breast cancer causes. The 1-, 3-, and 5-year breast cancer-specific mortality rates were 1.47%, 5.39% and 8.71%, respectively; and the non-breast cancer mortality rates were 2.17%, 8.49% and 15.79%, respectively. The results of multivariate analysis showed that advanced age, single status, black race, estrogen receptor positivity, poorly differentiated, advanced T and N stages and no radiotherapy were independent poor prognostic factors affecting the cause of breast cancer death in elderly patients; advanced age, single status, estrogen receptor positivity, advanced T stage and other factors were independent poor prognostic factors affecting non-breast cancer death in elderly patients. Conclusion: Elderly breast cancer patients are more likely to die from non-breast cancer than from breast cancer, and their radiotherapy could reduce breast cancer-specific and non-specific breast cancer deaths.
［Key words］elderly; breast cancer; SEER database; estrogen receptor; competing risk model; prognostic factors
程梅莲, 孙闻, 李小琴, 等. 基于SEER数据库分析老年乳腺癌患者预后相关因素[J]. 江苏大学学报:医学版, 2022, 32(03): 251-255.
CHENG Meilian, SUN Wen, LI Xiaoqin, et al.. Analysis of prognostic factors in elderly breast cancer patients based on SEER database. Journal of Jiangsu University(Medicine Edition), 2022, 32(03): 251-255.
