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Observational Study
. 2021 Feb 5;100(5):e23693.
doi: 10.1097/MD.0000000000023693.

Effects of clinicopathological factors on prognosis of young patients with resected breast cancer

Wen Li  1 , Yunfu Deng  1 , Qiang Wu  1 , Wenjie Chen  1 , Zhengkun Liu  1 , Ting Wang  1 , Cheng Ai  1 , Fang Chen  2 , Zhu Wang  3 , Guangzhi Ma  1 , Qinghua Zhou  1
Affiliations
Observational Study

Effects of clinicopathological factors on prognosis of young patients with resected breast cancer

Wen Li et al. Medicine (Baltimore). .

Abstract

This study aims to analyze the relationship between clinicopathological characteristics and survival in young patients (≤35 years old) with resected breast cancer.A total of 173 cases were included in this study. The clinicopathological factors potentially associated with prognosis were evaluated. Furthermore, we categorized patients into different groups to evaluate the prognosis according to hormone receptor status or important risk factors.Younger age (≤30 years) was an independent predictor for poor disease-free survival (DFS) and overall survival (OS). Besides, PR negative status, tumor grade, and advanced lymph nodes postsurgery were independent prognostic factors of DFS, while PR negative status and advanced lymph nodes postsurgery were independent prognostic factors of OS. For hormone receptor-positive patients, people with ER+ or PR+ and HER2-/+ showed poorer prognosis than the other 2 levels. Risk factor grouping based on the ER, PR, HER2, Ki-67 status, tumor grade, and lymph nodes postsurgery showed that patients in highest score group received the poorest prognosis. Grading system based on the hormone status or the risk factor grouping may offer a useful approach to assess which subgroups of young breast cancer present poorer prognosis.

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Conflict of interest statement

The authors have no conflicts of interests to disclose.

Figures

Figure 1
Figure 1
Kaplan-Meier survival analyses of correlations between age and survival among breast cancer patients: DFS (A) and OS (B).
Figure 2
Figure 2
ER, PR, HER2 status and survival. Kaplan–Meier survival analysis on DFS (A) in accordance with ER, PR, and HER2 status. Kaplan–Meier survival analysis on OS (B) in accordance with ER, PR, and HER2 status.
Figure 3
Figure 3
Risk factor grouping and survival: DFS by Kaplan–Meier survival analysis (A) in accordance with risk factor grouping. OS by Kaplan–Meier survival analysis (B) in accordance with risk factor grouping.
See this image and copyright information in PMC

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