TY - JOUR AU - Bai, Fang AU - Wei, Chuanchao AU - Zhang, Peng AU - Bi, Dexi AU - Ge, Meixin AU - Chen, Qing AU - Jia, Yijun AU - Lu, Yunshu AU - Wu, Kejin PY - 2018 TI - Use of peripheral lymphocytes and support vector machine for survival prediction in breast cancer patients JF - Translational Cancer Research; Vol 7, No 4 (August 31, 2018): Translational Cancer Research Y2 - 2018 KW - N2 - Background: This study aimed to identify the influence of peripheral lymphocytes on prognosis and find prognostic markers for breast cancer patients. Methods: This study enrolled invasive breast cancer patients and they were followed-up for median 4-years over telephone. Distributions of disease-free survival (DFS) and overall survival (OS) between different levels of lymphocytes were estimated with the Kaplan-Meier (K-M) method. Support vector machine (SVM) methods were used to develop a prognostic classifier for breast cancer. Results: A total of 190 patients were enrolled. Patients with low level of cluster of differentiation (CD)3+ lymphocytes had worse DFS and OS (P Conclusions: Patients with low level of CD3+ lymphocytes could have a poorer survival and the SVM method could predict prognosis in breast cancer patients. UR - https://tcr.amegroups.org/article/view/23195