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Article type: Research Article
Authors: Wang, Leia; 1 | Zhou, Yehuia; 1 | Xia, Suhuab | Lu, Linlina | Dai, Tiantiana | Li, Aoshuanga | Chen, Yana; * | Gao, Erlia; *
Affiliations: [a] Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China | [b] Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
Correspondence: [*] Corresponding authors: Yan Chen and Erli Gao, Department of General Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu, 215000, China. Tel.: +86 512 67780746; E-mails: walves@suda.edu.cn and choleko@163.com.
Note: [1] These authors contributed equally to this work.
Abstract: BACKGROUND: The new systemic inflammation response index (SIRI) constructed based on neutrophil, monocyte and lymphocyte counts in peripheral blood is considered to be related to the prognosis of a variety of tumours. OBJECTIVE: To evaluate the prognostic value of the SIRI in operable breast cancer patients and establish a nomogram to predict the survival of breast cancer patients. METHODS: A total of 949 patients with operable breast cancer were enrolled in the present study. RESULTS: The overall survival (OS) of breast cancer patients with SIRI ⩽ 0.65 was significantly higher than that of breast cancer patients with SIRI > 0.65 (P< 0.001). A nomogram generated based on SIRI, grade and TNM stage and SIRI predicted the 5- and 10-year survival rates of breast cancer patients more accurately than TNM stage alone. In addition, the change in SIRI relative to baseline at 4 weeks after surgery was closely related to the survival of breast cancer patients. Compared with those with no SIRI changes (absolute value of variation < 25%), breast cancer patients with an increase in SIRI > 75% or 25–75% had worse OS (P< 0.001). CONCLUSIONS: The SIRI before and after surgery is closely related to the prognosis of breast cancer patients.
Keywords: SIRI, breast cancer, prognosis
DOI: 10.3233/CBM-201682
Journal: Cancer Biomarkers, vol. 28, no. 4, pp. 537-547, 2020
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