Increased derived neutrophil-to-lymphocyte ratio and Breast Imaging-Reporting and Data System classification predict poor survival in patients with non-distant metastatic HER2+ breast cancer treated with neoadjuvant chemotherapy
Authors Li Y, Shao Y, Bai L, Zhou X
Received 17 May 2018
Accepted for publication 16 July 2018
Published 24 September 2018 Volume 2018:10 Pages 3841—3847
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 2
Editor who approved publication: Dr Antonella D'Anneo
Yuyong Li,1,* Yi Shao,2,* Lishan Bai,3 Xingwei Zhou4
1Department of Radiology, The Third People’s Hospital of Bengbu, Bengbu, Anhui, China; 2Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China; 3Department of General Surgery, The Third People’s Hospital of Bengbu, Bengbu, Anhui, China; 4Department of Ultrasound, Ankang Hospital of Traditional Chinese Medicine, Ankang, Shanxi, China
*These authors contributed equally to this work
Introduction: The prognostic role of the derived neutrophil-to-lymphocyte ratio (dNLR) in human patients with HER2+ breast cancer is not well understood. Here, we aimed to investigate the prognostic significance of dNLR in patients with HER2+ breast cancer undergoing neoadjuvant chemotherapy.
Methods: A total of 310 patients with non-distant metastatic HER2+ breast cancer who had received neoadjuvant chemotherapy in our hospital from May 2006 to November 2013 were retrospectively included in this study. Kaplan–Meier curves were used to assess overall survival (OS) and disease-free survival (DFS). The Cox regression model was used to evaluate the prognostic value of dNLR and Breast Imaging-Reporting and Data System (BI-RADS) classification, as well as other clinicopathological parameters in patients with HER2+ breast cancer treated with neoadjuvant chemotherapy.
Results: We found that dNLR prior to treatment was positively correlated with tumor size, tumor stage, lymphovascular invasion, and histological grade (P<0.05). The median OS of patients with high dNLR and low dNLR were 44.2 and 69.9, respectively (P<0.001), and the median DFS of patients with high dNLR and low dNLR were 15.3 and 22.1 months, respectively (P<0.001). Multivariate analysis showed that dNLR was an independent risk factor for OS (HR =1.726; 95% CI: 1.072–2.662; P=0.009) and DFS (HR =1.658; 95% CI: 1.125–2.426; P=0.026). Moreover, increased BI-RADS classification independently predicted short OS (HR =1.609; 95% CI: 1.216–2.351; P=0.015) and DFS (HR =1.925; 95% CI: 1.526–2.635; P=0.021).
Conclusion: dNLR prior to treatment and BI-RADS classification are independent prognostic factors in patients with HER2+ breast cancer receiving neoadjuvant chemotherapy.
Keywords: breast cancer, inflammation, dNLR, Breast Imaging-Reporting and Data System, prognosis
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