| Title |
Elevated preoperative neutrophil-to-lymphocyte ratio predicts poor disease-free survival in Chinese women with breast cancer
|
|---|---|
| Published in |
Tumor Biology, October 2015
|
| DOI | 10.1007/s13277-015-4233-1 |
| Pubmed ID | |
| Authors |
Jin Hong, Yan Mao, Xiaosong Chen, Li Zhu, Jianrong He, Weiguo Chen, Yafen Li, Lin Lin, Xiaochun Fei, Kunwei Shen |
| Abstract |
Inflammation and tumor immune microenviroment are critical factors for prognosis in numerous cancers. The aim of this study was to determine the prognostic value of preoperative neutrophil-to-lymphocyte ratio (NLR) in breast cancer. We performed a retrospective analysis of 487 patients diagnosed with primary breast cancer at Shanghai Ruijin hospital from January 2009 to December 2010. Hematological parameters before surgery, clinicopathological data, and survival status were obtained. Survival analysis was used to evaluate the prognostic value of NLR. The optimal cutoff value was determined as 1.93 for NLR and the median follow-up time was 55.0 months. On univariate analysis, patients with high NLR (>1.93) had worse 5-year disease-free survival (DFS) compared to those with low NLR (77.9 vs 88.0 %, p = 0.002). Regarding overall survival, there was no significant difference between patients with high NLR and low NLR, with 5-year overall survival of 90.8 and 91.7 % (p = 0.707). In triple-negative breast cancer, patients with high NLR was associated with worse 5-year DFS compared with patients with low NLR (63.4 vs 84.9 %, p = 0.040). Mutivariate analysis revealed that NLR was an independent prognostic factor for DFS in breast cancer (HR = 1.867, 95 % confidence interval; (95%CI) = 1.155-3.017, p = 0.011). Preoperative NLR is an independent predictor of DFS in breast cancer patients, especially in triple-negative subtype. Further studies are required to validate the prognostic value of NLR before clinical application. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 15% |
| Student > Postgraduate | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 50% |
| Immunology and Microbiology | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2015.
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#20,738,791
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Outputs from Tumor Biology
#1,854
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#238,996
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Outputs of similar age from Tumor Biology
#184
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