| Title |
Usefulness of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in hormone-receptor-negative breast cancer
|
|---|---|
| Published in |
OncoTargets and therapy, July 2016
|
| DOI | 10.2147/ott.s106017 |
| Pubmed ID | |
| Authors |
Chao Liu, Zhou Huang, Qiusheng Wang, Bing Sun, Lijuan Ding, Xiangying Meng, Shikai Wu |
| Abstract |
We aimed to investigate the relationship between pretreatment neutrophil-to-lymphocyte ratio (NLR)/platelet-to-lymphocyte ratio (PLR) and the estimation of hormone-receptor-negative (HR-) breast cancer patients' survival in a Chinese cohort. Of 434 consecutive HR- nonmetastatic breast cancer patients treated between 2004 and 2010 in the Affiliated Hospital of Academy of Military Medical Sciences, 318 eligible cases with complete data were included in the present study. Kaplan-Meier analysis was performed to determine the overall survival (OS) and disease-free survival (DFS). Univariate and multivariate Cox proportional hazards models were used to test the usefulness of NLR and PLR. Univariate analysis indicated that both elevated NLR and PLR (both P<0.001) were associated with poor OS. The utility of NLR remained in the multivariate analysis (P<0.001), but not PLR (P=0.104). The analysis results for DFS were almost the same as OS. Subgroup analysis revealed a significant association between increased NLR and PLR (P<0.001 and P=0.011) and poor survival in triple-negative breast cancer. However, for human epidermal growth factor receptor 2-positive breast cancer, only NLR was significantly associated with OS in the multivariate analysis (P=0.001). The present study indicates that both increased NLR and PLR are associated with poor survival in HR-breast cancer patients. Meanwhile, NLR is independently correlated with OS and DFS, but PLR is not. |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 25% |
| Student > Ph. D. Student | 3 | 15% |
| Other | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 3 | 15% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 50% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
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 19 August 2016.
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#22,759,452
of 25,374,647 outputs
Outputs from OncoTargets and therapy
#2,078
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Outputs of similar age
#323,530
of 367,269 outputs
Outputs of similar age from OncoTargets and therapy
#67
of 110 outputs
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