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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Meta-analysis of prognostic value of inflammation parameter in breast cancer
Jie Chen1, Yuqin Pan2, Bangshun He2
1Department of Life Sciences, Nanjing Normal University; Central Laboratory, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Context:
Recently, increasing studies investigated the association between inflammation parameter such as neutrophil to lymphocyte ratio (NLR) and the prognosis of cancers. However, the clinical and prognostic significance of NLR in breast cancer remains controversial.
Aim:
This meta-analysis was conducted to establish the overall accuracy of the NLR test in the diagnosis of breast cancer.
Materials And Methods:
A comprehensive search of the literature was conducted using PubMed and Web of Science. Six studies dating up to July 2014 with 2267 patients were enrolled in the present study. STATA 11.0 software (STATA Corporation, College Station, TX, USA) was selected for data analysis. In order to evaluate the association between NLR and overall survival (OS), disease-free survival (DFS), recurrence-free survival or cancer-specific survival, the hazard ratios (HRs), and their 95% confidence intervals (CIs) were extracted.
Results:
Subgroup analyses showed that NLR was a strong prognostic factor for OS in multivariate analysis (HR = 2.81, 95% CI = 2.13-3.71, PH = 0.992) and without metastasis (HR = 1.45, 95% CI = 0.37-5.66, PH < 0.001). Elevated NLR was associated with a high risk for DFS in subgroups of multivariate analysis (HR = 2.16, 95% CI = 1.67-2.80, PH = 0.977) and mixed metastasis (HR = 2.13, 95% CI = 1.38-3.30, PH = 0.84).
Conclusion:
In summary, NLR may be considered as a predictive factor for patients with breast cancer.
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