Background:The elevation of the platelet-to-lymphocyte ratio (PLR), an easily applicable blood test based on platelet and lymphocyte counts has been associated with poor prognosis in patients with different types of cancer. The present study was aimed to investigate the prognostic significance of the preoperative PLR in a large cohort of breast cancer patients.Methods:Data from 793 consecutive non-metastatic breast cancer patients, treated between 1999 and 2004, were evaluated retrospectively. The optimal cutoff values for the PLR were calculated using receiver operating curve analysis. Cancer-specific survival (CSS), overall survival (OS) as well as distant metastasis-free survival (DMFS) were assessed using the Kaplan–Meier method. To evaluate the independent prognostic significance of PLR, multivariable Cox regression models were applied for all three different end points.Results:Univariable analysis revealed a significant association between the elevated preoperative PLR and CSS (hazard ratio (HR): 2.75, 95% confidence interval (CI): 1.57–4.83, P<0.001) that remained statistically significant in multivariable analysis (HR: 2.03, 95% CI: 1.03–4.02, P=0.042). An increased PLR was also significantly associated with decreased OS in univariable (HR: 2.45, 95% CI: 1.43–4.20, P=0.001) and in multivariable analysis (HR: 1.92, 95% CI: 1.01–3.67, P=0.047). Furthermore, univariable analysis showed a significant impact of increased PLR on DMFS (HR: 2.02, 95% CI: 1.18–3.44, P=0.010). Subgroup analysis revealed significant associations of the elevated PLR on the primary end point CSS for all breast cancer subtypes. This association retained its significance in multivariable analysis in patients with luminal B tumours (HR: 2.538, 95% CI: 1.043–6.177, P=0.040).Conclusions:In this study, we identified the preoperative PLR as an independent prognostic marker for survival in breast cancer patients. Independent validation of our findings is needed.

Existing preclinical and clinical data suggest that the presence of a systemic inflammatory response plays a critical role in the progression of several solid tumors. The derived neutrophil-to-lymphocyte ratio (dNLR) represents an easily determinable marker of systemic inflammation and has been proposed as a potential prognostic marker. The present study was performed to validate and further clarify the prognostic relevance of an elevated pre-treatment dNLR in a large cohort of European breast cancer patients. Data from 762 consecutive female breast cancer patients treated from 1999 to 2004 were evaluated. Disease-free survival (DFS) and overall survival (OS) were assessed using the Kaplan-Meier method. To evaluate the prognostic relevance, univariate and multivariate Cox regression models were performed for each endpoint. Applying receiver operating characteristics (ROC) analysis, the optimal cutoff level for the dNLR was 3. In univariate analysis, a dNLR ≥3 was associated with poor DFS (hazard ratio (HR) 1.87, 95 % confidence interval (CI) 1.28-2.73, p = 0.001) and OS (HR 1.67, 95 % CI 1.07-2.63, p = 0.025). Multivariate analysis revealed a significant association between the elevated dNLR and poor DFS (hazard ratio (HR) 1.70, 95 % CI 1.09-2.65, p = 0.018) but did not show a significant association between the dNLR and OS (HR 1.54, 95 % CI 0.91-2.59, p = 0.106). The present study shows that the pre-treatment dNLR is an independent prognostic factor that could be useful for future individual risk assessment in breast cancer patients.

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An elevated preoperative plasma fibrinogen level may represent an independent prognostic marker for survival in breast cancer patients.

The NLR seems to represent an independent prognostic marker and should be considered for future individual risk assessment in patients with prostate cancer.

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Longer leukocyte RTL predicts higher overall mortality in patients with PCa.

Although our data show a significant association between an elevated plasma fibrinogen level and poor prostate cancer prognosis, they have to be interpreted cautiously. Limitations of the present study are caused by its retrospective design, the limited accuracy obtained using ROC curve analysis, and potential confounding factors like cardiovascular disease and inflammatory diseases that have not been accounted for.