Original Article

Researching Predictive Value of White Blood Cell Rates for Diagnosis of Prostate Cancer in the Patients Undergoing Prostate Biopsy: A Pilot Study

10.4274/uob.galenos.2019.1236

  • Kaan Karamık
  • Yasin Aktaş
  • Selim Taş
  • Hakan Anıl
  • Ekrem İslamoğlu
  • Mutlu Ateş
  • Murat Savaş

Received Date: 08.03.2019 Accepted Date: 10.04.2019 Bull Urooncol 2019;18(4):138-142

Objective:

The aim of this study was to assess the usefulness of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR) and neutrophil-to-monocyte (NMR) as biomarkers in men who had a prostate-specific antigen (PSA) level of 4 to 10 ng/mL and who subsequently underwent prostate biopsy.

Materials and Methods:

We retrospectively analyzed the records of 546 patients who underwent multicore (≥12) TRUS-guided biopsy at our institution between April 2010 and November 2017. Age, PSA level, f/t PSA, NLR, PLR, LMR, NMR, Gleason score in patients with prostate cancer (PCa) and biopsy results were collected. Histological results were categorized into three groups as benign prostatic hyperplasia, prostatitis and PCa.

Results:

The median age of patients was 64 years. The mean total PSA level and f/t PSA ratio were 6.52±1.76 and 0.2±0.09, respectively. The mean NLR, LMR, PLR and NMR were 2.46±1.46, 3.94±2.07, 120.69±60.73 and 8.52±7.97, respectively. The f/t PSA ratio in the PCa group was significantly lower compared to the other two groups (p<0.001). There was no statistically difference in NLR, LMR, PLR and NMR values (p=0.293, p=0.066, p=0.189 and p=0.334, respectively). Multivariate logistic regression analysis showed that age, PLR and f/t PSA were more likely to detect PCa. (p<0.001, p=0.018 and p<0.001, respectively).

Conclusion:

Several studies have been published with controversial results trying to specify the predictive value of the ratios of white blood cells in diagnosis of PCa. In this study, univariate and multivariate analyses showed that PLR value would be promising for future studies. Prospective studies are needed to find biomarkers for PCa detection.

Keywords: Prostate biopsy, prostate cancer, neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio, neutrophil-to-monocyte ratio

Introduction

Prostate cancer (PCa) is the most frequently diagnosed cancer and the second leading cause of cancer mortality among men (1). Despite the increasing incidence, PCa-related mortality rate decreases. This can be explained by prostate-specific antigen (PSA) screening and improved biopsy techniques. Serum PSA level is a useful tool for detecting PCa. After detecting elevated PSA levels, transrectal ultrasound (TRUS) guided prostate biopsy is required for the histological diagnosis of PCa. However, non-malignant conditions, especially benign prostatic hyperplasia (BPH) and prostatitis, often cause an increase in serum PSA levels. PSA lacks sufficient sensitivity and specificity for detecting PCa (2). Relevant to this issue, several studies have investigated the usefulness of free/total (f/t) PSA, PSA density, velocity and prostate cancer antigen-3 (PCA-3) for differentiating between benign conditions and PCa, especially in gray-zone patients with a PSA level of 4-10 ng/mL. Simple and inexpensive additional biomarkers with high specificity and sensitivity are needed to prevent unnecessary biopsies and to avoid possible complications of biopsy.

A number of studies have shown that systemic inflammation plays an important role in the development and progression of various cancers (3). Neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR) and neutrophil-to-monocyte (NMR) can be easily calculated from routine complete blood counts (CBC), and they were found to be independent prognostic factors in patients with gastric cancer (4), breast cancer (5) and non-small cell lung cancer (6). NLR is one of the most common markers of inflammation in cancer patients and it was reported to have prognostic value in PCa (7,8). The role of white blood cells rates in diagnosing PCa prior to prostate biopsy was investigated (9,10,11,12,13,14) and controversial results emerged.

In this study, we aimed to assess the usefulness of NLR, LMR, PLR and NMR as a biomarker in men who had PSA levels of 4 to 10 ng/mL and who subsequently underwent prostate biopsy.


Materials and Methods

We retrospectively analyzed the records of 2123 patients who underwent multicore (≥12) TRUS-guided biopsy at our institution between April 2010 and November 2017. Puncture indications were as follows: elevated PSA levels, abnormal digital rectal examinations, or hypoechoic lesions detected by TRUS. In all men, the prostate was routinely biopsied by transrectal route under local anesthesia following preoperative administration of a single dose antibiotic prophylaxis and gastrointestinal system cleaning. Patients with a history of autoimmune or inflammatory disease or symptomatic prostatitis or urinary tract infection or anti-inflammatory drug use were excluded.

We further investigated the records of 984 patients with PSA levels between 4-10 ng/mL. Our study was in accordance with the Helsinki Declaration and it did not require ethics committee permission as it included retrospective data. NLR was calculated by dividing neutrophil count by lymphocyte count, PLR was calculated by dividing platelet count by lymphocyte count, LMR was calculated by dividing lymphocyte count by monocyte count, and NMR was calculated by dividing neutrophil count by monocyte count. For each patient, age, PSA level, f/t PSA, NLR, PLR, LMR, NMR, Gleason score (GS) in patients with diagnosed PCa, and biopsy result were collected. Histological results were categorized into three groups as BPH, prostatitis and PCa.


Statistical Analysis

Statistical analysis was performed using IBM SPSS Statistics for Windows version 22.0 (IBM Corp., Armonk, NY). Fisher’s exact test and Pearson chi-square analysis were performed for categorical variables. Normality assumptions were checked by Shapiro-Wilk test. The differences between two groups were evaluated by Student’s t-test for normally distributed data or Mann-Whitney U test for non-normally distributed data. Kruskal-Wallis test was used for comparison of non-parametric variables between groups and Bonferroni-Dunn test was used as a post-hoc test for significant cases. One-Way ANOVA with post-hoc Tukey HSD test was used for parametric variables. The receiver operating characteristic (ROC) curve analysis was applied to evaluate predictive performance of NLR, LMR, PLR, NMR and f/t PSA on determining PCa and non-PCa patients. Area under the curve (AUC), sensitivity, specificity, negative and positive predictive values (NPV-PPV) were calculated and reported at a %95 confidence interval. Youden’s index was calculated to determine the optimal cut-off values. For the assessment of correlations between parameters, Spearman correlation analysis was used. Univariate and multivariate logistic regression analyses were performed to determine the association between study parameters and PCa detection. Data were expressed as n (%), mean ± standard deviation or median (min-max), where appropriate. P<0.05 was considered statistically significant.


Results

The study included 984 patients with PSA ranged from 4 to 10 ng/mL. Of these, 318 did not meet the inclusion criterion of available complete blood count results. Besides, 21 patients with autoimmune and inflammatory diseases, and nine patients with a history of anti-inflammatory drug use were excluded. Ninety patients who had high-grade intraepithelial neoplasia or atypical small acinar proliferation in the pathology report were also excluded.

The median age of the 546 men analyzed in the present study was 64 years. The mean total PSA (tPSA) level and f/t PSA ratio were 6.52±1.76 and 0.2±0.09, respectively. Mean NLR, LMR, PLR and NMR were 2.46±1.46, 3.94±2.07, 120.69±60.73 and 8.52±7.97, respectively. Among all patients, PCa was detected in 186 (34.1%) and GS was 6 in 138 patients. There were 360 patients in the benign category. Out of these 360 patients, 300 had BPH and 60 had prostatitis. The characteristics of the patients are summarized in Table 1.

The patients were first classified as BPH, prostatitis and PCa. We found that f/t PSA ratio in the PCa group was significantly lower compared to the other two groups (p<0.001). There was no statistically significant difference in NLR, LMR, PLR and NMR values (p=0.293, p=0.066, p=0.189 and p=0.334, respectively). When the patients were grouped with regard to having PCa, a statistically significant difference was detected between groups in terms of f/t PSA ratio (p<0.001) (Table 2). There was a significant difference in f/t PSA when the cut-off value was taken as 0.15 in routine practice of our clinic. Although it was not statistically significant, the median NLR in PCa group was higher than in non-PCa group (p=0.681). Median PLR values with and without cancer were 102.75 (34.5-345.55) and 110 (33.57-833), respectively, and there was no significant difference (p=0.073). Multivariate logistic regression analysis showed that age, PLR and f/t PSA were more likely to detect PCa. (p<0.001, p=0.018 and p<0.001, respectively) (Table 3).

ROC analysis was performed to assess the sensitivity and specificity of the study parameters in PCa detection (Table 4). AUC value for f/t PSA was 0.660 (95% CI, 0.619-0.700) (p<0.001). Using the Youden index for cut-off point, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV), were 39.78%, 85.28%, 58.3% and 73.3%, respectively. AUC of NLR, LMR, PLR and NMR values were 0.511, 0.544, 0.547 and 0.538 (p=0.686, p=0.091, p=0.070, p=0.138, respectively).


Discussion

PSA is widely used for screening PCa. High PSA level is the most common indication to perform prostate biopsy, which is the only method available to confirm the diagnosis of PCa. However, BPH and prostatitis may also increase PSA levels as PSA lacks sufficient sensitivity and specificity to diagnose PCa. Besides, one out of five men with PCa may be misdiagnosed in the first prostate biopsy (15). Attempts have been made to identify several molecular and biochemical markers that increase the diagnostic accuracy of the prostate biopsy. Nevertheless, no markers were universally accepted due to cost and availability. Cheap and widely used markers are needed to prevent unnecessary biopsies and reduce biopsy-related complications. Prostate health index and multiparametric prostate magnetic resonance imaging, which are frequently used recently, have been used to reduce unnecessary biopsies.

Increasing evidence has shown that systemic inflammatory factors are positively associated with various solid cancer types (16,17). The detection of immune response against tumor cells with certain markers is commonly used. The most studied marker, NLR, is related to immune function. NLR can be measured easily and inexpensively. Increased NLR is a poor prognostic factor in several types of cancer (18,19,20). Patients with high NLR have relatively low lymphocyte counts, which is associated with generalized state of immunosuppression. This insufficient immune effect seemed to be associated with the outcome of the patients. Some studies have shown that high NLR has a poor prognostic value in PCa after radical prostatectomy (21,22). Contrary to these studies, Maeda et al. (23) proposed that there was no relationship between NLR and biochemical recurrence after prostatectomy. Tang et al. (24) performed a meta-analysis including 18 studies and revealed that NLR could predict the prognosis for patients with locally advanced or castration-resistant PCa.

The predictive value of inflammation markers in the diagnosis of PCa was investigated (9,10,11,12,13,14). A meta-analysis showed that men with elevated leukocyte count were associated with higher PCa risk (25). However, Fujita et al. (26) concluded that elevated neutrophil count might be good indicator of a benign prostate biopsy. Beside these contradictory results, the predictive values of NLR and PCa detection rates were published with controversial results. Yuksel et al. (12) found that mean NLR values of patients with and without PCa were similar (p=0.944). PLR values of the cases in PCa group were significantly higher compared to the BPH group (p=0.018). Similarly, Gökce et al. (9) revealed that prostatitis prevents the use of NLR in differentiating PCa and benign conditions. Study by Huang et al. (13) demonstrated that NLR had a poor predictive value in entire cohort, but a promising superior predictive value among patients with PSA ranged from 4 to 10 ng/mL. Furthermore, two other studies showed that a higher NLR was significantly associated with PCa detection (10,11). In present study, there were no statistically differences in terms of NLR, LMR, PLR and NMR, (p=0.293, p=0.066, p=0.189 and p=0.334, respectively). Univariate and multivariate logistic regression analyses revealed that age, PLR and f/t PSA were associated with PCa detection. Although, PLR did not have a strong predictive value to detect PCa in ROC analysis, univariate and multivariate analyses have shown that PLR value will be promising for the future studies. The only study investigated that NLR and NMRs in the decision for prostate rebiopsy in patients with a previous benign pathology revealed that NLR and NMR values were significantly higher in patients with a diagnosis of PCa after the first negative biopsy (27).


Study Limitations

There were several limitations in our study. First, it was a retrospective cohort study. The second limitation was that the role of other various medical conditions such as smoking, metabolic syndrome, cardiovascular diseases and some other unknown factors that could affect the results was not evaluated in multivariate analyses.


Conclusion

Several studies have been published with controversial results trying to specify the predictive value of ratios of white blood cells in the diagnosis of PCa. Therefore, there might be a bias to select patients. PLR will be promising for the future studies. Large-scale prospective studies are needed to assess the presence of biomarkers to detect PCa.


Ethics

Ethics Committee Approval: Retrospective study.

Informed Consent: Retrospective study.

Peer-review: Internally and externally peer-reviewed.

Authorship Contributions

Concept: K.K., E.İ., S.T., Design: K.K., M.A., M.S., Data Collection or Processing: Y.A., H.A., Analysis or Interpretation: K.K., Y.A., S.T., Literature Search: K.K., Y.A., H.A., Writing: K.K., E.İ.

Acknowledgements

Publication: The results of the study were not published in full or in part in form of abstracts.

Contribution: The authors would like to thank Dr. Başak Oğuz and appreciate her support for the statistical analysis of this study.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: The authors declared that this study received no financial support.

Images

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