Research ArticleClinical Studies

Prognostic Significance of Pre-surgical Combined Platelet Count and Neutrophil–Lymphocyte Ratio for Patients With Hepatocellular Carcinoma

EI UCHINAKA, MASATAKA AMISAKI, TAKUKI YAGYU, MASAKI MORIMOTO, JOJI WATANABE, NARUO TOKUYASU, TERUHISA SAKAMOTO, SOICHIRO HONJO, HIROAKI SAITO and YOSHIYUKI FUJIWARA
In Vivo November 2019, 33 (6) 2241-2248; DOI: https://doi.org/10.21873/invivo.11729

Abstract

Background/Aim: Recent studies have investigated a novel inflammation-based prognostic system using the combination of platelet count and neutrophil–lymphocyte ratio (COP-NLR). As platelet count decreases with liver damage, we hypothesized that COP-NLR could indicate both inflammation and hepatic reserve in patients with hepatocellular carcinoma (HCC). This study was conducted to clarify the prognostic significance of preoperative COP-NLR in patients with HCC. Patients and Methods: We enrolled 176 patients with histologically-proven HCC who underwent initial curative hepatectomy. Patients were assigned one point each for low platelet count (<15×104/μl) or for high NLR (≥2.0), for hepatic-COP-NLR scores (h-COP-NLR) of 0, 1 or 2. Results: Five-year overall survival (OS) and recurrence-free survival (RFS) rates were 74.5±9%, and 62.2%±9.3% for score 0, 63.6±5.4% and 50.3%±5.6% for score 1, and 45.2±8.8% and 40.6±8.7% for score 2, respectively, and significantly differed (OS: p=0.01; RFS: p=0.03). In multivariate analysis, h-COP-NLR was an independent risk factor for tumor recurrence (HR=1.39, p=0.03) and death (HR=1.71, p=0.02). Conclusion: h-COP-NLR was an independent predictor for prognosis of HCC patients after hepatic resection.

Worldwide, hepatocellular carcinoma (HCC) is the fifth most common cancer diagnosis and the third leading cause of cancer mortality (1). Patients' mean age at HCC diagnosis is 65.7 years (2). Although diagnosis and treatment are progressing, the overall prognosis of HCC remains poor, with an estimated 5-year survival rate of only 12% (3). Accurate risk stratification is essential to optimize treatment for patients with HCC.

Systemic inflammation and immunological status in cancer patients are closely related to cancer progression (4, 5). As inflammation and immunological status can be assessed with serological analyses, several prognostic indices based on markers of inflammation have been proposed, including the neutrophil–to–lymphocyte ratio (NLR), the Glasgow Prognostic Score, and the platelet to lymphocyte ratio for patients with malignancies, including HCC (6-9). A novel inflammation-based prognostic system that uses the combination of platelet count and NLR (COP-NLR) has been recently proposed (10-14). Supporting studies have shown COP-NLR to be a useful predictor of postoperative survival in patients with renal cell carcinoma, esophageal squamous cell carcinoma, head and neck cancer, non-small cell lung cancer and colorectal cancer (10-14). However, its prognostic reliability has not been assessed for HCC patients who undergo curative surgery. One reason for this is, whereas inflammation from most malignancies leads to higher platelet counts (15, 16), in patients with HCC arising from liver disease, low liver function leads to lower platelet counts (17).

Therefore, the predictive significance of both platelet count alone and COP-NLR should be evaluated for patients with HCC. We hypothesized that COP-NLR indicates both inflammation and hepatic reserve among patients with HCC. This study analyzed the prognostic significance of preoperative COP-NLR in patients with HCC.

Patients and Methods

Patients. This study enrolled 176 patients with histologically-proven HCC who underwent initial and curative hepatectomies at Tottori University Hospital between 2004 and 2013. As this was a retrospective study, all clinicopathological data were collected from medical records. Pathological findings were classified according to the 5th edition of The General Rules for the Clinical and Pathological Study of Primary Liver Cancer (18). After surgery, patients were routinely followed up for disease recurrence with measurements of serum tumor markers and imaging modalities such as ultrasonography, computed tomography, or magnetic resonance imaging were used every six months to detect disease recurrence. Follow-up was calculated from the day of surgery to the day of death or the last visit. Information on the cause of death and type of recurrence were obtained from medical records.

Figure 1.
Figure 1.

Preoperative NLR and preoperative Plt in patients with HCC showed no statistically significant correlation (r=0.106; p=0.160).

Pre-operative NLR was defined as the absolute neutrophil count divided by the absolute lymphocyte count obtained from blood tests (19) within a week before surgery. Cut-off values of pre-operative NLR and platelet counts were derived from receiver operating characteristic (ROC) analyses. Based on these cutoff values, enrolled patients were divided into the following three groups; those in whom both values were normal (scored as 0), in whom one value was unfavorable (scored as 1), and in whom both values were unfavorable (scored as 2).

Statistical analysis. All statistical analyses were carried out with SPSS version 25 (IBM, NY, USA). Overall survival (OS) and recurrence-free survival (RFS) rates were calculated according to the Kaplan–Meier method and compared using the log-rank test. OS was calculated from the date of surgery to the date of death or last visit. RFS was calculated from the date of surgery to the date of disease recurrence or last visit. Seventeen clinicopathological factors, including age, sex, hepatitis B surface antigen (HBsAg), hepatitis C virus (HCV), diabetes mellitus, NLR, platelet count, alpha-fetoprotein (AFP), surgical duration, extent of resection, number of tumors, tumor size, histological subtype, microscopic portal vein invasion (vp), TNM stage, liver cirrhosis, and COP-NLR were entered in the univariate analysis. Clinicopathological factors for which p<0.05 were further analyzed in multivariate analyses to determine the independent predictors for OS. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated for all estimates. p<0.05 was considered significant. All continuous values are presented as mean±standard deviation.

Results

Among the 176 patients with HCC, 147 (83.5%) were men and 29 (16.5%) were women. Their mean age was 68.1±9.6 years. The mean follow-up period was 46.6±33.1 months. Mean platelet count and NLR were 16.6±7.53×104/μl and 2.51±1.64, respectively. As platelet count and NLR showed no statistically significant correlation (r=0.106, p=0.160; Figure 1), the combination of these two values might be reasonably expected to more accurately predict patients' prognosis. ROC analysis showed the optimal pre-operative cutoff values to be NLR: 2.0 (area under the curve [AUC]: 0.585, p=0.054), and platelet count: 15×104/μl (AUC: 0.600, p=0.023; Figure 2). Kaplan–Meier analysis according to NLR or platelet counts showed that patients with high NLR or low platelet count tended to have lower 5-year OS rates (Figure 3).

According to these results, hepatic-COP-NLR (h-COP-NLR) 2 was defined as both high NLR (≥2.0) and decreased platelet count (<15×104/μl). The one that allowed only one was defined as h-COP-NLR 1. The thing which neither admits was defined as h-COP-NLR 0. Of the 176 patients, 38 had h-COP-NLR 0, 98 had h-COP-NLR 1, and 40 had h-COP-NLR 2. In ROC analysis, AUC of the combination of platelet count and NLR for OS was 0.620, which was higher than those of either platelet count or NLR considered separately (Figure 4).

Table I shows the correlation of clinicopathological factors between the h-COP-NLR=0, 1, and 2 groups. These three groups did not significantly differ in clinical features (Table I). Kaplan–Meier curves and log rank tests showed that 5-year OS rates were 74.5±9% in h-COP-NLR 0, 63.6±5.4% in h-COP-NLR 1, and 45.2±8.8% in h-COP-NLR 2, with significant differences (p=0.005; Figure 5a;). Five-year recurrence-free survival rates were 62.2%±9.3% in h-COP-NLR 0, 50.3%±5.6% in h-COP-NLR 1, and 40.6±8.7% in h-COP-NLR 2 (p=0.033; Figure 5b). Thus, pre-operative h-COP-NLR successfully stratified patients by prognosis. In the univariate analyses for predictors of death from all causes, h-COP-NLR was significantly predictive (HR=1.768, 95%CI=1.238-2.525, p=0.002). Other identified prognostic factors were NLR (HR=1.810, 95%CI=1.128-2.903, p=0.014), and TNM stage (HR=2.319, 95%CI=1.204-4.464, p=0.012). However, low platelet counts alone had no prognostic significance (HR=1.463, 95%CI=0.923-2.318, p=0.106). Multivariate analysis confirmed that h-COP-NLR (HR=1.714, 95%CI=1.073-2.739, p=0.024), and TNM stage (HR=2.450, 95%CI=1.261-4.759, p=0.008) were independent prognostic factors (Table II). In univariate analysis for disease recurrence, h- COP-NLR (HR=1.452, 95%CI=1.081-1.948, p=0.013), sex (HR=1.638, 95%CI=1.003-2.677, p=0.049), AFP (HR=1.531, 95%CI=1.041-2.251, p=0.030), and TNM stage (HR=2.271, 95%CI=1.276-4.041, p=0.005) were statistically significant. Multivariate analysis confirmed that h-COP-NLR (HR=1.390, 95%CI=1.031-1.876, p=0.031), and TNM stage (HR=2.410, 95%CI=1.351-4.301, p=0.003) were independent recurrence factors (Table III).

Figure 2.
Figure 2.

Comparison of areas under the receiver operating curves for outcome prediction between preoperative NLR (a) and preoperative Plt (b).

Figure 3.
Figure 3.

Overall survival curves based on preoperative NLR and preoperative Plt. (a) Preoperative NLR; 5-year survival rates were high NLR: 54.2±5.6%; low NLR: 71.0±6.1%. (b) Preoperative Plt; 5-year survival rates were high platelet count: 66.5±5.6%, low platelet count: 56.7±6.2%.

Discussion

Our study assessed the prognostic value of pre-surgical h-COP-NLR in patients with HCC. We found that elevated h-COP-NLR was significantly associated with shorter OS and RFS. Although several studies have shown relationships between COP-NLR and prognosis in various cancer types (10-14), to our knowledge, this study is the first to evaluate its pre-operative use in patients with HCC.

The COP-NLR originated from attempts to validate stratification of patients using prognostic parameters based on cellular inflammation, such as NLR and reactive thrombocytosis (20). First, NLR, which reflects both neutrophil count and lymphocyte count, is an indicator of systemic inflammation and host immunity. Neutrophils, a component of NLR, are related to inflammation caused by tumors (21). Inflammatory responses are closely related to tumor development stage, including initiation, progression, malignant conversion, invasion, and metastasis (22). Circulating neutrophils induced from inflammation produce chemokines and cytokines, such as tumor necrosis factor, interleukin-1, interleukin-6, and vascular endothelial growth factor, which promote tumor proliferation, angiogenesis, invasion, and metastasis (4, 23, 24). Lymphocytes are related to host immunity and suppress cancer progression by producing cytotoxic cell-death ligands and cytokines that inhibit tumor cell proliferation and metastasis (25-27). Therefore, several studies have associated high preoperative NLR with poor prognosis in HCC patients (28-30).

View this table:
Table I.

Comparison of clinicopathological factors by h-COP-NLR status.

In the present study, we confirmed that low platelet count was both a predictor of poor prognosis and a significant prognostic addition to NLR in patients with HCC. In general, thrombocytosis generally occurs in 10%-57% of patients with cancer (15, 16). Thrombocytosis is reportedly a predictor of shorter survival in patients with various tumors (31-33), because the glycoprotein secreted by platelets affects migration, invasion and angiogenesis of tumor cells, and promotes tumor progression (34). However, among patients with liver disorders, when platelet count decreases, liver fibrosis is considered to have progressed (35). Multifocal carcinogenesis is reportedly likely to occur when fibrosis progresses in patients with chronic liver disease with hepatitis C (36). Low platelet counts are also reported to be a useful predictor for recurrence after radiofrequency ablation for HCC (37). These results suggest that low platelet count predicts poor prognosis in HCC. Our results also showed that low platelet count was a poor prognostic factor for HCC.

Figure 4.
Figure 4.

ROC survival curves for combined platelet count and NLR.

Our earlier study showed that NLR had limited prognostic capacity for HCC, as NLR alone did not predict HCC recurrence (38). We therefore added platelet count as a parameter into NLR (h-COP-NLR), which overcame this clinical issue. As all parameters of h-COP-NLR are included in ordinary complete blood count tests, h-COP-NLR is a simple and clinically significant predictor of prognosis of patients with HCC. In ROC analysis, the AUC of H-COP-NLR is higher than those of platelet number and NLR considered separately.

This study has some limitations – most obviously, its retrospective design, and small, single-institution cohort. Therefore, further studies are needed to validate our results.

View this table:
Table II.

Univariate and multivariate analyses of h-COP-NLR for prediction of OS.

View this table:
Table III.

Univariate and multivariate analyses of h-COP-NLR for prediction of recurrence-free survival.

In conclusion, h-COP-NLR was an independent predictor for prognosis in HCC patients who undergo initial surgery, and may be a novel biomarker of HCC prognosis. Because h-COP-NLR can be evaluated only with routine peripheral blood tests, it is a very convenient and effective index for HCC patients.

Figure 5.
Figure 5.

(a) The Kaplan–Meier method and log rank test showed 5-year OS rates to be significantly different (p=0.005) at h-COP-NLR 0: 74.5±9%, h-COP-NLR 1: 63.6±5.4%, and h-COP-NLR 2: 45.2±8.8%; (b) 5-year recurrence-free survival rates were also significantly different (p=0.033) at h-COP-NLR 0: 62.2±9.3%, h-COP-NLR 1: 50.3±5.6% 1, and h-COP-NLR 2: 40.6±8.7% in h-COP-NLR 2.

Acknowledgements

The Authors would like to thank Marla Brunker, from Edanz Group (www.edanzediting.com/ac), for editing a draft of this manuscript.

Footnotes

  • Authors' Contributions

    E.U. Designed the study. E.U., M.A., T.Y., M.M., J.W., N.T., T.S., S.H., and H.S. collected data. E.U. analyzed the data. E.U., M.A. and Y.F. wrote the article. All Authors declare they significantly participated in creation of the study. All Authors read and approved the final article.

  • This article is freely accessible online.

  • Conflicts of Interest

    The Authors declare no conflicts of interest in association with this study.

  • Received August 16, 2019.
  • Revision received September 16, 2019.
  • Accepted September 17, 2019.

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Prognostic Significance of Pre-surgical Combined Platelet Count and Neutrophil–Lymphocyte Ratio for Patients With Hepatocellular Carcinoma
EI UCHINAKA, MASATAKA AMISAKI, TAKUKI YAGYU, MASAKI MORIMOTO, JOJI WATANABE, NARUO TOKUYASU, TERUHISA SAKAMOTO, SOICHIRO HONJO, HIROAKI SAITO, YOSHIYUKI FUJIWARA
In Vivo Nov 2019, 33 (6) 2241-2248; DOI: 10.21873/invivo.11729
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