Prognostic significance of pre‑treatment neutrophil‑to‑lymphocyte ratio and platelet‑to‑lymphocyte ratio in patients with glioblastoma
Affiliations: Department of Medical Oncology, Adnan Menderes University, Aydın 09010, Turkey, Department of Radiation Oncology, Samsun Research and Training Hospital, Samsun 05000, Turkey, Department of Medical Oncology, Samsun Research and Training Hospital, Samsun 05000, Turkey
- Published online on: August 9, 2018 https://doi.org/10.3892/mco.2018.1695
- Pages: 453-458
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Glioblastoma multiforme (GBM) is the most common malignant brain tumour in adults (1). The current standard of first-line therapy is maximal safe resection followed by radiation therapy concurrent with temozolomide and subsequent adjuvant temozolomide chemotherapy (2). However, almost all patients experience relapse after adjuvant therapy and overall survival (OS) is dismal, despite the best available treatment modalities (3). New adjuvant treatment strategies, better patient selection and personalized therapy are crucial for improving clinical outcomes.
Clinical factors such as age at presentation, tumour location, Karnofsky performance status, extent of surgery and isocitrate dehydrogenase (IDH) status are well-known prognostic factors for GBM (4). Identification of more accessible and cost-effective prognostic factors may better guide adjuvant treatment decisions. The neutrophil-to-lymphocyte ratio (NLR) is a marker of host inflammatory response, and its elevation has recently been shown to be a poor prognostic factor in a number of malignancies, including colon, prostate, lung and bladder cancer (5–9). The platelet-to-lymphocyte ratio (PLR) is another inflammatory marker, although it has been less extensively investigated as a prognostic factor in cancer patients compared with NLR.
A limited number of studies have evaluated the role of NLR and PLR in GBM prognosis and survival, but the results are controversial. Some studies found that higher NLR values were associated with worse OS at the time of first diagnosis or prior to second surgery, whereas one study demonstrated that lower NLR values were associated with better prognosis only in IDH wild-type patients. In addition, other studies did not observe any association between NLR values and clinical outcome.
A total of 3 studies evaluated the prognostic effect of PLR in GBM patients: One of those studies reported a negative prognostic effect of increased PLR values, whereas the remaining 2 studies did not identify any association between PLR and OS.
The aim of the present study was to evaluate the prognostic value of NLR and PLR for OS in a cohort of patients with GBM.
Patients and methods
In this retrospective, single-centre study, a total of 80 patients who were diagnosed between January 2012 and June 2017 at the Departments of Radiation Oncology and Medical Oncology of Samsun Training Hospital (Samsun, Turkey) were evaluated. The Stupp protocol (primary radiotherapy with a total of 60 Gy with concomitant temozolamide and subsequent temozolamide) was used for all patients as the postoperative radiochemotherapy regimen. The protocol of the present study was approved by the local Ethics Committee.
Demographic data, clinicopathological data and treatment parameters (i.e., extent of surgical resection, radiotherapy and use of chemotherapy) were obtained from medical records. Data on patient death were obtained from the National Electronic Death Registration System, Turkey.
Patients with complete blood count results before receiving corticosteroid therapy or surgery were included in the study. NLR was calculated by dividing the neutrophil count by the lymphocyte count, and the PLR was defined as the absolute platelet count divided by the absolute lymphocyte count.
Progression-free survival (PFS) was calculated as the time interval between the date of the initial surgery and the detection of tumour progression documented on magnetic resonance imaging or the date of death. The time interval between the date of diagnosis and the date of death, or of the last follow-up for surviving patients, was defined as the OS. Kaplan-Meier curves were used to calculate OS and PFS. Patients who were alive at the last visit were censored in the analysis. Univariate and multivariate analyses were performed using the Cox proportional hazards model to evaluate the effect of variables on PFS and OS. Both the NLR and PLR were evaluated as continuous or dichotomous variables. A cut-off value of 4 for NLR was selected according to previous trials, as it had been shown to correlate with clinical outcomes in GBM patients. P<0.05 was considered to indicate statistically significant differences. All analyses were performed using SPSS version 23 software (IBM SPSS, Armonk, NY, USA).
Between 2012 and 2017, 104 patients with GBM were assessed for consideration of adjuvant therapy at our institution, among whom 80 patients with evaluable pre-corticosteroid full blood count results were identified and included in the present study. Of the 80 patients, 39 (48.7%) were male and 41 (51.3%) were female, with a mean age of 56.8±13.1 years. The median tumour diameter was 42.3±14.8 mm. The majority of the patients (85%) had received concurrent chemoradiotherapy after surgery. In addition, the majority of the patients (72.5%) subsequently received adjuvant temozolomide. Gross total excision was achieved in over half of the patients (52.5%). The most common tumour localization was the temporal lobe (27.5%). The median follow-up time was 12 months (range, 3–55 months).
The mean pre-treatment neutrophil, platelet and lymphocyte counts were 7.9±3.7×109/l (range, 2.4–21.6×109/l), 259.1±65.7×109/l (range, 133–462×109/l), and 1.7±0.7×109/l (range, 0.5–3.6×109/l), respectively.
The mean pre-treatment NLR was 6.3±5.5 (median, 4.39; range, 1.03–30.29), and the mean pre-treatment PLR was 182.9±95.4 (median, 163.1; range, 56.8–607.9). Baseline demographic data are presented in Table I.
The median PFS was 9.1 months. On univariate analysis, PFS did not differ significantly according to sex, laterality, or pre-treatment neutrophil, lymphocyte and platelet counts. However, age <65 years, Eastern Cooperative Oncology Group (ECOG) performance status 1 and 2, administration of concurrent radiotherapy compared with radiotherapy alone, administration of second- and third-line systemic therapy, and frontal compared with occipital tumour localization were considered as prognostic factors. PFS did not differ significantly between patients with higher (>4) and those with lower (<4) NLR values.
On multivariate analysis, ECOG performance status, localization, radiochemotherapy and second-line systemic therapy remained as independent prognostic indicators (Table II).
A total of 53 patients had succumbed to the disease by the time of the analysis. The OS was 13.2 months in the entire study population. Univariate and multivariate analyses demonstrated that patients with ECOG 1–2, and those receiving concurrent chemoradiotherapy or additional systemic therapy, had longer OS. On multivariate analysis, frontal localization was also a significant predictor of survival (Table III).
NLR and PLR
Patients with an NLR value of <4 had a longer PFS when compared with patients with higher NLR values (10.7 vs. 7.8 months, respectively), but the difference was not statistically significant (Fig. 1). The PFS for patients with low PLR values was 7.4 months as compared with 10.02 months for those with high PLR values, but the difference was not statistically significant (P=0.166).
Patients with NLR <4 had a better OS of 14.5 vs. 11.6 months in patients with NLR >4. The difference was not statistically significant (P>0.05; Fig. 2). OS did not differ significantly between patients with low and those with high PLR values (10.2 vs. 15.2 months, respectively; P=0.105).
The results of the present study demonstrated that patients with lower NLR values exhibited a longer OS compared with patients with higher NLR values, but the difference was not statistically significant. PLR was not prognostic for clinical outcome. Although NLR is an easily available and cost-effective test, its clinical use in patients with GBM is associated with some challenges. NLR should be calculated prior to steroid therapy and surgery, as both these interventions may increase the neutrophil count and lead to misinterpretation of the value (10). NLR may also be affected by various factors, such as hypertension, autoimmune diseases, cardiovascular diseases and insulin resistance. In addition, the optimal cut-off value has not been established.
The identification of prognostic factors is crucial for GBM patients and may guide clinical treatment. Several studies have demonstrated an association between inflammatory status and cancer development. Pre-treatment neutrophil, lymphocyte and platelet counts are indicators of cancer-associated inflammation. High neutrophil count has been demonstrated to be an independent negative prognostic marker for recurrence and survival in gastric cancer, metastatic renal cell carcinoma, metastatic melanoma and advanced non-small-cell lung cancer (11). NLR is considered to reflect the balance between activation of the inflammatory pathway and the anti-tumour immune function (12).
As a marker of systemic inflammation, the prognostic significance of pre-treatment NLR in GBM patients remains unclear. NLR values <4 were shown to be significantly correlated with a better OS for GBM patients in 3 retrospective studies (10,13,14). By contrast, 2 retrospective studies did not identify any association between NLR values and OS, in accordance with our results. Mason et al evaluated NLR values in postoperative GBM patients who mostly received corticosteroids, which affect the NLR values, and used a cut-off value of 7.5 (15). Lopes et al also did not observe any correlation of NLR with OS, but they reported a shorter OS in patients with an NLR value >7 who completed the Stupp protocol (16).
McNamara et al assessed the prognostic value of NLR prior to second surgery in GBM patients and demonstrated that low NLR values were associated with longer OS after the second surgery compared with high NLR values (17).
PLR is also described as a prognostic factor in different cancer types; however, it is less extensively investigated compared with NLR in GBM patients. A total of 3 retrospective studies evaluated the prognostic value of PLR in GBM patients: Wang et al reported that PLR had independent prognostic value in GBM patients (10). Conversely, the other 2 trials could not find any association between PLR and clinical outcome in GBM patients (14,16).
Of the known prognostic factors in our study population, ECOG performance status, localization, combined therapy and second-line systemic treatment were identified as prognostic factors for clinical outcome.
There were certain limitations to the present study. First, this was a retrospective study and the sample size was not sufficient to reach statistical significance for survival due to worse disease outcomes; the results should be confirmed in a prospective study. Second, the O6-methylguanine-DNA methyltransferase methylation status of the patients was not known. Moreover, the post-progression salvage treatments were heterogeneous. Finally, cardiovascular diseases, infection, or drug treatments may also have affected the neutrophil and lymphocyte counts; however, we could not detect all confounders for patients with such medical history.
In conclusion, pre-treatment NLR and PLR values were not associated with prognosis in GBM patients and do not appear to be useful markers for predicting prognosis in GBM patients. There remains an unmet need to identify better prognostic factors for GBM patients.
The authors would like to thank Ferhat Yıldız for the statistical analysis.
No funding was received.
Availability of data and materials
The datasets used and analyzed during the present study are available from the corresponding author on reasonable request.
OY made substantial contributions to conception and design, and acquisition of data, and interpretation of data; EO made substantial contributions to conception and acquisition of data; OO made substantial contributions to acquisition of data; YK involved in drafting the manuscript and revising it critically for important intellectual content.
Ethics approval and consent to participate
Samsun Research and Training Hospital approval no. 2017/14.
Patient consent for publication
The authors declare that they have no potential competing interests to disclose.
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