Skip to main content
Radiation Oncology Journal logoLink to Radiation Oncology Journal
. 2019 Sep 30;37(3):166–175. doi: 10.3857/roj.2019.00220

Prognostic value of neutrophil-to-lymphocyte ratio in locally advanced non-small cell lung cancer treated with concurrent chemoradiotherapy

Eun Young Park 1, Yeon-Sil Kim 1,, Kyu Hye Choi 1, Jin Ho Song 1, Hyo Chun Lee 1, Sook-Hee Hong 2, Jin-Hyoung Kang 2
PMCID: PMC6790800  PMID: 31591864

Abstract

Purpose

This study aimed to investigate neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) as prognostic factors in patients with locally advanced non-small cell lung cancer (NSCLC) who received concurrent chemoradiotherapy (CCRT).

Materials and Methods

We retrospectively analyzed 66 patients with locally advanced NSCLC treated with definitive CCRT. Among these patients, 95% received paclitaxel/carboplatin or docetaxel/cisplatin. The median radiation dose was 66 Gy in 33 fractions. The NLR and PLR before/after CCRT were evaluated. The maximally selected log-rank test was used to obtain the cutoff values related to the overall survival (OS).

Results

Patients with high post-CCRT NLR (>3.12) showed worse OS, locoregional progression-free survival (LRPFS), and distant metastasis-free survival (DMFS) than those with low NLR (2-year OS: 25.8% vs. 68.2%, p < 0.001; 2-year LRPFS: 12.9% vs. 33.8%, p = 0.010; 2-year DMFS: 22.6% vs. 38.2%, p = 0.030). Patients with high post-CCRT PLR (>141) showed worse OS and LRPFS than those with low PLR (2-year OS: 37.5% vs. 71.1%, p = 0.004; 2-year LRPFS: 16.5% vs. 40.3%, p = 0.040). Patients with high NLR change (>1.61) showed worse OS and LRPFS than those with low NLR change (2-year OS: 26.0% vs. 59.0%, p < 0.001; 2-year LRPFS: 6.8% vs. 31.8%, p = 0.004). The planning target volume (hazard ration [HR] = 2.05, p = 0.028) and NLR change (HR = 3.17, p = 0.025) were the significant factors for OS in the multivariate analysis.

Conclusion

NLR change after CCRT was associated with poor prognosis of survival in patients with locally advanced NSCLC. An elevated NLR after CCRT might be an indicator of an increased treatment failure risk.

Keywords: Neutrophil-to-lymphocyte ratio, Platelet-to-lymphocyte ratio, Non-small cell lung cancer, Concurrent chemoradiotherapy

Introduction

Lung cancer is the most common cancer and a leading cause of cancer death globally [1]. In about 85% cases, lung cancer is diagnosed as non-small cell lung cancer (NSCLC) [2]. In NSCLC, 20%–25% of patients are diagnosed with locally advanced disease (stages IIIA and IIIB according to the American Joint Committee on Cancer [AJCC] 7th edition) [3]. Patients with inoperable locally advanced NSCLC have a poor prognosis, with a 5-year survival rate of 15%–25% [4].

For locally advanced NSCLC, multimodality treatment is used. Patients with resectable stage IIIA NSCLC undergo surgery or neoadjuvant chemotherapy/chemoradiotherapy. The standard treatment of unresectable locally advanced NSCLC is definitive concurrent chemoradiotherapy (CCRT) [5]. Despite multimodality treatment, local and distant failure is high in unresectable locally advanced NSCLC. Thus, there is a need to determine the prognostic and predictive factors in locally advanced NSCLC to improve treatment strategy.

The prognostic and predictive factors of NSCLC are known as disease stage, performance status, sex, age, histology, tumor size, and mediastinal infiltration [2]. Recently, routinely assessed biological variables, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and leukocytosis have been suggested as the prognostic factors [3,6-13]. Templeton et al. conducted a meta-analysis of 100 studies with a total of 40,599 patients and they demonstrated that a high NLR is associated with poor overall survival (OS) in many solid tumors [6]. Another meta-analysis of 20 studies with 12,754 patients showed that high PLR is associated with poor OS in various cancers [7]. Several studies have shown that NLR and PLR are associated with the prognosis in patients with stage I–IV NSCLC [3,6,10-12]. However, previous studies had heterogeneity in stage and treatment modalities.

This study aimed to evaluate the prognostic and predictive value of NLR and PLR in patients with locally advanced NSCLC with CCRT as first-line treatment.

Materials and Methods

1. Patients

We retrospectively analyzed 66 patients with locally advanced NSCLC treated with CCRT between 2008 and 2017 at our hospital. The inclusion criteria were as follows: (1) new diagnosis of stage IIIA or IIIB NSCLC according to the 7th edition of the TNM classification of the AJCC, (2) histologically confirmed NSCLC, (3) Eastern Cooperative Oncology Group (ECOG) performance score of 0–2, and (4) lymphocyte and neutrophil counts performed before and after CCRT. The exclusion criteria were as follows: (1) received induction chemotherapy; (2) non-completion of the planned treatment and treatment of ≤50 Gy, (3) history of hematologic malignancies or chemotherapy for other diseases, and (4) evidence of acute infection. A total of 66 patients met the inclusion/exclusion criteria and received definitive CCRT as the first-line treatment. This study was approved by the Institutional Review Board of Seoul St. Mary’s Hospital (No. KC19RESE0254).

2. Chemotherapy

CCRT consisted of weekly chemotherapy using paclitaxel/carboplatin (PC), docetaxel/cisplatin (DP), docetaxel/carboplatin, and etoposide/cisplatin. PC was administered to 37 patients (56.1%), and DP was administered to 26 patients (39.4%). PC chemotherapy was performed with carboplatin (area under the curve [AUC] = 2) and paclitaxel (50 mg/m2) administered on a weekly schedule during CCRT. Docetaxel 20 mg/m2 and cisplatin 20 mg/m2 were administered concomitantly with a weekly schedule.

3. Radiotherapy

Radiotherapy was performed with intensity-modulated radiotherapy or three-dimensional conformal radiotherapy. The gross tumor volume (GTV) included both primary lung mass and involved lymph nodes visible on imaging (≥1 cm on CT and/or PET-CT) or histologically proven nodes by endobronchial ultrasound (EBUS) or endoscopic ultrasound (EUS). The clinical target volume (CTV) was defined as an extension of 5 mm in all directions of the GTV. The planning target volume (PTV) was generated by expanding an additional margin (generally 5–10 mm) to the CTV for the setup error and respiratory movement according to the assessment in four-dimensional CT. Elective nodal irradiation was not allowed. The median radiation dose was 66 Gy in 33 fractions (range, 52 to 72.6 Gy).

4. NLR and PLR

The pre-CCRT NLR and PLR were calculated from the nearest complete blood count (CBC) within 1 week before the start of CCRT. The post-CCRT NLR and PLR were calculated 4 weeks after CCRT. When CBC was performed several times after CCRT, it was calculated using the CBC values nearest to the 4 weeks’ time interval from the end of the CCRT. For patients who underwent consolidation chemotherapy after CCRT, post-CCRT NLR and NLR were calculated using CBC before consolidation chemotherapy. NLR change was calculated by dividing the post-CCRT NLR by the pre-CCRT NLR. The PLR change was also calculated by dividing the post-CCRT value by the pre-CCRT value.

5. Response and follow-up

The treatment response was evaluated by Response Evaluation Criteria In Solid Tumors (RECIST) criteria. Locoregional progression was defined as progressive disease in the ipsilateral lung, both mediastinal lymph nodes, and both supraclavicular regions. Distant metastasis was defined as any metastasis outside the chest and contralateral lung.

6. Statistical analysis

The maximally selected log-rank test was used to acquire the most significant NLR and PLR level related with OS. Continuous variables were analyzed using the independent t-test or Mann-Whitney U test, and categorical variables were analyzed using the chi-square test. We primarily evaluated the OS difference according to NLR and PLR cutoff level and also observed the difference in locoregional progression-free survival (LRPFS) and distant metastasis-free survival (DMFS). The OS, LRPFS, and DMFS were calculated from the first day of CCRT to the date of death, locoregional recurrence, and distant metastasis or most recent follow-up visit using the Kaplan-Meier method. Univariate analysis was performed using the log-rank test including all patients, tumor related factors, and hematological parameters. The significant variables on univariate analysis were evaluated on multivariate analysis. Multivariate analysis was performed including the lymphocyte-related hematological parameters to eliminate collinearity between the parameters, using Cox proportional hazard model (method, forward). All tests were two-sided, and p-values of <0.05 indicated statistical significance. All statistical analyses were performed using R version 3.5.3 (R Development Core Team, Vienna, Austria).

Results

1. Patient characteristics

Patients’ characteristics are shown in Table 1. The median age was 64 years (range, 40 to 78 years), and most patients were male (84.8%). There were 23 patients (34.8%) with stage IIIA, and 43 patients (65.2%) with stage IIIB. A total of 33 patients (50.0%) were diagnosed with squamous cell carcinoma, and 29 patients (43.9%) were diagnosed with adenocarcinoma. Moreover, 37 patients (56.1%) received PC chemotherapy, and 26 patients (39.4%) received DP chemotherapy. Most patients (95.5%) had ECOG performance status 0–1. The median pre-CCRT NLR, post-CCRT NLR, and NLR change were 2.7 (range, 1.03 to 16.03), 3.0 (range, 0.74 to 44.62), and 1.2 (range, 0.05 to 11.02), respectively. Furthermore, the median pre-CCRT PLR, post-CCRT PLR, and PLR change were 145.5 (range, 75 to 453), 172.5 (range, 38 to 898), and 1.1 (range, 0.33 to 7.18), respectively.

Table 1.

Patients’ characteristics

Characteristic All NLR change
p-value
≤1.61 >1.61
Gender 0.476
 Male 56 (84.8) 36 (81.8) 20 (90.9)
 Female 10 (15.2) 8 (18.2) 2 (9.1)
Age (yr) 0.066
 ≤65 36 (54.5) 28 (63.6) 8 (36.4)
 >65 30 (45.5) 16 (36.4) 14 (63.6)
Stage 0.927
 IIIA 23 (34.8) 16 (36.4) 7 (31.8)
 IIIB 43 (65.2) 28 (63.6) 15 (68.2)
T stage 0.654
 T0–2 25 (37.9) 18 (40.9) 7 (31.8)
 T3–4 41 (62.1) 26 (59.1) 15 (68.2)
N stage 0.692
 N0–1 6 (9.1) 5 (11.3) 1 (4.5)
 N2 26 (39.4) 16 (36.4) 10 (45.5)
 N3 34 (51.5) 23 (52.3) 11 (50.0)
Smoking history 0.737
 No 12 (18.2) 9 (20.5) 3 (13.6)
 Yes 54 (81.8) 35 (79.5) 19 (86.4)
ECOG performance status 0.815
 0 28 (42.5) 20 (45.5) 8 (36.4)
 1 35 (53.0) 22 (50.0) 13 (59.1)
 2 3 (4.5) 2 (4.5) 1 (4.5)
Pathology 0.915
 Squamous cell carcinoma 33 (50.0) 21 (47.7) 12 (54.6)
 Adenocarcinoma 29 (43.9) 20 (45.5) 9 (40.9)
 Others 4 (6.1) 3 (6.8) 1 (4.5)
Chemotherapy regimen 0.738
 Paclitaxel/carboplatin 37 (56.1) 23 (52.3) 14 (63.7)
 Docetaxel/cisplatin 26 (39.4) 19 (43.2) 7 (31.8)
 Others 3 (4.5) 2 (4.5) 1 (4.5)
Radiation dose (cGy) 6,600 (5,200–7,260) 6,600 (6,000–7,260) 6,600 (5,200–7,000) 0.035
PTV volume (mL) 430 (119–1,050) 384 (119–964) 488 (275–1,050) 0.024
Pre-CCRT NLR 2.7 (1.03–16.03) 2.7 (1.03–16.03) 2.2 (1.09–4.46) 0.176
Pre-CCRT PLR 145.5 (75.0–453.0) 160 (75–453) 132.5 (85–257) 0.165
Post-CCRT NLR 3.0 (0.74–44.62) 2.4 (0.74–7.23) 6.0 (2.63–44.62) <0.001
Post-CCRT PLR 172.5 (38–898) 148.5 (38–379) 265.5 (99–898) <0.001
NLR change 1.2 (0.05–11.02) 0.8 (0.05–1.61) 2.5 (1.65–11.02) <0.001
PLR change 1.1 (0.33–7.18) 0.9 (0.33–1.9) 1.9 (0.91–7.18) <0.001
CRP (mg/dL) 0.9 (0.02–11.51) 0.9 (0.02–10.66) 1.1 (0.08–11.51) 0.663
ESR (mm/hr) 43 (2–120) 40.0 (2–120) 47.5 (4–120) 0.647
LDH (U/L) 419 (213–855) 426 (213–855) 396 (282–603) 0.973

Values are presented as number (%) or median (range).

ECOG, Eastern Cooperative Oncology Group; PTV, planning target volume; CCRT, concurrent chemoradiotherapy; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; NLR change, dividing the post-CCRT NLR by the pre-CCRT NLR; PLR change, dividing the post-CCRT PLR by the pre-CCRT PLR; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; LDH, lactate dehydrogenase.

2. Cut-off values of NLR and PLR

The maximally selected log-rank test was performed to determine optimal cutoff values of NLR and PLR that predict OS. According to the results of the statistics, the optimal cutoff levels were 1.64, 3.12, and 1.61 for the pre-CCRT NLR, post-CCRT NLR, and NLR change. Moreover, the optimal cutoff levels were 115, 141, and 1.67 for the pre-CCRT PLR, post-CCRT PLR, and PLR change. The survival analysis was performed by dividing the patients into two groups based on NLR change (≤1.61 or >1.61) which is most significant for treatment outcome.

Radiation dose, PTV volume, post-CCRT NLR, post CCRT PLR, and PLR change were statistically different between the two NLR change groups. The high NLR change group had higher radiation dose and larger PTV volume than those in the low NLR group (p = 0.035 and p = 0.024, respectively). The levels of post-CCRT NLR, post-CCRT PLR, and PLR change were higher in the high NLR change group (all p < 0.001) (Table 1).

3. OS, LRPFS, and DMFS according to NLR and PLR

The median follow-up duration was 15.4 months (range, 1.5 to 87.7 months). The 1- and 2-year OS rates were 66.7% and 48.1%, respectively. The post-CCRT NLR, PLR and NLR change were significantly associated with OS on univariate analysis. The high post-CCRT NLR group showed significantly worse OS compared to the low NLR group (2-year OS: 25.8% vs. 68.2%, p < 0.001). Moreover, the high post-CCRT PLR had worse OS than the low PLR group (2-year OS: 37.5% vs. 71.1%, p = 0.004). The high NLR change group had worse OS than the low NLR change group (2-year OS: 26.0% vs. 59.0%, p < 0.001). The Kaplan-Meier survival curves for OS according to NLR and PLR are shown in Fig. 1.

Fig. 1.

Fig. 1.

Overall survival (OS) according to NLR and PLR: (A) post-CCRT NLR, (B) NLR change (post-CCRT NLR / pre-CCRT NLR), and (C) post-CCRT PLR. NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; CCRT, concurrent chemoradiotherapy.

The 1- and 2-year LRPFS rates were 37.0% and 23.8%, respectively. The post-CCRT NLR, PLR, and NLR change were significantly associated with LRPFS. The high post-CCRT NLR group showed significantly worse LRPFS compared to the low NLR group (2-year LRPFS: 12.9 vs. 33.8%, p = 0.010). The high post-CCRT PLR group had worse LRPFS than the low PLR group (2-year LRPFS: 16.5% vs. 40.3%, p = 0.040). The high NLR change group had worse LRPFS than the low NLR change group (2-year LRPFS: 6.8% vs. 31.8%, p = 0.004). The Kaplan-Meier survival curves for LRPFS according to NLR and PLR are shown in Fig. 2.

Fig. 2.

Fig. 2.

Locoregional progression-free survival (LRPFS) according to to NLR and PLR: (A) post-CCRT NLR, (B) NLR change (post-CCRT NLR / pre-CCRT NLR), and (C) post-CCRT PLR. NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; CCRT, concurrent chemoradiotherapy.

The 1- and 2-year DMFS rates for all patients were 43.2% and 30.5%, respectively. The high post-CCRT NLR was significantly associated with worse DMFS. The median DMFS for high post-CCRT NLR group was 6.9 months compared with 12.2 months for low NLR group (p = 0.030) (Fig. 3).

Fig. 3.

Fig. 3.

Distant metastasis-free survival (DMFS) according to post-CCRT neutrophil-to-lymphocyte ratio (NLR).

4. Prognostic factor

We performed a univariate analysis to identify the prognostic factor for OS and LRPFS. Univariate analysis showed that PTV volume, post-CCRT NLR, post-CCRT PLR, and NLR change were significantly associated with OS (Table 2). Age, gender, stage, ECOG, pathology, chemotherapy regimen, other inflammatory marker (ESR, CRP, and LDH), pre-CCRT NLR, and PLR were not associated with OS. The PTV volume (hazard ratio [HR] = 2.05; 95% confidence interval [CI], 1.08–3.90; p = 0.028) and NLR change (HR = 3.17; 95% CI, 1.16–8.69; p = 0.025) were found as the significant prognostic factors for OS in the multivariate analysis (Table 3).

Table 2.

Univariate analysis for OS and LRPFS

Factor No. of patients 2-yr OS (%) p-value 2-yr LRPFS (%) p-value
Gender 0.800 0.800
 Male 56 46.1 23.0
 Female 10 58.3 30.0
Age (yr) 0.100 0.600
 ≤65 36 57.6 21.5
 >65 30 36.7 26.3
Stage 0.800 0.600
 IIIA 23 52.2 22.8
 IIIB 43 45.6 23.8
T stage 0.050 0.200
 T0–2 25 63.2 30.9
 T3–4 41 39.0 19.5
N stage 0.700 0.800
 N0–1 6 66.7 40.0
 N2 26 50.0 18.5
 N3 34 43.1 25.2
Smoking history 0.600 0.700
 No 12 48.6 25.0
 Yes 24 47.8 23.8
ECOG performance status 0.400 0.500
 0 28 52.5 27.9
 1 35 45.7 19.6
 2 3 33.3 33.3
Pathology 0.700 0.800
 Squamous cell carcinoma 33 42.4 24.2
 Adenocarcinoma 29 52.5 26.9
 Others 4 50.0 -
Chemotherapy regimen 1.000 0.700
 Paclitaxel/carboplatin 37 48.0 22.5
 Docetaxel/cisplatin 26 50.0 24.1
 Others 3 33.3 33.3
Radiation dose (cGy) 0.300 0.800
 ≤6,600 63 47.2 22.9
 >6,600 3 66.7 50.0
PTV volume (mL) 0.010 0.100
 ≤412 35 62.6 31.8
 >412 31 31.1 16.1
Pre-CCRT NLR 0.090 0.600
 ≤1.64 12 64.8 36.7
 >1.64 54 44.4 21.5
Pre-CCRT PLR 0.100 0.700
 ≤115 19 62.7 28.2
 >115 47 42.5 22.5
Post-CCRT NLR <0.001 0.010
 ≤3.12 35 68.2 33.8
 >3.12 31 25.8 12.9
Post-CCRT PLR 0.004 0.040
 ≤141 21 71.1 40.3
 >141 45 37.5 16.5
NLR change <0.001 0.004
 ≤1.61 44 59.0 31.8
 >1.61 22 26.0 6.8
PLR change 0.100 0.200
 ≤1.67 48 49.6 27.0
 >1.67 18 43.8 16.7
CRP (mg/dL) 0.090 0.300
 ≤0.47 18 66.2 25.9
 >0.47 45 40.0 20.3
ESR (mm/hr) 0.200 0.300
 ≤15 9 66.7 33.3
 >15 54 44.3 20.3
LDH (U/L) 0.700 1.000
 ≤450 45 46.7 24.1
 >450 21 51.3 25.1

OS, overall survival; LRPFS, locoregional progression-free survival; ECOG, Eastern Cooperative Oncology Group; PTV, planning target volume; CCRT, concurrent chemoradiotherapy; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; NLR change, dividing the post-CCRT NLR by the pre-CCRT NLR; PLR change, dividing the post-CCRT PLR by the pre-CCRT PLR; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; LDH, lactate dehydrogenase.

Table 3.

Multivariate analysis for OS and LRPFS

OS
LRPFS
HR (95% CI) p-value HR (95% CI) p-value
PTV volume (mL)
 ≤412 - -
 >412 2.05 (1.08–3.90) 0.028 1.59 (0.89–2.86) 0.116
Pre-CCRT NLR
 ≤1.64 - -
 >1.64 1.28 (0.51–3.24) 0.600 0.96 (0.41–2.25) 0.919
Pre-CCRT PLR
 ≤115 - -
 >115 0.78 (0.35–1.76) 0.553 0.71 (0.32–1.54) 0.385
Post-CCRT NLR
 ≤3.12 - -
 >3.12 1.60 (0.68–3.81) 0.285 1.56 (0.70–3.52) 0.279
Post-CCRT PLR
 ≤141 - -
 >141 2.18 (0.89–5.33) 0.088 1.79 (0.82–3.90) 0.140
NLR change
 ≤1.61 - -
 >1.61 3.17 (1.16–8.69) 0.025 1.71 (0.72–4.09) 0.227
PLR change
 ≤1.67 - -
 >1.67 0.39 (0.15–1.03) 0.057 0.69 (0.31–1.54) 0.361

OS, overall survival; LRPFS, locoregional progression-free survival; HR, hazard ratio; CI, confidence interval; PTV, planning target volume; CCRT, concurrent chemoradiotherapy; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; NLR change, dividing the post-CCRT NLR by the pre-CCRT NLR; PLR change, dividing the post-CCRT PLR by the pre-CCRT PLR.

The post-CCRT NLR, post-CCRT PLR, and NLR change were also significantly associated with LRPFS on univariate analysis (Table 2). In the multivariate analysis for LRPFS, the post-CCRT NLR, post-CCRT PLR, and NLR change did not predict LRPFS (Table 3).

Discussion and Conclusion

Recent studies have shown that inflammation-related biomarkers were correlated with prognosis in many solid cancers such as colorectal cancer, hepatocellular carcinoma, and NSCLC [3,6-13]. Among inflammation-related biomarkers, NLR and PLR are affordable and easily available markers using CBC.

The correlation of NLR with survival rate could be explained by tumor-related inflammation and immunity [3,10,14-16]. NLR is calculated by dividing neutrophils into lymphocytes, which reflect neutrophilia or lymphopenia. Emerging evidence of animal models showed that a tumor causes neutrophilia by upregulating granulocyte-colony stimulating factor (G-CSF) and granulocyte-macrophage-colony stimulating factor (GM-CSF) [14]. Neutrophils promote tumor growth through several mechanisms. One mechanism is angiogenesis by BV8 and vascular endothelial growth factor (VEGF) stimulated by neutrophils [15,16]. Another mechanism of pro-tumorigenic effects of neutrophils is inhibiting apoptosis [10]. Lastly, tumor-associated chronic inflammation leads to DNA damage by reactive oxygen species (ROS) or reactive nitrogen species (RNS) [17]. Platelet is also known to be associated with tumor growth, angiogenesis, and metastasis [7,18].

Neutrophils and lymphocytes participate in the regulation of adaptive immunity. Neutrophils express inducible nitric oxide synthase (iNOS) or arginase 1 (ARG1) and inhibit CD8+ T cell-mediated anti-tumor immunity [14]. Lymphopenia means the low number of T cell lymphocytes resulting in poor lymphocyte-mediated immune response to the tumor [3].

Previous studies have reported the use of NLR as a prognostic factor for NSCLC. Yin et al. [11] performed a meta-analysis of 14 studies with 2,734 cases to investigate the prognostic role of NLR in lung cancer. They demonstrated that elevated NLR showed worse OS in NSCLC (HR = 1.192; 95% CI, 1.061–1.399) and SCLC (HR = 1.550; 95% CI, 1.061–2.077). This study includes all stages of NSCLC and different treatment methods.

The results of the stage III NSCLC study are as follows: Scilla et al. [10] reported that baseline NLR was a significant prognostic factor in patients with stage IIIA and IIIB NSCLC who received CCRT with or without surgery. Using cutoff point 5, there was a difference in survival rate (median OS: 26 vs. 11 months; p < 0.0001). Tong et al. [3] also analyzed stage III NSCLC treated with CCRT or surgery followed by CRT. They found that patients with pre-treatment NLR ≥3.57 had a significantly worse OS (5-year OS: 20% vs. 8.8%, p < 0.001). The abovementioned studies include some patients who underwent surgery as well as CCRT. In this study, we investigated the prognostic significance of the NLR in patients who received definitive CCRT and exclude treatment-related bias as less as possible.

A recent phase III trial added anti-programmed death ligand 1 (PD-L1) antibody durvalumab as consolidation therapy for patients with stage III NSCLC who did not have disease progression after definitive CCRT [19]. Suh et al. [12] reported post-treatment NLR at week 6 was a prognostic marker in patients with advanced NSCLC treated with anti-PD-1 antibody. In a study by Khunger et al. [20], high post-treatment NLR after 2 cycles of nivolumab was associated with worse OS.

In this study, post-CCRT NLR, post-CCRT PLR, and NLR change were significant prognostic factors for OS and LRPFS on the univariate analysis. However, age, stage, and ECOG performance status were not associated with survival. Even having the limitation of a retrospective study, the patients in our study had relatively homogeneous stage and ECOG performance status.

The PTV volume and NLR change were the significant prognostic factors for OS in the multivariate analysis. Large tumor volume may indicate treatment resistance and a high probability of metastasis [21]. A previous study reported that radiation could affect circulating lymphocytes and cause lymphopenia [22]. In this study, PTV volume was larger in the high NLR change group than in the low NLR change group. It might be that the circulating neutrophils and lymphocytes were affected by the irradiated volume. However, there was no statistically significant correlation between PTV volume and absolute lymphocyte count after CCRT (r = -0.138, p = 0.270). Furthermore, there was no significant correlation between PTV volume and absolute neutrophil count after CCRT (r = 0.144, p = 0.247).

The results of the previous studies and this study showed that chronic inflammation plays a role in the resistance of chemoradiation treatment. NLR change between pre- and post-treatment are believed to indicate systemic inflammation and immune status reflecting the therapeutic effect. Despite high NLR before treatment, the patients whose NLR became low after treatment had better prognosis than the patients whose NLR remained high after treatment. Cannon et al. [23] suggested that PLR may be used in selecting adjuvant systemic treatment for early-stage lung cancer. We believe that patients with high NLR after treatment need frequent follow-up and aggressive adjuvant treatment.

Although NLR has been shown to be associated with patient survival, the cutoff point was so diverse. The range of cutoff points of NLR was from 2.5 to 5 according to a meta-analysis [6]. Our cutoff point for NLR change was 1.61. It is difficult to determine a reference point that can be clinically used; therefore, further studies are needed to confirm optimal cutoff values.

The limitations of our study were its retrospective single-institution design and small number of patients. Moreover, NLR could be affected by other conditions such as treatment-related toxicity. We used 4 weeks after treatment to exclude transient hematologic toxicity, but we cannot rule out that all effects are excluded. Thus, large multi-institutional studies are required to confirm the relationship between NLR and prognosis.

Therefore, we showed that NLR change was most significantly associated with OS in patients with locally advanced NSCLC treated with definitive CCRT. The elevated NLR after treatment may predict the patients at high risk of treatment failure.

Footnotes

Conflict of Interest

No potential conflict of interest relevant to this study was reported.

References

  • 1.Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359–86. doi: 10.1002/ijc.29210. [DOI] [PubMed] [Google Scholar]
  • 2.Berghmans T, Paesmans M, Sculier JP. Prognostic factors in stage III non-small cell lung cancer: a review of conventional, metabolic and new biological variables. Ther Adv Med Oncol. 2011;3:127–38. doi: 10.1177/1758834011401951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Tong YS, Tan J, Zhou XL, Song YQ, Song YJ. Systemic immune-inflammation index predicting chemoradiation resistance and poor outcome in patients with stage III non-small cell lung cancer. J Transl Med. 2017;15:221. doi: 10.1186/s12967-017-1326-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Vrankar M, Stanic K. Long-term survival of locally advanced stage III non-small cell lung cancer patients treated with chemoradiotherapy and perspectives for the treatment with immunotherapy. Radiol Oncol. 2018;52:281–8. doi: 10.2478/raon-2018-0009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.National Comprehensive Cancer Networ . Plymouth Meeting, PA: National Comprehensive Cancer Network; c2018. [cited 2019 Jan 30]. Available from: [cited 2019 Aug 21] Available from: https://www.nccn.org/professionals/physician_gls/default.aspx. [Google Scholar]
  • 6.Templeton AJ, McNamara MG, Seruga B, et al. Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis. J Natl Cancer Inst. 2014;106 doi: 10.1093/jnci/dju124. dju124. [DOI] [PubMed] [Google Scholar]
  • 7.Templeton AJ, Ace O, McNamara MG, et al. Prognostic role of platelet to lymphocyte ratio in solid tumors: a systematic review and meta-analysis. Cancer Epidemiol Biomarkers Prev. 2014;23:1204–12. doi: 10.1158/1055-9965.EPI-14-0146. [DOI] [PubMed] [Google Scholar]
  • 8.Son SH, Park EY, Park HH, Kay CS, Jang HS. Pre-radiotherapy neutrophil-to-lymphocyte ratio as an independent prognostic factor in patients with locally advanced hepatocellular carcinoma treated with radiotherapy. Oncotarget. 2017;8:16964–71. doi: 10.18632/oncotarget.15209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sung S, Son SH, Park EY, Kay CS. Prognosis of locally advanced rectal cancer can be predicted more accurately using pre-and post-chemoradiotherapy neutrophil-lymphocyte ratios in patients who received preoperative chemoradiotherapy. PLoS One. 2017;12:e0173955. doi: 10.1371/journal.pone.0173955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Scilla KA, Bentzen SM, Lam VK, et al. Neutrophil-lymphocyte ratio is a prognostic marker in patients with locally advanced (stage IIIA and IIIB) non-small cell lung cancer treated with combined modality therapy. Oncologist. 2017;22:737–42. doi: 10.1634/theoncologist.2016-0443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Yin Y, Wang J, Wang X, et al. Prognostic value of the neutrophil to lymphocyte ratio in lung cancer: a meta-analysis. Clinics (Sao Paulo) 2015;70:524–30. doi: 10.6061/clinics/2015(07)10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Suh KJ, Kim SH, Kim YJ, et al. Post-treatment neutrophil-to-lymphocyte ratio at week 6 is prognostic in patients with advanced non-small cell lung cancers treated with anti-PD-1 antibody. Cancer Immunol Immunother. 2018;67:459–70. doi: 10.1007/s00262-017-2092-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kim TG, Park W, Choi DH, et al. Effect of leukocyte alteration on treatment outcomes following preoperative chemoradiotherapy in patients with rectal cancer. Radiat Oncol J. 2017;35:217–26. doi: 10.3857/roj.2017.00269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Coffelt SB, Wellenstein MD, de Visser KE. Neutrophils in cancer: neutral no more. Nat Rev Cancer. 2016;16:431–46. doi: 10.1038/nrc.2016.52. [DOI] [PubMed] [Google Scholar]
  • 15.Nozawa H, Chiu C, Hanahan D. Infiltrating neutrophils mediate the initial angiogenic switch in a mouse model of multistage carcinogenesis. Proc Natl Acad Sci U S A. 2006;103:12493–8. doi: 10.1073/pnas.0601807103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Shojaei F, Wu X, Zhong C, et al. Bv8 regulates myeloid-cell-dependent tumour angiogenesis. Nature. 2007;450:825–31. doi: 10.1038/nature06348. [DOI] [PubMed] [Google Scholar]
  • 17.Coussens LM, Werb Z. Inflammation and cancer. Nature. 2002;420:860–7. doi: 10.1038/nature01322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Jain S, Harris J, Ware J. Platelets: linking hemostasis and cancer. Arterioscler Thromb Vasc Biol. 2010;30:2362–7. doi: 10.1161/ATVBAHA.110.207514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Antonia SJ, Villegas A, Daniel D, et al. Durvalumab after chemoradiotherapy in stage III non-small-cell lung cancer. N Engl J Med. 2017;377:1919–29. doi: 10.1056/NEJMoa1709937. [DOI] [PubMed] [Google Scholar]
  • 20.Khunger M, Patil PD, Khunger A, et al. Post-treatment changes in hematological parameters predict response to nivolumab monotherapy in non-small cell lung cancer patients. PLoS One. 2018;13:e0197743. doi: 10.1371/journal.pone.0197743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Liang SB, Teng JJ, Hu XF, et al. Prognostic value of total tumor volume in patients with nasopharyngeal carcinoma treated with intensity-modulated radiotherapy. BMC Cancer. 2017;17:506. doi: 10.1186/s12885-017-3480-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yovino S, Kleinberg L, Grossman SA, Narayanan M, Ford E. The etiology of treatment-related lymphopenia in patients with malignant gliomas: modeling radiation dose to circulating lymphocytes explains clinical observations and suggests methods of modifying the impact of radiation on immune cells. Cancer Invest. 2013;31:140–4. doi: 10.3109/07357907.2012.762780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Cannon NA, Meyer J, Iyengar P, et al. Neutrophil-lymphocyte and platelet-lymphocyte ratios as prognostic factors after stereotactic radiation therapy for early-stage non-small-cell lung cancer. J Thorac Oncol. 2015;10:280–5. doi: 10.1097/JTO.0000000000000399. [DOI] [PubMed] [Google Scholar]

Articles from Radiation Oncology Journal are provided here courtesy of Korean Society for Therapeutic Radiology and Oncology

RESOURCES