Literature DB >> 25914549

Prognostic significance of neutrophil-to- lymphocyte ratio in esophageal cancer: a meta-analysis.

Xun Yang1, Ying Huang2, Ji-Feng Feng1, Jin-Shi Liu1.   

Abstract

BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR) is a useful predictive factor in several cancers. However, the prognostic value of NLR in patients with esophageal cancer (EC) is still controversial. Therefore, it was necessary for us to perform a meta-analysis to evaluate the prognostic value of NLR in patients with EC.
METHODS: A systematic literature search was performed by using Web of Science, PubMed Central, and Medline to evaluate the prognostic value of NLR in patients with EC. The deadline of our primary search was July 10, 2014. This meta-analysis was conducted in accordance with PRISMA guidelines. Pooled hazard ratio (HR) with 95% confidence interval (CI) was used to assess the association of NLR and overall survival (OS) and disease-free survival (DFS).
RESULTS: Six studies involving 1,633 patients were included in our meta-analysis. Our pooled results demonstrated that high NLR was associated with poor OS (HR: 1.54, 95% CI: 1.32-1.80, I2=25.3%, P=0.254) and DFS (HR: 1.74, 95% CI: 1.25-2.43, I2=63.9%, P=0.096). Subgroup analysis between NLR and OS was performed in a further investigation. When the patients were segregated according to country, sample size, and pathological type, high NLR was also significantly correlated with OS.
CONCLUSION: High NLR is associated with poor prognosis in patients with EC. NLR may be a significant predictive biomarker in patients with EC.

Entities:  

Keywords:  disease-free survival; esophageal cancer; meta-analysis; neutrophil-to-lymphocyte ratio; overall survival; prognosis

Year:  2015        PMID: 25914549      PMCID: PMC4401207          DOI: 10.2147/OTT.S77099

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Esophageal cancer (EC) is one of the most common cancers worldwide.1 Although there is a significant improvement in the treatment of patients with EC, the prognosis is still poor due to late diagnosis, rapid progression, and high rate of recurrence.2,3 Therefore, it is important for us to identify better predictive factors, especially serum predictive biomarkers, for prognosis in patients with EC. In recent years, systemic inflammatory response has been shown to correlate with prognosis in various cancers.4,5 Various inflammatory biomarkers, such as cytokine, C-reactive protein (CRP), and Glasgow prognostic score, have been investigated in a variety of cancers.6–9 Recent studies have demonstrated that neutrophil-to-lymphocyte ratio (NLR) is associated with prognosis in various cancers.10–12 However, due to the inconsistent results, the prognostic value of NLR in EC remains controversial.13–20 Therefore, it was necessary for us to perform a meta-analysis to evaluate the prognostic value of NLR in patients with EC. In this study, we conducted a meta-analysis to evaluate the prognostic value of NLR for survival in patients with EC. To the best of our knowledge, this is the first meta-analysis to investigate the prognostic role of NLR in patients with EC.

Materials and methods

Literature search

A systematic literature search was performed by using Web of Science, PubMed, and Medline to evaluate the prognostic value of NLR in patients with EC. The search strategy was based on combinations of the following search terms: (“neutrophil–lymphocyte ratio” or “neutrophil-to-lymphocyte ratio” or “neutrophil lymphocyte ratio” or “NLR”) and (“esophageal cancer” or “esophageal carcinoma” or “EC”). The deadline of our primary search was July 10, 2014. Only human research was included in our meta-analysis. In addition, the reference lists of identified studies were also checked for further relevant studies.

Inclusion/exclusion criteria

Inclusion criteria were as follows: 1) patients were diagnosed as having EC by pathology; 2) the NLR was measured before treatment; 3) the NLR was measured by serum-based methods; 4) the relationship between NLR and prognosis (overall survival [OS] and disease-free survival [DFS]) was evaluated; 5) full-text studies without language limits. The exclusion criteria were 1) review, letter, case report, or nonhuman research; 2) insufficient data to extract the hazard ratios (HRs) and the 95% confidence intervals (CIs).

Data extraction

Data from each study were extracted independently by two authors (Yang and Huang). If the results reported had possible overlap, only the most recent or the most complete study was included in this study. The following data were collected for each study: author, year, sample, country, treatment, pathological type, cutoff level, TNM stage, follow-up, and HRs and 95% CIs for the correlation between NLR and prognosis.

Statistical analysis

Pooled HRs and 95% CIs were used to analyze the relationship between NLR and prognosis (OS and DFS). The heterogeneity of combined HRs was initially evaluated by χ-square test and expressed by inconsistency index I2. A significant heterogeneity was defined as P<0.10 or I2>50%.21 A combined HR >1 indicated a worse OS, and it was considered statistically significant if the 95% CI for the HR did not overlap. Publication bias was assessed using Begg’s funnel plot and Egger’s linear regression test. All statistical analyses were conducted with Stata version 12.0 (Stata Corporation, College Station, TX, USA).

Results

According to the search strategies, a total of six eligible studies, including 1,633 patients with EC, were included in this meta-analysis.13–18 Sato et al19 demonstrated the correlation between NLR and the response to neoadjuvant chemotherapy. Thus, we excluded it from this study. Rashid et al20 reported the opposite conclusion. However, we could not extract the data from the manuscript because of insufficient data. Therefore, we excluded Rashid’s study as well. The main characteristics of the six included studies are listed in Table 1.
Table 1

Characteristics of included studies

AuthorCountrySample size (M/F)TreatmentSurvival analysisPathological typeHR (95% CI)Cutoff levelFollow-up (M)*TNM stage
Sharaiha et al13USA295 (85/27)C/R + SOS, DFSSCC + AC2.32 (1.53–3.50)2.26 (1.44–3.56)5.031 (13–61)I–IV
Miyata et al14Japan152 (132/20)C + SOSSCC1.30 (0.76–2.22)4.060.2 (20.1–120.8)II–IV
Feng et al15People’s Republic of China483 (411/72)SOSSCC1.339 (1.015–1.768)3.545 (3–84)I–III
Yoo et al17South Korea138 (132/6)C/ROSSCC + AC2.115 (1.193–3.749)2.039.5 (1.1–93.4)II–III
Wang et al18People’s Republic of China90 (72/18)SOS, DFSSCC1.316 (0.783–2.214)1.279 (0.780–2.097)1.0NAI–III
Chen and He16People’s Republic of China475 (382/93)S + C/ROSSCC1.50 (1.12–2.02)2.544.9 (2–84.4)I–III

Notes:

Data shown as mean (minimum-maximum).

Abbreviations: M/F, male/female; S, surgery; C/R, chemotherapy/radiotherapy; OS, overall survival; DFS, disease-free survival; SCC, squamous cell carcinoma; AC, adenocarcinoma; NA, not available; M, months.

All these six studies presented data on NLR and OS,13–18 but only two studies reported data on NLR and DFS.13,17 Our pooled results showed that high NLR was associated with poor OS (HR: 1.54, 95% CI: 1.32–1.80, I 2=25.3%, P=0.245) (Figure 1) and DFS (HR: 1.74, 95% CI: 1.25–2.43, I2=63.9%, P=0.096) (Figure 2).
Figure 1

Forest plot of the association between NLR and OS in EC.

Abbreviations: HR, hazard ratio; CI, confidence interval; NLR, neutrophil-to-lymphocyte ratio; OS, overall survival; EC, esophageal cancer.

Figure 2

Forest plot of the association between NLR and DFS in EC.

Abbreviations: HR, hazard ratio; CI, confidence interval; NLR, neutrophil-to-lymphocyte ratio; DFS, disease-free survival; EC, esophageal cancer.

In a further investigation, subgroup analyses were performed (Figure 3). When stratified by “sample size,” the “>300” group yielded a HR of 1.41, and the 95% CI was 1.15–1.73 (Figure 3A). The “≤300” group yielded a HR of 1.76, and the 95% CI was 1.38–2.26 (Figure 3B). In the subgroup analysis by “country,” we found that no matter the patients were Chinese (Figure 3C) or non-Chinese (Figure 3D), high NLR was still a poor predictor for OS. The subgroup analysis by “pathological type” showed that high NLR still yielded a worse OS (Figure 3E and F).
Figure 3

Forest plot of the association between serum CRP and OS in EC by subgroup analyses.

Notes: Subgroup analysis by sample size (A: >300, B: ≤300), country (C: People’s Republic of China, D: not People’s Republic of China), and pathological type (E: SCC, F: SCC + AC).

Abbreviations: HR, hazard ratio; CI, confidence interval; CRP, C-reactive protein; OS, overall survival; EC, esophageal cancer; SCC, squamous cell carcinoma; AC, adenocarcinoma.

Sensitivity analysis showed that no single study could affect the pooled HRs in the present meta-analysis (Figure 4A). The Begg’s funnel plot and Egger’s linear regression test were performed to analyze the publication bias. There was no significant publication bias in our study (Begg’s test: P=0.707, Egger’s test: P=0.521) (Figure 4B and C).
Figure 4

Sensitivity analysis (A) and funnel plot of publication biases (B and C) on the relationship between NLR and OS in EC.

Abbreviations: CI, confidence interval; HR, hazard ratio; SE, standard error; NLR, neutrophil-to-lymphocyte ratio; OS, overall survival; EC, esophageal cancer.

Discussion

To the best of our knowledge, this is the first meta-analysis to investigate the prognostic role of NLR in patients with EC. In this meta-analysis, our pooled results demonstrated that high NLR was associated with poor OS (HR: 1.54, 95% CI: 1.32–1.80, I2=25.3%, P=0.245) and DFS (HR: 1.74, 95% CI: 1.25–2.43, I2=63.9%, P=0.096) in patients with EC. Subgroup analyses between NLR and OS were performed in a further investigation. When the patients were segregated according to country, sample size, and pathological type, high NLR was also significantly correlated with OS. Several meta-analyses demonstrated that NLR can be used as an independent predictive factor and can predict the prognosis of various cancers, including urinary cancer,22 hepatocellular carcinoma,23 and colorectal cancer.24 The results of our study are consistent with those of published reports. Furthermore, the sensitivity analysis showed that no single study could affect the pooled HRs in our meta-analysis. There was no significant publication bias in our study. This finding suggests that our meta-analysis was stable and reliable. The mechanism of the prognostic value of NLR in patients with EC remains unclear. Several reports showed that NLR was associated with tumor-associated macrophages, which promote interleukin-6.25 Furthermore, cancer has been shown to produce various cytokines, such as granulocyte colony-stimulating factor, tumor necrosis factor-α, transforming growth factor-β, interleukin-1, and interleukin-6, which may influence tumor-related neutrophilia.26,27 There were several limitations in our study. First, the number of included studies was limited. Second, the pooled HRs in our study between NLR and OS/DFS were not strong. Empirically, a HR >2 is considered a strongly predictive factor. Therefore, the results should be regarded with caution when using NLR to predict OS/DFS in EC. Moreover, because of the lack of a relevant prospective study, all of the included studies were retrospective. In addition, Rashid’s study was important for our study. However, we excluded it due to insufficient data, which may have influenced our analysis. Therefore, more prospective studies are needed to confirm whether NLR is a prognostic factor in patients with EC. In conclusion, our meta-analysis demonstrated that high NLR was significantly associated with poor OS and DFS in patients with EC. We conclude that NLR might serve as a useful biomarker for EC. However, further large prospective studies should be carried out to confirm whether NLR has a prognostic value in patients with EC.
  27 in total

Review 1.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

2.  Neutrophil-lymphocyte ratio as a prognostic factor in colorectal cancer.

Authors:  S R Walsh; E J Cook; F Goulder; T A Justin; N J Keeling
Journal:  J Surg Oncol       Date:  2005-09-01       Impact factor: 3.454

3.  Prognostic value of an inflammation-based score in patients undergoing pre-operative chemotherapy followed by surgery for esophageal cancer.

Authors:  Hiroshi Miyata; Makoto Yamasaki; Yukinori Kurokawa; Shuji Takiguchi; Kiyokazu Nakajima; Yoshiyuki Fujiwara; Masaki Mori; Yuichiro Doki
Journal:  Exp Ther Med       Date:  2011-06-30       Impact factor: 2.447

4.  Glasgow Prognostic Score is a predictor of perioperative and long-term outcome in patients with only surgically treated esophageal cancer.

Authors:  Yogesh K Vashist; Julian Loos; Josephine Dedow; Michael Tachezy; Guentac Uzunoglu; Asad Kutup; Emre F Yekebas; Jakob R Izbicki
Journal:  Ann Surg Oncol       Date:  2010-10-28       Impact factor: 5.344

5.  Correlation between the pretherapeutic neutrophil to lymphocyte ratio and the pathologic response to neoadjuvant chemotherapy in patients with advanced esophageal cancer.

Authors:  Hiroshi Sato; Yasuhiro Tsubosa; Tatsuyuki Kawano
Journal:  World J Surg       Date:  2012-03       Impact factor: 3.352

6.  Preoperative neutrophil-to-lymphocyte ratio as a prognostic predictor after curative resection for hepatocellular carcinoma.

Authors:  D Gomez; S Farid; H Z Malik; A L Young; G J Toogood; J P A Lodge; K R Prasad
Journal:  World J Surg       Date:  2008-08       Impact factor: 3.352

Review 7.  Role of blood platelets in infection and inflammation.

Authors:  Matthias H F Klinger; Wolfgang Jelkmann
Journal:  J Interferon Cytokine Res       Date:  2002-09       Impact factor: 2.607

8.  Significance of preoperative C-reactive protein as a parameter in patients with small cell carcinoma of the esophagus.

Authors:  Ji-Feng Feng; Hong-Guang Zhao; Jin-Shi Liu; Qi-Xun Chen
Journal:  Onco Targets Ther       Date:  2013-08-22       Impact factor: 4.147

9.  Prognostic role of NLR in urinary cancers: a meta-analysis.

Authors:  Yong Wei; Ya-Zhi Jiang; Wen-Hui Qian
Journal:  PLoS One       Date:  2014-03-18       Impact factor: 3.240

10.  A pre-operative elevated neutrophil: lymphocyte ratio does not predict survival from oesophageal cancer resection.

Authors:  Farhan Rashid; Naseem Waraich; Imran Bhatti; Shopan Saha; Raheela N Khan; Javed Ahmed; Paul C Leeder; Mike Larvin; Syed Y Iftikhar
Journal:  World J Surg Oncol       Date:  2010-01-06       Impact factor: 2.754

View more
  27 in total

1.  Impact of Antiplatelet and Anticoagulant Therapies on Platelet-related Prognostic Markers in Patients With Esophageal Cancer.

Authors:  Yusuke Ishibashi; Hironori Tsujimoto; Keita Kouzu; Yujiro Itazaki; Satoshi Tsuchiya; Seiichiro Fujishima; Yoshihisa Yaguchi; Hidekazu Sugasawa; Shinsuke Nomura; Nozomi Ito; Manabu Harada; Hiromi Nagata; Eiji Shinto; Yoji Kishi; Hideki Ueno
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

2.  Prognostic significance of neutrophil-to-lymphocyte ratio in non-small cell lung cancer: a meta-analysis.

Authors:  Xiao-Bin Gu; Tian Tian; Xiao-Jing Tian; Xiao-Jun Zhang
Journal:  Sci Rep       Date:  2015-07-24       Impact factor: 4.379

3.  Prognostic Role of Neutrophil-to-Lymphocyte Ratio in Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy.

Authors:  Jinwen Shen; Yuan Zhu; Wei Wu; Lingnan Zhang; Haixing Ju; Yongtian Fan; Yuping Zhu; Jialin Luo; Peng Liu; Ning Zhou; Ke Lu; Na Zhang; Dechuan Li; Luying Liu
Journal:  Med Sci Monit       Date:  2017-01-19

4.  Red blood cell distribution width as a predictor of survival in nasal-type, extranodal natural killer/T-cell lymphoma.

Authors:  Huaichao Luo; Xiaoying Quan; Xiao-Yu Song; Li Zhang; Yilin Yin; Qiao He; Shaolei Cai; Shi Li; Jian Zeng; Qing Zhang; Yu Gao; Sisi Yu
Journal:  Oncotarget       Date:  2017-09-30

5.  A novel inflammation-based prognostic index for patients with esophageal squamous cell carcinoma: neutrophil lymphocyte ratio/albumin ratio.

Authors:  Qiang Zhao; Sheng Chen; Ji-Feng Feng
Journal:  Oncotarget       Date:  2017-10-20

6.  Prognostic role of neutrophil-lymphocyte ratio in nasopharyngeal carcinoma: A meta-analysis.

Authors:  Yukinori Takenaka; Takahiro Kitamura; Ryohei Oya; Naoki Ashida; Kotaro Shimizu; Kazuya Takemura; Yoshifumi Yamamoto; Atsuhiko Uno
Journal:  PLoS One       Date:  2017-07-17       Impact factor: 3.240

Review 7.  Elevated Preoperative Neutrophil-Lymphocyte Ratio Is Associated with Poor Prognosis in Hepatocellular Carcinoma Patients Treated with Liver Transplantation: A Meta-Analysis.

Authors:  Xiao-Dong Sun; Xiao-Ju Shi; Yu-Guo Chen; Chuan-Lei Wang; Qiang Ma; Guo-Yue Lv
Journal:  Gastroenterol Res Pract       Date:  2015-12-30       Impact factor: 2.260

8.  The Neutrophil to Lymphocyte Ratio on Admission and Short-Term Outcomes in Orthogeriatric Patients.

Authors:  Alexander Fisher; Wichat Srikusalanukul; Leon Fisher; Paul Smith
Journal:  Int J Med Sci       Date:  2016-07-05       Impact factor: 3.738

9.  The ratio of hemoglobin to red cell distribution width as a novel prognostic parameter in esophageal squamous cell carcinoma: a retrospective study from southern China.

Authors:  Peng Sun; Fei Zhang; Cui Chen; Xiwen Bi; Hang Yang; Xin An; Fenghua Wang; Wenqi Jiang
Journal:  Oncotarget       Date:  2016-07-05

10.  The Preoperative Neutrophil-To-Lymphocyte Ratio Is a Novel Immune Parameter for the Prognosis of Esophageal Basaloid Squamous Cell Carcinoma.

Authors:  Qin Xiao; Baihua Zhang; Xiang Deng; Jie Wu; Hui Wang; Yonggang Wang; Wenxiang Wang
Journal:  PLoS One       Date:  2016-12-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.