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Journal of Cancer logoLink to Journal of Cancer
. 2018 Feb 12;9(5):861–871. doi: 10.7150/jca.23367

The value of neutrophil-to-lymphocyte ratio for response and prognostic effect of neoadjuvant chemotherapy in solid tumors: A systematic review and meta-analysis

Xuan Li 1,#, Danian Dai 1,#, Bo Chen 1,#, Hailin Tang 1, Xiaoming Xie 1,✉, Weidong Wei 1,✉
PMCID: PMC5868150  PMID: 29581764

Abstract

Introduction: The neutrophil-to-lymphocyte ratio (NLR) has been found to be an indicator of poor prognosis in many tumour types. However, little is known about the relationship between the NLR and patients with tumours who receive neoadjuvant chemotherapy (NAC) in terms of response rate and prognostic ability. We thus performed this meta-analysis to further investigate this relationship.

Methods: An electronic systematic literature search for articles published before September 2017 was performed to explore the association between the pretreatment NLR and outcome in patients treated with NAC. Data were extracted by the reported odds ratios (ORs) and hazard ratios (HRs) with their 95% confidence intervals (CIs) for the response rate and the survival outcome, respectively. The results were pooled using the random-effect or fixed-effect model.

Results: Thirty-three studies were eventually included in our study, and all were published no earlier than 2011. An NLR that was higher than the cut-off was associated with a lower pathological complete response (pCR) rate in patients with cancer (OR = 1.72, 95% CI, 1.26-2.33). A lower NLR was associated with better overall survival (OS) (HR = 1.58, 95% CI, 1.34-1.86), cancer-specific survival (CSS) (HR = 2.22, 95% CI, 1.32-3.74), disease-free survival (DFS) (HR = 1.32, 95% CI, 1.10-1.59) and recurrence-free survival (RFS) (HR = 1.90, 95% CI, 1.50-2.40).

Conclusion: Overall, an NLR lower than the cut-off value indicated a greater chance for pCR and may predict good survival outcomes after NAC for patients with solid tumours. The use of the NLR for risk stratification before NAC should be further demonstrated by future large-scale prospective studies.

Keywords: Neutrophil to lymphocyte ratio (NLR), prognosis, solid cancer, neoadjuvant therapy, meta-analysis

Introduction

Neoadjuvant chemotherapy or chemoradiation therapy plays an important role in the treatment of locally advanced cancer. In bladder cancer, platinum-based combination neoadjuvant chemotherapy has shown obvious improvements in survival, and the Canadian Association of Genitourinary Medical Oncologists (CAGMO) reached a consensus with respect to the use of neoadjuvant chemotherapy in muscle invasive bladder cancer to improve patient outcomes1, 2. Neoadjuvant chemotherapy regimens used in breast cancer not only increased the rate of breast-conserving surgery but also reduced the risk of some negative outcomes3. It is well known that the significantly improved outcome in patients is closely associated with pathological complete response (pCR) after NAC4, 5. Researchers have proposed the use of many markers, such as mutated genes, that are associated with the response to neoadjuvant treatment6, 7. However, those markers are not easily assessable, and until now, no proven clinical biomarkers have been widely accepted to predict the tumour response after NAC. Therefore, an accurate marker is needed as it can prevent futile chemotherapy in patients so that they can receive definitive surgery in time.

Currently, increasing evidence shows that tumour-associated inflammation may be associated with systemic inflammation and may play an important role in cancer development, survival and chemo-sensitivity8-12. Inflammation affects blood parameters first, and abnormalities in blood cells such as neutrophilia and lymphopenia have been found in patients with tumours. The neutrophil-to-lymphocyte ratio (NLR) is an easily available and inexpensive marker of inflammation, and an elevated NLR has been used as a marker of poor prognosis in many tumours13. Some studies have explored the crosstalk between inflammation and chemo-sensitivity in cancer patients and found that a low NLR may be associated with a high response to NAC14, 15. The direct impact of the NLR on the survival of patients after NAC remains inconclusive.

One aim of our meta-analysis was to study the level of pretreatment NLR and its relationship to the pathologic complete response to NAC in patients with solid tumours. The other aim was to evaluate the prognostic value of NLR with respect to the survival outcome in cancer patients after NAC by pooling the eligible results.

Methods

Search strategy

This meta-analysis was conducted according to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Relevant articles published until September 2017 were identified through searches of PubMed, Embase and the Web of Science. The related keywords used were “tumour” OR “cancer” OR “neoplasm” AND “neoadjuvant chemotherapy” OR “preoperative chemotherapy” OR “primary chemotherapy” AND “neutrophils” AND “lymphocyte” AND “ratio”. Other references from previously published studies were also searched.

Study selection

Two independent authors selected the identified studies. The inclusion criteria were as follows: (1) Studies that involved patients with solid tumours who received neoadjuvant chemotherapy or neoadjuvant chemoradiation and that reported the prognostic impact of the peripheral blood NLR; in these studies, the NLR appeared as a categorical variable. (2) Studies that provided the relationship between the NLR and pCR after neoadjuvant treatment as odds ratios (ORs) with 95% confidence intervals (CIs) or studies that provided data on the number of patients who achieved pCR in the low and high NLR groups. The definition of pCR was classified as the complete absence of cancer tissue in all postoperative material. (3) Studies that provided survival data such as overall survival (OS), cancer-specific survival (CSS), disease-free survival (DFS), progression-free survival (PFS) and recurrence-free survival (RFS) in the form of hazard ratios (HRs) with 95% confidence intervals (CIs). The definitions of DFS and PFS were similar and can be combined in an analysis. (4) If duplicate or overlapping data appeared, the study report with the most samples and comprehensive information was included. (5) Abstracts from which useful information could be extracted and those with clear treatment methods were also included.

Data extraction

Two reviewers independently extracted the useful data from the eligible studies. The following information was gathered: first author's name, publication year, publication type, tumour type, research region, entire sample size, the cut-off value of the NLR, the methods by which the NLR was obtained, neoadjuvant treatment methods, neoadjuvant treatment response information, and survival outcome types. The results of multivariable analyses were given precedence, but otherwise, the results of univariate analyses were extracted.

Quality assessment

The quality of the included studies was assessed using the Newcastle-Ottawa Scale (NOS) tool. The NOS tool included three main domains: study selection (0-4 points), comparability (0-2 points) and results assessments (o-4 points). Studies were rated as high quality if the NOS scored six or higher, otherwise rated as low quality. Two independent authors performed this work, and any discrepancies were resolved by discussion.

Statistical analyses

We used RevMan 5.3 (The Cochrane Collaboration, Copenhagen, Denmark) to pool the results of our meta-analysis. The pCR values and the total number of patients in the low and high NLR groups were extracted to calculate the ORs and 95% CIs; then, these results were pooled with other ORs that were provided directly to obtain the final results. A pooled OR >1 frequently indicated that a low NLR was related to a relatively better pCR rate. The HR was representative of the high blood NLR over the low blood NLR. HRs > 1 implied a poor prognosis while HRs < 1 implied a good prognosis. Heterogeneity was assessed using Cochran Q (p value for heterogeneity) and I2 statistics. An I2 > 50% or a p < 0.1 indicated significant heterogeneity then a random-effect model was used, but otherwise, a fixed-effect model was used. Subgroup analyses were performed according to our data features such as publication type, research region, tumour type, and cut-off NLR values, among others, to determine the potential source of heterogeneity.

Publication bias was assessed by Egger's test and P>|t| < 0.05 indicated significant publication bias. When publication bias existed, trim-and-fill methods were applied by adding the missing studies to the meta-analysis, and the new pooled results were recalculated to adjust the primary results. These analyses were performed using StataSE (StataCorp, College Station, TX, USA) software.

Results

Study characteristics

In summary, 1167 records were identified, from which 33 records met all our criteria and finally included in our meta-analysis. All the enrolled studies were published between 2011 and 2017, and 27 contained full-text data, while 6 contained supplemental abstract data (Figure 1). In all, 6243 individuals were included in the analysis with a sample size that ranged from 41 to 845. Five studies on bladder cancer16-20, eight on breast cancer15, 21-27, twelve on rectal cancer28-39, six on gastroesophageal cancer40-45, one on head and neck squamous cell carcinoma46 and one on intrahepatic cholangio carcinoma47. Eighteen studies reported the relationship between the NLR and pCR, and twenty-four studies reported the association between the NLR and outcomes (OS, CSS, DFS, RFS) in patients who received NAC. The cut-off value of the NLR was reported in 32 studies but was unclear in one study (Table 1).

Figure 1.

Figure 1

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Flow chart of the study search.

Table 1.

Baseline characteristics of included studies.

Author Publish year Publish type Tumor type Country Sample size NLR cut-off Method for NLR cut-off value chose Neoadjuvant treatment type Response rate reported (yes/no) Types of outcome reported NOS score
Buisan 2017 full Muscle-invasive Bladder cancer German 75 2.5 ROC chemotherapy yes PFS, CSS, OS 7
Kessel 2016 full Muscle-invasive Bladder cancer Netherlands 123 2.21 ROC chemotherapy yes NA 8
Leibowitz-Amit 2016 full Muscle-invasive Bladder cancer Israel 55 3 NA chemotherapy yes NA 8
Mmeje 2016 Abstract Bladder cancer American 584 4.9 CART models chemotherapy no CSS, OS 6
Siano 2016 Abstract Muscle-invasive Bladder cancer American 272 3 NA chemotherapy no PFS, OS 5
Asano 2015 full Triple-negative breast cancer Japan 61 3 NA chemotherapy yes DFS, OS 8
Chen Y 2016 full Breast cancer China 215 2.1 ROC chemotherapy yes RFS, CSS 8
Enriquez 2017 Abstract Triple-negative breast cancer Peru 338 3 NA chemotherapy yes DFS, OS 6
Hernandez 2017 full Breast cancer Spain 150 3.33 ROC chemotherapy yes NA 7
Koh 2014 full ER positive and/or PR positive and HER2-negative breast cancer Korea 157 2.25 ROC chemotherapy yes RFS, OS 9
McGuire 2017 Abstract Breast cancer Ireland 211 3 NA chemotherapy yes NA 5
Suppan 2015 full Breast cancer Austria 247 NA NA chemotherapy yes DFS 8
Xu 2017 full Breast cancer China 128 1.67 ROC chemotherapy yes NA 7
Caputo 2016 full Rectal cancer Italy 87 2.8/3.8 ROC chemoradiation yes NA 7
Carruthers 2012 full Locally advanced rectal cancer UK 115 5 Pre-search data chemoradiation no OS, DFS 8
Dudani 2017 Abstract Local advanced rectal cancer Canada 845 4 NA chemoradiation yes NA 6
Hodek 2016 full Local advanced rectal cancer Czech 173 2.8 χ2 text chemoradiation no OS 7
Kim 2014 full Rectal cancer Korea 102 3 Experience chemoradiation yes RFS, CSS 7
krauthamer 2013 full Advanced rectal cancer Israel 140 5 ROC chemoradiation yes NA 7
Lee 2017 full Local advanced rectal cancer Korea 291 5 NA chemoradiation yes NA 8
Nagasaki 2015 full locally advanced low rectal cancer Japan 140 3 ROC chemotherapy yes OS, RFS 8
Runau 2017 full Local advanced rectal cancer UK 277 4.32 ROC chemoradiation yes OS 7
Shen J 2017 full Local advanced rectal cancer China 202 3 ROC chemoradiation yes OS,DFS 8
Shen L 2014 full Local advanced rectal cancer China 199 2.8 ROC chemoradiation no OS, DFS 8
Sung 2017 full Local advanced rectal cancer Korea 49 1.75 The maximally selected log-rank test in R version chemoradiation yes DFS 7
Aziz 2014 full Locally advanced gastric cancer Egypt 70 3 NA chemotherapy no PFS, OS 7
Chen L 2017 full Advanced gastric cancer China 91 2.17 ROC chemotherapy yes DFS, OS 8
Jin 2017 full Advanced gastric cancer China 119 2.23 ROC chemotherapy no RFS, OS 7
Ji 2016 full Local advanced esophageal cancer China 41 5 NA chemotherapy no CSS, PFS 8
Miyata 2011 full Esophageal cancer Japan 152 4 NA chemotherapy no OS 7
Salih 2016 Abstract Oesophageal/gastroesophageal junction (O/GOJ) adenocarcinoma UK 368 3 NA chemotherapy no OS 6
Rosculet 2017 full Head and neck squamous cell carcinoma American 123 2.7 Median value chemoradiation no OS, RFS 7
Omichi 2017 full Intrahepatic cholangiocarcinoma American 43 3 NA chemotherapy no RFS, OS 8
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Abbreviations: NLR: neutrophil-to-lymphocyte ratio; NOS: Newcastle-Ottawa Scale; OS: overall survival; CSS: cancer special survival; DFS: disease-free survival; RFS: recurrence-free survival; NA: not available; ROC: receiver operating characteristic curve.

Relationship between the NLR and pCR

Eighteen studies reported the relationship between the NLR and pCR. A lower NLR was associated with a higher pCR rate (OR = 1.72, 95% CI, 1.26-2.33, I2 = 66%, random effect model; Figure 2). Bladder cancer, breast cancer and rectal cancer were the three most common tumour types involved, and among them, bladder cancer (OR = 1.95, 95% CI, 1.16-3.29, I2 = 0%) and rectal cancer (OR = 2.01, 95% CI, 1.14-3.55, I2 = 55%) demonstrated statistical significance, while breast cancer did not demonstrate statistical significance (OR = 1.41, 95% CI, 0.91-2.19, I2 = 68%). A stratified analysis using data from the full-texts or abstracts showed that a low NLR from the full-texts was significantly associated with the pCR rate (OR = 1.91, 95% CI, 1.28-2.84); however, a low NLR from the abstracts was not significantly associated with the pCR rate (OR = 1.35, 95% CI, 0.88-2.07). When the data were stratified according to the geographic region, for research conducted in Asia (OR = 1.82, 95% CI, 1.18-2.81) and the North America (OR = 1.64, 95% CI, 1.03-2.61), the NLR data were significantly associated with the pCR rate, while for the studies conducted in Europe, the data (OR = 1.73, 95% CI, 0.92-3.27) did not show a statistical association. For the different NLR cut-off values, NLR values higher than 3 showed an obvious association between the NLR and the pCR (OR = 3.00, 95% CI, 1.48-6.12). In contrast, values equal to 3 (OR = 1.52, 95% CI, 0.95-2.44) or lower than 3 (OR = 1.64, 95% CI, 0.97-2.77) did not show a significant association between the NLR and the pCR (Table 2).

Figure 2.

Figure 2

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Forest plots for association between NLR and pCR.

Table 2.

Subgroup analyses of the associations between NLR and OS, DFS and pCR

Variables Overall survival (OS) Disease-free survival (DFS) pathological complete response (pCR)
No of studies HR (95%CI) I2, Phet Pinteraction No of studies HR (95%CI) I2, Phet Pinteraction No of studies OR (95%CI) I2, Phet Pinteraction
Total 18 1.58 (1.34-1.86) p < 0.0001 11 1.32 (1.10-1.59) p < 0.0001 18 1.72 (1.26-2.33) p < 0.0001
Publication type p = 0.63 p = 0.28 p = 0.24
Full text 14 1.70 (1.34-2.16) p < 0.0001 9 1.27 (1.03-1.55) p = 0.0004 15 1.91 (1.28-2.84) p < 0.0001
Abstract 4 1.53 (1.04-2.23) p < 0.0001 2 1.51 (1.18-1.92) p = 0.71 3 1.35 (0.88-2.07) p = 0.23
Research region p = 0.002 p = 0.74 p = 0.98
Asia 8 1.65 (1.15-2.35) p = 0.05 5 1.31 (0.88-1.96) p = 0.09 10 1.82 (1.18-2.81) p = 0.10
Europe 4 1.18 (1.01-1.38) p = 0.002 3 1.24 (0.94-1.63) p < 0.0001 6 1.73 (0.92-3.27) p = 0.001
North America 4 2.03 (1.59-2.59) p = 0.34 1 1.59 (1.10-2.29) - 1 1.64 (1.03-2.61) -
Others 2 1.92 (1.09-3.39) p = 0.22 2 1.44 (1.07-1.94) p = 0.93 1 1.58 (0.80-3.12) -
Sample size p = 0.78 p = 0.88 p = 0.08
< 100 5 1.57 (0.99-2.49) p = 0.05 5 1.37 (1.03-1.83) p = 0.23 5 2.50 (1.63-3.83) p = 0.56
>100 13 1.69 (1.35-2.11) p < 0.0001 6 1.33 (1.00-1.77) p = 0.0006 13 1.54 (1.10-2.14) p = 0.001
Tumor type p = 0.19 p = 0.58 p = 0.38
Bladder cancer 3 1.52 (0.97-2.36) p < 0.0001 2 1.32 (1.08-1.61) p = 0.23 3 1.95 (1.16-3.29) p = 0.92
Breast cancer 3 2.26 (0.82-6.28) p = 0.03 3 1.14 (0.87-1.49) p = 0.09 7 1.41 (0.91-2.19) p = 0.005
Rectal cancer 5 1.93 (1.17-3.19) p = 0.001 4 1.84 (0.94-3.60) p = 0.003 7 2.01 (1.14-3.55) p = 0.04
Gastroesophageal cancer 5 1.36 (0.99-1.85) p = 0.09 2 1.34 (0.76-2.36) p = 0.88 1 12.63 (0.68-234.59) -
Others 2 3.04 (1.64-5.64) p = 0.98 - - - - - -
Cut-off value of NLR P = 0.43 p = 0.05 p = 0.27
<3 7 1.46 (1.14-1.87) p = 0.005 4 1.44 (1.05-1.97) p = 0.14 6 1.64 (0.97-2.77) p = 0.35
3 8 1.55 (1.16-2.07) p = 0.002 5 1.31 (1.04-1.63) p = 0.32 6 1.52 (0.95-2.44) p = 0.04
>3 3 2.31 (1.20-4.43) P = 0.01 1 4.10 (1.70-9.89) - 5 3.00 (1.48-6.12) p = 0.08
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Abbreviations: NLR: Neutrophil to lymphocyte ratio; NAC: neoadjuvant chemotherapy; OR: odds ratio; HR: hazard ratios; CI: confidence interval; pCR: pathological complete response; OS: overall survival; CSS: cancer special survival; DFS: disease-free survival; RFS: recurrence-free survival; Phet: pvalue for heterogeneity

Overall survival

Eighteen studies reported HRs for overall survival. Higher NLRs were associated with a poor OS (HR = 1.58, 95% CI, 1.34-1.86, I2 = 77%; Figure 3 (a)). The pooled results of the NLRs for OS among the tumour subgroups showed a statistical association with OS in rectal cancer (HR = 1.93, 95% CI, 1.17-3.19) and other unselected tumours (HR = 3.04, 95% CI, 1.64-5.64), while in bladder cancer (HR = 1.52, 95% CI, 0.97-2.36), breast cancer (HR = 2.26, 95% CI, 0.82-6.28) and gastroesophageal cancer (HR = 1.36, 95% CI, 0.99-1.85), the prognostic effect of the NLR on OS was not statistically significant. A subgroup analysis by research region revealed that the prognostic effect of the NLR was lowest in Europe (HR = 1.18, 95% CI, 1.01-1.38), followed by Asia (HR = 1.65, 95% CI, 1.15-2.35) and was highest in North America (HR = 2.03, 95% CI, 1.59-2.59). A higher cut-off of the NLR showed a higher prognostic effect of the NLR, whereas an NLR lower than 3 with an HR = 1.46 (95% CI, 1.14-1.87), an NLR equal to 3 with an HR = 1.55 (95% CI, 1.16-2.07) and an NLR higher than 3 with an HR = 2.31 (1.20-4.43). Specific data regarding the subgroup analysis are shown in Table 2.

Figure 3.

Figure 3

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Forest plots for associations between NLR and (a) overall survival, (b) cancer special survival, (c) disease-free survival, (d) recurrence-free survival.

Cancer-specific Survival

Only five studies reported the HRs for CSS. Two studies examined bladder cancer, one examined breast cancer, one examined oesophageal cancer and one examined rectal cancer. A higher NLR was associated with poor CSS in all five studies. The pooled HR for CSS was 2.22 (95% CI, 1.32-3.74; Figure 3 (b)) with significant heterogeneity (I2 = 81%) using a random effect model.

Disease-Free survival

Eleven studies reported DFS data. Overall, a lower NLR was associated with higher DFS (HR = 1.32, 95% CI, 1.10-1.59, I2 = 73%, random effect model; Figure 3(c)). When stratified by tumour type, only the results for bladder cancer (HR = 1.32, 95% CI, 1.08-1.61) reached statistical significance. Breast cancer (HR = 1.14, 95% CI, 0.87-1.49), rectal cancer (HR = 1.84, 95% CI, 0.94-3.60) and gastroesophageal cancer (HR = 1.34, 95% CI, 0.76-2.36) all showed a non-significant association between a low NLR and a high DFS. No statistically significant difference was observed among tumour types (Pinteraction = 0.58).

Recurrence-Free Survival

A total of seven records reported the hazard ratios for RFS. The pooled HR for RFS was 1.90 (95% CI, 1.50-2.40) with no heterogeneity (I2 = 36%, fixed effect model; Figure 3 (d)).

Publication Bias

For the pCR and OS subset, the asymmetry of the funnel plot indicated potential publication bias, which was confirmed by Egger's test (all p < 0.001). After adjusting the results using the trim-and-fill method, the pooled OR for pCR was 1.64 (95% CI, 1.22-2.23; Figure 4 (a)), and the pooled HR for OS was 1.37 (95% CI, 1.16-1.62; Figure 4 (b)) according to a random effect model. The results were roughly consistent with the primary results.

Figure 4.

Figure 4

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Funnel plot used trim-and-fill methods for (a) pathological complete response and (b) overall survival.

Discussion

The NLR has been used as a systematic marker of inflammation and has garnered the interest of physicians in recent years. The prognostic significance of the NLR has been demonstrated by many meta-analyses in almost all tumour types48 as well as in select tumour stages49. Some studies have explored the effect of the pretreatment NLR in cancer patients who received neoadjuvant chemotherapy, but the exact results are still undefined. In this meta-analysis, we included 33 studies and found that all studies were published within the past 6 years. Neoadjuvant chemotherapy was not given to patients with certain tumour types, and thus only 6 cancer types were eligible for our study, and among them, more than 2 studies were available for result pooling this only for bladder cancer, breast cancer, rectal cancer and gastroesophageal cancer. After all the relevant results were pooled, we found that a lower NLR was associated with a higher pCR rate and that a lower NLR served as a prognostic indicator, as it was associated with good OS, CSS, DFS and RFS.

The reason why an elevated NLR is associated with a lower pCR rate and worse outcomes is not completely understood. The most reasonable explanation is that the NLR is related to systematic inflammation in patients with tumours50. Host immune system and tumours interaction significantly associated with cancer patients' prognosis and measure some simple systemic immune reaction markers such as neutrophil, lymphocyte and NLR can generally represent the host-tumor interaction conditions51, 52. Neutrophils can produce some types of cytokines, such as transforming growth factor-beta and vascular endothelial growth factor especially after they integrated with cancer cells; this in turn leads to cancer cell proliferation, infiltration and metastasis53-56. In addition, blood neutrophils were found to inhibit the function of lymphocytes when co-incubated these two kind of cells, which may influence patients' immune system57. Lymphocytes, however, are known to play an important role in the suppression of cancer via the induction of cytotoxic cell death, and a higher pretreatment lymphocyte count was found to be associated with good neoadjuvant treatment response in patients with locally advanced rectal cancers58. The interaction between the immune system and cancer cells mostly occurs near the tumour tissue, and thus there may be some connection between the peripheral NLR and tumour-infiltrating lymphocytes. An increase in tumour-infiltrating lymphocytes has been shown to play a significant role in prognosis in many types of cancer such as breast cancer, lung cancer and gastric cancer59-61.

The effect of tumour-infiltrating lymphocytes was also found to be closely associated with neoadjuvant treatment response especially in breast cancer62, 63. Other studies have investigated the association between the NLR and circulating cytokines. Motomura and Kantola found that tumours with an elevated NLR also had higher levels of some interleukins and MCP-1, among other cytokines. This suggested that the NLR may partly influence the immune response64, 65.

In this analysis, all bladder cancer patients were treated with neoadjuvant chemotherapy followed by radical cystectomy. A low pretreatment NLR was associated with a significant increase in the pCR rate and a longer DFS, but for OS, its protective effect was not statistically significant. Bladder cancer is thought to be an immune-related disease as it responds well to immunotherapy66. Many other immune-related markers such as lymphocyte-to-monocyte ratio (LMR), hemoglobin, platelet-to-lymphocyte ratio (PLR) were found to significantly associated with outcomes in bladder cancer patients but their research in neoadjuvant chemotherapy patients were few67-70. In a small sample retrospective study conducted by Seah, NLR were found to sustained decreased in NAC response patients, this decrease of inflammatory burden may associated with patients' pathological response14. Viers explored 899 bladder cancer patients and found that the NLR may be used as a prognostic marker for risk stratification including for the selection of patients who might benefit from neoadjuvant therapy71. The finding that the NLR did not show a statistically significant relationship with OS may be partly due to indelible heterogeneities such as tumor burden and invasive ranges.

The NLR seems not to be a good marker for patients with breast cancer who received neoadjuvant chemotherapy, as the pooled data for OS, DFS and pCR all did not appear to show significant differences. Although breast cancer is not generally regarded as an immune-related disease, a low NLR in unstratified breast cancer patients in previous studies was still found to be associated with good OS and DFS72-74. Marin retrospective 150 breast cancer patients and found some immune-related markers such as high lymphocyte-to-monocyte ratio (LMR) and low NLR were associated with favorable prognoses in patients treated with NAC23. The inconsistent results of the NLR in breast cancer may partly due to the different molecular subtypes of tumours. Yao and Asano reported that the NLR was a good prognostic marker in triple-negative breast cancer15, 75, but Noh found that an elevated NLR was associated with a poorer disease-specific survival, which was evident mostly in the luminal A subtype76. The dominant molecular subtype in a cohort of breast cancer patients may obviously influence the prognostic effect of the NLR.

A low NLR was associated with a significantly higher pCR rate and a protective effect with respect to OS in rectal cancer patients who received pre-operative treatment. This may be attributed to a variety of reasons. On the one hand, colorectal cancer is found closely associated with systemic inflammation, as Guthrie found that several systemic inflammation-related markers exhibited prognostic value in colorectal cancer patients77 and Burn discovered that long-term use of aspirin, a non-steroidal anti-inflammatory drug, can decrease the risk of colorectal cancer78. On the other hand, all the studies except one treated patients with neoadjuvant chemoradiation and compared them with patients who were treated only with neoadjuvant chemotherapy, which increased the chance of a pCR and a survival benefit would be achieved. However, the definitive effect of neoadjuvant radiation on patients with rectal cancer is still controversial. But other factors may challenge the use of NLR in rectal cancer just like Krauthamer found that NLR was an independent factor for CPR after neoadjuvant treatments in clinical stage (CS) III while not in clinical stage (CS) II locally advanced rectal cancers39. Except for tumour burden the low or high location may also influence the effect of NLR in rectal cancer but until now few articles definitely analyzed this field.

In gastroesophageal cancer, the association of the NLR and OS showed no statistical significance. In other types of tumours, the number of studies was limited to come to an exactly conclusion, which is a limitation of our meta-analysis. Our study has other limitations, which are discussed below. First, the studies enrolled in our analysis were mostly retrospective, and therefore, some individual data such as specific regimens and doses of neoadjuvant treatment were not considered. Second, publication bias still exists in our study, and although we chose to include all the data from full-text studies and abstracts and even used the trim-and-fill method to confirm our results, some negative data that were omitted by us may still have influenced the results. Third, the heterogeneity could not be fully eliminated in this analysis, examples include tumour stage, age distribution, and the cut-off value of the NLR, among others. Finally, the presence of other diseases in addition to cancer, such as coronary artery disease, hepatic disease, metabolic syndrome and any inflammation-related diseases, can alter the level of the NLR, which may have affected our results79-81.

Conclusions

Our meta-analysis pooled 33 studies to assess the response rate and prognostic effect of the NLR in patients who received NAC. In summary, patients in many types of solid tumours who had an NLR lower than the cut-off values were more likely to achieve pCR after NAC. The NLR may serve as a convenient marker in patients who receive NAC with respect to survival outcome and prognosis, as a higher NLR indicates a worse survival outcome, including OS, CSS, DFS and RFS. NLR is a simply accessible and cost-effective prognostic marker that may identify high-risk patients with certain types of tumours. Further prospective studies with large sample sizes and suitable patients are needed to validate our results and to determine the consensus cut-off value of NLR for each cancer type.

Abbreviations

NLR

Neutrophil to lymphocyte ratio

NAC

neoadjuvant chemotherapy

OR

odds ratio

HR

hazard ratios

CI

confidence interval

pCR

pathological complete response

OS

overall survival

CSS

cancer special survival

DFS

disease-free survival

RFS

recurrence-free survival

NOS

Newcastle-Ottawa Scale

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