Retrospective Study Open Access
Copyright ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Dec 21, 2017; 23(47): 8376-8386
Published online Dec 21, 2017. doi: 10.3748/wjg.v23.i47.8376
Nomogram based on tumor-associated neutrophil-to-lymphocyte ratio to predict survival of patients with gastric neuroendocrine neoplasms
Long-Long Cao, Jun Lu, Jian-Xian Lin, Chao-Hui Zheng, Ping Li, Jian-Wei Xie, Jia-Bin Wang, Qi-Yue Chen, Mi Lin, Ru-Hong Tu, Chang-Ming Huang, Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
Author contributions: Cao LL, Lu J, Lin JX and Huang CM conceived the study, analyzed the data, and drafted the manuscript; Zheng CH helped critically revise the manuscript for important intellectual content; Li P, Xie JW, Wang JB, Chen QY, Lin M and Tu RH helped collect the data and designed the study; All authors read and approved the final manuscript.
Supported by National Key Clinical Specialty Discipline Construction Program of China, No. [2012] 649.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Fujian Medical University Union Hospital.
Conflict-of-interest statement: The authors declare that there are no conflicts of interest associated with the publication of this manuscript.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Chang-Ming Huang, Professor, Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29, Xinquan Road, Fuzhou 350001, Fujian Province, China. hcmlr2002@163.com
Telephone: +86-591-83363366 Fax: +86-591-83320319
Received: March 10, 2017
Peer-review started: March 11, 2017
First decision: May 9, 2017
Revised: June 3, 2017
Accepted: July 4, 2017
Article in press: July 4, 2017
Published online: December 21, 2017
Processing time: 285 Days and 2.9 Hours

Abstract
AIM

To assess the predictive value of the tumor-associated neutrophil-to-lymphocyte ratio in terms of the clinical outcomes of patients with gastric neuroendocrine neoplasms after radical surgery.

METHODS

Data were retrospectively collected from 142 patients who were diagnosed with gastric neuroendocrine neoplasms and who underwent radical gastrectomy at our department from March 2006 to March 2015. These data were retrospectively analyzed, and a receiver operating characteristic curve analysis was used to identify the optimal value of the tumor-associated neutrophil-to-lymphocyte ratio. Univariate and multivariate survival analyses were used to identify prognostic factors. A nomogram was then applied to predict clinical outcomes after surgery.

RESULTS

The tumor-associated neutrophil-to-lymphocyte ratio was significantly associated with tumor recurrence, especially with liver metastasis and lymph node metastasis (P < 0.05 for both), but not with clinical characteristics (P > 0.05 for all). A multivariate Cox regression analysis identified the tumor-associated neutrophil-to-lymphocyte ratio as an independent prognostic factor for recurrence-free survival and overall survival (P < 0.05 for both). The concordance index of the nomograms, which included the tumor-associated neutrophil-to-lymphocyte ratio, Ki-67 index, and lymph node ratio, was 0.788 (0.759) for recurrence-free survival (overall survival) and was higher than the concordance index of the traditional TNM staging system [0.672 (0.663)].

CONCLUSION

The tumor-associated neutrophil-to-lymphocyte ratio is an independent prognostic factor in patients with gastric neuroendocrine neoplasms. Nomograms that include the tumor-associated neutrophil-to-lymphocyte ratio, Ki-67 index, and lymph node ratio have a superior ability to predict clinical outcomes of postoperative patients.

Key Words: Gastric neuroendocrine neoplasms; Tumor-associated neutrophil-to-lymphocyte ratio; Tumor recurrence; Prognosis

Core tip: The study aimed to assess the predictive value of the tumor-associated neutrophil-to-lymphocyte ratio in terms of the clinical outcomes of 142 patients diagnosed with gastric neuroendocrine neoplasms. We demonstrated that the tumor-associated neutrophil-to-lymphocyte ratio was significantly correlated with tumor recurrence, especially with liver and lymph node metastasis. Moreover, the tumor-associated neutrophil-to-lymphocyte ratio was found to be an independent predictor of recurrence-free survival and overall survival, and combining it with the Ki-67 index and lymph node ratio could improve prognosis prediction in patients with gastric neuroendocrine neoplasms, as could applying the traditional TNM staging system.



INTRODUCTION

Gastric neuroendocrine neoplasms (g-NENs) are a highly heterogeneous and poorly understood group of relatively rare tumors that are derived primarily from enterochromaffin-like cells (ECL-cells) localized in the gastric mucosa[1]. Due to an increased understanding of g-NENs and improved diagnostic techniques, the incidence of g-NENs, which account for 6% of all neuroendocrine neoplasms, is increasing every year[2]. However, due to significant differences in the clinical pathology and biological characteristics, our knowledge regarding g-NENs is still very limited[3,4]. The World Health Organization (WHO, 2010) classifies g-NENs into the following subclasses: neuroendocrine tumors (g-NETs), neuroendocrine carcinoma (g-NEC), and mixed adenoneuroendocrine carcinoma (g-MANEC)[5]. In addition to an early diagnosis, an important and effective component of proper management is the identification of the prognostic factors in patients with g-NENs. According to the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC), the TNM staging system, which accounts for invasion depth, lymph node status, and metastases, is one of the most important prognostic factors in patients with g-NENs[6,7]. However, the prognostic factors of these tumors are complex and multifaceted and have not been clearly defined thus far[8,9]. In the past decade, increasing evidence has suggested that both tumor-associated neutrophils (TANs) and tumor-associated lymphocytes (TALs) are significantly associated with patient prognosis. Elevated TANs and reduced TALs correlate with advanced stage and poor prognosis in a variety of human tumors, including cervical cancer[10], hepatocellular carcinoma[11], and pancreatic cancer[12]. However, few studies have focused on the relationship between the tumor-associated neutrophil-to-lymphocyte ratio (TA-NLR) and the prognosis of patients with neuroendocrine neoplasms, particularly g-NENs.

This study investigated the utility of the TA-NLR as a prognostic indicator and evaluated its clinical value for the diagnosis and postoperative surveillance of patients undergoing radical surgery for g-NENs.

MATERIALS AND METHODS
General conditions

Overall, 173 patients who were diagnosed with g-NENs at Fujian Medical University Union Hospital between March 2006 and March 2015 were identified from a prospective database. The exclusion criteria for this study were as follows: metastatic disease confirmed preoperatively or during surgery (n = 11), perioperative death (n = 1), and incomplete/inaccurate medical records (n = 19). In all, 142 patients who underwent radical surgery were included in this study. The pathological data of these patients were reconfirmed by two pathologists according to the North American Neuroendocrine Tumor Society (NANETS) guidelines (2010)[13]. In total, 27 (19.0%) patients were diagnosed with g-NETs, 45 (31.7%) with g-NEC, and 70 (49.3%) with g-MANEC. The ethics committee of Fujian Union Hospital approved this retrospective study. Written consent was obtained from the patients, and their information was stored in the hospital database and used for research.

Immunohistochemistry analysis

Immunohistochemical staining for CD8 or CD15 was performed using formalin-fixed, paraffin-embedded tumor tissue sections (4-μm-thick) from 142 g-NENs (Figure 1A). Briefly, the slides were baked at 65 °C for 2 h, deparaffinized with xylene, and rehydrated in graded alcohol. The slides were subjected to antigen retrieval via the high-pressure method in antigen retrieval solution. Endogenous peroxidase was inactivated using 3% H2O2 in methanol. Non-specific binding was blocked via incubation in 1% bovine serum albumin (BSA; Sigma-Aldrich; St. Louis, MO, United States) in phosphate buffered saline (PBS). Subsequently, the slides were incubated overnight at 4 °C with a primary monoclonal mouse antibody against CD8 or CD15 (1:100 dilution; Zhongshan Golden Bridge Biotech, Beijing, China). Normal goat serum was used as a negative control. After being washed with PBS, tissue sections were incubated with the secondary antibody (Zhongshan Golden Bridge Biotech, Beijing, China) for 20 min at room temperature and then stained with diaminobenzidine (DAB). Finally, the slides were counterstained in hematoxylin, dehydrated, and mounted with a coverslip.

Figure 1
Figure 1 Relationship between the tumor-associated neutrophil-to-lymphocyte ratio and tumor recurrence. A: Representative immunohistochemical staining for CD15 (left) and CD8 (right); B: Significant differences in the TA-NLR were observed between the recurrence group (0.46% ± 0.05%, mean ± SE) and the non-recurrence group (0.24% ± 0.03%, P < 0.001). TA-NLR: Tumor-associated neutrophil-to-lymphocyte ratio.

Two pathologists who were blinded to the clinical data reviewed the immunoreactivity under a light microscope. Inflammatory cells that had infiltrated the tumor nest and tumor stroma were analyzed, and inflammatory cells that were confined to lymph vascular spaces or within the vicinity of tumor necrosis or secretions were excluded from the analysis. Cases with tumor-infiltrating inflammatory cells present in 10 non-overlapping high- power fields (× 40) were examined in representative areas on two slides of a given tumor (i.e., a total of 20 fields per neoplasm). The number of tumor-related inflammatory cells was assessed in a semiquantitative manner using the mean value of high-power fields based on a × 40 objective (magnification × 400)[14,15]. The TA-NLR was calculated as the average number of neutrophils (CD15-positive cells) divided by the average number of T lymphocytes (CD8-positive cells). A receiver operating characteristic (ROC) curve analysis was performed in relation to the occurrence of recurrence and death from any cause. For all 142 patients, a TA-NLR of 0.21 had the highest sensitivity and specificity for both outcomes. Therefore, patients were categorized into the following two groups: low TA-NLR group (≤ 0.21, 71 patients) and high TA-NLR group (> 0.21, 71 patients).

Postoperative follow-up

The patients were monitored after surgery via telephone interviews, outpatient visits, and letters. Our department follows a standardized surveillance protocol and follows patients at three-month intervals for the first two years, six-month intervals for years two to five, and at least once per year five years after surgery. The postoperative follow-up data included clinical symptoms and signs, laboratory tests, imaging examinations, and endoscopy and biopsy results. In this study, the median follow-up time was 40 mo (range, 2-106 mo). The overall survival (OS) time was calculated as the number of months from the date of surgery to the date of last contact, date of death from any cause, or the date the end point was realized. The recurrence-free survival (RFS) time was calculated as the number of months from the date of surgery to the date of identification of disease recurrence (either radiological or histological), the date of death or last contact, or the date the end point was realized.

Statistical analysis

All enumeration and measurement data were analyzed using SPSS 17.0 for Windows (SPSS, Chicago, IL, United States). χ2 test, Fisher’s exact test, or unpaired Student’s t test was utilized to compare the differences between the TA-NLR groups and the clinicopathological factors, as appropriate. A univariate survival analysis was performed using the Kaplan-Meier method. A multivariate survival analysis was performed using a Cox proportional hazards model, and the significant variables from the univariate analysis were included in the model. R software (version 3.2.0) was utilized to develop the nomograms and the forest plot. P < 0.05 was considered significant.

RESULTS
TA-NLR is not associated with clinicopathological factors

The univariate analysis revealed that the TA-NLR was associated with the invasion depth, LNR (lymph node ratio), and postoperative complications (P < 0.05 for all; Table 1). However, the multivariate analysis revealed no significant differences in the clinicopathological factors between the two groups (P > 0.05 for all; Table 1). In addition, no significant differences were observed in the clinical symptoms, medical history, family history, active and past smoking histories, or history of heavy alcohol use between the two groups (P > 0.05 for all; Table 2).

Table 1 Characteristics of the 142 patients with gastric neuroendocrine neoplasms with different tumor-associated neutrophil-to-lymphocyte ratios.
Clinicopathological featureTA-NLR
Univariate analysis
Multivariate analysis
≤ 0.21 (n = 71)> 0.21 (n = 71)P valueP value
Age (yr)0.322
≤ 705752
> 701419
Gender0.851
Male5251
Female1920
Tumor site0.099
Upper3926
Middle1015
Lower1718
Mixed512
Tumor size (cm)0.593
≤ 3.52522
> 3.54649
Ki-67 index (%)0.081
≤ 2136
≥ 3, ≤ 20816
>205049
Depth of invasion0.0440.406
T1148
T273
T33429
T41631
Lymph node ratio0.0430.355
02513
> 0, ≤ 0.22524
> 0.2, ≤ 0.41518
> 0.4616
Lymphovascular invasion0.610
No4340
Yes2831
ASA status0.805
1 + 26162
3 + 4109
Postoperative complication0.0410.071
No5746
Yes1425
Surgical approach0.855
Endo/laparoscopic4950
Open2221
Table 2 Characteristics of 142 patients with gastric neuroendocrine neoplasms with different levels of tumor-associated neutrophil-to-lymphocyte ratios.
Patient featureTA-NLR
Univariate analysis
≤ 0.21(n = 71)> 0.21(n = 71)P value
Symptom
Abdominal pain46410.390
Dysphagia14120.665
Nausea1290.480
Vomiting551.000
Acid-reflux940.156
Anemia10130.495
Abdominal distention680.575
Gastrointestinal blood loss12140.665
Weight loss24290.386
No symptoms270.105
Medical history
Hypertension19150.432
Diabetes730.202
Coronary heart disease441.000
Chronic gastritis44380.796
Family history560.754
Smoking26270.862
Drinking640.515
Elevated TA-NLR is associated with a poor prognosis

As shown in Figure 2, the RFS and OS were analyzed according to age, gender, tumor site and size, lymphovascular invasion, ASA status, postoperative complications, surgical approach, invasion depth, LNR, and Ki-67 index. The hazard ratios and 95% confidence interval (CI) for the RFS and OS were compared between the subgroups. The long-term survival time, including RFS and OS, was shorter in the high TA-NLR group compared with the low TA-NLR group.

Figure 2
Figure 2 Forest plot showing the hazard ratios (oblongs) and 95%CIs (bars) for RFS (left) and OS (right) (according to subgroups) among 142 patients with gastric neuroendocrine neoplasms undergoing radical surgery. Long-term survival, including RFS and OS, was better among patients with a low TA-NLR than in patients with a high TA-NLR. g-NENs: Gastric neuroendocrine neoplasms. RFS: Recurrence-free survival; OS: Overall survival; TA-NLR: Tumor-associated neutrophil-to-lymphocyte ratio.
TA-NLR is an independent prognostic factor for RFS and OS

The univariate analysis found that larger tumor size, occurrence of postoperative complications, greater invasion depth, higher LNR, higher Ki-67 index, and higher TA-NLR were prognostic indicators of poorer RFS (P < 0.05 for all; Table 3). The tumor size, invasion depth, LNR, Ki-67 index, and TA-NLR were identified as prognostic indicators of OS (P < 0.05 for all; Table 4). According to the multivariate analysis, the Ki-67 index, LNR, and TA-NLR were independent prognostic factors of RFS and OS (P < 0.05 for all; Tables 3 and 4).

Table 3 Variables associated with recurrence-free survival according to the Cox proportional hazards regression model.
VariableUnivariate analysis
Multivariate analysis
Hazard ratio95%CIP valueHazard ratio95%CIP value
Age (yr)0.790
≤ 70Reference
> 701.0830.602-1.950
Gender0.126
MaleReference
Female0.6080.322-1.149
Tumor site0.770
UpperReference
Middle0.8250.389-1.751
Lower0.8850.465-1.682
Mixed1.3480.588-3.091
Tumor size (cm)0.0040.671
≤ 3.5ReferenceReference
> 3.52.7401.385-5.421NANA
Lymphovascular invasion0.144
NoReference
Yes1.4710.876-2.468
ASA status0.190
1 + 2Reference
3 + 41.5510.804-2.993
Postoperative complication0.029
NoReferenceReference0.305
Yes1.8691.065-3.278NANA
Surgical approach0.249
Endo/laparoscopicReference
Open0.7330.432-1.243
Depth of invasion0.0050.557
T1ReferenceReference
T25.3280.483-58.789NANA
T311.7221.587-86.603NANA
T419.3012.629141.682NANA
Lymph node ratio< 0.001< 0.001
0ReferenceReference
> 0, ≤ 0.25.4901.623-18.5683.3380.962-11.581
> 0.2, ≤ 0.48.0912.393-27.3514.61.317-16.066
> 0.417.9465.239-61.48010.2662.906-36.266
Ki-67 index (%)0.004< 0.001
≤ 2ReferenceReference
≥ 3, ≤ 203.0130.639-14.2031.5010.305-7.393
> 207.0471.709-29.0534.9991.140-21.927
TA-NLR< 0.001< 0.001
≤ 0.21ReferenceReference
> 0.213.3661.890-5.9922.9741.630-5.426
Table 4 Variables associated with overall survival according to the Cox proportional hazards regression model.
VariableUnivariate analysis
Multivariate analysis
Hazard ratio95%CIP valueHazard ratio95%CIP value
Age (yr)0.566
≤ 70Reference
> 701.1970.648- 2.211
Gender0.190
MaleReference
Female0.6400.329-1.247
Tumor site0.190
UpperReference
Middle0.6870.313-1.509
Lower0.5400.255-1.145
Mixed1.4410.628-3.307
Tumor size (cm)0.0020.214
≤ 3.5ReferenceReference
> 3.53.5911.618-7.969NANA
Lymphovascular invasion0.214
NoReference
Yes1.4170.818-2.455
ASA status0.118
1 + 2Reference
3 + 41.7360.870-3.465
Postoperative complication0.320
NoReference
Yes1.3800.732-2.603
Surgical approach0.276
Endo/laparoscopicReference
Open0.7360.425-1.276
Depth of invasion0.0240.646
T1ReferenceReference
T25.5240.501-60.954NANA
T310.7931.455-80.038NANA
T415.6322.116-115.464NANA
Lymph node ratio< 0.0010.002
0ReferenceReference
> 0, ≤ 0.24.7911.402-16.3702.8540.813-10.027
> 0.2, ≤ 0.46.6761.956-22.7903.7241.054-13.162
> 0.414.6774.218-51.0749.1522.528-33.129
Ki-67 index (%)0.002< 0.001
≤ 2%ReferenceReference
≥ 3%, ≤ 20%2.1680.437-10.7511.5840.313-8.008
> 20%6.5821.589-27.2695.5351.238-24.752
TA-NLR< 0.0010.003
≤ 0.21ReferenceReference
> 0.212.9381.610-5.3602.6171.389-4.928
TA-NLR is significantly correlated with recurrence site

The TA-NLR was significantly higher in the recurrence group than in the non-recurrence group (P < 0.05 for both; Figure 1B). Details regarding the recurrence site following surgery are listed in Table 5. The recurrence rate was significantly higher in the high TA-NLR group compared with the low TA-NLR group (P < 0.001). Additionally, an elevated TA-NLR was significantly associated with both liver metastasis and lymph node metastasis (P < 0.05 for both).

Table 5 Site of recurrence after surgery.
Site of recurrenceTA-NLR
≤ 0.21(n = 71)> 0.21(n = 71)P value
Liver10280.001
Peritoneal cavity690.413
Lymph node2110.009
Lung340.721
Bone050.058
Adrenal gland140.366
Pancreas221.000
Locoregional recurrence230.683
Spleen020.496
Kidney111.000
Brain011.000
Number of patients with recurrence1538< 0.001
TA-NLR, combined with the Ki-67 index and LNR, is a superior prognostic prediction system

Prognostic nomograms were established using R software (Figure 3). The C-index of the nomograms for RFS (OS), which included the TA-NLR, LNR, and Ki-67 index, was 0.788 (0.759). However, the C-index of the TNM staging system for RFS (OS) was 0.673 (0.662) (Figure 4). Thus, both the TNM staging system and the nomograms had superior abilities to predict clinical outcomes for patients with g-NENs.

Figure 3
Figure 3 Nomograms for the prediction of recurrence-free survival (A) and overall survival (B) in patients following gastric neuroendocrine neoplasm resection; the C-index was 0. 788 and 0.759 for RFS and OS, respectively. LNR: Lymph node ratio; TA-NLR: Tumor-associated neutrophil-to-lymphocyte ratio.
Figure 4
Figure 4 Survival curves for recurrence-free survival (A) and overall survival (B) according to the traditional TNM staging system (NCCN 2015); the C-index was 0. 673 and 0.662 for RFS and OS, respectively.
DISCUSSION

Neuroendocrine neoplasms, particularly g-NENs in the digestive system, are a unique subgroup of tumors with great clinical heterogeneity and varied biology. In recent years, with the growing popularity of upper gastrointestinal endoscopy and increasing improvements in diagnostic techniques, the reported incidence of g-NENs has increased each year, and currently, the incidence is approximately 0.3 per 100 thousand[16,17]. According to previous studies, a patient’s prognosis is significantly associated with the clinical and pathological parameters as well as the biological characteristics of g-NENs[18-20]. However, the independent prognostic factors for g-NEN patients are still controversial. To our knowledge, studies have reported individual prediction models for the prognosis of g-NENs. We evaluated the prognostic value of TA-NLR in patients with g-NENs and further established a tumor prognosis prediction model to provide a basis for individual clinical therapy.

In most cases, the clinical symptoms of g-NENs are not typical because they depend on the location and invasiveness of the primary tumor or metastases. The symptoms mainly include abdominal pain, abdominal distension, difficulty swallowing, nausea, and vomiting. In this study, abdominal pain was the most common symptom, followed by weight loss, difficulty swallowing, and gastrointestinal bleeding; this finding is consistent with previous reports[21]. In addition, approximately 6% of the patients without any clinical symptoms were diagnosed via physical examinations. Among asymptomatic patients, approximately 40% were diagnosed with g-NEC or g-MANEC, although most of them were diagnosed with g-NETs. Therefore, postoperative follow-up is still essential for patients who have no clinical symptoms.

In recent years, substantial evidence has revealed that pathological stage is closely related to the prognosis of patients with g-NENs. Deep tumor invasion, lymph node metastasis, and distant metastasis were associated with decreased long-term survival[8,9,22]. The Ki-67 index, as a marker of cell proliferation, is widely used to evaluate the malignant potential of neuroendocrine tumors. The European Neuroendocrine Tumor Society (ENETS) and the WHO adopted a three-tier classification system based on the Ki-67 index for gastrointestinal pancreatic neuroendocrine tumors (G1: ≤ 2%; G2: 3%-20%; G3: > 20%). The Ki-67 index combined with a pathological staging system improves the diagnosis and prognosis prediction of patients with neuroendocrine tumors, and it is thus widely used in clinical practice. In this study, the rate of lymph node metastasis and the Ki-67 index were independent risk factors for OS and RFS in patients with g-NENs. In addition, increasing evidence has confirmed that the tumor-associated inflammatory response is closely related to the prognosis of patients with malignant tumors[12,23,24]. However, the relationship between the tumor-associated inflammatory response and g-NENs is unclear. Our study is the first to confirm that the TA-NLR is significantly associated with the prognosis of patients with g-NENs. We observed, through a univariate analysis, that the RFS and OS rates in patients with a TA-NLR > 0.21 were significantly lower than the rates in patients with a TA-NLR < 0.21. The multivariate analysis further revealed that the TA-NLR was an independent risk factor for patients with g-NENs.

Postoperative local recurrence and distant metastasis are the leading causes of death for patients with malignant tumors. Liver metastasis, peritoneal metastasis, and lymph node metastasis were the main types of tumor recurrence. The proportions of patients with these types of recurrence were 72%, 28%, and 25%, respectively. The spleen, kidney, and brain were relatively rare sites of recurrence. Our results are similar to those of previous reports[9]. In the present study, the TA-NLR was closely related to tumor recurrence, and a high incidence of liver metastasis and lymph node metastasis was observed in patients with a high TA-NLR. Thus, during the postoperative follow-up period, clinicians should utilize the prognostic value of the TA-NLR, as well as clinical characteristics, to discover potential hepatic or lymph node metastases at an earlier time point.

Nomograms, as a new type of statistical prediction model, are currently widely used in clinical practice for the majority of cancer types[25,26]. Prognostic nomograms enable the use of a combination of multiple relevant clinical predictors and can be utilized to predict RFS and OS for individual patients. For many cancers, nomograms compare favorably to the traditional TNM staging system and have been proposed as an important tool in clinical practice[13,27]. In this study, we established prognostic nomograms for g-NENs by combining the TA-NLR, Ki-67 index, and LNR. This combination had a high predictive ability, as did the traditional TNM staging system. Therefore, the combination of the TA-NLR, Ki-67 index, and LNR, as a novel prognostic system, may provide simple, more accurate prognostic predictions.

This study had some limitations. The study was uncontrolled and performed in a single institution. The results should be confirmed by subsequent prospective studies. Some heterogeneity was also present in this study, as it included multiple histological types (including NET, NEC, and MANEC), which do not represent a specific progression of a unique pathologic process. Due to the low incidence of g-NENs and the limited number of samples in the study, a statistical analysis could not be conducted for any one histological type. We will focus on each of the three histological types in the future, after more cases have been accumulated. However, to our knowledge, our study enrolled more patients with g-NENs than similar reports in the literature, and for the first time, we demonstrated that the TA-NLR was able to predict long-term survival relatively accurately in patients. Our study could be the basis for a subsequent prospective clinical study.

As a simple and inexpensive inflammatory biomarker, the TA-NLR is significantly correlated with tumor recurrence, especially with liver and lymph node metastasis. The TA-NLR is an independent predictor of RFS and OS, and its combination with the Ki-67 index and LNR could improve prognosis prediction in g-NEN patients undergoing radical surgery, as could the traditional TNM staging system.

COMMENTS
Background

The incidence of gastric neuroendocrine neoplasms (g-NENs), which account for 6% of all neuroendocrine neoplasms, is increasing every year. In addition to an early diagnosis, an important and effective component of proper management is the identification of the prognostic factors in patients with g-NENs. However, the prognostic factors for these tumors are complex and multifaceted and have not been clearly defined thus far. Few studies to date have focused on the relationship between the tumor-associated neutrophil-to-lymphocyte ratio (TA-NLR) and the prognosis of patients with g-NENs.

Research frontiers

In the past decade, increasing evidence has suggested that both tumor-associated neutrophils (TANs) and tumor-associated lymphocytes (TALs) are significantly associated with patient prognosis. Elevated TANs and reduced TALs correlate with advanced stage and poor prognosis in a variety of human tumors, including cervical cancer, hepatocellular carcinoma, and pancreatic cancer.

Innovations and breakthroughs

This study enrolled more patients with g-NENs than similar reports in the literature and, for the first time, demonstrated that the TA-NLR was able to predict long-term survival relatively accurately in patients.

Applications

This study established a novel prognostic system that included the TA-NLR, Ki-67 index, and lymph node ratio, which may provide simple, more accurate prognostic predictions. Moreover, as a simple and inexpensive inflammatory biomarker, the TA-NLR is significantly correlated with tumor recurrence, especially with liver and lymph node metastasis. Thus, during the postoperative follow-up period, clinicians should utilize the prognostic value of the TA-NLR, as well as clinical characteristics, to discover potential hepatic or lymph node metastases at an earlier time point.

Terminology

Gastric neuroendocrine neoplasms (g-NENs), a highly heterogeneous and poorly understood group of relatively rare tumors, are derived primarily from enterochromaffin-like cells (ECL-cells) localized in the gastric mucosa. The World Health Organization (WHO, 2010) classifies g-NENs into the following subclasses: neuroendocrine tumors (g-NETs), neuroendocrine carcinoma (g-NEC), and mixed adenoneuroendocrine carcinoma (g-MANEC).

Peer-review

Previous studies have established that elevated TANs and reduced TALs correlate with advanced stage and poor prognosis in a variety of human tumors, including cervical cancer, hepatocellular carcinoma, and pancreatic cancer. In this study, the authors demonstrated that the TA-NLR is an independent predictor of RFS and OS and that it is also significantly correlated with tumor recurrence, especially with liver and lymph node metastasis. However, as the authors indicate, this study was uncontrolled and was performed within a single institution. The results should therefore be confirmed in subsequent prospective studies.

ACKNOWLEDGMENTS

The authors thank Professor Yao Lin for valuable advice and discussions.

Footnotes

Manuscript source: Unsolicited manuscript

Specialty type: Gastroenterology and hepatology

Country of origin: China

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P- Reviewer: Harmanci O S- Editor: Ma YJ L- Editor: Wang TQ E- Editor: Ma YJ

References
1.  Burkitt MD, Pritchard DM. Review article: Pathogenesis and management of gastric carcinoid tumours. Aliment Pharmacol Ther. 2006;24:1305-1320.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 113]  [Cited by in F6Publishing: 106]  [Article Influence: 5.9]  [Reference Citation Analysis (0)]
2.  Niederle MB, Hackl M, Kaserer K, Niederle B. Gastroenteropancreatic neuroendocrine tumours: the current incidence and staging based on the WHO and European Neuroendocrine Tumour Society classification: an analysis based on prospectively collected parameters. Endocr Relat Cancer. 2010;17:909-918.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 298]  [Cited by in F6Publishing: 296]  [Article Influence: 21.1]  [Reference Citation Analysis (1)]
3.  Tsikitis VL, Wertheim BC, Guerrero MA. Trends of incidence and survival of gastrointestinal neuroendocrine tumors in the United States: a seer analysis. J Cancer. 2012;3:292-302.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 116]  [Cited by in F6Publishing: 130]  [Article Influence: 10.8]  [Reference Citation Analysis (0)]
4.  Klöppel G, Perren A, Heitz PU. The gastroenteropancreatic neuroendocrine cell system and its tumors: the WHO classification. Ann N Y Acad Sci. 2004;1014:13-27.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 538]  [Cited by in F6Publishing: 502]  [Article Influence: 25.1]  [Reference Citation Analysis (0)]
5.  Bosman FT, Carneiro F, Theise ND.  Nomenclature and classification of neuroendocrine neoplasms of digestive system. WHO classification of tumours of the digestive system. Lyon: IARC Press 2010; .  [PubMed]  [DOI]  [Cited in This Article: ]
6.  Kulke MH, Shah MH, Benson AB 3rd, Bergsland E, Berlin JD, Blaszkowsky LS, Emerson L, Engstrom PF, Fanta P, Giordano T, Goldner WS, Halfdanarson TR, Heslin MJ, Kandeel F, Kunz PL, Kuvshinoff BW 2nd, Lieu C, Moley JF, Munene G, Pillarisetty VG, Saltz L, Sosa JA, Strosberg JR, Vauthey JN, Wolfgang C, Yao JC, Burns J, Freedman-Cass D; National comprehensive cancer network. Neuroendocrine tumors, version 1.2015. J Natl Compr Canc Netw. 2015;13:78-108.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 230]  [Cited by in F6Publishing: 247]  [Article Influence: 27.4]  [Reference Citation Analysis (0)]
7.  Klöppel G, Couvelard A, Perren A, Komminoth P, McNicol AM, Nilsson O, Scarpa A, Scoazec JY, Wiedenmann B, Papotti M. ENETS Consensus Guidelines for the Standards of Care in Neuroendocrine Tumors: towards a standardized approach to the diagnosis of gastroenteropancreatic neuroendocrine tumors and their prognostic stratification. Neuroendocrinology. 2009;90:162-166.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 256]  [Cited by in F6Publishing: 201]  [Article Influence: 13.4]  [Reference Citation Analysis (0)]
8.  Faggiano A, Ferolla P, Grimaldi F, Campana D, Manzoni M, Davì MV, Bianchi A, Valcavi R, Papini E, Giuffrida D. Natural history of gastro-entero-pancreatic and thoracic neuroendocrine tumors. Data from a large prospective and retrospective Italian epidemiological study: the NET management study. J Endocrinol Invest. 2012;35:817-823.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 43]  [Reference Citation Analysis (0)]
9.  Lewkowicz E, Trofimiuk-Müldner M, Wysocka K, Pach D, Kiełtyka A, Stefańska A, Sowa-Staszczak A, Tomaszewska R, Hubalewska-Dydejczyk A. Gastroenteropancreatic neuroendocrine neoplasms: a 10-year experience of a single center. Pol Arch Med Wewn. 2015;125:337-346.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 14]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
10.  Carus A, Ladekarl M, Hager H, Nedergaard BS, Donskov F. Tumour-associated CD66b+ neutrophil count is an independent prognostic factor for recurrence in localised cervical cancer. Br J Cancer. 2013;108:2116-2122.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 74]  [Cited by in F6Publishing: 88]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
11.  Li YW, Qiu SJ, Fan J, Zhou J, Gao Q, Xiao YS, Xu YF. Intratumoral neutrophils: a poor prognostic factor for hepatocellular carcinoma following resection. J Hepatol. 2011;54:497-505.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 189]  [Cited by in F6Publishing: 210]  [Article Influence: 16.2]  [Reference Citation Analysis (0)]
12.  Sadot E, Basturk O, Klimstra DS, Gönen M, Lokshin A, Do RK, D’Angelica MI, DeMatteo RP, Kingham TP, Jarnagin WR. Tumor-associated Neutrophils and Malignant Progression in Intraductal Papillary Mucinous Neoplasms: An Opportunity for Identification of High-risk Disease. Ann Surg. 2015;262:1102-1107.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 29]  [Cited by in F6Publishing: 34]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
13.  Anthony LB, Strosberg JR, Klimstra DS, Maples WJ, O’Dorisio TM, Warner RR, Wiseman GA, Benson AB 3rd, Pommier RF; North American Neuroendocrine Tumor Society (NANETS). The NANETS consensus guidelines for the diagnosis and management of gastrointestinal neuroendocrine tumors (nets): well-differentiated nets of the distal colon and rectum. Pancreas. 2010;39:767-774.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 185]  [Cited by in F6Publishing: 199]  [Article Influence: 14.2]  [Reference Citation Analysis (0)]
14.  Caruso RA, Bellocco R, Pagano M, Bertoli G, Rigoli L, Inferrera C. Prognostic value of intratumoral neutrophils in advanced gastric carcinoma in a high-risk area in northern Italy. Mod Pathol. 2002;15:831-837.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 149]  [Cited by in F6Publishing: 142]  [Article Influence: 6.5]  [Reference Citation Analysis (0)]
15.  Reid MD, Basturk O, Thirabanjasak D, Hruban RH, Klimstra DS, Bagci P, Altinel D, Adsay V. Tumor-infiltrating neutrophils in pancreatic neoplasia. Mod Pathol. 2011;24:1612-1619.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 137]  [Cited by in F6Publishing: 145]  [Article Influence: 11.2]  [Reference Citation Analysis (0)]
16.  Modlin IM, Lye KD, Kidd M. A 5-decade analysis of 13,715 carcinoid tumors. Cancer. 2003;97:934-959.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1848]  [Cited by in F6Publishing: 1801]  [Article Influence: 85.8]  [Reference Citation Analysis (0)]
17.  Yao JC, Hassan M, Phan A, Dagohoy C, Leary C, Mares JE, Abdalla EK, Fleming JB, Vauthey JN, Rashid A. One hundred years after “carcinoid”: epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States. J Clin Oncol. 2008;26:3063-3072.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3022]  [Cited by in F6Publishing: 3117]  [Article Influence: 194.8]  [Reference Citation Analysis (0)]
18.  Hu HK, Ke NW, Li A, Du XJ, Guo Q, Hu WM. Clinical characteristics and prognostic factors of gastroenteropancreatic neuroendocrine tumors: a single center experience in China. Hepatogastroenterology. 2015;62:178-183.  [PubMed]  [DOI]  [Cited in This Article: ]
19.  Ezziddin S, Attassi M, Yong-Hing CJ, Ahmadzadehfar H, Willinek W, Grünwald F, Guhlke S, Biersack HJ, Sabet A. Predictors of long-term outcome in patients with well-differentiated gastroenteropancreatic neuroendocrine tumors after peptide receptor radionuclide therapy with 177Lu-octreotate. J Nucl Med. 2014;55:183-190.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 114]  [Cited by in F6Publishing: 124]  [Article Influence: 12.4]  [Reference Citation Analysis (0)]
20.  Xu X, Li J, Han X, Shi C, Jin D, Lou W. Clinical characteristics and prognostic factors of patients with gastric neuroendocrine carcinoma treated with radical surgery. Chin Med J (Engl). 2014;127:2419-2422.  [PubMed]  [DOI]  [Cited in This Article: ]
21.  Shebani KO, Souba WW, Finkelstein DM, Stark PC, Elgadi KM, Tanabe KK, Ott MJ. Prognosis and survival in patients with gastrointestinal tract carcinoid tumors. Ann Surg. 1999;229:815-821; discussion 822-823.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 179]  [Cited by in F6Publishing: 196]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
22.  Kubota T, Ohyama S, Hiki N, Nunobe S, Yamamoto N, Yamaguchi T. Endocrine carcinoma of the stomach: clinicopathological analysis of 27 surgically treated cases in a single institute. Gastric Cancer. 2012;15:323-330.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 34]  [Cited by in F6Publishing: 36]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
23.  Zhang Y, Ren H, Wang L, Ning Z, Zhuang Y, Gan J, Chen S, Zhou D, Zhu H, Tan D. Clinical impact of tumor-infiltrating inflammatory cells in primary small cell esophageal carcinoma. Int J Mol Sci. 2014;15:9718-9734.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 22]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
24.  Zhao JJ, Pan K, Wang W, Chen JG, Wu YH, Lv L, Li JJ, Chen YB, Wang DD, Pan QZ. The prognostic value of tumor-infiltrating neutrophils in gastric adenocarcinoma after resection. PLoS One. 2012;7:e33655.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 81]  [Cited by in F6Publishing: 91]  [Article Influence: 7.6]  [Reference Citation Analysis (0)]
25.  Liang W, Zhang L, Jiang G, Wang Q, Liu L, Liu D, Wang Z, Zhu Z, Deng Q, Xiong X. Development and validation of a nomogram for predicting survival in patients with resected non-small-cell lung cancer. J Clin Oncol. 2015;33:861-869.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 356]  [Cited by in F6Publishing: 446]  [Article Influence: 49.6]  [Reference Citation Analysis (0)]
26.  Sternberg CN. Are nomograms better than currently available stage groupings for bladder cancer? J Clin Oncol. 2006;24:3819-3820.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 114]  [Cited by in F6Publishing: 146]  [Article Influence: 8.1]  [Reference Citation Analysis (0)]
27.  Wang Y, Li J, Xia Y, Gong R, Wang K, Yan Z, Wan X, Liu G, Wu D, Shi L. Prognostic nomogram for intrahepatic cholangiocarcinoma after partial hepatectomy. J Clin Oncol. 2013;31:1188-1195.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 597]  [Cited by in F6Publishing: 805]  [Article Influence: 73.2]  [Reference Citation Analysis (0)]