Neutrophil or platelet-to-lymphocyte ratios in blood are associated with poor prognosis of pulmonary large cell neuroendocrine carcinoma
Original Article

Neutrophil or platelet-to-lymphocyte ratios in blood are associated with poor prognosis of pulmonary large cell neuroendocrine carcinoma

Minxing Shi1#, Wencheng Zhao1#, Fei Zhou1#, Hao Chen2, Liang Tang3, Bo Su3, Jie Zhang1

1Department of Oncology, 2Department of Thoracic Surgery, 3Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China

Contributions: (I) Conception and design: J Zhang, B Su; (II) Administrative support: J Zhang; (III) Provision of study materials or patients: F Zhou; (IV) Collection and assembly of data: W Zhao; (V) Data analysis and interpretation: M Shi; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Jie Zhang. Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai 200433, China. Email: zhangjie2172@163.com; Bo Su. Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai 200433, China. Email: subogroup@163.com.

Background: Pulmonary large cell neuroendocrine carcinoma (LCNEC) is a rare clinical subtype of lung cancer which has a poor prognosis for patients. This study aimed to explore the relationship between blood-based inflammatory markers, namely neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), and the prognosis for pulmonary LCNEC.

Methods: Peripheral leukocyte and platelet counts of 106 LCNEC patients were measured within the week leading up to their surgery. Serum neuron specific enolase (NSE) was detected by ELISA. Overall survival (OS) was analyzed by Kaplan-Meier method and compared by log-rank test.

Results: The NLR and PLR cut-off values based on survival receiver operating characteristic curve (ROC) were 2.52 and 133.6, respectively. A correlation was found between dichotomized NLR and tumor size (P=0.006), and PLR and NLR were significantly correlated with each other (P<0.001). Patients with high NLR or PLR had shorter survival than those with low NLR (HR =2.46, 95% CI: 1.508–4.011, P<0.001) or PLR (HR =2.086, 95% CI: 1.279–3.402, P=0.003). Serum NSE also had a significant effect on patient survival (HR =2.651, 95% CI: 1.358–5.178, P=0.004). The effects of peripheral blood lymphocytes (P=0.001), neutrophils (P=0.023) and platelets (P=0.051) on patient survival were compared by log-rank test. In multivariate survival analysis, NLR (P<0.001) and T category were vital for the prognoses of LCNEC patients.

Conclusions: The inflammatory or immunological markers, NLR and PLR in blood, were independent factors of survival prediction for patients with LCNEC, which implied that cellular immunity was involved in the progression of LCNEC. Peripheral blood lymphocytes and neutrophils have a fundamental effect on survival. Whether or not NLR and PLR can be useful biomarkers in efficacy prediction of immunotherapy in LCNEC calls for further investigation.

Keywords: Pulmonary large cell neuroendocrine carcinoma (pulmonary LCNEC); inflammatory biomarkers; neutrophil-to-lymphocyte ratio (NLR); platelet-to-lymphocyte ratio (PLR); immunotherapy


Submitted Dec 05, 2019. Accepted for publication Jan 01, 2020.

doi: 10.21037/tlcr.2020.01.17


Introduction

Pulmonary large cell neuroendocrine carcinoma (LCNEC), an extraordinarily rare malignant solid tumor, accounts for approximately 3% of all lung cancer cases (1). The prognosis for patients of LCNEC has been unpromising up to now. A systematic analysis derived from the SEER database showed that the 3-year OS and 5-year OS rates of LCNEC were 22.8% and 16.8%, respectively (2). LCNEC is a neuroendocrine carcinoma with similar manifestations to small cell lung cancer (SCLC) (3). However, the classical chemotherapy regimen for SCLC is less effective for LCNEC (4). Immune checkpoint inhibitors have recently shed some light on treatment of LCNEC, regardless of the positive expression of PD-1/PD-L1 (5,6), and inflammation and immunity have been uncovered as being of potential importance in the development of LCNEC.

Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are inflammation-associated indexes. It has been reported that NLR and PLR have performed well as predictors of survival and prognosis for a variety of malignant solid tumors (7-13), including non-small cell lung cancer (NSCLC) (10,14). Moreover, two recent studies have shown that NLR and PLR had predictive value in the treatment of NSCLC with checkpoint inhibitors, with higher NLR and PLR suggesting worse prognosis in immunotherapy (15-19).

In LCNEC, and even neuroendocrine tumors, however, the role of inflammatory markers has seldom been studied. In this study, we investigated the association between inflammatory markers and LCNEC patient survival and tried to estimate the prognostic value of NLR and PLR in LCNEC, which the aim of providing some clues regarding the prediction efficacy of NLR and PLR in LCNEC immunotherapy.


Methods

Patients and samples

A total of 106 patients who were diagnosed with LCNEC and underwent surgery at Shanghai Pulmonary Hospital between January 2011 and August 2016 were enrolled and followed up until March 2019. The inclusion criteria were in accordance with the World Health Organization (WHO) diagnostic criteria for LCNEC (3), while patients with autoimmune diseases and other primary tumors were excluded.

The patients’ demographics and clinical characteristics were collected. Peripheral platelet and white blood cell count and serum neuron specific enolase (NSE) ELISA tests were performed within the week leading up to the surgery. The expression of neuroendocrine markers in the resected tumor samples (SYN, synaptophysin; CGA, chromogranin A, and CD56) was confirmed by immunohistochemistry.

Overall survival (OS) was defined as the time from the date of surgery to death or the date of the last follow-up. The survival time of patients who were still alive at the last date of follow-up was given as censored data.

Statistical analysis

A chi-square test, Fisher’s exact test, and a correlation test were used to analyze the distribution of clinical characteristics data. The relative risk factor calculated by x-tile (version 3.6.1) was used to determine the optimal cut-off values for the continuous variables. The patients’ OS was analyzed by the Kaplan-Meier diagram and compared by log-rank method. A multivariate Cox regression model was used to test the independent factors related to OS, and the hazard rates (HR) were calculated. All tests were bilateral, and a difference was considered significant when P<0.05. Data analysis was performed using SPSS software (version 24.0, IBM). The area under the curve (AUC) was calculated by a survival-dependent receiver operating characteristic curve (ROC) package in R language (version 3.6.1).


Results

Clinicopathological characteristics and inflammatory markers of LCNEC patients

The demographic and clinicopathological characteristics of 106 patients with LCNEC are shown in Table 1. All of the patients were histologically diagnosed as LCNEC after surgery. Among them, 48 (45.3%) patients were at TNM stage I, 22 (20.8%) were at stage II, 29 (27.4%) were at stage III, and 7 (6.6%) were at stage IV. The patients ranged in age between 41 and 82 years, with a mean age of 65.6 years.

Table 1
Table 1 Demographic and clinicopathological characteristics of 106 patients with LCNEC
Full table

Both NLR and PLR levels showed no difference between the groups according to gender, age (<65 vs. ≥65), smoking history, TNM stage, lymph node metastasis, or neuroendocrine markers in the tumor. Since T staging is a rank variable, a correlation test was performed at NLR =2.52 (P=0.057). We therefore believe that there is a certain correlation between inflammatory index and tumor size. On account of this, correlation analysis was conducted when tumor size =4.5 cm (P=0.006 NLR, P=0.065 PLR). This showed that tumor size was significantly correlated with NLR and PLR (P=0.001); when the tumors were larger, the inflammatory markers were higher (Figure 1).

Figure 1 The distribution and dispersion trend of inflammatory index between tumor sizes less than 4.5 cm and larger than 4.5 cm. **, the results were significantly different, which means the P value is less than 0.05.

Additionally, NSE, which is often used in the diagnosis of neuroendocrine carcinoma, was associated with dichotomized NLR distribution (P=0.035).

Dichotomized inflammatory markers

NLR and PLR were dichotomized by a series of cut-offs to determine the best cut-off values of NLR and PLR in survival prediction of LCNEC. The best cutoffs of NLR (2.52) and PLR (133.6) were defined as those with the most appropriate relative risk coefficient in the x-tile (Figure 2), and the same method was used to determine the cut-offs of the absolute counts of lymphocytes (1.52×109), neutrophils (3.8×109), and platelets (254×109).

Figure 2 The risk coefficient series of PLR and NLR cut-off for the best discrimination of survival. PLR, platelet-to-lymphocyte ratio; NLR, neutrophil-to-lymphocyte ratio.

The AUC of the dichotomized NLR and PLR (0.629 and 0.612, respectively) were calculated in the time-dependent ROC (Table 2). Among the many indicators, NLR has the largest AUC, indicating its high predictive value.

Table 2
Table 2 The optimal cut-off values based on OS
Full table

Correlation between NLR and PLR in LCNEC patients

As shown in Figure 3, NLR and PLR in patients with LCNEC were linearly correlated to each other with a Pearson’s correlation coefficient of 0.525 (P<0.001). As Table 3 shows, a positive correlation between the dichotomized NLR and PLR was consistently found, with a kappa coefficient of 0.427 (P<0.001). This indicates that the NLR is closely related to the PLR.

Figure 3 Scatter plots of NLR and PLR. PLR, platelet-to-lymphocyte ratio; NLR, neutrophil-to-lymphocyte ratio.
Table 3
Table 3 Kappa test between dichotomized inflammatory markers
Full table

Low NLR or PLR was predictive factor of unfavorable prognosis in LCNEC patients

Univariate OS analysis was performed on the 106 patients. The median survival was 2.01 years, and the 3- and 5-year survival rates were 34% and 36%, respectively.

Kaplan-Meier survival analysis with a log-rank test suggested that NLR (P<0.001) had a distinct significance in the OS of LCNEC patients (Figure 4A), with those in the low-NLR group surviving for longer. The survival outcomes for patients with a low PLR were also more positive (P=0.003) (Figure 4B). Patients with low NSE were also found to survive significantly longer than patients with high NSE (P=0.003), although the number of patients with high NSE was small (Figure 4C).

Figure 4 Survival curve of each index. (A) Survival curves of LCNEC patients grouped by dichotomized NLR; (B) survival curves of LCNEC patients grouped by dichotomized PLR; (C) survival curves of LCNEC patients grouped by NSE =28.44 ng/mL; (D) survival curves of LCNEC patients grouped by dichotomized lymphocyte; (E) survival curves of LCNEC patients grouped by dichotomized neutrophil; (F) survival curves of LCNEC patients grouped by dichotomized platelet. NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; LCNEC, large cell neuroendocrine carcinoma; NSE, neuron specific enolase.

NLR is an independent predictive factor for the OS LCNEC patients in multivariate Cox regression

First, univariate Cox regression analysis of survival demonstrated that low NLR (HR =2.46, 95% CI: 1.508–4.011, P<0.001), PLR (HR =2.086, 95% CI: 1.279–3.402, P=0.003) and NSE (HR =2.651, 95% CI: 1.358–5.178, P=0.004) were protective factors for LCNEC patients. T category (T1, 2, 3 vs. T4) and N category (N0, 1, 2 vs. N3) also had important effects on LCNEC patient survival (Table 4).

To find out whether NLR and PLR were independent factors affecting survival, multivariate Cox regression analysis was performed using forward LR method. NLR (P<0.001) finally entered the model, while PLR failed to enter the model (Table 4). This may have been caused by the two indicators being too closely correlated (Table 3) and suggested that PLR was an independent prognostic factor for the LCNEC patients. T staging (P<0.001) had a decisive influence on the prognosis of the patients, which was higher than the effect of lymph node metastasis on their survival (Table 4).

Table 4
Table 4 Cox regression model of correlation factors, univariate and multivariate analysis
Full table

The impact of lymphocytes, neutrophils and platelets on survival

As previously mentioned, the close correlation between NLR and PLR implied that it was most likely the number of lymphocytes that contributed to the survival predictive effects in patients with LCNEC. Based on this inference, we performed log-rank tests on absolute counts of peripheral lymphocytes. The result showed that the absolute lymphocyte count had a significant effect on the prognosis, and the prognosis of the group with a high lymphocyte count was better than that of the group with a low lymphocyte count (Figure 4D).

We conducted subsequent analysis on two other factors, neutrophils and platelets, to examine their effect on survival. The absolute count of neutrophils also had a statistically significant effect on the survival of LCNEC patients (Figure 4E). As with the effect of the absolute platelet count on survival (Figure 4F), patients with a low neutrophil count had a better prognosis than those in the high-count group. Therefore, the effect NLR and PLR have on survival can essentially be attributed to these three factors, particularly lymphocytes.


Discussion

LCNEC was first proposed in 1991 as a high-level neuroendocrine carcinoma distinct from SCLC, and was then included by the WHO in its new lung cancer classification (20). Despite LCNEC and SCLC each demonstrating neuroendocrine markers, the two differ remarkably in relation to both pathological morphology and genetic mutation profiling (21). Due to their neuroendocrine characteristics, chemotherapy (platinum/etoposide) and radiotherapy are the typical non-surgical treatment options (22). However, these traditional treatments are less effective for patients with LCNEC. No efficient novel treatment regimens have been widely recognized in the last two decades, and the prognosis for LCNEC remains poor. Recently, several case reports have suggested that anti-PD-1/PD-L1 immunotherapy may provide a promising treatment option for LCNEC.

There is a lack of understanding surrounding the immunological characteristics of LCNEC. In 1985, the significance of NLR was first found in relation to respiratory inflammation, and patients with low NLR had better clinical outcomes (23). Up until now, the clinical significance of NLR has been revealed in a variety of infectious diseases, as well as in several kinds of cancer (24-27). For NSCLC, both NLR and PLR were reportedly reduced during concurrent chemoradiotherapy (P<0.001) (14), and were regarded as independent prognostic factors after pulmonary lobectomy (10). However, little is known about the significance of NLR and PLR for patients with LCNEC.

To our knowledge, this is the first report to reveal a close relationship between NLR or PLR and the prognosis of LCNEC patients. In this study, low NLR suggested favorable outcomes, while high NLR suggested poor survival, which is consistent with studies conducted on other kinds of cancer (11-13,18). Inflammatory markers in the peripheral blood, namely NLR and PLR, were found to be useful predictive prognostic factors for LCNEC.

Previous studies have uncovered that higher NSE (>44 ng/mL) was significantly associated with brain metastases in SCLC patients (28). In our study, higher NSE level (>28.44 ng/mL) was shown to be strongly related to shorter survival in LCNEC patients. Meanwhile, in a meta-analysis of castration-resistant prostate cancer, higher NSE and CGA hinted at an undesirable prognosis (29). In general, we can speculate that higher serum NSE may indicate poor prognosis for neuroendocrine neoplasms, including LCNEC.

In this study, we made a key observation that lymphocytes (P=0.001) and neutrophils (P=0.023) had a significant effect on LCNEC survival. Meanwhile, we found platelets (P=0.051) had a considerable effect on the survival of LCNEC patients. These findings suggest that these 3 factors (lymphocytes, neutrophils and platelets) are behind the impact NLR and PLR have on survival. This is a point that has generally been overlooked or not fully explored in existing research. Higher lymphocyte counts predicted longer survival, which is consistent with previous clinical studies of absolute lymphocyte counts in immunotherapy for NSCLC (30-32). Furthermore, generally, low neutrophil count results in longer survival, the mechanism behind which may be related to the cancer-promoting effect of neutrophils (33-35).

Additionally, we made the interesting observation that the levels of serum NSE in the high and low NLR groups seemed to be marginally different (P=0.035). Although serum NSE is a relevant indicator of neuroendocrine tumors, the combination of NLR or PLR with NSE may also hold some value for the clinical study of LCNEC.

Our data suggested that NLR and PLR levels were associated with tumor size. We proposed that tumor size probably affects the number of lymphocytes and other immunocytes in peripheral blood. This intriguing pattern implies that as the tumor grows, the lymphocyte-associated immune response may be downregulated.

Recently, NLR and PLR in NSCLC patients were demonstrated to be strongly correlated with the outcome of immuno-checkpoint inhibitors (15,33). Besides PD-L1 expression and TMB (tumor mutation burden), NLR and PLR may be additional biomarkers for the prediction of checkpoint inhibitors PD-1/PD-L1 antibodies (6). Checkpoint inhibitors were suggested in 2 case reports to be effective in LCNEC in spite of PD-L1 expression (36). Whether NLR and PLR hold promise as biomarkers in LCNEC for the prediction of checkpoint inhibitors efficacy is worthy of further study.


Conclusions

Due to the rarity of LCNEC, it is difficult to perform a study with a large cohort. In this study, we collected data from 108 cases of postoperative LCNEC, spanning a period of five years, and revealed that immunological markers, particularly NLR and PLR, can be used as predictive factors for the survival of LCNEC. Although dynamic monitoring of NLR and PLR before and after treatment may be more effective in predicting LCNEC survival, we found that one-off NLR and PLR detection before treatment can also hold a predictive value for the OS of LCNEC, particularly for early-stage patients. The value of NLR and PLR as predictive biomarkers for the efficacy of immune checkpoint inhibitors is worthy of further exploration in future clinical studies.


Acknowledgments

Funding: This study was supported in part by Shanghai Municipal Science and Technology Commission Natural Science Foundation (17ZR1423500) and National Natural Science Foundation Cultivation Project (22120180371).


Footnote

Conflicts of Interest: The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. Study had been approved by Shanghai Pulmonary Hospital Institutional Review Board (IRB). Number of approval document is 8319K57Y. The outcomes of this study will not affect the future management of patients. The patients’ personal data have been secured.

Data Sharing Statement: No additional data available.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Fasano M, Della Corte CM, Papaccio F, et al. Pulmonary Large-Cell Neuroendocrine Carcinoma: From Epidemiology to Therapy. J Thorac Oncol 2015;10:1133-41. [Crossref] [PubMed]
  2. Tsoukalas N, Baxevanos P, Aravantinou-Fatorou E, et al. Advances on systemic treatment for lung neuroendocrine neoplasms. Ann Transl Med 2018;6:146. [Crossref] [PubMed]
  3. Travis WD, Brambilla E, Nicholson AG, et al. The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification. J Thorac Oncol 2015;10:1243-60. [Crossref] [PubMed]
  4. Niho S, Kenmotsu H, Sekine I, et al. Combination chemotherapy with irinotecan and cisplatin for large-cell neuroendocrine carcinoma of the lung: a multicenter phase II study. J Thorac Oncol 2013;8:980-4. [Crossref] [PubMed]
  5. Chauhan A, Arnold SM, Kolesar J, et al. Immune checkpoint inhibitors in large cell neuroendocrine carcinoma: current status. Oncotarget 2018;9:14738-40. [Crossref] [PubMed]
  6. Wang VE, Urisman A, Albacker L, et al. Checkpoint inhibitor is active against large cell neuroendocrine carcinoma with high tumor mutation burden. J Immunother Cancer 2017;5:75. [Crossref] [PubMed]
  7. Bello JO, Olanipekun OO, Babata AL. Prognostic value of neutrophil-to-lymphocyte ratio in castration resistant prostate cancer: Single-centre study of Nigerian men. Niger J Clin Pract 2019;22:511-5. [Crossref] [PubMed]
  8. Kumano Y, Hasegawa Y, Kawahara T, et al. Pretreatment Neutrophil to Lymphocyte Ratio (NLR) Predicts Prognosis for Castration Resistant Prostate Cancer Patients Underwent Enzalutamide. Biomed Res Int 2019;2019:9450838.
  9. Lv Y, Zhang S, Liu Z, et al. Prognostic value of preoperative neutrophil to lymphocyte ratio is superior to systemic immune inflammation index for survival in patients with Glioblastoma. Clin Neurol Neurosurg 2019;181:24-7. [Crossref] [PubMed]
  10. Wang Y, Qu X, Kam NW, et al. An inflammation-related nomogram for predicting the survival of patients with non-small cell lung cancer after pulmonary lobectomy. BMC Cancer 2018;18:692. [Crossref] [PubMed]
  11. Negoi I, Beuran M, Hostiuc S, et al. Platelet-to-lymphocyte ratio and CA19-9 are simple and informative prognostic factors in patients with resected pancreatic cancer. Hepatobiliary Pancreat Dis Int 2019;18:203-5. [Crossref] [PubMed]
  12. Sakamoto T, Saito H, Amisaki M, et al. Combined preoperative platelet-to-lymphocyte ratio and serum carbohydrate antigen 19-9 level as a prognostic factor in patients with resected pancreatic cancer. Hepatobiliary Pancreat Dis Int 2019;18:278-84. [Crossref] [PubMed]
  13. Zheng J, Cai J, Li H, et al. Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio as Prognostic Predictors for Hepatocellular Carcinoma Patients with Various Treatments: a Meta-Analysis and Systematic Review. Cell Physiol Biochem 2017;44:967-81. [Crossref] [PubMed]
  14. Guo M, Li W, Li B, et al. Prognostic value of delta inflammatory biomarker-based nomograms in patients with inoperable locally advanced NSCLC. Int Immunopharmacol 2019;72:395-401. [Crossref] [PubMed]
  15. Amaral SR, Casal Moura M, Carvalho J, et al. 6PPrognostic significance of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors. Ann Oncol 2019;30. [Crossref]
  16. Fuca G, Galli G, Poggi M, et al. Modulation of peripheral blood immune cells by early use of steroids and its association with clinical outcomes in patients with metastatic non-small cell lung cancer treated with immune checkpoint inhibitors. ESMO Open 2019;4:e000457. [Crossref] [PubMed]
  17. Pavan A, Calvetti L, Dal Maso A, et al. Peripheral Blood Markers Identify Risk of Immune-Related Toxicity in Advanced Non-Small Cell Lung Cancer Treated with Immune-Checkpoint Inhibitors. Oncologist 2019;24:1128-36. [Crossref] [PubMed]
  18. Zenan H, Zixiong L, Zhicheng Y, et al. Clinical prognostic evaluation of immunocytes in different molecular subtypes of breast cancer. J Cell Physiol 2019;234:20584-602. [Crossref] [PubMed]
  19. Passiglia F, Galvano A, Castiglia M, et al. Monitoring blood biomarkers to predict nivolumab effectiveness in NSCLC patients. Ther Adv Med Oncol 2019;11:1758835919839928. [Crossref] [PubMed]
  20. Travis WD, Linnoila RI, Tsokos MG, et al. Neuroendocrine tumors of the lung with proposed criteria for large-cell neuroendocrine carcinoma. An ultrastructural, immunohistochemical, and flow cytometric study of 35 cases. Am J Surg Pathol 1991;15:529-53. [Crossref] [PubMed]
  21. Uruga H, Mino-Kenudson M. Lung neuroendocrine tumors: a new addition to the evolving list of spread through air spaces. Transl Lung Cancer Res 2019;8:S443-6. [Crossref] [PubMed]
  22. Lo Russo G, Pusceddu S, Proto C, et al. Treatment of lung large cell neuroendocrine carcinoma. Tumour Biol 2016;37:7047-57. [Crossref] [PubMed]
  23. Varenko IuS, Lekakh VA, Shidlovskaia MP. Significance of the ratio of blood lymphocytes to polymorphonuclear neutrophils in pneumonia and bronchitis patients. Vrach Delo 1985.102-3. [PubMed]
  24. Chon YE, Park H, Hyun HK, et al. Development of a New Nomogram Including Neutrophil-to-Lymphocyte Ratio to Predict Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization. Cancers (Basel) 2019;11. [Crossref] [PubMed]
  25. Kim WJ, Lim TW, Park PJ, et al. Prognostic markers affecting the early recurrence of hepatocellular carcinoma with liver cirrhosis after curative resection. Int J Biol Markers 2019;34:123-31. [PubMed]
  26. Kucharz J, Dumnicka P, Giza A, et al. Radiological Response and Neutrophil-to-Lymphocyte Ratio as Predictive Factors for Progression-Free and Overall Survival in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib. Adv Exp Med Biol 2019;1153:31-45. [Crossref] [PubMed]
  27. Lu Y, Huang HH, Lau WKO. Evaluation of neutrophil-to-lymphocyte ratio as a prognostic indicator in a Singapore cohort of patients with clinically localized prostate cancer treated with prostatectomy. World J Urol 2020;38:103-9. [PubMed]
  28. Guo D, Jing W, Zhu H, et al. Clinical value of carcinoembryonic antigen for predicting the incidence of brain metastases and survival in small cell lung cancer patients treated with prophylactic cranial irradiation. Cancer Manag Res 2018;10:3199-205. [Crossref] [PubMed]
  29. Liu Y, Zhao S, Wang J, et al. Serum Neuroendocrine Markers Predict Therapy Outcome of Patients with Metastatic Castration-Resistant Prostate Cancer: A Meta-Analysis. Urol Int 2019;102:373-84. [Crossref] [PubMed]
  30. Huemer F, Lang D, Westphal T, et al. Baseline Absolute Lymphocyte Count and ECOG Performance Score Are Associated with Survival in Advanced Non-Small Cell Lung Cancer Undergoing PD-1/PD-L1 Blockade. J Clin Med 2019;8. [Crossref] [PubMed]
  31. 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. [Crossref] [PubMed]
  32. Qin A, Street L, Cease K, et al. Clinical Determinants of Durable Clinical Benefit of Pembrolizumab in Veterans With Advanced Non-Small-Cell Lung Cancer. Clin Lung Cancer 2017;18:559-64. [Crossref] [PubMed]
  33. Diem S, Schmid S, Krapf M, et al. Neutrophil-to-Lymphocyte ratio (NLR) and Platelet-to-Lymphocyte ratio (PLR) as prognostic markers in patients with non-small cell lung cancer (NSCLC) treated with nivolumab. Lung Cancer 2017;111:176-81. [Crossref] [PubMed]
  34. Dumitru CA, Moses K, Trellakis S, et al. Neutrophils and granulocytic myeloid-derived suppressor cells: immunophenotyping, cell biology and clinical relevance in human oncology. Cancer Immunol Immunother 2012;61:1155-67. [Crossref] [PubMed]
  35. Faget J, Groeneveld S, Boivin G, et al. Neutrophils and Snail Orchestrate the Establishment of a Pro-tumor Microenvironment in Lung Cancer. Cell Rep 2017;21:3190-204. [Crossref] [PubMed]
  36. Chauhan A, Horn M, Magee G, et al. Immune checkpoint inhibitors in neuroendocrine tumors: A single institution experience with review of literature. Oncotarget 2017;9:8801-9. [Crossref] [PubMed]
Cite this article as: Shi M, Zhao W, Zhou F, Chen H, Tang L, Su B, Zhang J. Neutrophil or platelet-to-lymphocyte ratios in blood are associated with poor prognosis of pulmonary large cell neuroendocrine carcinoma. Transl Lung Cancer Res 2020;9(1):45-54. doi: 10.21037/tlcr.2020.01.17