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Journal of Gastrointestinal Oncology logoLink to Journal of Gastrointestinal Oncology
. 2018 Oct;9(5):972–978. doi: 10.21037/jgo.2018.08.05

The accuracy of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio as a marker for gastrointestinal malignancies

Ian Nora 1, Ravi Shridhar 2, Jamie Huston 3, Kenneth Meredith 3,4,
PMCID: PMC6219984  PMID: 30505600

Abstract

Background

Accurate predictors of locally advanced and recurrence disease in patients with gastrointestinal cancer are currently lacking. Neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) have emerged as possible markers for predicting recurrence in these patients. In this study, we sought to evaluate the utility of NLR and PLR in predicting the presence of regional nodal disease, metastasis and systemic recurrence in patients with gastrointestinal malignancies.

Methods

We queried a comprehensive gastrointestinal oncology database to identify patients who had undergone surgery for a GI malignancy. NLR and PLR values were determined via a complete blood count (CBC). In patients treated with neoadjuvant therapy (NT) the NLR and PLR were calculated from CBCs before and after NT and in patients proceeding to surgery within 2 weeks pre-operatively. The associations between NLR and PLR and the clinicopathologic parameters (sex, age, tumor size, differentiation, positive lymph nodes, and metastatic disease) were assessed via χ2 or Fisher’s exact tests where appropriate. All the tests were two-sided, and P<0.05 was considered statistically significant.

Results

We identified 116 patients diagnosed with gastrointestinal malignancies. There were 76 (65.5%) males and 40 (34.5%) females with an average age of 69.4±10.7 years. The mean follow up was 14.1±15.5 months. We identified 49 (42.2%) esophageal, 34 (29.3%) pancreatic, 14 (12.1%) colorectal, 13 (11.2%) gastric, and 6 (5.2%) biliary cancers. There were 36 (31.0%) patients with node negative disease, 52 (44.8%) with node positive and 28 (24.2%) with metastatic disease at surgery. Of the metastatic patients 4 (3.4%) were found at staging laparoscopy and 24 (20.6%) were diagnosed pre-operatively. The median NLR for LN− patient’s was 1.78 (0.23–8.2) and for LN+ and metastatic patients was 4.69 (2.27–36), P<0.001. The median PLR for LN– patient’s was 123.03 (14–257.69) and for LN+ and metastatic patients was 212.42 (105.45–2,185.18), P<0.001. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for a NLR >2.25 was 98.8%, 72.2%, 89%, and 96% respectively. The sensitivity, specificity, PPV, and NPV for PLR >140 was 95%, 78%, 90%, and 88% respectively. Utilizing both NLR and PLR the sensitivity, specificity, PPV and NPV was increased.

Conclusions

Elevation of NLR and PLR can be used to help identify patients with advanced disease GI malignancies and recurrences after surgery. Additionally, failure of normalization of NLR and PLR 3-month post-surgical resection may indicate early recurrence or persistent disease. Individually, NLR has a higher sensitivity and negative predictive value while PLR has a higher specificity and positive predictive value for distinguishing metastatic disease and node positivity. The combination of NLR and PLR has the highest accuracy of predicting advanced disease among all gastrointestinal malignancies.

Keywords: Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), gastrointestinal malignancies

Introduction

Gastrointestinal (GI) cancers remain a significant cause of cancer related mortality (1) with those patients who present with node positive or metastatic diseases exhibiting worse overall survival (2). Recurrences remain high and significantly impact outcomes with 5-year survivals less than 10% (3). It has been well established that early detection of GI malignancies could potentially result in an overall reduction in cancer related mortality via earlier interventions (4,5). Additionally, prognostic tools that could more accurately stage GI tumors could better guide therapeutic interventions (6).

The current prognosis of most GI cancers is dependent upon the TNM staging system. Unfortunately, simple accurate predictors for the presence of node positivity and metastatic disease are lacking. The current methods of assessing node positivity, metastatic and recurrent disease relies on laparoscopy, endoscopy, surgical resection, CT imaging or PET scanning (7). These methods may lead to increased time between identification of disease extent and initiation of the next stage of treatment. Unfortunately there are no simple clinical methods for predicting the likelihood of nodal positivity, recurrence, or metastatic disease (8).

Neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) have been investigated as potential markers in a number of cancers ranging from breast to GI malignancies; when there is an increased NLR or PLR, the cancer specific survival for patients decreases (3,9-14). Additionally, it has been suggested that combining NLR and PLR may further enhance the ability for predicting prognosis than using each independently (15). Some authors have correlated NLR and PLR with lymph node positivity, but there is little data utilizing these markers for predicting lymph node positivity among gastrointestinal cancers (16,17). A high NLR value has also been implicated as predictive for a patient to develop a recurrence in lung, hepatocellular, esophageal, and oral-pharyngeal malignancies (18-21). However, the predictive capacity of NLR and PLR in assessing risk of recurrence after surgical resection of GI malignancies remains unknown.

We sought to examine the individual and combined predictive potential of NLR and PLR in evaluating lymph node positivity, metastatic and recurrent disease in patients with gastrointestinal malignancies.

Methods

This study was approved by the institutional review board at Sarasota Memorial Institute for Cancer Care. A prospectively maintained gastrointestinal database was queried to identify patients with who underwent treatment between 2014–2016. The malignancies included in this study were: esophageal, pancreatic, colorectal, gastric, and biliary. NLR and PLR values were determined via complete blood counts (CBC) that were taken throughout treatment. The NLR was defined as the neutrophil count divided by the total lymphocyte count. PLR was determined as the absolute platelet count divided by the total lymphocyte count. The baseline value for determining an elevated PLR or NLR value was determined from previously published studies on PLR or NLR (18-21). The associations between PLR and NLR and outcomes were compared using Chi-squared or Fisher’s exact tests as appropriate. Each of these tests was two-sided and a P value of <0.05 was considered statistically significant.

Predicting lymph node positivity and metastases

Each patient was analyzed based on their PLR and NLR values before and after neoadjuvant therapy (NT). In those that did not undergo NT, the NLR and PLR values were obtained via a CBC taken immediately before surgery of the primary tumor. Lymph node positivity and metastatic disease were determined via surgical resection and post-operative pathological staging.

Predicting recurrence

Patients that had metastatic disease identified before surgery were discounted from the recurrence analysis. CBC values were taken pre-surgical intervention and 2 weeks post-surgery. Normal follow-up after surgery included a 3-month visit to determine baseline normalization of NLR and PLR. Recurrence of disease was identified via CT scans, PET scans, endoscopy, or laparoscopy and all were confirmed via biopsy. Once pathologic recurrences were confirmed, NLR and PLR values recorded after patients completed all interventions were compared with new NLR and PLR values.

Results

We identified 116 patients who were diagnosed with gastrointestinal malignancies, 76 (65.5%) were male and 40 (34.5%) were female with an average age of 69.4±10.7 years (Table 1). The mean follow up was 14.1±15.5 months. Of those, 49 (42.2%) were esophageal cancer, 34 (29.3%) pancreatic cancer, 14 (12.1%) colorectal cancer, 13 (11.2%) gastric cancer, and 6 (5.2%) biliary cancers. Among all the patients, 36 (31.0%) had node negative disease, 52 (44.8%) had node positive disease, and 28 (24.2%) patients had metastatic disease preoperatively. Those patients with metastatic disease, 4 (3.4%) were found during staging laparoscopy, and 24 (20.6%). were diagnosed preoperatively by imaging.

Table 1. Patient demographics (N=116).

Variable N (%)
Age, year, mean ± SD 69.4±10.7
Gender
   Male 76 (65.5)
   Female 40 (34.5)
Race
   White 101 (87.1)
   Black 10 (8.6)
   Hispanic 4 (3.4)
   Indian 1 (0.9)
Location
   Esophageal 49 (42.2)
   Pancreatic 34 (29.3)
   Colorectal 14 (12.1)
   Gastric 13 (11.2)
   Biliary 6 (5.2)
Histology
   Adeno. 98 (84.5)
   Neuroendocrine 5 (4.3)
   Cholangio. 4 (3.4)
   HCC 4 (3.4)
   GIST 3 (2.6)
   Squamous 2 (1.7)
Node/Mets status
   LN negative 36 (31.0)
   LN positive 52 (44.8)
   Metastatic disease 28 (24.2)

HCC, hepatocellular carcinoma; GIST, gastrointestinal stromal tumor.

Predicting LN+ disease and metastases

Lymph node (LN) negative patients exhibited a median and mean NLR value of 1.78 (0.23–8.20) and 2.22±1.41 respectively. Patients with lymph node positivity or metastatic disease exhibited a higher median and mean NLR of 4.69 (2.27 to 36) and 6.18±5.06 compared to LN− patients, P<0.001. There were minimal differences between the NLR for the node positive and metastatic disease patients. The patients with metastatic disease had slightly higher mean NLR 6.51±6.57 compared to the patients determined to have positive lymph node involvement 5.95±3.69, P=0.63.

PLR values for patients with LN− disease exhibited a median and mean value of 123.03 (14–257.69) and 126.19±46.86 respectively (Table 2). In lymph node positive and metastatic disease patients the median and mean PLR were higher compared to LN− patients 212.42 (105.45–2,185.18) and 283.38±259.95 respectively, P<0.001. Similar to NLR values, the mean PLR was slightly increased in the metastatic patients compared to the LN+ patients 290.82±352.40 and 278.04±169.54 respectively, P=0.83.

Table 2. Platelet to lymphocyte ratio and neutrophil to lymphocyte ratio (N=116).

Variable Mean ± SD Median (range)
Neutrophil to lymphocyte ratio
   Node negative 2.22±1.41 1.78 (0.23–8.20)
   Node positive 5.95±3.69 5.32 (2.27–17.80)
   Metastatic disease 6.51±6.57 4.51 (2.34–36.00)
   Combined 6.18±5.06 4.69 (2.27–36.00)
Platelet to lymphocyte ratio
   Node negative 126.19±46.86 123.03 (14.00–257.69)
   Node positive 278.04±169.54 241.54 (105.45–957.14)
   Metastatic disease 290.82±352.40 196.85 (106.38–2,185.18)
   Combined 283.38±259.95 212.42 (105.45–2,185.18)

, combined equals metastatic disease and node positive patients.

Utilizing NLR and PLR cut off numbers of 2.25 and 140 the sensitivity, specificity, positive predictive value, and negative predictive value and overall accuracy were determined. The sensitivity for NLR (98.8%) was higher compared to that of PLR (95%) with a combined sensitivity of NLR and PLR of 95%. Conversely, the specificity for PLR (78%) was greater than that of NLR (72.2%). The combined specificity for PLR and NLR was 89%. The positive predictive value (PPV) is comparable for both PLR (90%) and NLR (89%), while the combined PPV is greater than both at 95%. The negative predictive value (NPV) was much greater for NLR (96%) than the PLR (88%), but the combined NPV was 89%. The overall accuracy for NLR was 91%, for PLR 90%, and the combined accuracy of both the NLR and PLR was 93% (Table 3).

Table 3. NLR/PLR accuracy predicting disease presence (N=116).

Variable NLR >2.25 (%) PLR >140 (%) NLR >2.25 & PLR >140 (%)
Sensitivity 98.8 95 95
Specificity 72.2 78 89
Positive predictive value 89 90 95
Negative predictive value 96 88 89
Overall accuracy 91 90 93

NLR, neutrophil to lymphocyte ratio; PLR, platelet to lymphocyte ratio.

Predicting recurrence

There were 23 (19.8%) patients identified as having metastatic disease who did not undergo surgery that were excluded from recurrence analysis. Recurrences were identified in 27 (29%) patients after definitive treatment with a median time to recurrence of 6 [3–26] months. Sites of systemic recurrences included: liver 12 (44.4%), lung 5 (18.5%), peritoneal 5 (18.5%), nodal 4 (14.8%), and bone 1 (3.8%). Of these, patients with LN positive disease 18 (34.6%) at their original treatment were more likely to develop recurrence then those with negative lymph nodes 9 (25%), P=0.04. The median NLR for patients with recurrence was 6.8 (3.4–17) and the non-recurrent patients had a lower median NLR at 3.8 (0.28–14.4), P<0.001. The median PLR was 281 [122–657] for recurrences and 199 [14–452] for non-recurrent patients P=0.02 (Table 4).

Table 4. NLR/PLR predicting disease recurrence.

Variable Recurrent, median [range] Non-recurrent, median [range] P
NLR 6.8 [3.4–17] 3.8 [0.28–14.4] <0.001
PLR 281 [122–657] 199 [14–452] 0.02

NLR, neutrophil to lymphocyte ratio; PLR, platelet to lymphocyte ratio.

Discussion

Currently, tumor markers are inaccurate in their ability to predict specific GI cancers in a cheap and effective way. A number of markers have been previously studied including carcinoembryonic antigen (CEA) and CA19. The monitoring of CEA in colorectal cancers provided only a moderate increase in patient outcomes due to poor sensitivity and specificity of the CEA assay (22). CA19 was shown to be effective in pancreatic cancer detection with specificity and sensitivities around 80%, which leaves a significant number of recurrences undiagnosed (23). Thus, the need for additional more accurate markers such as NLR and PLR are paramount to the improvement in diagnosis of locally advanced/metastatic and recurrence disease.

We have demonstrated that neutrophil-lymphocyte and platelet-lymphocyte ratios are significant predictors of lymph node positivity/metastatic disease and disease recurrence in gastrointestinal malignancies. Although an elevated NLR or PLR has already been extensively linked to decreased survival (12-19), this is the first study to correlate NLR and PLR to lymph node positivity and metastatic disease. While both NLR and PLR have been investigated individually, (15,20), Feng et al. determined that a combination of PLR and NLR had a superior predictive value than individual PLR or NLR for esophageal squamous cell carcinoma (24). We corroborated these results in our own esophageal patients and demonstrated their prognostic potential and overall improvement in the accuracy in other gastrointestinal malignancies.

NLR and PLR have been investigated in non-gastrointestinal cancers, and found to correlate to increased recurrence rates (19-21). An elevation in these values in hepatocellular and pancreatic cancer similarly showed that PLR was predictive for cancer recurrence (20,25). Our data shows that both PLR and NLR are predictive of cancer recurrence. While an elevated PLR and NLR has been associated with poorer prognosis this mechanism is poorly understood. Some authors have suggested this to be a function of a larger primary tumor (26), we did not find this to be case as elevation of NLR and PLR were indicative of LN positivity and metastatic disease irrespective of size of primary tumor.

The presence of a systemic immune response in cancer patients is well recorded and numerous inflammatory cells have been found in tumors. Elevation of NLR and PLR may be due to decreased lymphocyte proliferation, which can enhance tumorigenesis and spread from the reduction of antitumor mechanisms (27). It has also been recorded that in sites of metastasis, there is a large number of leukocytes present, which may promote the growth and progression of the cancer (28,29). Cancer growth and lymph node metastasis have also been linked to an increased local immune status (30).

Thrombocytosis has been shown to decrease survival in patients diagnosed with lung cancer (31). Megakaryocytes are induced by cytokines such as IL-1 and IL-2 resulting in thrombocytosis (32). This systemic inflammatory response to the tumor leads to an increase in platelet counts. The associated increases of PLR and NLR could be attributed to this local immune condition created by the tumor. Thus, the increased number of neutrophils in the NLR is likely due the high density of neutrophils in the metastases. Malignancies also have the ability to activate anergic tolerance by lymphocytes or by expressing a suppressive influence on immune response through various cytokines (33,34). The depression of the innate immune response common in cancers is best seen by the reduction in the helper T-cell lymphocytes (35). Many of the patients in our study underwent chemotherapy prior to surgical resection of the cancer. It has been well documented that chemotherapy decreases lymphocyte numbers and overall immune function (36).

As of now, there are no definitive baseline values that constitute an elevated NLR or PLR that will indicate an increase in tumor burden. Some authors have suggested that a NLR [2–4] and PLR [120–200] indicates the presence of locally advanced or metastatic disease (15,37-39). There is likely to be no definitive baseline value that can be confirmed due to genetic variations in lymphocyte numbers and antigen affinities that differ within populations. Additionally, while the NLR and PLR can predict lymph node involvement or metastatic disease, it cannot be used to differentiate between the two. Therefore, these values should be used in conjunct with imaging to further identify extent of tumor burden.

Conclusions

We have demonstrated that neutrophil-lymphocyte and platelet-lymphocyte ratios are significant predictors of lymph node positivity and metastatic disease in patients diagnosed with gastrointestinal malignancies. Combining the predictive capabilities of NLR and PLR resulted in an accuracy of over 90% which was significantly improved over their individual accuracies. Additionally, NLR and PLR were able to diagnose recurrent disease and thus can be pivotal for surveillance in patients undergoing curative resection. Failure of normalization of NLR and PLR after surgery may be a marker for persistent disease or early metastatic disease unable to be identified by current imaging techniques mandating closer follow-up.

Acknowledgements

None.

Ethical Statement: This study was approved by the institutional review board at Sarasota Memorial Institute for Cancer Care.

Footnotes

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

References

  • 1.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J Clin 2015;65:5-29. 10.3322/caac.21254 [DOI] [PubMed] [Google Scholar]
  • 2.Mansfield CM, Kramer S, Southard ME, et al. Prognosis in patients with metastatic liver disease diagnosed by liver scan. Radiology 1969;93:77-84. 10.1148/23.1.77 [DOI] [PubMed] [Google Scholar]
  • 3.Absenger G, Szkandera J, Pichler M, et al. A derived neutrophil to lymphocyte ratio predicts clinical outcome in stage II and III colon cancer patients. Br J Cancer 2013;109:395-400. 10.1038/bjc.2013.346 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Watanabe M, Baba Y, Nagai Y, et al. Minimally invasive esophagectomy for esophageal cancer: an updated review. Surg Today 2013;43:237-44. 10.1007/s00595-012-0300-z [DOI] [PubMed] [Google Scholar]
  • 5.Hopper AD, Campbell JA. Early diagnosis of oesophageal cancer improves outcomes. Practitioner 2016;260:23-8, 3. [PubMed]
  • 6.Liu X, Long Z, Cai H, et al. Analysis of lymph node metastasis correlation with prognosis in patients with T2 gastric cancer. PLoS One 2014;9:e105112. 10.1371/journal.pone.0105112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rau B, Hünerbein M, Reingruber B, et al. Laparoscopic lymph node assessment in pretherapeutic staging of gastric and esophageal cancer. Recent Results Cancer Res 1996;142:209-15. 10.1007/978-3-642-80035-1_13 [DOI] [PubMed] [Google Scholar]
  • 8.Tavares A, Viveiros F, Maciel J, et al. Conventional clinical and pathological features fail to accurately predict recurrence in patients with gastric cancer staged N0. Eur J Gastroenterol Hepatol 2015;27:425-9. 10.1097/MEG.0000000000000307 [DOI] [PubMed] [Google Scholar]
  • 9.Krenn-Pilko S, Langsenlehner U, Stojakovic T, et al. The elevated preoperative derived neutrophil-to-lymphocyte ratio predicts poor clinical outcome in breast cancer patients. Tumour Biol 2016;37:361-8. 10.1007/s13277-015-3805-4 [DOI] [PubMed] [Google Scholar]
  • 10.Cheng H, Long F, Jaiswar M, et al. Prognostic role of the neutrophil-to-lymphocyte ratio in pancreatic cancer: a meta-analysis. Sci Rep 2015;5:11026. 10.1038/srep11026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ishizuka M, Oyama Y, Abe A, et al. Combination of platelet count and neutrophil to lymphocyte ratio is a useful predictor of postoperative survival in patients undergoing surgery for gastric cancer. J Surg Oncol 2014;110:935-41. 10.1002/jso.23753 [DOI] [PubMed] [Google Scholar]
  • 12.Lee S, Oh SY, Kim SH, et al. Prognostic significance of neutrophil lymphocyte ratio and platelet lymphocyte ratio in advanced gastric cancer patients treated with FOLFOX chemotherapy. BMC Cancer 2013;13:350. 10.1186/1471-2407-13-350 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jung J, Park SY, Park SJ, et al. Prognostic value of the neutrophil-to-lymphocyte ratio for overall and disease-free survival in patients with surgically treated esophageal squamous cell carcinoma. Tumour Biol 2016;37:7149-54. 10.1007/s13277-015-4596-3 [DOI] [PubMed] [Google Scholar]
  • 14.An X, Ding PR, Li YH, et al. Elevated neutrophil to lymphocyte ratio predicts survival in advanced pancreatic cancer. Biomarkers 2010;15:516-22. 10.3109/1354750X.2010.491557 [DOI] [PubMed] [Google Scholar]
  • 15.Feng JF, Huang Y, Chen QX. Preoperative platelet lymphocyte ratio (PLR) is superior to neutrophil lymphocyte ratio (NLR) as a predictive factor in patients with esophageal squamous cell carcinoma. World J Surg Oncol 2014;12:58. 10.1186/1477-7819-12-58 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Pang W, Lou N, Jin C, et al. Combination of preoperative platelet/lymphocyte and neutrophil/lymphocyte rates and tumor-related factors to predict lymph node metastasis in patients with gastric cancer. Eur J Gastroenterol Hepatol 2016;28:493-502. 10.1097/MEG.0000000000000563 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Khan AA, Akritidis G, Pring T, et al. The Neutrophil-to-Lymphocyte Ratio as a Marker of Lymph Node Status in Patients with Rectal Cancer. Oncology 2016;91:69-77. 10.1159/000443504 [DOI] [PubMed] [Google Scholar]
  • 18.Shao N, Cai Q. High pretreatment neutrophil-lymphocyte ratio predicts recurrence and poor prognosis for combined small cell lung cancer. Clin Transl Oncol 2015;17:772-8. 10.1007/s12094-015-1289-8 [DOI] [PubMed] [Google Scholar]
  • 19.Ozturk K, Akyildiz NS, Uslu M, et al. The effect of preoperative neutrophil, platelet and lymphocyte counts on local recurrence and survival in early-stage tongue cancer. Eur Arch Otorhinolaryngol 2016;273:4425-9. 10.1007/s00405-016-4098-y [DOI] [PubMed] [Google Scholar]
  • 20.Lai Q, Castro Santa E, Rico Juri JM, et al. Neutrophil and platelet-to-lymphocyte ratio as new predictors of dropout and recurrence after liver transplantation for hepatocellular cancer. Transpl Int 2014;27:32-41. 10.1111/tri.12191 [DOI] [PubMed] [Google Scholar]
  • 21.Sharaiha RZ, Halazun KJ, Mirza F, et al. Elevated preoperative neutrophil:lymphocyte ratio as a predictor of postoperative disease recurrence in esophageal cancer. Ann Surg Oncol 2011;18:3362-9. 10.1245/s10434-011-1754-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Duffy MJ. Carcinoembryonic antigen as a marker for colorectal cancer: is it clinically useful? Clin Chem 2001;47:624-30. [PubMed] [Google Scholar]
  • 23.Gui JC, Yan WL, Liu XD. CA19-9 and CA242 as tumor markers for the diagnosis of pancreatic cancer: a meta-analysis. Clin Exp Med 2014;14:225-33. 10.1007/s10238-013-0234-9 [DOI] [PubMed] [Google Scholar]
  • 24.Feng JF, Huang Y, Liu JS. Combination of neutrophil lymphocyte ratio and platelet lymphocyte ratio is a useful predictor of postoperative survival in patients with esophageal squamous cell carcinoma. Onco Targets Ther 2013;6:1605-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Garcea G, Ladwa N, Neal CP, et al. Preoperative neutrophil-to-lymphocyte ratio (NLR) is associated with reduced disease-free survival following curative resection of pancreatic adenocarcinoma. World J Surg 2011;35:868-72. 10.1007/s00268-011-0984-z [DOI] [PubMed] [Google Scholar]
  • 26.Chiang SF, Hung HY, Tang R, et al. Can neutrophil-to-lymphocyte ratio predict the survival of colorectal cancer patients who have received curative surgery electively? Int J Colorectal Dis 2012;27:1347-57. 10.1007/s00384-012-1459-x [DOI] [PubMed] [Google Scholar]
  • 27.Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell 2010;140:883-99. 10.1016/j.cell.2010.01.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Coussens LM, Werb Z. Inflammation and cancer. Nature 2002;420:860-7. 10.1038/nature01322 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Koizumi K, Hojo S, Akashi T, et al. Chemokine receptors in cancer metastasis and cancer cell-derived chemokines in host immune response. Cancer Sci 2007;98:1652-8. 10.1111/j.1349-7006.2007.00606.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Maehara Y, Tomisaki S, Oda S, et al. Lymph node metastasis and relation to tumor growth potential and local immune response in advanced gastric cancer. Int J Cancer 1997;74:224-8. [DOI] [PubMed] [Google Scholar]
  • 31.Pedersen LM, Milman N. Prognostic significance of thrombocytosis in patients with primary lung cancer. Eur Respir J 1996;9:1826-30. 10.1183/09031936.96.09091826 [DOI] [PubMed] [Google Scholar]
  • 32.Alexandrakis MG, Passam FH, Moschandrea IA, et al. Levels of serum cytokines and acute phase proteins in patients with essential and cancer-related thrombocytosis. Am J Clin Oncol 2003;26:135-40. 10.1097/00000421-200304000-00007 [DOI] [PubMed] [Google Scholar]
  • 33.Rosenberg SA, Yang JC, Restifo NP. Cancer immunotherapy: moving beyond current vaccines. Nat Med 2004;10:909-15. 10.1038/nm1100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Salazar-Onfray F, López MN, Mendoza-Naranjo A. Paradoxical effects of cytokines in tumor immune surveillance and tumor immune escape. Cytokine Growth Factor Rev 2007;18:171-82. 10.1016/j.cytogfr.2007.01.015 [DOI] [PubMed] [Google Scholar]
  • 35.Menges T, Engel J, Welters I, et al. Changes in blood lymphocyte populations after multiple trauma: association with posttraumatic complications. Crit Care Med 1999;27:733-40. 10.1097/00003246-199904000-00026 [DOI] [PubMed] [Google Scholar]
  • 36.Mackall CL, Fleisher TA, Brown MR, et al. Lymphocyte depletion during treatment with intensive chemotherapy for cancer. Blood 1994;84:2221-8. [PubMed] [Google Scholar]
  • 37.Haruki K, Shiba H, Horiuchi T, et al. Neutrophil to Lymphocyte Ratio Predicts Therapeutic Outcome After Pancreaticoduodenectomy for Carcinoma of the Ampulla of Vater. Anticancer Res 2016;36:403-8. [PubMed] [Google Scholar]
  • 38.Ying HQ, Deng QW, He BS, et al. The prognostic value of preoperative NLR, d-NLR, PLR and LMR for predicting clinical outcome in surgical colorectal cancer patients. Med Oncol 2014;31:305. 10.1007/s12032-014-0305-0 [DOI] [PubMed] [Google Scholar]
  • 39.Namikawa T, Munekage E, Munekage M, et al. Evaluation of Systemic Inflammatory Response Biomarkers in Patients Receiving Chemotherapy for Unresectable and Recurrent Advanced Gastric Cancer. Oncology 2016;90:321-6. 10.1159/000446373 [DOI] [PubMed] [Google Scholar]

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