Skip to main content
Cancer Management and Research logoLink to Cancer Management and Research
. 2018 Aug 28;10:3007–3014. doi: 10.2147/CMAR.S174656

A cumulative score based on preoperative fibrinogen and the neutrophil–lymphocyte ratio to predict outcomes in resectable gastric cancer

Xuechao Liu 1,2,*, Zhimin Liu 1,2,*, Enzi Lin 3,*, Yingbo Chen 1,2, Xiaowei Sun 1,2,, Zhiwei Zhou 1,2,
PMCID: PMC6118276  PMID: 30214295

Abstract

Background

Recent studies have revealed that preoperative fibrinogen and the neutrophil–lymphocyte ratio (NLR) are associated with poor outcome in gastric cancer (GC). We aimed to evaluate whether the fibrinogen and the NLR score had a consistent prognostic value for resectable GC.

Methods

We analyzed 1,293 consecutive patients who underwent curative surgery for GC. The F-NLR score was 2 for patients with hyperfibrinogenemia (>400 mg/dL) and elevated NLR (≥5.0), 1 for those with one abnormal index, and 0 for those with no abnormal indices.

Results

We found that higher F-NLR scores were associated with larger tumor size, deeper tumor invasion and more lymph node metastasis (all P<0.05). In a multivariate analysis, F-NLR independently predicted postoperative survival (P<0.001). When stratified by tumor–node–metastasis (TNM) stage, the prognostic value of F-NLR was still maintained for stages I–II (P<0.001) and stage III (P=0.003). Of note, F-NLR also effectively stratified overall survival (OS) irrespective of age, adjuvant chemotherapy administration, tumor location and histological grade (all P<0.05). Furthermore, F-NLR and TNM stratified 5-year OS from 61% (F-NLR 0) to 15% (F-NLR 2) and from 92% (stage I) to 37% (stage III), respectively. Utilizing both F-NLR and TNM, 5-year OS ranged from 93% (F-NLR 0, TNM I) to 6% (F-NLR 2, TNM III).

Conclusion

The F-NLR score independently predicts outcomes in GC patients after curative surgery. Therefore, it should be implemented in routine clinical practice for identifying more high-risk patients.

Keywords: F-NLR score, gastric cancer, prognosis, adjuvant chemotherapy, curative surgery

Introduction

Although the incidence of gastric cancer (GC) is decreasing, it remains one of the main causes of cancer-related death in the world, with a high rate of tumor recurrence and distant metastasis.1,2 Early detection is important. However, early-stage GC is often clinically silent with nonspecific symptoms.3 Although there have been massive strides in surgery and postoperative treatment, the clinical outcomes for GC patients remain poor with high rates of late diagnosis.4,5 Thus, it is of vital importance to identify independent prognostic factors to select patients for tailored treatments.

Over the past decades, numerous studies have revealed that several systemic inflammation scores, such as the neutrophil–lymphocyte ratio (NLR) and platelet–lymphocyte ratio (PLR), have important prognostic significance in various malignancies.68 A recent meta-analysis of ten studies provided concrete evidence that high NLR might be correlated with poor outcome in GC.9 In addition, fibrinogen, a 340 kD liver glycoprotein, has been shown to play an essential role in both systemic inflammatory responses and tumor progression.10,11 Many investigators have demonstrated the clinical utility of fibrinogen as a prognostic predictor in various types of malignancies.12,13 Recently, a new scoring system combining preoperative fibrinogen and the NLR (F-NLR) has been demonstrated as a promising prognostic marker for esophageal squamous cell carcinoma.14,15 However, the prognostic role of F-NLR in GC remains unclear.

In the current study, the clinical utility of F-NLR was determined in a large cohort of GC patients after curative surgery.

Patients and methods

Patients’ characteristics

We reviewed a clinical database of 1,293 consecutive GC patients after curative surgery at Sun Yat-sen University Cancer Center from October 2000 to September 2012. Our study protocol was conducted in accordance with the standards of the Declaration of Helsinki and approved by the ethical committee of Sun Yat-sen University Cancer Center. Informed consent was deemed unnecessary by the ethical committee, and all information was anonymous. The eighth edition of the tumor–node–metastasis (TNM) criteria was used for tumor staging, and other information was gathered from medical records.

The inclusion criteria of this study were patients who had the following: 1) histologically proven gastric adenocarcinoma, 2) complete data on clinicopathological features and outcome, 3) no neoadjuvant therapy, 4) no multiple primary synchronous malignant tumors and 5) no clinical evidence of infection or other inflammatory disease for at least 1 month before surgery.

Blood specimens were obtained within 1 week before surgery. Plasma fibrinogen concentrations were measured using a CS5100 coagulation analyzer (Sysmex Co., Kobe, Japan). Neutrophils, lymphocytes, platelet counts, and mean platelet volume were evaluated using the XN2000 automated hematology analyzer (Sysmex Co.). By multidisciplinary discussion, 5-fluorouracil-based adjuvant chemotherapy or combined treatment was routinely delivered to stage II–III GC patients without marked comorbidities that would preclude chemotherapy.

Follow-up

The routine follow-up scheme included a clinical review approximately 4 weeks post operation, followed by a complete history, physical examination, blood routine examination, gastroscopy and chest/abdominal/pelvic computerized tomography (CT) imaging, all routinely performed every 3 months during the first postoperative year and every 6 months afterward. The final follow-up date for our study was June 2015. Overall survival (OS) was calculated as the interval from the initial surgery until death or last follow-up.

Calculation of prognostic scores

The common cutoff threshold for plasma fibrinogen level was 400 g/L as previously described.16,17 Similarly, the NLR and PLR also used widely accepted thresholds.1821 The F-NLR was calculated as follows: an F-NLR score of 2, with hyperfibrinogenemia (>400 mg/dL) and elevated NLR (≥5.0); an F-NLR score of 1, with one abnormal index; an F-NLR score of 0, with no abnormal indices.

Statistical analysis

Relationships between the F-NLR score and categorical clinicopathological features were assessed using a two-tailed chi-squared test. Differences between the OS rate generated by the Kaplan–Meier curves were compared using the log-rank test. Prognostic factors were determined by the Cox proportional hazards model. All data were analyzed using SPSS version 19.0 (IBM Corporation, Armonk, NY, USA). A two-sided P-value of <0.05 was regarded as statistically significant. All data have been recorded at Sun Yat-sen University Cancer Center for future reference (number RDDA2017000336).

Results

Among the 1,293 patients (882 men), the median age was 59 (range 19–89) years (Table 1). The median duration of follow-up was 35 months. The mean preoperative plasma fibrinogen level (±SD) was 330±91 mg/dL (range 64–802). Patients were classified into two independent groups based on the cutoff threshold of fibrinogen and NLR (low ≤400 mg/dL or high >400 mg/dL and low <5 or high ≥5, respectively). Patients with hyperfibrinogenemia and elevated NLR had a poorer OS than those with low plasma fibrinogen levels and NLR (P<0.001 and P<0.001, respectively; Figure 1). In addition, further analysis showed that fibrinogen was positively correlated with NLR (P<0.001). Based on the criteria of the F-NLR score, patients were divided into three independent groups (F-NLR 0, n=986; F-NLR 1, n=279; F-NLR 2, n=28).

Table 1.

The clinicopathological features of 1,293 GC patients

Features Patients, n (%)
Age (years)
 <60 685 (53.0)
 ≥60 608 (47.0)
Sex
 Female 411 (31.8)
 Male 882 (68.2)
Tumor size (cm)
 <5 720 (55.7)
 ≥5 573 (44.3)
Tumor location
 Upper third 501 (38.7)
 Middle third 268 (20.7)
 Lower third 524 (40.5)
Histological grade
 Well differentiated 219 (16.9)
 Poorly differentiated 1,074 (83.1)
NLR
 <5.0 1,221 (94.4)
 ≥5.0 72 (5.6)
Fibrinogen (mg/dL)
 ≤400 1,030 (79.7)
 >400 263 (20.3)
PLR
 <150 792 (61.3)
 ≥150 and ≤300 438 (33.9)
 >300 63 (4.9)
MPV (fL)
 <10 981 (77.1)
 ≥10 292 (22.9)
F-NLR
 0 986 (76.3)
 1 279 (21.6)
 2 28 (2.2)
TNM stage
 I 218 (16.9)
 II 322 (24.9)
 III 753 (58.2)
Adjuvant chemotherapy
 No 498 (38.5)
 Yes 795 (61.5)

Note: F-NLR, combination of fibrinogen and the NLR.

Abbreviations: GC, gastric cancer; MPV, mean platelet volume; NLR neutrophil–lymphocyte ratio; PLR, platelet–lymphocyte ratio; TNM, tumor–node–metastasis.

Figure 1.

Figure 1

Kaplan–Meier survival curves according to preoperative fibrinogen (A) and the NLR (B).

Abbreviations: NLR, neutrophil–lymphocyte ratio; OS, overall survival.

The correlation between F-NLR score and clinicopathological features is summarized in Table 2. Higher F-NLR scores were more likely found in males (P=0.015) and were associated with older age (P<0.001), larger tumor size (P<0.001), tumor location in the upper third of the stomach (P=0.005), elevated PLR (P<0.001), deeper tumor invasion (P<0.001) and more lymph node metastasis (P=0.003).

Table 2.

The clinicopathological characteristics stratified by the F-NLR score

Characteristics F-NLR 0
(n=986)
F-NLR 1
(n=279)
F-NLR 2
(n=28)
P-value*
Age (years) <0.001
 <60 558 118 9
 ≥60 428 161 19
Sex 0.015
 Female 329 79 3
 Male 657 200 25
Tumor size (cm) <0.001
 <5 606 105 9
 ≥5 380 174 19
Tumor location 0.005
 Upper third 357 128 16
 Middle third 212 49 7
 Lower third 417 102 5
Histological grade 0.093
 Well differentiated 155 57 7
 Poorly differentiated 831 222 21
PLR <0.001
 <150 678 113 1
 ≥150 and ≤300 285 138 15
 >300 23 28 12
MPV (fL) 0.069
 <10 733 225 23
 ≥10 237 51 4
Tumor depth <0.001
 T1 142 13 0
 T2 120 19 1
 T3 211 64 8
 T4 513 183 19
Lymph node 0.003
 N0 347 66 4
 N1 148 49 8
 N2 171 51 5
 N3 320 113 11

Notes:

F-NLR, combination of fibrinogen and the NLR.

*

Values in bold refer to P-value with significance (P<0.05).

Abbreviations: MPV, mean platelet volume; NLR, neutrophil–lymphocyte ratio; PLR, platelet–lymphocyte ratio.

In a univariate survival analysis, eight clinicopathological parameters were significant predictors of survival (Table 3). After excluding the related parameters, the multivariate analysis identified the F-NLR score as an independent predictor of outcome (HR for F-NLR 1 and F-NLR 2: 1.274, 95% CI 1.043–1.555 and 2.228, 95% CI 1.423–3.487, respectively; P<0.001).

Table 3.

Univariate and multivariate analyses of prognostic factors in 1,296 patients with GC

Factors Univariate analysis
Multivariate analysis
HR (95% CI) P-value* HR (95% CI) P-value*
Age (years) <0.001 <0.001
 <60 1.00 1.00
 ≥60 1.490 (1.252, 1.774) 1.467 (1.228, 1.752)
Sex 0.667
 Female 1.00
 Male 1.042 (0.864, 1.256)
Tumor size (cm) <0.001 0.988
 <5 1.00 1.00
 ≥5 1.718 (1.443, 2.046) 0.999 (0.833, 1.198)
Tumor location <0.001 <0.001
 Upper third 1.00 1.00
 Middle third 0.673 (0.535, 0.847) 0.001 0.800 (0.632, 1.012) 0.062
 Lower third 0.456 (0.373, 0.558) <0.001 0.602 (0.489, 0.742) <0.001
Histological grade 0.027 0.032
 Well differentiated 1.00 1.00
 Poorly differentiated 1.328 (1.032, 1.710) 1.327 (1.024, 1.720)
NLR <0.001
 <5.0 1.00
 ≥5.0 2.313 (1.707, 3.134)
Fibrinogen (mg/dL) <0.001
 ≤400 1.00
 >400 1.618 (1.330, 1.969)
PLR 0.069
 <150 1.00
 ≥150 and ≤300 1.210 (1.007, 1.454) 0.042
 >300 1.325 (0.910, 1.930) 0.142
MPV (fL) 0.571
 <10 1.00
 ≥10 0.940 (0.757, 1.166)
F-NLR <0.001 <0.001
 0 1.00 1.00
 1 1.619 (1.331, 1.969) <0.001 1.274 (1.043, 1.555) 0.008
 2 3.326 (2.139, 5.172) <0.001 2.228 (1.423, 3.487) <0.001
TNM stage <0.001 <0.001
 I 1.00 1.00
 II 3.006 (1.764, 5.122) <0.001 2.525 (1.475, 4.321) 0.008
 III 11.059 (6.807, 17.967) <0.001 9.129 (5.565, 14.977) <0.001
Adjuvant chemotherapy 0.373
 No 1.00
 Yes 0.922 (0.771, 1.102)

Notes: F-NLR, combination of fibrinogen and the NLR.

*

Values in bold refer to P-value with significance (P<0.05).

Abbreviations: GC, gastric cancer; MPV, mean platelet volume; NLR, neutrophil–lymphocyte ratio; PLR, platelet–lymphocyte ratio; TNM, tumor–node–metastasis.

When stratified by TNM stage, the prognostic value of F-NLR was still maintained for stages I–II (P<0.001) and stage III (P=0.003; Figure 2). Furthermore, F-NLR also effectively stratified OS irrespective of age, adjuvant chemotherapy administration, tumor location and histological grade (all P<0.05; Figure 3). Of note, F-NLR and TNM stratified 5-year OS from 61% (F-NLR 0) to 15% (F-NLR 2) and from 92% (stage I) to 37% (stage III), respectively, whereas when utilizing both F-NLR and TNM, 5-year OS ranged from 93% (F-NLR 0, TNM I) to 6% (F-NLR 2, TNM III; Table 4).

Figure 2.

Figure 2

OS based on the F-NLR score in patients with stage I–III (A), stage I–II (B) and stage III (C) GC.

Note: F-NLR, combination of fibrinogen and the NLR.

Abbreviations: GC, gastric cancer; NLR, neutrophil–lymphocyte ratio; OS, overall survival.

Figure 3.

Figure 3

OS based on the F-NLR score in patients aged <60 years (A), patients aged ≥60 years (B), patients without adjuvant chemotherapy (C) and patients with adjuvant chemotherapy (D).

Note: F-NLR, combination of fibrinogen and the NLR.

Abbreviations: NLR, neutrophil–lymphocyte ratio; OS, overall survival.

Table 4.

Relationships between F-NLR and 5-year OS in patients undergoing curative resection for stage I–III GC

Characteristics TNM stage I
TNM stage II
TNM stage III
TNM stages I–III
n 5-year OS n 5-year OS n 5-year OS n 5-year OS
F-NLR 218 92 (2) 322 74 (3) 753 37 (2) 1293 56 (2)
0 195 93 (2) 249 80 (3) 542 41 (2) 986 61 (2)
1 23 89 (8) 66 53 (8) 190 32 (4) 279 42 (4)
2 0 NA 7 44 (2) 21 6 (6) 28 15 (8)

Notes: The values are expressed as n or percentage (standard error). Survival is not calculated if n≤10. F-NLR, combination of fibrinogen and the NLR.

Abbreviations: GC, gastric cancer; NA, not applicable; NLR, neutrophil–lymphocyte ratio; OS, overall survival.

Discussion

The results of the current study show that F-NLR, a newly proposed cumulative score, was an independent prognostic predictor in GC. Of note, its prognostic significance was still maintained in subgroups, including patients diagnosed with TNM stages I–II or stage III, as well as patients who did or did not receive adjuvant chemotherapy. Furthermore, F-NLR also effectively stratified OS irrespective of age, tumor location and histological grade.

Over the past decades, it has become widely accepted that cancer and inflammation are linked.22,23 Indeed, regardless of stage, the maintenance and development of the systemic inflammatory responses have been consistently linked to poorer prognosis.24,25 Although many organ systems act in the activation of systemic inflammatory responses, the common measurements of the magnitude of activation are circulating cellular components and acute-phase proteins. In particular, several common peripheral blood-derived inflammation-based scores, such as the Glasgow Prognostic Score (GPS), NLR, and PLR, have been demonstrated as promising prognostic predictors in various malignancies.2628 However, the measurement of serum C-reactive protein was not routinely taken in our hospital before 2005, and therefore, the prognostic value of GPS was not examined in the current study.

In addition, much attention has been paid to the association between hypercoagulation and malignancy progression in recent years.29,30 Accumulating evidence indicates that the activation of the coagulation cascade plays a key pathophysiological role during tumor progression.31 Fibrinogen, as an important component of the coagulation cascade, has been demonstrated as an essential regulator in both the systemic inflammatory response and tumor progression. First, fibrinogen provides a stable framework for the tumor extracellular matrix, which may promote tumor angiogenesis and enhance tumor cell adhesion, migration and invasion.32

Moreover, as an acute-phase protein, fibrinogen is released in response to infection or systemic inflammation. It may mediate the initial adhesion of leukocytes to endothelial cells and the release of pro-inflammatory cytokines, thereby leading to tumor cell proliferation and progression.33 Recent studies have presented evidence that fibrinogen correlates with tumor progression, poor response to chemotherapy and adverse clinical outcome in various types of cancer.12,34

Recently, a newly proposed scoring system (F-NLR) has garnered increasing attention in esophageal squamous cell carcinoma. Kijima et al14 proved that the F-NLR score had clinical potential as a predictor of therapeutic effects and outcomes in advanced esophageal squamous cell carcinoma. Another study, which evaluated 238 patients undergoing esophagectomy for esophageal squamous cell carcinoma, reported that the F-NLR score was a promising predictive marker of tumor progression and prognosis.15

However, in GC, the utility of the F-NLR score has not yet been systematically analyzed. Although Arigami et al35 found that the F-NLR score was an independent prognostic predictor in advanced GC, they only enrolled 68 patients with distant metastatic GC including locally advanced tumor and recurrent disease. The enrolled patients underwent nonuniform treatment, including surgery, chemotherapy or chemoradiotherapy. Because of the limited cases, they did not perform subgroup analyses to further verify the prognostic value. However, we aimed to determine whether the F-NLR score could better predict survival of patients after curative resection for stage I–III GC. Therefore, we performed a large-scale retrospective study and found that the F-NLR score could independently predict survival after curative resection of GC. As shown in Figures 12, the F-NLR score can effectively divide patients into three independent groups. Undoubtedly, F-NLR score could identify more high-risk patients than fibrinogen or NLR alone. Overall, the data suggest that the F-NLR score may provide more potent prognostic value than the individual indices. Furthermore, higher F-NLR scores were associated with larger tumor size, deeper tumor invasion, and lymph node metastasis. This observation was in line with previous studies that indicated that the F-NLR score was significantly correlated with tumor progression and aggressive biological behavior.14,15 In subgroup analyses, the F-NLR score still exhibited potential prognostic value, as shown in Figures 2 and 3. Indeed, our conclusions have been strengthened by the subgroup analyses. Moreover, the combination of F-NLR and TNM stage increased the range of survival compared to either F-NLR or TNM alone. Therefore, the inclusion of some valuable clinicopathological features as additional prognostic factors in TNM staging does not negate the role of host characteristics, such as the F-NLR score, in effective prognostic stratification. Indeed, F-NLR could identify more high-risk patients than the current TNM staging system alone. Thus, in clinical practice, patients with higher F-NLR scores may need better followup and lower thresholds for early intervention. On the other hand, in patients with F-NLR 2, it might be that preoperative early intervention should be given as a first-line treatment. Further prospective clinical trials are still needed to confirm these results.

Our study has several limitations. First of all, it is a retrospective study including only one institution, which may lead to a selection bias. Second, with limited data availability, some possible confounding factors, such as cardiovascular and kidney disease, probably influence the fibrinogen levels but cannot be analyzed. Third, we lack the follow-up information on disease-free survival, and our conclusions may be strengthened by using other survival measures.

Conclusion

The F-NLR score is an independent predictor of survival in GC, and it may have important clinical utility for identifying patients at high risk and guiding the administration of individualized treatment. Furthermore, the components of the F-NLR score are objectively measured and routinely available, which makes our findings potentially applicable to clinical practice.

Acknowledgments

The authors are grateful to the people who kindly cooperated in our study.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

References

  • 1.Karimi P, Islami F, Anandasabapathy S, Freedman ND, Kamangar F. Gastric cancer: descriptive epidemiology, risk factors, screening, and prevention. Cancer Epidemiol Biomarkers Prev. 2014;23(5):700–713. doi: 10.1158/1055-9965.EPI-13-1057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–E386. doi: 10.1002/ijc.29210. [DOI] [PubMed] [Google Scholar]
  • 3.Ichikawa D, Komatsu S, Kosuga T, et al. Clinicopathological characteristics of clinical early gastric cancer in the upper-third stomach. World J Gastroenterol. 2015;21(45):12851–12856. doi: 10.3748/wjg.v21.i45.12851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Roukos DH. Current advances and changes in treatment strategy may improve survival and quality of life in patients with potentially curable gastric cancer. Ann Surg Oncol. 1999;6(1):46–56. doi: 10.1007/s10434-999-0046-z. [DOI] [PubMed] [Google Scholar]
  • 5.Cuschieri A, Weeden S, Fielding J, et al. Patient survival after D1 and D2 resections for gastric cancer: long-term results of the MRC randomized surgical trial. Surgical Co-operative Group. Br J Cancer. 1999;79(9–10):1522–1530. doi: 10.1038/sj.bjc.6690243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Piciucchi M, Stigliano S, Archibugi L, et al. The neutrophil/lymphocyte ratio at diagnosis is significantly associated with survival in metastatic pancreatic cancer patients. Int J Mol Sci. 2017;18(4):730. doi: 10.3390/ijms18040730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kitano Y, Yamashita YI, Yamamura K, et al. Effects of preoperative neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios on survival in patients with extrahepatic cholangiocarcinoma. Anticancer Res. 2017;37:3229–3237. doi: 10.21873/anticanres.11685. [DOI] [PubMed] [Google Scholar]
  • 8.Yodying H, Matsuda A, Miyashita M, et al. Prognostic significance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in oncologic outcomes of esophageal cancer: a systematic review and meta-analysis. Ann Surg Oncol. 2016;23(2):646–654. doi: 10.1245/s10434-015-4869-5. [DOI] [PubMed] [Google Scholar]
  • 9.Zhang X, Zhang W, Feng LJ. Prognostic significance of neutrophil lymphocyte ratio in patients with gastric cancer: a meta-analysis. PLoS One. 2014;9(11):e111906. doi: 10.1371/journal.pone.0111906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tennent GA, Brennan SO, Stangou AJ, O’Grady J, Hawkins PN, Pepys MB. Human plasma fibrinogen is synthesized in the liver. Blood. 2007;109:1971–1974. doi: 10.1182/blood-2006-08-040956. [DOI] [PubMed] [Google Scholar]
  • 11.Perisanidis C, Psyrri A, Cohen EE, et al. Prognostic role of pretreatment plasma fibrinogen in patients with solid tumors: A systematic review and meta-analysis. Cancer Treat Rev. 2015;41:960–970. doi: 10.1016/j.ctrv.2015.10.002. [DOI] [PubMed] [Google Scholar]
  • 12.Tang L, Liu K, Wang J, Wang C, Zhao P, Liu J. High preoperative plasma fibrinogen levels are associated with distant metastases and impaired prognosis after curative resection in patients with colorectal cancer. J Surg Oncol. 2010;102(5):428–432. doi: 10.1002/jso.21668. [DOI] [PubMed] [Google Scholar]
  • 13.Shu Y-J, Weng H, Bao R-F, et al. Clinical and prognostic significance of preoperative plasma hyperfibrinogenemia in gallbladder cancer patients following surgical resection: a retrospective and in vitro study. BMC Cancer. 2014;14(1):566. doi: 10.1186/1471-2407-14-566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kijima T, Arigami T, Uchikado Y, et al. Combined fibrinogen and neutrophil-lymphocyte ratio as a prognostic marker of advanced esophageal squamous cell carcinoma. Cancer Sci. 2017;108:193–199. doi: 10.1111/cas.13127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Arigami T, Okumura H, Matsumoto M, et al. Analysis of the fibrinogen and neutrophil-lymphocyte ratio in esophageal squamous cell carcinoma: a promising blood marker of tumor progression and prognosis. Medicine. 2015;94(42):e1702. doi: 10.1097/MD.0000000000001702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zhang X. Long Q. Elevated serum plasma fibrinogen is associated with advanced tumor stage and poor survival in hepatocellular carcinoma patients. Medicine. 2017;96:e6694. doi: 10.1097/MD.0000000000006694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mei Y, Zhao S, Lu X, Liu H, Li X, Ma R. Clinical and prognostic significance of preoperative plasma fibrinogen levels in patients with operable breast cancer. PLoS One. 2016;11(1):e0146233. doi: 10.1371/journal.pone.0146233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wang DS, Ren C, Qiu MZ, et al. Comparison of the prognostic value of various preoperative inflammation-based factors in patients with stage III gastric cancer. Tumour Biol. 2012;33(3):749–756. doi: 10.1007/s13277-011-0285-z. [DOI] [PubMed] [Google Scholar]
  • 19.Aurello P, Tierno SM, Berardi G, et al. Value of preoperative inflammation-based prognostic scores in predicting overall survival and disease-free survival in patients with gastric cancer. Ann Surg Oncol. 2014;21(6):1998–2004. doi: 10.1245/s10434-014-3533-9. [DOI] [PubMed] [Google Scholar]
  • 20.Leitch EF, Chakrabarti M, Crozier JE, et al. Comparison of the prognostic value of selected markers of the systemic inflammatory response in patients with colorectal cancer. Br J Cancer. 2007;97(9):1266–1270. doi: 10.1038/sj.bjc.6604027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Neal CP, Cairns V, Jones MJ, et al. Prognostic performance of inflammation-based prognostic indices in patients with resectable colorectal liver metastases. Med Oncol. 2015;32(5):144. doi: 10.1007/s12032-015-0590-2. [DOI] [PubMed] [Google Scholar]
  • 22.Colotta F, Allavena P, Sica A, Garlanda C, Mantovani A. Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability. Carcinogenesis. 2009;30(7):1073–1081. doi: 10.1093/carcin/bgp127. [DOI] [PubMed] [Google Scholar]
  • 23.Mantovani A, Garlanda C, Allavena P. Molecular pathways and targets in cancer-related inflammation. Ann Med. 2010;42(3):161–170. doi: 10.3109/07853890903405753. [DOI] [PubMed] [Google Scholar]
  • 24.Ku JH, Kang M, Kim HS, Jeong CW, Kwak C, Kim HH. The prognostic value of pretreatment of systemic inflammatory responses in patients with urothelial carcinoma undergoing radical cystectomy. Br J Cancer. 2015;112(3):461–467. doi: 10.1038/bjc.2014.631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Hutterer GC, Sobolev N, Ehrlich GC, et al. Pretreatment lymphocyte-monocyte ratio as a potential prognostic factor in a cohort of patients with upper tract urothelial carcinoma. J Clin Pathol. 2015;68(5):351–355. doi: 10.1136/jclinpath-2014-202658. [DOI] [PubMed] [Google Scholar]
  • 26.Grenader T, Waddell T, Peckitt C, et al. Prognostic value of neutrophil-to-lymphocyte ratio in advanced oesophagogastric cancer: exploratory analysis of the REAL-2 trial. Ann Oncol. 2016;27(4):687–692. doi: 10.1093/annonc/mdw012. [DOI] [PubMed] [Google Scholar]
  • 27.Zhang J, Zhang H-Y, Li J, Shao X-Y, Zhang C-X. The elevated NLR, PLR and PLT may predict the prognosis of patients with colorectal cancer: a systematic review and meta-analysis. Oncotarget. 2017;8(40):68837–68846. doi: 10.18632/oncotarget.18575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chang PH, Wang CH, Chen EY, et al. Glasgow prognostic score after concurrent chemoradiotherapy is a prognostic factor in advanced head and neck cancer. Chin J Cancer Res. 2017;29:172–178. doi: 10.21147/j.issn.1000-9604.2017.03.02. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Yamamoto M, Kurokawa Y, Miyazaki Y, et al. Usefulness of Preoperative Plasma Fibrinogen Versus Other Prognostic Markers for Predicting Gastric Cancer Recurrence. World J Surg. 2016;40(8):1904–1909. doi: 10.1007/s00268-016-3474-5. [DOI] [PubMed] [Google Scholar]
  • 30.Luo Y, Kim HS, Kim M, Lee M, Song YS. Elevated plasma fibrinogen levels and prognosis of epithelial ovarian cancer: a cohort study and meta-analysis. J Gynecol Oncol. 2017;28(3):e36. doi: 10.3802/jgo.2017.28.e36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Simpson-Haidaris PJ, Rybarczyk B. Tumors and fibrinogen. The role of fibrinogen as an extracellular matrix protein. Ann N Y Acad Sci. 2001;936:406–425. [PubMed] [Google Scholar]
  • 32.Palumbo JS, Talmage KE, Massari JV, et al. Platelets and fibrin(ogen) increase metastatic potential by impeding natural killer cell-mediated elimination of tumor cells. Blood. 2005;105:178–185. doi: 10.1182/blood-2004-06-2272. [DOI] [PubMed] [Google Scholar]
  • 33.Ridker PM, Howard CP, Walter V, et al. Effects of interleukin-1beta inhibition with canakinumab on hemoglobin A1c, lipids, C-reactive protein, interleukin-6, and fibrinogen: a phase IIb randomized, placebo-controlled trial. Circulation. 2012;126:2739–2748. doi: 10.1161/CIRCULATIONAHA.112.122556. [DOI] [PubMed] [Google Scholar]
  • 34.Zhang D, Zhou X, Bao W, et al. Plasma fibrinogen levels are correlated with postoperative distant metastasis and prognosis in esophageal squamous cell carcinoma. Oncotarget. 2015;6(35):38410–38420. doi: 10.18632/oncotarget.4800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Arigami T, Uenosono Y, Ishigami S, et al. A novel scoring system based on fibrinogen and the neutrophil-lymphocyte ratio as a predictor of chemotherapy response and prognosis in patients with advanced gastric cancer. Oncology. 2016;90(4):186–192. doi: 10.1159/000444494. [DOI] [PubMed] [Google Scholar]

Articles from Cancer Management and Research are provided here courtesy of Dove Press

RESOURCES