Literature DB >> 30568490

Combined fibrinogen and neutrophil-lymphocyte ratio as a predictive factor in resectable colorectal adenocarcinoma.

Xiao Li1,2, Bang An3, Qi Zhao1,2, Jianni Qi2,4, Wenwen Wang1,2, Di Zhang1,2, Zhen Li1,2, Chengyong Qin1,2,5.   

Abstract

PURPOSE: The aim of this study was to investigate the clinical significance of the combined fibrinogen and neutrophil-lymphocyte ratio (F-NLR) in patients with resectable colorectal cancer (CRC). PATIENTS AND METHODS: We retrospectively recruited 693 patients with stage I-III CRC following curative surgery. Cutoff values of the preoperative fibrinogen and neutrophil-lymphocyte ratio (NLR) were determined with the receiver operating characteristic analysis. Patients were divided into three groups based on the F-NLR value and were further divided into the chemotherapy and nonchemotherapy groups. The overall survival (OS) and disease-free survival (DFS) were evaluated with the Kaplan-Meier survival method, the log-rank test, univariate and multivariate Cox proportional hazards models, and subgroup analyses.
RESULTS: The Kaplan-Meier survival curves revealed that the 5-year OS rates in the F-NLR 0, 1, and 2 groups were 78.4%, 52%, 42.6%, respectively (P<0.001), and the 5-year DFS rates were 54.9%, 43.9%, 26.7%, respectively (P<0.001). Multivariate analyses revealed that the F-NLR score was an independent prognostic factor for both the OS (P=0.035) and the DFS (P=0.001). In addition, subgroup analyses based on the histological type showed that an elevated F-NLR score was significantly associated with worse OS (P=0.001) and DFS (P<0.001) in patients with colorectal adenocarcinoma. Furthermore, DFS in the F-NLR 0-1 group was significantly shortened after the administration of chemotherapy (P=0.005); however, patients with a relatively higher F-NLR score showed slight OS benefit from adjuvant chemotherapy (P=0.144).
CONCLUSION: The F-NLR score, as a novel inflammation-based grading index, was a potential predictor for the prognosis and responses to chemotherapy in patients with resectable CRC.

Entities:  

Keywords:  colorectal cancer; fibrinogen; inflammation; neutrophil-lymphocyte ratio; prognosis

Year:  2018        PMID: 30568490      PMCID: PMC6267773          DOI: 10.2147/CMAR.S161094

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Colorectal cancer (CRC) is one of the most aggressive malignancies among gastrointestinal tract cancers worldwide.1,2 Surgery is the mainstay treatment method for patients with early stage CRCs, and chemotherapy is recommended for patients with stage III and high-risk stage II CRCs.3,4 Despite the dramatic development in surgical techniques and adjuvant therapies, the 5-year survival rate remains poor.5,6 Thus, it is necessary and important to search for sensitive biomarkers to evaluate the prognosis and responses to chemotherapy before starting treatments. Over the past several decades, cancer-related systemic inflammation has been proved to be crucial in the progression and prognosis of several cancers.7–9 Recently, several inflammation-based biomarkers, including the neutrophil–lymphocyte ratio (NLR),10–12 platelet–lymphocyte ratio (PLR),13,14 and fibrinogen,15–17 were reported as prognostic factors in several types of malignancies. The Glasgow Prognostic Score (GPS), defined as the combination of serum C-reactive protein (CRP) and albumin, has been demonstrated to have predictive value in various malignancies, including CRC.18–21 The systemic immune inflammation index (SII), which was calculated with peripheral lymphocyte, neutrophil, and platelet counts, was a powerful prognostic factor for hepatocellular carcinoma and CRC.22,23 Recent studies have emphasized that the F-NLR score, which was the combination of the fibrinogen and NLR, was associated with malignant behaviors and clinical outcomes of various carcinomas, such as non-small cell lung cancer,24 esophageal cancer,25 and gastric cancer.26 However, to date, the prognostic value of F-NLR for CRC patients has not been investigated and whether F-NLR has effects on prognosis and chemotherapeutic efficacy needs to be investigated. In the present study, we investigated the prognostic and predictive value of F-NLR in CRC patients who underwent curative resection.

Patients and methods

Patients

We retrospectively recruited 693 CRC patients who underwent radical surgery at the Shandong Provincial Hospital Affiliated to Shandong University between March 2000 and July 2016. The inclusion criteria were as follows: 1) patients with pathologically diagnosed primary adenocarcinoma or mucinous adenocarcinoma; 2) patients who underwent complete resection without positive margins; 3) patients with stage I–III CRCs; and 4) patients with intact data of preoperative peripheral blood counts, follow-up information (more than 2 months), and medical record. The exclusion criteria were as follows: 1) patients with hematological disorders, active infectious diseases, or autoimmune diseases; 2) patients who received preoperative treatment (chemotherapy or radiotherapy); 3) patients who received anti-inflammatory or immunosuppressive treatment; 4) patients with more than one primary carcinoma; 5) patients with a history of venous thrombosis or blood transfusion within the past 3 months; and 6) patients who underwent emergency surgeries due to obstruction or enterobrosis.

Data collection

Clinical parameters were obtained from the medical records: gender, age, differentiation, histological type, T stage, N stage, TNM stage, morphology, primary tumor location, tumor size, venous invasion, perineural invasion, tumor deposits, and chemotherapy treatment. Patients were divided into three groups according to the primary tumor location: right colon cancer (RCC, cecum to transverse), left colon cancer (LCC, splenic flexure to rectosigmoid), and rectal cancer (RECC, rectum). The TNM stage was assessed with the seventh edition of the American Joint Committee on Cancer staging manual.27

F-NLR evaluation

The results of preoperative laboratory examinations including the levels of fibrinogen, lymphocytes, and neutrophils were extracted to evaluate the F-NLR score. The NLR was defined as the neutrophil count divided by the lymphocyte count. Using cancer-specific death as the endpoint, the receiver operating characteristic (ROC) analysis was performed to obtain the optimal cutoff value with the highest Youden index. The cutoff values were 2.34 for NLR and 2.97 g/L for fibrinogen (sensitivity and specificity: 54.7% and 62.7% for NLR, 82.3% and 40% for fibrinogen, respectively; Figure 1). The areas under the concentration–time curve (AUC) were 0.597 and 0.639, respectively. The F-NLR score was calculated as follows: patients with an elevated fibrinogen (>2.97 g/L) and an increased NLR (>2.34) were assigned a score of 2, those with only one of the two abnormalities were classified as a score of 1, and those with neither of the two abnormalities were assigned a score of 0.
Figure 1

ROC curves to assess the predictive value of plasma fibrinogen and NLR.

Notes: The cutoff values were 2.34 for NLR and 2.97 g/L for fibrinogen (sensitivity and specificity: 54.7% and 62.7% for NLR, 82.3% and 40% for fibrinogen, respectively).

Abbreviations: NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; ROC, receiver operating characteristic.

Follow-up

The overall survival (OS) and disease-free survival (DFS) were chosen as primary endpoints. The OS was defined as the interval between the date of surgery and death. The DFS was defined as the time between the date of surgery and the time of first recurrence or metastasis or the end of life. The median duration of follow-up was 21.69 months (range: 2–202 months).

Statistical analyses

All data were analyzed with SPSS software version 22.0 (IBM Corporation, Armonk, NY, USA). The AUC was obtained with the ROC analysis. The optimal cutoff values for NLR and fibrinogen were calculated with the Youden index. The chi-squared test or the Fisher’s exact test was performed to compare the relationship among F-NLR and other variables. The Kaplan–Meier method, the log-rank test, univariate and multivariate analyses, and subgroup analyses were performed to compare the survival outcomes. Variables with a P-value of <0.1 in the univariate analysis were included in the multivariate Cox proportional hazards regression model. A two-sided P<0.05 was considered statistically significant.

Ethics statement

The present study was approved by the medical ethics committee of Shandong Provincial Hospital Affiliated to Shan-dong University. Written informed consent was obtained from all patients involved.

Results

Baseline characteristics of CRC patients

A total of 693 CRC patients (64.2% male and 35.8% female) were enrolled in this study; 58.6% of the patients were younger than 60 years; 41.1% had small tumors <4 cm in size; and 79.9% received adjuvant chemotherapy. Patients with TNM stages I, II, and III accounted for 9.2%, 39.8%, and 50.9%, respectively. Of all the patients, 108 (15.6%) tumors were located in the right colon, 156 (22.5%) tumors in the left colon, and the remaining 429 (61.9%) tumors were located in the rectum. Patients with the histological type of adenocarcinoma and mucinous adenocarcinoma accounted for 84.3% and 15.7%, respectively. Patients were categorized into three groups based on the F-NLR score, of whom 181 (26.1%) patients had an F-NLR score of 0, 295 (42.6%) patients had an F-NLR score of 1, and 217 (31.3%) patients had an F-NLR score of 2. Significant differences were observed among the F-NLR 0, 1, and 2 groups in terms of age (P=0.001), histological type (P=0.043), T stage (P=0.034), TNM stage (P=0.021), morphology (P=0.026), primary tumor location (P=0.015), and tumor size (P=0.016; Table 1).
Table 1

Comparison of demographic and clinicopathological features among patients with different F-NLRs

FeaturesF-NLR
All (N=693)P-value*
0 (n=181)1 (n=295)2 (n=217)

Gender0.523
 Male114 (63%)185 (62.7%)146 (67.3%)445 (64.2%)
 Female67 (37%)110 (37.3%)71 (32.7%)248 (35.8%)
Age (years)0.001
 ≤60127 (70.2%)154 (52.2%)125 (57.6%)406 (58.6%)
 >6054 (29.8%)141 (47.8%)92 (42.4%)287 (41.4%)
Differentiation0.052
 Well12 (6.6%)22 (7.5%)11 (5.1%)45 (6.5%)
 Moderate130 (71.8%)211 (71.5%)137 (63.1%)478 (69%)
 Poor31 (17.1%)39 (13.2%)45 (20.7%)115 (16.6%)
 Unknown8 (4.4%)23 (7.8%)24 (11.1%)55 (7.9%)
Histological type0.043
 Adenocarcinoma163 (90.1%)244 (82.7%)177 (81.6%)584 (84.3%)
 Mucinous type18 (9.9%)51 (17.3%)40 (18.4%)109 (15.7%)
T stage0.034
 1–231 (17.1%)42 (14.2%)16 (7.4%)89 (12.8%)
 349 (27.1%)84 (28.5%)58 (26.7%)191 (27.6%)
 4101 (55.8%)169 (57.3%)143 (65.9%)413 (59.6%)
N stage0.652
 098 (54.1%)139 (47.1%)104 (47.9%)341 (49.2%)
 145 (24.9%)86 (29.2%)63 (29%)194 (28%)
 238 (21%)70 (23.7%)50 (23%)158 (22.8%)
TNM stage0.021
 127 (14.9%)25 (8.5%)12 (5.5%)64 (9.2%)
 271 (39.2%)113 (38.3%)92 (42.4%)276 (39.8%)
 383 (45.9%)157 (53.2%)113 (52.1%)353 (50.9%)
Morphology0.026
 Expansive27 (14.9%)64 (21.7%)25 (11.5%)116 (16.7%)
 Infiltrative3 (1.7%)11 (3.7%)7 (3.2%)21 (3%)
 Ulcerative149 (82.3%)217 (73.6%)179 (82.5%)545 (78.6%)
 Complex2 (1.1%)3 (1%)6 (2.8%)11 (1.6%)
Location0.015
 RCC17 (9.4%)51 (17.3%)40 (18.4%)108 (15.6%)
 LCC37 (20.4%)61 (20.7%)58 (26.7%)156 (22.5%)
 RECC127 (70.2%)183 (62%)119 (54.8%)429 (61.9%)
Tumor size0.016
 ≤4 cm90 (49.7%)123 (41.7%)72 (33.2%)285 (41.1%)
 >4 cm86 (47.5%)158 (53.6%)132 (60.8%)376 (54.3%)
 Unknown5 (2.8%)14 (4.7%)13 (6%)32 (4.6%)
Venous invasion0.693
 Positive9 (5%)10 (3.4%)9 (4.1%)28 (4%)
 Negative172 (95%)285 (96.6%)208 (95.9%)665 (96%)
Perineural invasion0.595
 Positive5 (2.8%)10 (3.4%)10 (4.6%)25 (3.6%)
 Negative176 (97.2%)285 (96.6%)207 (95.4%)668 (96.4%)
Tumor deposits0.295
 Present5 (2.8%)17 (5.8%)9 (4.1%)31 (4.5%)
 Absent176 (97.2%)278 (94.2%)208 (95.9%)662 (95.5%)
Chemotherapy0.768
 Yes143 (79%)234 (79.3%)177 (81.6%)554 (79.9%)
 No38 (21%)61 (20.7%)40 (18.4%)139 (20.1%)

Notes:

P-values were calculated by the chi-squared test or the Fisher’s exact test. P-value for significance was <0.05.

Abbreviations: LCC, left colon cancer; NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; RCC, right colon cancer; RECC, rectal cancer.

Univariate and multivariate analyses for OS

The age (HR=0.600; 95% CI=0.407–0.884; P=0.010), histological type (HR=0.574; 95% CI=0.351–0.938; P=0.027), T stage (P=0.007), N stage (P<0.001), venous invasion (HR=2.810; 95% CI=1.416–5.578; P=0.003), perineural invasion (HR=4.065; 95% CI=1.946–8.491; P<0.001), tumor deposits (HR=2.579; 95% CI=1.296–5.133; P=0.007), and F-NLR (P=0.001) were significantly associated with OS in the univariate analysis. Multivariate analysis after controlling for these cofounders revealed that age (HR=0.538; 95% CI=0.357–0.811; P=0.003), N stage (P<0.001), and F-NLR (P=0.035) were independent prognostic factors for OS (Table 2).
Table 2

Univariate and multivariate Cox analyses of OS in CRC patients

VariablesUnivariate analysisMultivariate analysis
HR (95% CI)P-valueHR (95% CI)P-value
Gender (male/female)1.043 (0.699–1.557)0.873
Age (≤60/>60) (years)0.600 (0.407–0.884)0.0100.538 (0.357–0.811)0.003
Differentiation0.112
 Well/poor0.662 (0.283–1.551)
 Moderate/poor0.718 (0.441–1.167)
Histological subtype0.0270.215
Adenocarcinoma/mucinous type0.574 (0.351–0.938)0.727 (0.439–1.203)
T stage0.0070.052
 1–2/40.054 (0.008–0.391)0.085 (0.012–0.620)
 3/40.724 (0.465–1.127)0.937 (0.588–1.493)
N stage<0.001<0.001
 0/20.283 (0.174–0.458)0.319 (0.192–0.531)
 1/20.663 (0.420–1.047)0.563 (0.346–0.915)
Primary tumor location0.319
 RCC/RECC1.379 (0.838–2.268)
 LCC/RECC0.891 (0.546–1.452)
Morphology0.292
 Infiltrative/expansive1.686 (0.663–4.289)
 Ulcerative/expansive0.830 (0.490–1.408)
 Tumor size (≤4/>4 cm)0.988 (0.649–1.504)0.955
Venous invasion0.0030.179
 Positive/negative2.810 (1.416–5.578)1.696 (0.785–3.665)
Perineural invasion<0.0010.072
 Positive/negative4.065 (1.946–8.491)2.176 (0.933–5.075)
Tumor deposit (present/absent)2.579 (1.296–5.133)0.0071.580 (0.767–3.258)0.215
Chemotherapy (yes/no)0.913 (0.574–1.454)0.702
F-NLR0.0010.035
 0/20.281 (0.143–0.551)0.399 (0.198–0.803)
 1/20.648 (0.428–0.980)0.813 (0.528–1.250)

Abbreviations: CRC, colorectal cancer; LCC, left colon cancer; NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; OS, overall survival; RCC, right colon cancer; RECC, rectal cancer.

Univariate and multivariate analyses for DFS

T stage (P=0.031), N stage (P<0.001), primary tumor location (P=0.042), morphology (P=0.002), venous invasion (HR=2.160; 95% CI=1.254–3.719; P=0.005), perineural invasion (HR=4.561; 95% CI=2.784–7.473; P<0.001), tumor deposits (HR=3.019; 95% CI=1.920–4.747; P<0.001), chemotherapy (HR=1.811; 95% CI=1.236–2.654; P=0.002), and F-NLR (P<0.001) were significantly associated with DFS in the univariate analysis. Multivariate analysis after controlling for these variables revealed that N stage (P<0.001), primary tumor location (P=0.013), perineural invasion (HR=2.557; 95% CI=1.424–4.590; P=0.002), tumor deposits (HR=2.194; 95% CI=1.331–3.619; P=0.002), and F-NLR (P=0.001) were independent prognostic factors for DFS (Table 3).
Table 3

Univariate and multivariate Cox analyses of DFS in CRC patients

VariablesUnivariate analysisMultivariate analysis
HR (95% CI)P-valueHR (95% CI)P-value
Gender (male/female)1.209 (0.909–1.607)0.192
Age (≤60/>60) (years)0.930 (0.710–1.219)0.599
Differentiation0.216
 Well/poor0.541 (0.286–1.023)
 Moderate/poor0.759 (0.542–1.063)
Histological subtype0.338
Adenocarcinoma/mucinous type0.839 (0.586–1.202)
T stage0.0310.778
 1–2/40.534 (0.327–0.873)0.878 (0.517–1.492)
 3/40.817 (0.597–1.118)1.067 (0.763–1.491)
N stage<0.001<0.001
 0/20.370 (0.266–0.514)0.453 (0.318–0.646)
 1/20.762 (0.550–1.056)0.674 (0.480–0.947)
Primary tumor location0.0420.013
 RCC/RECC1.153 (0.813–1.637)1.350 (0.927–1.965)
 LCC/RECC0.674 (0.470–0.967)0.686 (0.471–1.000)
Morphology0.0020.372
 Infiltrative/expansive3.118 (1.614–6.025)1.412 (0.689–2.896)
 Ulcerative/expansive1.196 (0.800–1.787)1.005 (0.657–1.535)
 Tumor size (≤4/>4 cm)0.920 (0.692–1.223)0.565
Venous invasion0.0050.511
 Positive/negative2.160 (1.254–3.719)1.225 (0.668–2.247)
Perineural invasion<0.0010.002
 Positive/negative4.561 (2.784–7.473)2.557 (1.424–4.590)
Tumor deposit (present/absent)3.019 (1.920–4.747)<0.0012.194 (1.331–3.619)0.002
Chemotherapy (yes/no)1.811 (1.236–2.654)0.0021.379 (0.921–2.064)0.119
F-NLR<0.0010.001
 0/20.417 (0.281–0.619)0.474 (0.317–0.708)
 1/20.659 (0.491–0.884)0.684 (0.505–0.926)

Abbreviations: CRC, colorectal cancer; DFS, disease-free survival; LCC, left colon cancer; NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; RCC, right colon cancer; RECC, rectal cancer.

F-NLR as a prognostic factor in patients with different histological types

The Kaplan–Meier survival curves revealed that the 5-year OS rates in the F-NLR 0, 1, and 2 groups differed significantly and were 78.4%, 52%, and 42.6%, respectively (P<0.001; Figure 2A), and the 5-year DFS rates were 54.9%, 43.9%, and 26.7%, respectively (P<0.001; Figure 2B).
Figure 2

Kaplan–Meier survival curves according to the F-NLR score for (A) OS and (B) DFS.

Abbreviations: DFS, disease-free survival; NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; OS, overall survival.

Further subgroup analyses were performed to investigate the prognostic value of F-NLR in CRC patients with different histological types. The results showed that F-NLR was a prognostic factor for OS (P=0.001; Figure 3A) and DFS (P<0.001; Figure 3B) in patients with colorectal adenocarcinoma, whereas no differences in OS (P=0.455; Figure 4A) and DFS (P=0.963; Figure 4B) were observed for patients with mucinous adenocarcinoma.
Figure 3

Kaplan–Meier survival curves in patients with adenocarcinoma according to the F-NLR score for (A) OS and (B) DFS.

Abbreviations: DFS, disease-free survival; NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; OS, overall survival.

Figure 4

Kaplan–Meier survival curves in patients with mucinous adenocarcinoma according to the F-NLR score for (A) OS and (B) DFS.

Abbreviations: DFS, disease-free survival; NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; OS, overall survival.

Univariate and multivariate analyses showed that the F-NLR score was an independent prognostic factor for both the OS (P=0.035) and DFS (P=0.001). In addition, a higher F-NLR score was significantly associated with worse prognosis (Tables 2 and 3).

F-NLR as a predictive factor for the responses to chemotherapy in CRC patients

We further divided the patients into a chemotherapy group and a nonchemotherapy group based on the treatment of chemotherapy. The Kaplan–Meier survival curves revealed that the DFS of the F-NLR 0 and 1 groups could be shortened significantly after the administration of chemotherapy (Figure 5B; P<0.001), whereas the F-NLR 2 group patients did not show an DFS harm from the administration of chemotherapy (Figure 5D). The Kaplan–Meier survival curves showed that chemotherapy had no effects on the OS in the F-NLR 0 and 1 groups (Figure 5A); however, patients with chemotherapy may show slightly better survival in the F-NLR 2 group, although the P-value is above 0.05 (Figure 5C).
Figure 5

Kaplan–Meier survival curves for patients who received chemotherapy or did not receive chemotherapy.

Notes: (A) OS in patients with the F-NLR scores of 0 and 1. (B) DFS in patients with the F-NLR scores of 0 and 1. (C) OS in patients with the F-NLR score of 2. (D) DFS in patients with the F-NLR score of 2.

Abbreviations: DFS, disease-free survival; NLR, neutrophil–lymphocyte ratio; F-NLR, combined fibrinogen and NLR; OS, overall survival.

Discussion

Cancer-related inflammation encompassed not only the tumor-derived but also the host-derived inflammatory cytokines, chemokines, proinflammatory mediators, and immune cells, which were correlated with the initiation, progression, and development of malignancies.28–31 Several inflammatory-based markers have been recognized to be associated with poor clinical outcomes and have the ability to predict the prognosis in various malignancies, including CRC. For example, NLR,32 PLR,33 GPS,34 and lymphocyte–monocyte ratio (LMR)35,36 were risk factors for poor clinical outcomes in patients with CRC. Neutrophils were demonstrated to promote tumor growth, invasion, and metastasis via the intrinsic pathway through secreting inflammatory mediators and the extrinsic pathway through altering the tumor microenvironment.37,38 Lymphocytes suppress the tumor proliferation and metastasis by inducing the cytotoxic cell death and producing inhibitive cytokines.39,40 Thus, lymphopenia may result in an insufficient immunological response to malignancies, thus facilitating tumor progression and leading to poor prognosis.41,42 Recent studies have emphasized that the elevated plasma fibrinogen plays an important role in malignant behaviors of various tumors43,44 through impeding the elimination of cancer cells mediated by cytotoxic cells or natural killer cells.45 Therefore, the F-NLR score, as an integrated index based on the plasma fibrinogen, peripheral neutrophil, and lymphocyte counts, reflects the alterations in the cancer microenvironment and the preoperative inflammatory responses of hosts to tumors. We hypothesized that F-NLR could favor cancer initiation, progression, and metastasis. The F-NLR score has been demonstrated to be a predictive marker for the prognosis in patients with advanced esophageal cancer,25 gastric cancer,26 and resectable non-small-cell lung cancer.24 However, there have been no researches regarding the prognostic and predictive value of F-NLR in patients with resectable CRC. Thus, in the present study, we for the first time evaluated the prognostic value of F-NLR in patients with resectable CRC. In the present study, interesting associations between the F-NLR score and clinicopathological characteristics were observed. F-NLR was associated with more advanced T stage, larger tumor size, more perineural invasion, and more mucinous adenocarcinoma, supporting the abovementioned hypothesis that the elevated F-NLR might favor tumor proliferation, invasion, and metastasis. Univariate and multivariate analyses revealed that both the F-NLR score and the N stage were independent risk factors in resectable CRC patients. In addition, subgroup analyses based on the histological type revealed that the elevated F-NLR score was correlated with poor OS and DFS in patients with colorectal adenocarcinoma. Furthermore, patients with the F-NLR score of 0 and 1 were harmed by chemotherapy, whereas patients with the elevated F-NLR score lost the DFS harm and might have slightly better OS from the administration of chemotherapy. As we all know, chemotherapy was a double-edged sword and not all patients with malignancies could benefit from chemotherapy. As chemotherapy did harm not only cancer cells but also normal cells and immune cells, patients with lower stage of F-NLR may be harmed by chemotherapy. To date, the TNM staging system is the gold standard for predicting the prognosis and the treatment selection for various types of cancers. However, as the TNM staging only reflects the pathological behaviors of resected tumors after surgery, preoperative survival prediction and decision making for further treatment seemed difficult. Our findings demonstrated that the preoperative F-NLR was a novel clinical biomarker for resectable CRC patients and had a powerful prognostic value. Thus, as a simple, convenient, cheap, easily acquired parameter in clinical practice, F-NLR may serve as a complementary to the TNM staging system to identify high-risk patients among patients with the same TNM stage. To the best of our knowledge, this was the first report investigating the prognostic value of F-NLR in patients with resectable CRC. However, there were a few limitations associated with the present study. First of all, as a retrospective study, selection bias may not be avoided and there may have some mistakes in the data collection. Second, as a single-institution study, the number of patients enrolled was relatively small and the follow-up duration was not that long. Third, only stage I–III CRC patients who received curative resection were enrolled, and thus the results are not applicable for patients with advanced unresectable CRCs. Thus, a larger-scale, prospective, multicenter investigation is required to further validate the findings of the present study.

Conclusion

This is the first study to demonstrate the prognostic value of the preoperative F-NLR score in patients with resectable CRC. Patients with an elevated preoperative F-NLR had higher risks of mortality, recurrence, or metastasis for adenocarcinomas, suggesting doctors to perform more careful surgeries and conduct more rigorous follow-up for these patients.
  45 in total

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Review 2.  Inflammation and colon cancer.

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Journal:  Clin Oncol (R Coll Radiol)       Date:  2011-03-11       Impact factor: 4.126

5.  Recent cancer survival in Europe: a 2000-02 period analysis of EUROCARE-4 data.

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Journal:  Lancet Oncol       Date:  2007-09       Impact factor: 41.316

6.  Spontaneous apoptosis of circulating T lymphocytes in patients with head and neck cancer and its clinical importance.

Authors:  Thomas K Hoffmann; Grzegorz Dworacki; Takashi Tsukihiro; Norbert Meidenbauer; William Gooding; Jonas T Johnson; Theresa L Whiteside
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Review 9.  Role of infiltrated leucocytes in tumour growth and spread.

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Journal:  Br J Cancer       Date:  2004-06-01       Impact factor: 7.640

10.  Evaluation of cumulative prognostic scores based on the systemic inflammatory response in patients with inoperable non-small-cell lung cancer.

Authors:  L M Forrest; D C McMillan; C S McArdle; W J Angerson; D J Dunlop
Journal:  Br J Cancer       Date:  2003-09-15       Impact factor: 7.640

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  11 in total

1.  The prognostic value of the advanced lung cancer inflammation index (ALI) for patients with neuroblastoma.

Authors:  Can Qi; Yun Zhou; Zhonghui Hu; Huizhong Niu; Fang Yue; Huibo An; Zhiguo Chen; Ping Wang; Le Wang; Guochen Duan
Journal:  J Int Med Res       Date:  2022-06       Impact factor: 1.573

2.  Comprehensive aptamer-based screen of 1317 proteins uncovers improved stool protein markers of colorectal cancer.

Authors:  Hao Li; Kamala Vanarsa; Ting Zhang; Sanam Soomro; Pietro Antonio Cicalese; Valeria Duran; Shobha Dasari; Kyung Hyun Lee; Claudia Pedroza; John B Kisiel; Huanlong Qin; Robert S Bresalier; Nicholas Chia; Chandra Mohan
Journal:  J Gastroenterol       Date:  2021-06-12       Impact factor: 7.527

3.  The Role of Cancer-Elicited Inflammatory Biomarkers in Predicting Early Recurrence Within Stage II-III Colorectal Cancer Patients After Curable Resection.

Authors:  Hou-Qun Ying; Yu-Cui Liao; Fan Sun; Hong-Xin Peng; Xue-Xin Cheng
Journal:  J Inflamm Res       Date:  2021-01-18

4.  The Prognostic Significance of Combined Pretreatment Fibrinogen and Neutrophil-Lymphocyte Ratio in Various Cancers: A Systematic Review and Meta-Analysis.

Authors:  Rongqiang Liu; Shiyang Zheng; Qing Yuan; Peiwen Zhu; Biao Li; Qi Lin; Wenqing Shi; Youlan Min; Qianmin Ge; Yi Shao
Journal:  Dis Markers       Date:  2020-12-09       Impact factor: 3.434

5.  The combination of fibrinogen concentrations and the platelet-to-lymphocyte ratio predicts survival in patients with advanced lung adenocarcinoma treated with EGFR-TKIs.

Authors:  Qiong He; Yamin Li; Xihong Zhou; Wen Zhou; Chunfang Xia; Ruzhe Zhang; Zhengjie Zhang; Aiyang Hu; Siyin Peng; Jing Li
Journal:  J Int Med Res       Date:  2021-04       Impact factor: 1.671

Review 6.  Role of Systemic Inflammatory Reaction in Female Genital Organ Malignancies - State of the Art.

Authors:  Michal Mleko; Kazimierz Pitynski; Elzbieta Pluta; Aleksandra Czerw; Katarzyna Sygit; Beata Karakiewicz; Tomasz Banas
Journal:  Cancer Manag Res       Date:  2021-07-09       Impact factor: 3.989

7.  Combining the Fibrinogen/Albumin Ratio and Systemic Inflammation Response Index Predicts Survival in Resectable Gastric Cancer.

Authors:  Junbin Zhang; Yongfeng Ding; Weibin Wang; Yimin Lu; Haiyong Wang; Haohao Wang; Lisong Teng
Journal:  Gastroenterol Res Pract       Date:  2020-02-25       Impact factor: 2.260

8.  Prognostic value of combined pretreatment fibrinogen and neutrophil-lymphocyte ratio in digestive system cancers: a meta-analysis of 17 retrospective studies.

Authors:  Rongqiang Liu; Tianxing Dai; Shiyang Zheng; Mingbin Deng; Guozhen Lin; Yuanda Bao; Zhihua Guo; Guoying Wang
Journal:  Transl Cancer Res       Date:  2021-01       Impact factor: 1.241

9.  Prediction of Peritoneal Cancer Index and Prognosis in Peritoneal Metastasis of Gastric Cancer Using NLR-PLR-DDI Score: A Retrospective Study.

Authors:  Zeyao Ye; Pengfei Yu; Yang Cao; Tengjiao Chai; Sha Huang; Xiangdong Cheng; Yian Du
Journal:  Cancer Manag Res       Date:  2022-01-12       Impact factor: 3.989

10.  Quantified CIN Score From Cell-free DNA as a Novel Noninvasive Predictor of Survival in Patients With Spinal Metastasis.

Authors:  Su Chen; Minglei Yang; Nanzhe Zhong; Dong Yu; Jiao Jian; Dongjie Jiang; Yasong Xiao; Wei Wei; Tianzhen Wang; Yan Lou; Zhenhua Zhou; Wei Xu; Wan Wan; Zhipeng Wu; Haifeng Wei; Tielong Liu; Jian Zhao; Xinghai Yang; Jianru Xiao
Journal:  Front Cell Dev Biol       Date:  2021-12-09
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