OL Oncology Letters 1792-1074 1792-1082 D.A. Spandidos 10.3892/ol.2020.12061 OL-0-0-12061 Articles Combination of preoperative fibrinogen concentration and neutrophil-to-lymphocyte ratio for prediction of the prognosis of patients with resectable breast cancer CaoXi ZhouYidong MaoFeng LinYan SunQiang Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China Correspondence to: Dr Qiang Sun, Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, 1 Shuaifuyuan, Dongcheng, Beijing 100730, P.R. China, E-mail: sunqiangpumc01@163.com 11 2020 04 09 2020 20 5 200 27022020 30072020 Copyright: © Cao et al. 2020 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Previous studies have demonstrated that the combination of high preoperative fibrinogen levels and high neutrophil-to-lymphocyte ratio (NLR) is associated with poor outcomes in various types of cancer. The present study assessed the prognostic value of a scoring system based on the combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio (F-NLR) in untreated patients with resectable breast cancer (BC). The present study retrospectively analyzed 906 patients who received surgery for resectable BC. Univariate and multivariate analyses were performed to explore the association between the F-NLR score and survival status. The cut-off values for fibrinogen and NLR determined via receiver operating characteristic curve analysis were 3.21 g/l and 2.20, respectively. On the basis of these cut-off values, the whole cohort was divided into three groups according to their F-NLR score: Score 2, fibrinogen ≥3.21 g/l and NLR ≥2.20; score 1, fibrinogen ≥3.21 g/l or NLR ≥2.20; and score 0, fibrinogen <3.21 g/l and NLR <2.20. The F-NLR score was significantly associated with age (≤50 years vs. >50 years; P<0.001), tumor size (≤2 cm vs. >2 cm; P=0.001), lymph node status (P=0.029), TNM stage (I vs. II vs. III; P=0.002) and lymphovascular invasion (P<0.001). The 5-year disease-free survival (DFS) rates in the patients with F-NLR scores of 0, 1 and 2 were 95.7, 87.5 and 74.0%, respectively (P<0.001), and the 5-year overall survival (OS) rates were 97.8, 90.9 and 79.9%, respectively (P<0.001). Furthermore, multivariate analysis demonstrated that the F-NLR score independently predicted DFS [hazard ratio (HR), 2.279; 95% CI, 1.758–2.954; P<0.001] and OS (HR, 2.414; 95% CI, 1.738–3.353; P<0.001). In conclusion, the preoperative F-NLR score was an independent prognostic indicator for untreated patients with resectable BC.

 breast neoplasms prognosis neutrophil-to-lymphocyte ratio fibrinogen F-NLR score Introduction

Breast cancer (BC) is a major cause of mortality in women worldwide, with an estimated 2,090,000 newly diagnosed cases and 626,679 deaths in 2018 (1). Epidemiological studies have demonstrated that the incidence and mortality rates of BC in China are increasing (2). Westernized lifestyles and changes in fertility patterns may be a cause of the increased incidence of BC (3–5), and the lack of early diagnosis and effective adjuvant therapies may contribute to higher mortality.

In the 19th century, Rudolf Virchow first proposed the hypothesis that inflammation is associated with cancer (6). Since then, numerous studies have explored the relationship between them. Inflammation is now recognized as a hallmark of cancer (7), which promotes the occurrence (8), development and metastasis of cancer (9,10). Various systemic inflammatory markers, including single markers, such as C-reactive protein (11), erythrocyte sedimentation rate (12), neutrophils (13), lymphocytes (10) and fibrinogen (14), and prognostic systems, such as the neutrophil-to-lymphocyte ratio (NLR) (15) and Glasgow prognostic score (16), have been demonstrated to be associated with the prognosis of different types of cancer. Studies have demonstrated that an elevated NLR is associated with poor outcomes in various types of cancer, including hepatocellular carcinoma (17), esophageal cancer (18) and BC (19). In addition, a meta-analysis of 18 studies demonstrated that high NLR is associated with shorter survival compared with low NLR in patients with BC (20).

In various malignant tumors, the coagulation system is activated and promotes tumor progression and metastasis (21,22). Fibrinogen, a 340-kDa glycoprotein synthesized by the liver, is considered to predict the prognosis of various malignancies (14,21). Elevated fibrinogen levels are associated with poor outcomes in gynaecological cancer (23), lung cancer (24) and BC (25).

Previous studies using a scoring system based on the combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio (F-NLR) have reported that a high F-NLR score is associated with poor outcomes in different types of cancer (26–29). However, to the best of our knowledge, the prognostic value of F-NLR in BC remains unknown. Therefore, the present study aimed to investigate the prognostic role of this biomarker combination in resectable BC.

 Materials and methods <sec> <title>Patients

The present study retrospectively analyzed patients with resectable BC who received curative surgery at Peking Union Medical College Hospital (Beijing, China) between July 2012 and May 2014. The Ethics Committee on Human Research at Peking Union Medical College Hospital approved the study. Due to the retrospective nature of the present study, the committee waived the requirement for individual patient consent. The inclusion criteria were as follows: i) Female patients aged 18–80 years; ii) confirmed pathology of stage I–III BC; and iii) received radical surgery and standard adjuvant therapy, such as chemotherapy, radiotherapy, endocrine therapy, herceptin therapy. The exclusion criteria were: i) Metastatic or inflammatory BC; ii) neoadjuvant therapy; iii) neutrophil count >10×109/l for patients of untreated status; and iv) blood coagulation disorders, autoimmune disease, hematological disease or infectious disease. Finally, 906 patients were included in the present study based on the inclusion and exclusion criteria.

 Clinicopathological parameters

The clinicopathological information and laboratory data for these patients were collected from their medical records. The TNM stage of BC was determined according to the AJCC Cancer Staging Manual (7th edition) (30). Hormone receptor status and human epidermal growth factor receptor 2 (HER2) status were assessed by immunohistochemistry according to recommendations in the American Society of Clinical Oncology/College of American Pathologists guidelines (31). When estrogen and/or progesterone receptors were determined to be positive using immunohistochemistry, the case was defined as hormone receptor-positive, whereas it was defined as negative when both hormone receptors were negative. HER2 positivity was defined as an immunohistochemistry result of 3+ or 2+ confirmed by further fluorescence in situ hybridization experiments. According to the hormone receptor and HER2 status, molecular subtypes of BC were categorized as follows: Luminal A-like (hormone receptor-positive, HER2-negative and Ki-67 ≤14%), luminal B-like (hormone receptor-positive, HER2-negative and Ki-67 >14%; or hormone receptor-positive and HER2-positive), HER2 (hormone receptor-negative and HER2-positive) or triple-negative (hormone receptor-negative and HER2-negative). Lymphovascular invasion was interpreted on hematoxylin and eosin staining slides of tumor specimens. When tumor cells existed in a definite endothelial-lined space, it was defined as lymphovascular invasion.

 Clinical treatment and follow-up

All patients received radical BC surgery. Breast management included lumpectomy or mastectomy, and axillary management included sentinel lymph node biopsy or axillary lymph node dissection. According to the National Comprehensive Cancer Network guidelines (32), patients received standard adjuvant therapy after surgery as appropriate. Follow-up was conducted every 6 months in the 2 years after surgery and annually thereafter. The last date of observation was July 31, 2019.

 F-NLR definition and evaluation

Routine blood sampling was performed 3 days before surgery to obtain the following indices: Neutrophil count, lymphocyte count and plasma fibrinogen level. The NLR was determined by dividing the neutrophil count by the lymphocyte count. The cut-off values of the NLR and preoperative fibrinogen concentration were determined using receiver operating characteristic curve (ROC) analysis. Based on the ROC analysis, the optimal cut-off values of NLR and fibrinogen for the prediction of disease-free survival (DFS) were 2.39 and 3.21 g/l, with areas under the curve (AUCs) of 0.778 (95% CI, 0.730–0.827) and 0.584 (95% CI, 0.522–0.646), respectively (Fig. 1A). The optimal cut-off values of NLR and fibrinogen for the prediction of overall survival (OS) were 2.20 and 3.21 g/l, with AUCs of 0.829 (95% CI, 0.792–0.866) and 0.582 (95% CI, 0.506–0.658), respectively (Fig. 1B). In terms of the highest Youden index, the optimal cut-off values of NLR and fibrinogen were 2.20 and 3.21 g/l, respectively. The sensitivity and specificity of NLR for the prediction of DFS were 83.8 and 61.7%, and for the prediction of OS were 95.4 and 60.8%, respectively. The sensitivity and specificity of fibrinogen for the prediction of DFS were 41.4 and 78.6%, whereas those for the prediction of OS were 41.5 and 77.8%, respectively. Based on the cut-off values for NLR and fibrinogen, the cohort was divided into three groups which were assigned different F-NLR scores as follows: Score 2, fibrinogen >3.21 g/l and NLR >2.20; score 1, fibrinogen >3.21 g/l or NLR >2.20; and score 0, fibrinogen ≤3.21 g/l and NLR ≤2.20.

 Statistical analysis

A two-tailed χ2 test was used to evaluate the associations between F-NLR and clinicopathological characteristics. DFS and OS were calculated using the Kaplan-Meier method, and differences in survival rates among the groups were compared by log-rank tests. Prognostic factors were analyzed using the Cox proportional hazards model. The hazard ratio was estimated with 95% CI. SPSS version 19.0 (IBM Corp.) was used for data analysis. P<0.05 (two-sided) was considered to indicate a statistically significant difference.

 Results <sec> <title>Clinicopathological characteristics of patients with BC

As shown in Table I, a total of 906 patients were enrolled in the present study. The mean age of the patients was 50±12 years (range, 22–80 years). There were 494 (54.5%) patients aged ≤50 years, and 491 (54.2%) patients with T1 stage tumors. There were 385 (42.5%) patients with lymph node positivity, including 163 (18.0%) patients with N2 and N3 stage tumors. According to the AJCC guidelines, 362 (40.0%) patients had stage II BC, whereas 168 (18.5%) patients had stage III BC. Most patients (700; 77.3%) had a positive hormone receptor status, and 249 (27.5%) patients were HER2 positive. Based on the F-NLR scoring system, the whole cohort was divided into three groups as follows: Score 0, 444 (49.0%) patients; score 1, 291 (32.1%) patients; and score 2, 171 (18.9%) patients. The median and mean follow-up times of survivors were 57 months (range, 5–83 months) and 53.9 months, respectively. The 5-year DFS and OS rates for the entire cohort were 89.0 and 92.2%, respectively.

 Association between F-NLR score and clinicopathological characteristics

As shown in Table II, age (P<0.001), tumor size (P=0.001), nodal positivity (P=0.029), TNM stage (P=0.002) and lymphovascular invasion (P<0.001) were significantly different among the three F-NLR score groups.

 Univariate and multivariate analyses for DFS

The univariate analysis demonstrated that tumor size (P<0.001), nodal positivity (P<0.001), TNM stage (P<0.001), hormone receptor status (P=0.015), HER2 status (P=0.005), Ki-67 index (P=0.039), lymphovascular invasion (P<0.001), histologic grade (P=0.018) and F-NLR score (P<0.001) were significantly associated with DFS (Table III). Multivariate analysis demonstrated that F-NLR score (P<0.001), as well as TNM stage (P=0.005) and lymphovascular invasion (P=0.001), could independently predict DFS (Table III).

 Univariate and multivariate analyses for OS

The univariate analysis revealed that tumor size (P<0.001), nodal positivity (P<0.001), TNM stage (P<0.001), hormone receptor status (P=0.013), HER2 status (P=0.001), Ki-67 index (P=0.007), lymphovascular invasion (P<0.001) and F-NLR score (P<0.001) were significantly associated with OS (Table IV). Multivariate analysis demonstrated that F-NLR score (P<0.001), as well as TNM stage (P=0.040) and lymphovascular invasion (P<0.001), could independently predict OS (Table IV).

 Survival analysis of F-NLR score groups

Kaplan-Meier analyses and log-rank tests were used to compare differences in survival among patients in the three F-NLR score groups. The overall 5-year DFS and OS rates were 89.0 and 92.2%, respectively. The 5-year DFS rate in the group with an F-NLR score of 2 was significantly lower than that in the groups with a score of 1 or 0 (74.0 vs. 87.5 or 95.7%, respectively; P<0.001; Fig. 2A). The 5-year OS rate in the group with an F-NLR score of 2 was significantly lower than that in the groups with a score of 1 or 0 (79.9 vs. 90.9 or 97.8%, respectively; P<0.001; Fig. 2B). Comparisons were also made in the 5-year DFS and OS rates between two groups based on only low/high NLR or low/high fibrinogen according to their cut-off values, and among the three groups based on F-NLR scores (Table SI). The results showed that the 5-year DFS rate in the group with an F-NLR score of 2 (74.0%) was lower than that in the NLR-high (78.7%) or fibrinogen-high groups (80.6%). The 5-year OS rate in the group with an F-NLR score of 2 (79.9%) was also lower than that in the NLR-high (83.1%) or fibrinogen-high groups (86.0%).

Further subgroup analysis revealed that the prognostic effect of the preoperative F-NLR score for patients with BC differed among TNM stages and molecular subtypes. When patients were stratified according to TNM stage, the F-NLR score retained a prognostic effect for the 5-year DFS in stages I (P=0.006; Fig. 3A), II (P<0.001; Fig. 3C) and III (P<0.001; Fig. 3E), as well as for the 5-year OS in stages I (P=0.011; Fig. 3B), II (P<0.001; Fig. 3D) and III (P=0.004; Fig. 3F). When the F-NLR score and TNM stage were stratified, the 5-year DFS ranged between 98.1% (F-NLR 0, TNM I; Table V) and 52.3% (F-NLR 2, TNM III; Table V), and the 5-year OS ranged between 100.0% (F-NLR 0, TNM I; Table V) and 65.4% (F-NLR 2, TNM III; Table V). When patients were stratified on the basis of the molecular subtype of BC, the prognostic effect of F-NLR was notable for DFS and OS in the luminal B-like subtype (both P<0.001; Fig. 4C and D) and the triple-negative subtype (DFS, P=0.029; OS, P=0.003; Fig. 4G and H). However, no differences in prognostic effect were observed in the luminal A-like (DFS, P=0.053; OS, P=0.089; Fig. 4A and B) and HER2 subtypes (DFS, P=0.076; OS, P=0.440; Fig. 4E and F).

 Discussion

Previous studies have demonstrated that elevated fibrinogen level, NLR and a high F-NLR score are associated with tumor development and shorter survival in esophageal squamous cell carcinoma (26,29), non-small cell lung cancer (NSCLC) (27,33) and gastric cancer (28,34). Based on these findings, the present study investigated the effect of F-NLR on the prognosis of 906 patients with resectable BC.

Inflammation is considered to be a hallmark of cancer (7). Cancer-associated inflammation can be both local and systemic. Local inflammation is mainly associated with the immune reaction in the tumor microenvironment, whereas systemic inflammation causes paraneoplastic symptoms through inflammatory mediators, such as cytokines in the systemic circulation (35). Solid tumors have the ability to raise immune cells and upregulate inflammatory cytokines, which then influence tumor angiogenesis, development and distant metastasis (8,36). The inflammatory mediator colony stimulating factor 1 has been demonstrated to accelerate tumor cell proliferation and promote tumor metastasis via the recruitment of macrophages to pre-malignant areas (37). The oncogenic Ras is considered to upregulate the expression of the pro-inflammatory cytokine interleukin (IL)-8, leading to increased tumor volume and angiogenesis in nude mouse models (38). Cancer-associated cytokines promote the recruitment of myeloid cells to tumors that secrete IL-6 to boost the transformation and tumorigenesis of BC cells (39). Myeloid-derived suppressor cells (MDSCs), which are generated by cancer-associated myelopoiesis, may persist in the circulation (40). The concentration of circulating MDSCs is higher in patients with malignant tumors than in healthy individuals and is associated with advanced disease and distant metastasis (41,42). The classic ‘Th-17-like’ inflammatory response to damaged epithelial junctions in tumor cells exacerbates tumor growth and progression (43). IL-22 and IL-32 are important agents in the ‘Th-17 like’ inflammatory response and have recently been demonstrated to be closely associated with tumor angiogenesis (44,45). Collectively, these findings reveal a complex relationship between cancer-associated inflammation, tumorigenesis and tumor progression, which are mutually causal and reinforcing. In the process of cancer-mediated myelopoiesis, the number of circulating granulocytes is increased, with neutrophils being most abundant (41). Furthermore, a study demonstrated that neutrophils may be used as an independent prognostic indicator for malignant tumors (46). Additionally, other studies have demonstrated the prognostic utility of NLR in various types of cancer (17–20).

A hypercoagulable state is much more likely to occur in patients with cancer compared with healthy individuals and has been associated with malignancy (47). Fibrinogen is frequently deposited in the stroma of solid tumors (48). The expression of fibrinogen can be upregulated by the inflammatory cytokine IL-6 (49). The fibrinogen synthesized and secreted by BC epithelial cells has been demonstrated to mediate cell proliferation and form an extracellular matrix that binds to tumor cell surfaces (50–52). This process forms a solid framework around the cancer cells, which may increase their adhesion, invasion and metastasis. Previous studies (14,22) have reported that fibrinogen promotes spontaneous metastasis, possibly by limiting the elimination of new micrometastases by natural killer cells. Furthermore, hyperfibrinogenemia has been demonstrated to be associated with poor outcomes in various types of cancer (23–25).

The present study revealed a strong association between high F-NLR score and larger tumor size, nodal positivity, late TNM stage and lymphovascular invasion for resectable BC. These findings are consistent with the results of previous studies on gastric cancer (28) and NSCLC (27,33). Notably, the F-NLR score was identified as an independent predictor for DFS and OS in the present study, which is consistent with previous studies on various types of cancer (26–29,33–34). This suggests that the F-NLR score could be used to classify the survival risks of patients. Although the ROC curves indicate that NLR has a much higher predictive efficiency than fibrinogen for DFS and OS in patients with resectable BC, the effect of fibrinogen on prognosis merits consideration, despite its relatively low prediction efficiency. On the basis of survival analyses, the present study found that the combination of NLR and fibrinogen classified the whole cohort more distinctly and helped to screen out the subgroup with the worst prognosis, which comprised those patients in which NLR and fibrinogen were both high (F-NLR score 2). Greater attention should be focused on those patients, to ensure that adequate adjuvant therapy and close follow-up are applied. In the subgroup analysis of TNM stage in the present study, the F-NLR score continued to exhibit an important prognostic effect, which is similar to previous findings in gastric cancer (28). The prognosis of patients in each F-NLR group differed significantly according to disease stage. Furthermore, in the molecular subgroup analysis, the predictive significance of F-NLR was highest for the luminal B-like and triple-negative BC subtypes.

The present study demonstrated that the F-NLR score is a powerful prognostic index for patients with resectable BC. However, the results should be considered in the context of several limitations. First, the present study was a retrospective study conducted at a single center and the statistical capacity was limited by the small sample size. Second, the follow-up was of short duration. Third, hematological indicators fluctuate under the influence of the internal environment, which means the results of a single blood test may not adequately reflect the condition of an individual.

In conclusion, the preoperative F-NLR score was a strong and independent unfavorable index of survival in patients with resectable BC, which may be of great significance for the identification of high-risk patients and provision of accurate treatment. Furthermore, as a marker, the F-NLR score is simple and inexpensive to analyze, suggesting that it is potentially applicable to clinical practice. However, further research should be conducted to confirm this.

 Supplementary Material Supporting Data Acknowledgements

Not applicable.

 Funding

This study was supported by Fundamental Research Funds for the Central Universities (grant no. 3332020001).

 Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

 Authors' contributions

XC designed the present study, carried out the experiments, collected and analyzed the data, and wrote the manuscript. YZ, FM and YL assisted with data collection and analysis, and also modified and revised the manuscript. QS conceived the present study and was involved in drafting the manuscript, coordinating the whole research process, and revising and finalizing the manuscript. All authors read and approved the final manuscript.

 Ethics approval and consent to participate

The present study was approved by Ethical Committee/Institutional Review Board of Peking Union Medical College Hospital. Due to the retrospective nature of the present study, formal consent was not required.

 Patient consent for publication

Not applicable.

 Competing interests

The authors declare that they have no competing interests.

 Abbreviations BC

breast cancer

 NLR

neutrophil-to-lymphocyte ratio

 F-NLR

combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio

 AJCC

American Joint Committee on Cancer

 HER2

human epidermal growth factor receptor 2

 ROC

receiver operating characteristic

 DFS

disease-free survival

 OS

overall survival

 AUC

area under the curve

 HR

hazard ratio

 NSCLC

non-small cell lung cancer

 IL

interleukin

 MDSCs

myeloid-derived suppressor cells

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(A) ROC curves of NLR and plasma fibrinogen levels for the prediction of the disease-free survival of patients with resectable breast cancer. NLR: AUC, 0.778; 95% CI, 0.730–0.827; P<0.001. Fibrinogen: AUC, 0.584; 95% CI, 0.522–0.646; P=0.007. (B) ROC curves of NLR and plasma fibrinogen levels for the prediction of the overall survival of patients with resectable breast cancer. NLR: AUC, 0.829; 95% CI, 0.792–0.866; P<0.001. Fibrinogen: AUC, 0.582; 95% CI, 0.506–0.658; P=0.027. AUC, area under the curve; Fbg, fibrinogen; NLR, neutrophil-to-lymphocyte ratio; ROC, receiver operating characteristic.

Survival curves of patients with resectable breast cancer based on an F-NLR score of 0, 1 or 2. (A) Disease-free survival and (B) overall survival curves (log-rank test). F-NLR, combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio.

Survival curves of patients with resectable BC (stages I–III) based on an F-NLR score or 0, 1 or 2. (A) DFS and (B) OS curves of patients with stage I BC. (C) DFS and (D) OS curves of patients with stage II BC. (E) DFS and (F) OS curves of patients with stage III BC (all log-rank test). BC, breast cancer; DFS, disease-free survival; F-NLR, combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio; OS, overall survival.

Survival curves of patients with resectable BC with different molecular subtypes and F-NLR scores of 0, 1 and 2. (A) DFS and (B) OS curves of patients with luminal A-like subtype BC. (C) DFS and (D) OS curves of patients with luminal B-like subtype BC. (E) DFS and (F) OS curves of patients with HER2 subtype BC. (G) DFS and (H) OS curves of patients with triple-negative subtype BC (all log-rank test). BC, breast cancer; DFS, disease-free survival; F-NLR, combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio; HER2, human epidermal growth factor receptor 2; OS, overall survival.

Clinical baseline characteristics of the patients with resectable breast cancer.

Characteristic Value
Age, years (mean ± SD) 50±12
Age, n (%)
  >50 years 412 (45.5)
  ≤50 years 494 (54.5)
Tumor stage, n (%)
  T1 491 (54.2)
  T2 344 (38.0)
  T3 56 (6.2)
  T4 15 (1.6)
N stage, n (%)
  N0 521 (57.5)
  N1 222 (24.5)
  N2 89 (9.8)
  N3 74 (8.2)
TNM stage, n (%)
  I 376 (41.5)
  II 362 (40.0)
  III 168 (18.5)
Hormone receptor, n (%)
  Positive 700 (77.3)
  Negative 206 (22.7)
Estrogen receptor, n (%)
  Positive 692 (76.4)
  Negative 214 (23.6)
Progesterone receptor, n (%)
  Positive 622 (68.7)
  Negative 284 (31.3)
HER2, n (%)
  Positive 249 (27.5)
  Negative 657 (72.5)
Histologic grade, n (%)
  1 129 (14.2)
  2 540 (59.6)
  3 237 (26.2)
Ki-67, n (%)
  >14% 528 (58.3)
  ≤14% 378 (41.7)
Lymphovascular invasion, n (%)
  Positive 184 (20.3)
  Negative 722 (79.7)
F-NLR score, n (%)
  0 444 (49.0)
  1 291 (32.1)
  2 171 (18.9)

HER2, human epidermal growth factor receptor 2; F-NLR, combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio.

Association between F-NLR scores and clinicopathological factors in patients with resectable breast cancer.

F-NLR score, n
Variables All, n 0 1 2 P-value
Age, years <0.001
  >50 412 180 131 101
  ≤50 494 264 160 70
Tumor size, cm 0.001
  >2 415 180 137 98
  ≤2 491 264 154 73
Nodal positivity 0.029
  Negative 521 267 171 83
  Positive 385 177 120 88
TNM stage 0.002
  I 376 209 114 53
  II 362 169 119 74
  III 168 66 58 44
Hormone receptor 0.270
  Positive 700 353 217 130
  Negative 206 91 74 41
HER2 0.760
  Positive 249 123 76 50
  Negative 657 321 215 121
Ki-67, % 0.226
  >14 528 246 177 105
  ≤14 378 198 114 66
Lymphovascular invasion <0.001
  Positive 184 64 67 53
  Negative 722 380 224 118
Histologic grade 0.070
  1 129 68 32 29
  2 540 271 167 102
  3 237 105 92 40
Molecular subtype 0.640
  Luminal A-like 291 152 90 49
  Luminal B-like 409 201 127 81
  HER2 96 45 33 18
  Triple-negative 110 46 41 23

F-NLR, combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio; HER2, human epidermal growth factor receptor 2.

Univariate and multivariate analysis of clinical characteristics in relation to disease-free survival.

Univariate analysis Multivariate analysis
Variable Patients, n HR 95% CI P-value HR 95% CI P-value
Age, years (≤50/>50) 494/412 0.886 0.595–1.320 0.552
Tumor size, cm (≤2/>2) 491/415 2.602 1.707–3.965 <0.001 1.104 0.686–1.776 0.684
Nodal positivity (negative/positive) 521/385 3.371 2.195–5.175 <0.001 1.284 0.686–2.404 0.434
TNM stage (I/II/III) 376/362/168 2.669 2.032–3.506 <0.001 1.889 1.213–2.943 0.005
Hormone receptor (positive/negative) 700/206 1.683 1.105–2.565 0.015 1.251 0.797–1.963 0.331
HER2 (negative/positive) 657/249 1.786 1.194–2.673 0.005 1.395 0.921–2.112 0.116
Ki-67, % (≤14/>14) 378/528 1.560 1.024–2.377 0.039 1.082 0.694–1.687 0.726
Lymphovascular invasion (negative/positive) 722/184 3.201 2.148–4.769 <0.001 2.034 1.350–3.065 0.001
Histologic grade (1/2/3) 129/540/237 1.473 1.068–2.030 0.018 1.193 0.839–1.696 0.325
F-NLR score (0/1/2) 444/291/171 2.584 2.004–3.332 <0.001 2.279 1.758–2.954 <0.001

HR, hazard ratio; HER2, human epidermal growth factor receptor 2; F-NLR, combination of fibrinogen concentration and neutrophil-to- lymphocyte ratio.

Univariate and multivariate analysis of clinical characteristics in relation to overall survival.

Univariate analysis Multivariate analysis
Variable Patients, n HR 95% CI P-value HR 95% CI P-value
Age, years (≤50/>50) 494/412 0.660 0.397–1.098 0.110
Tumor size, cm (≤2/>2) 491/415 2.957 1.732–5.046 <0.001 1.213 0.680–2.163 0.513
Nodal positivity (negative/positive) 521/385 4.801 2.696–8.549 <0.001 1.720 0.771–3.838 0.185
TNM stage (I/II/III) 376/362/1688 3.181 2.242–4.514 <0.001 1.748 1.025–2.983 0.040
Hormone receptor (positive/negative) 700/206 1.902 1.144–3.162 0.013 1.439 0.857–2.417 0.168
HER2 (negative/positive) 657/249 2.226 1.365–3.631 0.001 1.576 0.959–2.589 0.073
Ki-67, % (≤14/>14) 378/528 2.145 1.233–3.730 0.007 1.604 0.916–2.809 0.098
Lymphovascular invasion (negative/positive) 722/184 5.634 3.448–9.206 <0.001 3.406 2.058–5.637 <0.001
Histologic grade (1/2/3) 129/540/237 1.461 0.983–2.172 0.060
F-NLR score (0/1/2) 444/291/171 2.916 2.109–4.032 <0.001 2.414 1.738–3.353 <0.001

HR, hazard ratio; HER2, human epidermal growth factor receptor 2; F-NLR, combination of fibrinogen concentration and neutrophil-to- lymphocyte ratio.

Association between F-NLR score and 5-year DFS or OS in patients with resectable breast cancer of stages I, II and III.

5-year DFS rate (%) 5-year OS rate (%)
F-NLR I II III All I II III All
0 98.1 95.3 89.4 95.7 100 97.6 91.3 97.8
1 95.6 86.4 74.1 87.5 97.4 90.6 79.0 90.9
2 88.4 76.7 52.3 74.0 92.2 79.2 65.4 79.9
P-value 0.006 <0.001 <0.001 <0.001 0.011 <0.001 0.004 <0.001

F-NLR, combination of fibrinogen concentration and neutrophil-to-lymphocyte ratio; DFS, disease-free survival; OS, overall survival.