Fibrinogen Is A Coagulation Marker Associated With The Prognosis Of Endometrial Cancer.

PURPOSE: The present study aimed to identify coagulation markers with prognostic value in the setting of surgically treated endometrial cancer. PATIENTS AND METHODS: A total of 942 patients with endometrial cancer who underwent surgery were included in the study. The preoperative prothrombin time (PT), activated partial thromboplastin time (aPTT), thrombin time (TT), prothrombin time activity (PTA), fibrinogen and D-dimer values were analyzed to determine their potential associations with clinicopathological characteristics. Survival analysis was performed using the Kaplan-Meier method, p-values were calculated using the log-rank text, and the prognostic factors were evaluated using Cox's proportional hazards regression model.
RESULTS: The preoperative plasma fibrinogen and D-dimer concentrations were significantly different among patients with different ages, pre/post-menopausal status, International Federation of Obstetrics and Gynecology Association (FIGO) stage, tumor grade, depth of myometrial invasion, histological type and lymphatic vessel space invasion. Fibrinogen level was also asscoiated with body mass index (BMI) and comorbidities, and D-dimer level was asscoiated with preoperative radiotherapy and chemotherapy. APTT was different in patients in pre/post-menopausal status and with or without comorbidities. PTA was asscoiated with BMI and lymphovascular invasion. TT was different between different age groups, different menopause status groups, as well as different FIGO stage groups. A multivariate analysis identified high fibrinogen levels (>3.25 g/L) as an independent prognostic factor for overall survival (HR=1.807; 95% CI=1.003-3.253; p=0.049).
CONCLUSION: High pretreatment fibrinogen levels are associated with poor overall survival and represent a valuable independent prognostic factor in patients with endometrial cancer. PT, aPTT, TT, PTA and D-dimer levels cannot be used as independent prognostic factors for endometrial cancer.

Introduction

Endometrial cancer (EC) is one of the most common malignant tumors in the female reproductive system and accounts for 20% to 30% of female reproductive tract tumors; moreover, the global incidence of EC is increasing year to year. EC is the most common gynecologic malignancy in Europe and the United States and is the second most common gynecological malignancy in China.1,2 Assessing the progression and prognosis of EC primarily relies on invasive surgery and pathology,3 and effective biomarkers that can assess disease status are still needed.

Some studies have found that patients with malignant tumors may have abnormal hemostasis. One study has shown that patients with glioblastoma had plasma hypercoagulability.4 Zhang et al5 believed that hemostasis parameters can be used to predict the prognosis of patients with advanced pancreatic cancer. The coagulation cascade activation mechanism often occurs in patients with malignant tumors. Vascular endothelial growth factor (VEGF-A), which is secreted by tumor cells, indirectly promotes coagulation and changes the coagulation properties of endothelial cells.6,7 The leakage of plasma proteins from the tumor vascular endothelium induces inflammatory responses and exogenous coagulation pathways,8,9 and tumor cells release procoagulant tissue factor and tumor necrosis factor.10

Although many studies have found a link between hemostasis markers and malignant tumors, the relationship between hemostatic markers and EC survival outcomes is unclear. To assess the relationship between preoperative hemostatic markers and clinicopathological parameters in patients with EC and identify hemostatic markers that affect the survival of patients with postoperative EC, we performed a retrospective study at Shengjing Hospital of China Medical University.

Materials And Methods

Ethical Statement

The retrospective study was approved by the Institutional Review Board of the Ethics Committee of Shengjing Hospital of China Medical University (No. 2017PS292K) and was carried on in accordance with the principles of the Declaration of Helsinki. All patients have provided written informed consents in the study.

Patients

A total of 1165 patients were diagnosed with EC at Shengjing Hospital of China Medical University between January 2012 and March 2017. All patients included in the study met the following criteria: age >18 years old; underwent hysterectomy at Shengjing Hospital; postoperative pathological diagnosis of EC; no history of other malignant tumors; no active infection; no blood disease or other serious comorbidities; no thromboembolic events; and all needed variables in this study are complete. A total of 223 patients were excluded due to not meeting the inclusion criteria, and 942 patients were included in the present study.

Methods

We collected the following information from electronic medical records from the hospital information system of Shengjing Hospital: patient’s age at diagnosis, preoperative body mass index (BMI), pre/post-menopausal status, International Federation of Obstetrics and Gynecology Association (FIGO) stage, tumor grade, histology type, tumor myometrial invasion depth, lymphatic vascular invasion, whether radiotherapy and chemotherapy occurred before surgery and whether comorbidities occurred, such as diabetes, hypertension and hyperlipidemia.

The above data were collected by experienced gynecologists and pathologists. The WHO classification was used to classify the tumors, and all tumors were clinically staged according to FIGO guidelines (2009). Pathologists divide tumors into well (G1), moderately (G2) or poorly (G3) differentiated, and the histology was distinguished as type I (mainly endometrioid) or type II (non-endometrioid).

Peripheral blood was drawn from the patient within 15 days before surgery and examined for the following coagulation markers: prothrombin time (PT), activated partial thromboplastin time (aPTT), thrombin time (TT), prothrombin time activity (PTA), fibrinogen and D-dimer. Blood samples were collected in a vacuum blood collection tube and mixed with a 0.109 mmol/L sodium citrate anticoagulant (in a 9:1 ratio). The specimen was centrifuged with automatic balance centrifuge (Type DT5-3, low-speed automatic balance centrifuge, Beijing Times Beili Centrifuge Co., Ltd.) at 1500 g for 15 min at 20–25°C to obtain platelet-poor plasma, which was immediately evaluated by a CA-1500 automatic coagulometer (Sysmex America, Inc). PT, aPTT and TT were evaluated using the Thrombor S® (Dade Behring GmbH, Germany), Dade Actin FS® (Dade Behring GmbH, Germany) and Test-Thrombin Reagent® (Dade Behring GmbH, Germany) commercial kits, respectively. Fibrinogen and D-dimer were detected using a commercial Iatron kit (Mitsubishi Kagaku Iatron, Inc., Tokyo, Japan).

The patients were followed up after surgery by telephone. The last follow-up date was June 30, 2018. The primary point of the analysis was overall survival (OS), which was defined as the time between surgery and death from any cause or the date of the last follow-up for patients who were still alive. The date of death was acquired by follow-up or from the death certificate.

Statistical Analysis

All statistical calculations were performed using SPSS software (version 19.0; IBM SPSS, Inc., Chicago, IL, USA). Categorical variables were expressed as numbers and percentages, while continuous variables were represented by the median with an interquartile range (IQR). The Mann–Whitney U-test was used to assess the significance of between-group differences. The coagulation marker cut-off values were determined by the receiver operating characteristic (ROC) curve and were set as the values that had the highest sensitivity and specificity. The Kaplan-Meier method was applied to construct survival curves, and the log-rank text was used to compare different groups. Cox proportional hazards regression was used to perform univariate and multivariate analyses to identify prognostic factors and estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). A P value of less than 0.05 is considered to be statistically significant.

Results

Patient Characteristics

Figure 1 shows the flow chart of the patient inclusion and exclusion process in this study, a total of 942 patients were included in the final analysis. The median age of the patients was 56 years (IQR: 51 to 62), the median preoperative BMI of the patients was 25.12 kg/m2 (IQR: 23.19 to 27.74) and the median follow-up time was 43 months (IQR: 28 to 56 months). The clinicopathological characteristics of the patients are summarized in Table 1.

Figure 1

Flow chart of the patient inclusion and exclusion process.

Table 1

Patient Characteristics

Characteristics	No. Of Patients (%)	Survival/Death
Age at diagnosis, yr
<60	620 (65.82%)	590/30
≥60	322 (34.18%)	298/24
BMI, kg/m2
<24	323 (34.29%)	308/15
≥24	619 (65.71%)	578/39
Menopause
No	271 (28.77%)	263/8
Yes	671 (71.23%)	625/46
FIGO stage
Ⅰ	758 (80.47%)	729/29
Ⅱ/Ⅲ/Ⅳ	184 (19.53%)	159/25
Grade
G1	427 (45.33%)	415/12
G2/G3	515 (54.67%)	473/42
Myometrial invasion
<1/2	724 (76.86%)	695/29
≥1/2	218 (23.14%)	193/25
Histological type
Type Ⅰ	907 (96.28%)	862/45
Type Ⅱ	35 (3.72%)	26/9
Lymphovascular invasion
Negative	910 (96.60%)	860/50
Positive	32 (3.40%)	28/4
Comorbidities
No	515 (54.67%)	492/23
Yes	427 (45.33%)	396/31
Radiotherapy or chemotherapy
No	931 (98.83%)	878/53
Yes	11 (1.17%)	10/1

Abbreviation: FIGO, International Federation of Gynecology and Obstetrics.

Relationships Between Clinical Characteristics And Hemostatic Markers

Of the examined coagulation markers, fibrinogen and D-dimer levels were significant different in groups with pre/post-menopausal status, different ages, FIGO stage, grade, depth of myometrial invasion, histological type and lymphovascular invasion, fibrinogen level was also different in patients who were and were not overweight and presented comorbidities, and the D-dimer level was different in patients received radiotherapy and chemotherapy or not before surgeries (p-values are shown in Table 2). The aPTT value was different in patients in pre/post-menopausal status and with or without comorbidities (p=0.006 and p=0.035, respectively). Significant differences in the PTA levels were observed between patients with higher BMI and normal BMI, and with lymphovascular invasion and those with no lymphovascular invasion (p=0.001, p=0.042, respectively). The TT levels were different among the different age groups, different menopause status groups, as well as different FIGO stage groups (p<0.001, p<0.001 and p<0.001, respectively). However, across all clinicopathological parameters, there were no significant differences detected in PT.

Table 2

Relationships Between The Clinicopathological Characteristics And Hemostatic Markers

Characteristics	P value
Fibrinogen	D-dimer	aPTT	PT	PTA	TT
Age at diagnosis, yr
<60	<0.001	<0.001	0.451	0.927	0.508	<0.001
≥60
BMI, kg/m2
<24	0.001	0.454	0.101	0.688	0.001	0.142
≥24
Menopause
No	0.002	0.015	0.006	0.756	0.239	<0.001
Yes
FIGO stage
Ⅰ	0.009	<0.001	0.262	0.37	0.05	<0.001
Ⅱ/Ⅲ/Ⅳ
Grade
G1	0.003	<0.001	0.589	0.633	0.703	0.061
G2/G3
Myometrial invasion
<1/2	0.001	<0.001	0.292	0.468	0.184	0.441
≥1/2
Histological type
Type Ⅰ	0.001	<0.001	0.051	0.218	0.225	0.419
Type Ⅱ
Lymphovascular invasion
Negative	0.003	0.001	0.617	0.744	0.042	0.104
Positive
Comorbidities
No	0.037	0.247	0.035	0.809	0.379	0.477
Yes
Radiotherapy or chemotherapy
No	0.351	0.001	0.819	0.211	0.305	0.384
Yes

Abbreviations: FIGO, International Federation of Gynecology and Obstetrics; aPTT, activated partial thromboplastin time; PT, prothrombin time; PTA, prothrombin activity; TT, thrombin time.

Univariate And Multivariate Analyses Of The OS Factors In Patients With EC

To clarify the association of each factor with OS, a univariate analysis was performed with age, BMI, menopause, FIGO stage, grade, myometrial invasion, histology, lymphovascular invasion, comorbidities, radiotherapy or chemotherapy, fibrinogen level, D-dimer level, aPTT, PT, PTA and TT. The patients were divided into two groups by their clinicopathological characteristics, as shown in Table 1, using cut-off values for the hemostatic markers. According to the univariate analysis, patients with a high preoperative fibrinogen (>3.25 g/L) level, high D‑dimer (>111.5 μg/L) level, low PTA (≤106.5%) and low TT (≤14.85 s) showed significantly lower survival than those with a low fibrinogen level, low D‑dimer level, high PTA and high TT (p<0.001, p<0.001, p=0.017, and p<0.001, respectively). The patient survival curves were constructed according to the high and low levels of fibrinogen, D-dimer, PTA, TT by the Kaplan-Meier method and compared using a log rank test (Figure 2). Patients with post-menopausal status, FIGO stages II–IV, poor differentiation, deep myometrial invasion and non-endometrioid cancer had a poor prognosis (p=0.023, p<0.001, p=0.001, p<0.001, and p<0.001, respectively). The HRs, 95% CIs and p-values are shown in Figure 3.

Figure 2

Kaplan-Meier survival estimates for patients with EC.

Notes: (A): Fibrinogen levels and overall survival; (B): D-dimer levels and overall survival; (C): PTA levels and overall survival; (D): TT levels and overall survival.

Figure 3

Univariate analysis of the OS factors.

Notes: Obtained HRs and 95% CIs were compared with fibrinogen≤3.25 g/L, D-dimer≤111.5 g/L, aPTT≤28.1 sec, PT≤11.6 sec, PTA≤106.5%, TT≤14.58 sec, age<60 yr, BMI<24 kg/m2, pre-menopausal status, FIGO stage I, grade G1, myometrial invasion<1/2, histological type I, negative lymphovascular invasion, no comorbidities and no preoperative radiotherapy and chemotherapy, respectively.

Abbreviations: HR, hazard ratio; CI, confidence interval; aPTT, activated partial thromboplastin time; PT, prothrombin time; PTA, prothrombin activity; TT, thrombin time; FIGO, International Federation of Gynecology and Obstetrics.

Based on the univariate analysis results for OS factors, the fibrinogen level, D-dimer level, PTA, TT, menopause, FIGO stage, grade, myometrial invasion and histological type were entered into the Cox proportional hazards regression as covariates. The multivariate analysis showed that the high plasma fibrinogen level (>3.25 g/L) (HR=1.807; 95% CI=1.003–3.253; p=0.049), post-menopausal status (HR=2.197; 95% CI=1.012–4.691; p=0.047) and histological type (typeⅡ) (HR=2.516; 95% CI=1.175–5.387; p=0.018) were independent risk factors for OS. The p-values, HRs and 95% CIs are shown in Figure 4.

Figure 4

Multivariate analysis of the OS factors.

Notes: Obtained HRs and 95% CIs were compared with fibrinogen≤3.25 g/L, D-dimer≤111.5 g/L, PTA≤106.5%, TT≤14.58 sec, pre-menopausal status, FIGO stage I, grade G1, myometrial invasion<1/2, and histological type I, respectively.

Abbreviations: HR, hazard ratio; CI, confidence interval; PTA, prothrombin activity; TT, thrombin time; FIGO, International Federation of Gynecology and Obstetrics.

Discussion

In previous studies, patients with malignant tumors often had coagulation dysfunction, which manifested as a hypercoagulable state in patients.11,12 Tumor cells and tumor-associated inflammatory cells may activate the coagulation cascade,13,14 and there are interactions between hemostatic factors and tumor biology.15 In this study, we first estimated the prognostic value of six coagulation markers in patients with EC and found that the preoperative plasma fibrinogen level is an independent prognostic factor for EC.

Although most patients were diagnosed early due to obvious clinical manifestations, such as abnormal vaginal bleeding or drainage in the early stage of EC, some patients still had a poor prognosis. The clinicopathological characteristics of EC, including patient age, clinical stage, tumor grade, histological type, lymphatic vessel space invasion, etc., have been fully studied previously, and these characteristics can be considered independent risk factors for EC.16 However, these clinicopathological characteristics are obtained by invasive methods. Research efforts are focused on predicting the prognosis of EC using blood biomarkers, and coagulation markers appear to be a series of valuable indicators.

In this study, we explored the significance of between-group differences in coagulation markers and found that the fibrinogen level was obviously different among groups with different ages, BMI, menopause, FIGO stage, grade, myometrial invasion depth, histological type, lymphovascular invasion and comorbidities. The patients were divided into two groups according to the values calculated by the ROC curves. The Kaplan-Meier method was used to compare the survival of the two groups. A high fibrinogen concentration (>3.25 g/L), high D-dimer concentration (>111.5 μg/L), low PTA level (≤106.5%) and low TT level (≤14.85 s) were found to be poor prognostic factors for EC in the univariate analysis. However, the multivariate analysis of all prognostic factors revealed that of the six coagulation markers, only the preoperative plasma fibrinogen concentration (PFC) (HR=1.807; 95% CI=1.003–3.253; p=0.049) was an independent prognostic factor for EC. Additionally, the univariate analysis showed that the menopause, FIGO stage, tumor grade, pathological type and depth of myometrial invasion were also significant prognostic factors.

Fibrinogen, also called clotting factor I, is a glycoprotein synthesized by hepatocytes that is an important substance in the process of blood coagulation and thrombosis. Several studies have suggested that elevated fibrinogen levels are associated with tumor cell growth, proliferation, migration, and apoptosis in patients with malignant tumors.17,18 Palumbo et al19 reported that fibrinogen facilitates the formation of tumor stroma and the adhesion of circulating cancer cells to the vasculature, thereby increasing the risk of cancer metastasis. Fibrinogen binds to cell growth factors like VEGF-A, promotes angiogenesis in cancer tissues, and causes cancer growth and metastasis.20 Fibrinogen also enhances the chemotactic properties of stromal cells, including endothelial cells, and promotes tumor cell migration.21

Fibrinogen levels are associated with the prognosis of patients with a variety of cancers. A multivariate analysis found that the preoperative fibrinogen to albumin ratio (FAR) is a significant independent prognostic factor for breast cancer (HR=2.622; 95% CI=1.455–4.724; p=0.001). Compared with the low FAR group, the patients with high FAR had worse prognosis. The effect of FAR predicting the prognosis of patients with stage II/III subgroup and luminal A-like subtypes was more prominent.22 Zhu et al23 conducted a multivariate Cox proportional hazard regression model analysis and concluded that a fibrinogen level ≥3.295 g/L was an independent prognostic factor for early postoperative death after bladder cancer-assisted radical cystectomy and it may be considered that plasma fibrinogen is a biomarker to help guide the treatment of patients with bladder cancer. In a study of gastric cancer, patients with tumor-node-metastasis (TNM) stages I–II had lower OS rates and cancer-specific survival rates, and the plasma fibrinogen level was suggested to be an independent prognostic parameter for survival for stage I and T1-4aN0 gastric cancer. The combination of the preoperative plasma fibrinogen level and American Joint Committee on Cancer (AJCC) stage can more accurately predict the survival of patients with stages I–II gastric cancer after therapeutic surgery than either factor alone.24 Using immunohistochemistry and RT-PCR, Uccella et al25 found that EC cells can express fibrinogen. Zhou et al26 considered that a Plasma fibrinogen concentration ≥2.58 mg/dL can predict positive lymphovascular space invasion (LVSI) in EC; Seebacher et al27 reported that PFC≥388.9 mg/dL retained significance as a poor prognosticator of disease-free survival (DFS) and OS. They also found that a higher plasma fibrinogen level was associated with an advanced FIGO stage, non-endometrioid histology and higher patients’ age. In another multicenter study of EC, plasma fibrinogen level was associated with higher patient age, higher BMI, obesity, deep myometrial invasion and upstaging, and PFC could be considered an independent determinant of extrauterine disease (OR=2.7, 95% CI=1.3–5.6) and an independent prognostic factor for both DFS (HR=2.0, 95% CI=1.1–3.6) and OS (HR=2.7, 95% CI=1.3–5.5) in patients with EC.28

In our study, the preoperative plasma fibrinogen level was associated with age, BMI, pre/post-menopausal status, FIGO stage, myometrial invasion, histological type, lymphovascular invasion and comorbidities and was confirmed to be an independent prognostic factor for EC, which is consistent with previous findings, although we found that the plasma fibrinogen level was different in grade G1 and grade G2/3 tumors, which contrasted with the conclusions of Seebacher et al and Ghezzi et al Although the relationship between fibrinogen and various clinicopathological parameters and the prognostic value of plasma fibrinogen in EC has been studied previously, only fibrinogen was reported in these studies, and other coagulation markers (D-dimer, aPTT, PTA, PT and TT) have not been discussed. The effects of BMI, menopausal status, comorbidities, and preoperative radiotherapy or chemotherapy on the prognosis of EC also should be considered. Moreover, the number of cases included in this study was 942, far exceeding the numbers in past studies. In this study, the prognostic value of six coagulation markers and more comprehensive clinical pathological parameters in EC was analyzed in more samples, and the conclusions obtained were more robust.

D-dimer is a specific degradation product produced by the hydrolysis of fibrinolytic protein by cross-linked fibrin, and the change in plasma D-dimer levels indicates abnormal secondary fibrinolytic activity. D-dimer can be used as a biomarker to assess hyperfibrinolysis and hypercoagulability in vivo. In patients with colorectal liver metastases, a multivariate analysis showed that elevated D-dimer levels independently predicted major complications and were independently associated with reduced OS.29 Cai et al30 acknowledged that the fibrinogen and D-dimer levels and the D-dimer-fibrinogen ratio (DFR) are associated with the clinical features and prognosis of gastrointestinal stromal tumors (GISTs) and that DFR may be an independent risk factor that can predict the prognosis of resectable GISTs. In a study of colorectal cancer (CRC), Guo et al31 found that the plasma D-dimer level can serve as a useful monitoring marker for distant organ metastasis in patients with CRC after therapeutic resection; Lee et al32 believed that the D-dimer level can predict the OS rate of CRC patients. Compared with patients with benign lung diseases, patients with small-cell lung cancer (SCLC) had a significantly higher plasma D-dimer level. Patients with elevated D-dimer levels before treatment had a significantly shorter progression-free survival (PFS) than those with normal D-dimer levels; thus, preoperative plasma D-dimer levels can be used as predictors and prognostic factors for SCLC patients.33

A high D-dimer concentration has been suggested as a predictor of venous thromboembolism (VTE) in patients with EC,34 and the D-dimer concentration is significantly consistent with the FIGO stage and tumor grade as well as tumor recurrence and metastasis.35 Many studies have come to a conclusion that the D-dimer concentration is an independent prognostic factor for EC and is independent of VTE in the survival of patients with EC.36,37

The preoperative plasma D-dimer concentration was significantly different among patients with different ages, menopausal status, FIGO stage, tumor grade, pathologic type, depth of myometrial invasion, lymphovascular invasion and preoperative radiotherapy or chemotherapy in our study. This result is similar to those reported by other studies with other tumors and EC. The univariate analysis showed that patients with high D-dimer levels had poor survival, but the multivariate analysis showed that preoperative plasma D-dimer concentration was not an independent prognostic factor for EC. However, in the previous study, fibrinogen and D-dimer levels were not used as variables in the multivariate analysis at the same time. When the fibrinogen level was removed as a variable in this study, the results of the multivariate analysis also suggested that the D-dimer level was an independent prognostic factor for EC (HR=1.929; 95% CI=1.035–3.595; p=0.039). This finding indicates that whether D-dimer can independently predict the prognosis of EC remains controversial.

In our study, PT had no association with the clinicopathological characteristics and prognosis of EC. However, PTA is associated with BMI and lymphatic vascular invasion in EC. The univariate analysis found that patients with low PTA have poor survival, but the multivariate analysis showed that PTA was not an independent prognostic risk factor for EC. PTA is calculated using PT, and the different conclusions obtained in this study may be related to the calculation methods. PTA has the same clinical significance as PT, but PTA can reflect the activity of coagulation factors more accurately than PT. There are few studies on the relationship between PTA and cancer outcomes; although PTA cannot be used as a predictor of prognosis for EC, this factor is still a promising indicator for assessing the progression of EC.

Ge et al38 combined TT with several other preoperative indicators to predict whether patients with gastric cancer were stage IV or non-IV and correctly predicted the stage in 90.6% of patients. According to multivariate analysis in the present study, TT was significantly associated with age, menopause and FIGO stage, but not with prognosis, even though a low TT level was a negative prognostic factor for EC by univariate analysis. Thus, the link between TT and EC progression needs to be further explored.

In some studies focused on malignant tumors, patients with a reduced aPTT were found to have a poor prognosis.4,39 This study considered that aPTT was different in patients with different menopause and comorbidities, but did not find a correlation between aPTT and the prognosis of EC.

There are still some limitations in this study, such as a portion of the patients being lost to follow-up and the inability to provide accurate information. However, we collected a large sample of patients with EC for this study, and the data from the electronic medical record system of Shengjing Hospital Affiliated to China Medical University are authentic and reliable, which guarantees the scientific nature of the research.

Conclusion

In conclusion, the fibrinogen, D-dimer, aPTT, PTA, and TT levels are associated with clinicopathological characteristics in patients with EC undergoing surgery. The preoperative fibrinogen is a valuable independent prognostic factor and is a promising biomarker for predicting the survival of patients with EC.