Literature DB >> 26469700

Clinical Significance of Preoperative Thrombin Time in Patients with Esophageal Squamous Cell Carcinoma following Surgical Resection.

Xiao-Hui Li1, Xue-Ping Wang1, Wen-Shen Gu2, Jian-Hua Lin1, Hao Huang3, Ting Kang1, Lin Zhang4, Hao Chen1, Xin Zheng1.   

Abstract

BACKGROUND: Noninvasive tools for the prognosis of ESCC are urgently needed. To this end, serum coagulation tests have been researched in some cancers, but the prognostic value of the TT in ESCC has not been described.
METHODS: The levels of pre-treatment serum coagulation markers (including the PT, APTT, PTA, INR, fibrinogen level, TT and PLT) were retrospectively analyzed in 204 patients with ESCC who underwent surgical resection at our department and in 200 healthy controls, and the two groups were compared. The prognostic significance of the coagulation tests was then determined with univariate and multivariate cox hazard analyses in patients with ESCC.
RESULTS: Compared with those in normal controls, the PT, APTT, and fibrinogen levels were significantly increased, whereas the TT values significantly decreased in the 204 ESCC patients. The TT directly correlated with the 5-year survival rate, not only in the entire ESCC cohort (p = 0.023) but also in the subgroups stratified according to the T and N classifications and metastasis. Conversely, the other tests were not independent prognostic factors for ESCC. Of the clotting markers, the TT inversely correlated with the fibrinogen level (p = 0.005).
CONCLUSIONS: The 5-year survival was shorter in ESCC patients exhibiting decreased pre-treatment TT values. Thus, the serum TT may be a clinical prognostic factor for ESCC patients.

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Year:  2015        PMID: 26469700      PMCID: PMC4607453          DOI: 10.1371/journal.pone.0140323

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Esophageal squamous cell carcinoma (ESCC) is the major pathological type of esophageal cancer and one of the most common malignancies worldwide. Furthermore, it is the fourth most frequent cause of cancer-related death in China [1-2]. Although advanced diagnostic tools, surgical techniques and therapy are available for patients with ESCC, the 5-year survival rate remains low [3-4]. Thus, a more effective biomarker to recognize the biological characteristics of ESCC patients needs to be identified in order to guide individualized treatment. The association between cancer and thrombosis is well recognized, and almost all types of cancer are associated with an activation of coagulation, even in the absence of thrombosis [5-8]. Patients with cancer are at a 4- to 6-fold increased risk of developing venous thromboembolism (VTE) [9]. Importantly, cancer-induced hemostatic activity has been shown to promote tumor progression and dissemination, the inflammatory cell response, tumor angiogenesis, and metastasis [10-12]. In fact, abnormal coagulation parameters that represent active coagulation and fibrinolytic systems have been associated with tumor progression and decreased overall survival (OS). Some researchers reported that increases in the prothrombin time (PT) and international normalized ratio (INR) are associated with decreased survival in lung cancer patients [13]. Moreover, high levels of circulating biomarkers, such as fibrinogen, fibrin(ogen) split products and D-dimer, are associated with decreased overall survival (OS) in breast cancer, colorectal cancer and melanoma [14-16]. High D-dimer levels and hyperfibrinogenemia were also identified as independent prognostic predictors in pancreatic cancer and gallbladder cancer, respectively [17-20]. The thrombin time (TT) is one of the most common coagulation tests used in the laboratory, but its prognostic value in cancer has rarely been studied. Moreover, few studies have systematically investigated the relationship between ESCC and coagulation abnormalities, and the prognostic value of the TT consequently remains unclear. The aim of the present study was to assess the clinical and prognostic significance of various plasma coagulation tests in ESCC patients and to delineate the correlation of these coagulation tests with other clinical variables.

Subjects and Methods

Subjects

This study examined 204 consecutive patients (145 men and 59 women; ages 36–79 years, median 59 years) who received histologically confirmed diagnoses of ESCC between January 2007 and May 2008 at the Sun Yat-sen University Cancer Center in Guangzhou, China. Patients with one of the following conditions were excluded: (1) patients younger than 18 years of age; (2) patients who received antitumor treatment or surgery before enrolling in this study; (3) patients who regularly received procoagulant or anticoagulant therapy or received blood transfusions within 1 month of study onset; (4) patients who were diagnosed with VTE, pulmonary embolism, or disseminated intravascular coagulation (DIC) within 1 month of study onset or during the subsequent treatment. Using the patients’ medical records, the grade of tumor differentiation and stage were classified based on the 6th edition of the AJCC/UICC TNM system. In our cohort, all 204 patients underwent surgical resection. Specifically, 65.7% (134/204) patients underwent tumor resection without receiving any treatment, and 34.3% (70/204) patients received other comprehensive therapy. Furthermore, 27.5% (56/204) of patients received chemotherapy after surgery: 5 patients received radiation and 9 patients received radiation and chemotherapy after surgery. Only one patient received radiation and chemotherapy prior to surgery (stage IV). None of the stage I patients, 17.5% (17/97) of stage II patients and 57.5% (52/92) of stage III and IV patients received radiation and/or chemotherapy after surgery. The most common chemotherapeutics were capecitabine, floxuridine and ethyleniminoquinonum. A total of 200 healthy participants (142 men and 58 women; ages 36–77 years, median 58years) free of tumors and coagulation disorders (such as VTE, pulmonary embolism, or disseminated intravascular coagulation) were recruited from the physical examination department at the Sun Yat-Sen University Cancer Center. Patients younger than 18 years or older than 80 years of age were excluded. Detailed clinical and pathological information, including demographic data, smoking status, pathological tumor, node, metastasis stage and overall survival data, were available for all patients. The overall patient survival, defined as the time from surgery to death or last follow up, whichever came first, was used as a measure of prognosis.

Laboratory Measurements

Venous blood samples were collected in tubes containing sodium citrate prior to the initiation of any treatment to measure coagulation parameters. The samples were immediately centrifuged and studied within 2 h of processing according to the instructions from the manufacturer. The PT, APTT, fibrinogen and TT were measured using a Sysmex CA-7000 automatic coagulation analyzer (Sysmex Corporation, Kobe, Japan). Commercially available reagents (Siemens AG, Munich, Germany) provided by the kinetic nephelometric detection system using a Diagon Dia-Timer 4 (Diagon Ltd, Budapest, Hungary) were employed to measure the PT, APTT, TT and fibrinogen level. The prothrombin activity (PTA) reflects the calibration of PT, and PTA and INR were calculated based on the PT. The platelet count (PLT) was derived from the blood count using a Sysmex XE-5000 automatic blood-cell counter (Sysmex Corporation, Kobe, Japan). Prior to use of these patients’ sera, written informed consent was obtained from each of the participants, and the experiment was approved by the Institute Research Ethics Committee of Cancer Center of Sun Yat-Sen University in Guangzhou, China. Data made available to all interested researchers upon request. E-mail: zhengxin@sysucc.org.cn; chenhao@sysucc.org.cn

Statistical Analysis

The results are reported either as the mean or median values depending on the type of distribution. Continuous variables (INR, PTA, APTT, fibrinogen and PLT) were categorized using median values as cut-off points except for TT and PT, which were based on the mean±SD. The correlation between coagulation tests and clinical characteristics was assessed using the Mann-Whitney U test except for TT and PT, which were compared using independent t-tests and χ2 tests. The differences between ESCC patients and healthy donors were compared using the unpaired Student’s t-test. Univariate and multivariate analyses of clinical variables were performed using Cox proportional hazards regression models. The results of this survey were analyzed using the Kaplan-Meier survival curves with the log-rank test. P values < 0.05 were considered to indicate significant differences. All reported P values are two sided, and all statistical tests were performed with the SPSS 17.0 for Windows software (SPSS, Chicago, IL, USA).

Results

Comparison of coagulation tests between patients and healthy controls

To investigate whether coagulation abnormalities occur in ESCC, the coagulation tests results of healthy controls (n = 200) and ESCC patients (n = 204) were compared using the non-parametric test (Table 1). The plasma level of several coagulation markers, i.e., PT, APTT, fibrinogen and TT, revealed significant differences between the patient and control group (p < 0.001 for all variables). However, the PTA (p = 0.089), INR (p = 0.719) and PLT (p = 0.204) did not differ between these groups (Fig 1). Overall, the PT, APTT, fibrinogen, PLT levels were higher and the TT and PTA were lower in the ESCC patients than in the control group.
Table 1

The serum coagulation tests results in patients with ESCC and healthy controls.

Patients (n = 204)Control s(n = 200)
Coagulation testsMedianRangeMedianRangep value
PT (sec)12.009.2–15.810.909.4–16.8<0.001
PTA (%)102.9054.6–160.8106.8043.8–154.10.09
INR0.950.75–1.280.950.82–1.440.72
APTT (sec)30.7019.0–46.524.9018.2–34.9<0.001
fibrinogen (g/L)3.441.52–6.872.891.68–6.28<0.001
TT (sec)17.2014.4–20.918.6015.8–24.2<0.001
PLT (103/mm3)238.5037.4–740.0237.0083.0–424.00.20
Fig 1

Pre-treatment serum levels of coagulation markers in patients with ESCC and in healthy controls.

Pre-treatment serum levels of PT (a), PTA (b), INR (c), APTT (d), fibrinogen (e), TT (f), PLT (g) in ESCC and healthy controls. Each dot represents the level of one patient or one control, and the line in the graph indicates the median value.

Pre-treatment serum levels of coagulation markers in patients with ESCC and in healthy controls.

Pre-treatment serum levels of PT (a), PTA (b), INR (c), APTT (d), fibrinogen (e), TT (f), PLT (g) in ESCC and healthy controls. Each dot represents the level of one patient or one control, and the line in the graph indicates the median value.

Coagulation tests and their correlations with clinical characteristics

The relationships between the clotting markers and clinical characteristics of the patients are summarized in Table 2. Specifically, patients classified as T1-T2 exhibited a significantly higher TT than patients classified as T3-T4 (p = 0.019). Moreover, the fibrinogen level significantly correlated histological differentiation, T classification, N classification and TNM stage (p = 0.012, p = 0.006, p = 0.012, and p = 0.004, respectively), suggesting that patients with moderate to advanced disease exhibit higher fibrinogen levels than patients with early-stage disease. Furthermore, 30.9% (63/204) of patients exhibited mild to moderate hyperfibrinogenemia (cut-off value 4.0 g/L). In addition, elevated PLT counts were associated with age lower than 59 (248000/mm3 vs 231000/mm3, p = 0.043), and 20.1% (41/204) of patients exhibited mild to moderate thrombocytosis (cut-off value 300000/mm3). However, none of the clinical characteristics significantly correlated with the PT, INR, PTA% or APTT.
Table 2

Main Clinical Characteristics of Patients Group According to Coagulation Parameter Levels.

Coagulation Parameters (Median and Range)
VariablesN(%)PT(sec)PTA(%)INRAPTT (sec)fibrinogen (g/L)TT (sec)PLT (103/mm3)
Gender
Male145.0011.9102.80.9530.33.4617.1237
(71.10)(9.2–15.8)(54.6–160.8)(0.75–1.28)(1 9.9–46.5)(1.52–6.57)(14.4–20.9)(37.4–740.0)
Female59.00121030.9430.83.4117.3247
(28.90)(9.8–14.6)(64.5–131.0)(0.83–1.17)(19.0–40.6)(2.21–6.87)(14.9–19.1)(98.0–422.0)
p = 0.575 p = 0.999 p = 0.982 p = 0.468 p = 0.276 p = 0.535 p = 0.945
Age
< 59 years101.0011.91050.9430.83.3917 248
(49.50)(9.8–14.6)(70.2–131.0)(0.83–1.17)(19.0–45.9)(1.52–6.57)(14.4–20.9) (37.4–740.0)
≥59 years103.0012.1101.10.9530.53.5217.4 231
(50.50)(9.2–15.8)(54.6–160.8)(0.75–1.28)(19.9–46.5)(1.73–6.87)(14.9–19.6) (98.0–391.0)
p = 0.293 p = 0.131 p = 0.183 p = 0.943 p = 0.624 p = 0.308 p = 0.043
Tobacco history
No76.0012.1102.90.95313.3217.5242.5
(37.30)(9.2–14.6)(64.5–160.8)(0.75–1.17)(19.0–40.6)(1.73–6.87)(14.9–19.7)(98.0–422.0)
Yes128.0011.9102.90.9530.13.4817238
(62.70)(9.6–15.8)(54.6–136.3)(0.82–1.28)(19.9–46.5)(1.52–6.57)(14.0–20.9)(37.4–740.0)
p = 0.483 p = 1.000 p = 0.696 p = 0.619 p = 0.183 p = 0.479 p = 0.944
Histological differentiation*
Differentiated140.0012.11030.9531 3.53 17.2242
(68.60)(9.2–14.6)(64.5–160.8)(0.75–1.17)(19.0–46.5) (2.10–6.87) (14.9–20.9)(37.4–740.0)
Undifferentiated64.0011.7102.80.9529.5 3.18 17.3237
(31.40)(9.9–15.8)(54.6–135.0)(0.84–1.28)(27.0–41.5) (1.52–6.24) (14.4–20.8)(123.0–426.0)
p = 0.500 p = 0.925 p = 0.413 p = 0.883 p = 0.012 p = 0.890 p = 0.966
T classification
T1-255.0012.11040.9629.9 3.16 17.5 238
(27.00)(9.2–14.6)(64.5–160.8)(0.75–1.17)(19.0–46.5) (1.52–6.57) (15.2–20.9) (141.0–458.0)
T3-4149.0011.9102.80.9430.8 3.49 17.1 239
(73.00)(9.6–15.8)(54.6–136.3)(0.82–1.28)(19.7–45.9) (1.73–6.87) (14.4–19.7) (37.4–740.0)
p = 0.630 p = 0.441 p = 0.249 p = 0.545 p = 0.006 p = 0.019 p = 0.687
N classification
No108.0011.9104.40.9530.8 3.39 17.1238.5
(52.90)(9.2–14.6)(64.5–160.8)(0.75–1.17)(19.7–46.5) (1.52–6.57) (14.4–20.9)(37.4–458.0)
N1-296.0012102.40.9530.5 3.5 17.4238.5
(47.10)(9.7–15.8)(54.6–135.0)(0.82–1.28)(19.0–45.9) (2.35–6.87) (15.0–20.8)(98.0–740.0)
p = 0.567 p = 0.392 p = 0.531 p = 0.989 p = 0.012 p = 0.093 p = 0.652
Metastasis
M0190.0011.9102.90.9530.63.4217.2237
(93.10)(9.2–15.8)(54.6–160.8)(0.75–1.28)(19.0–46.5)(1.52–6.87)(14.4–20.9)(37.4–740.0)
M114.0012.2103.70.9532.63.8917.3251.5
(6.90)(10.1–14.2)(72.2–135.0)(0.84–1.13)(21.2–40.2)(2.54–6.57)(15.1–19.4)(110.0–376.0)
p = 0.472 p = 0.958 p = 0.901 p = 0.718 p = 0.107 p = 0.426 p = 0.575
TNM stage
I-II112.0011.9104.70.9530.4 3.39 17.2240.5
(54.90)(9.2–14.6)(64.5–160.8)(0.75–1.17)(19.0–46.5) (1.52–5.40) (14.4–20.9)(128.0–458.0)
III-IV92.0012101.10.9531.3 3.6 17.3237
(45.10)(9.7–15.8)(54.6–135.0)(0.82–1.28)(20.2–45.9) (2.14–6.87) (15.0–19.7)(37.4–740.0)
p = 0.260 p = 0.314 p = 0.454 p = 0.575 p = 0.004 p = 0.532 p = 0.835

Bold italics indicate significant differences (p < 0.05).

*Moderately and well differentiated histologic types were classified as differentiated carcinoma; Low levels of differentiation were defined as undifferentiated carcinoma.

Bold italics indicate significant differences (p < 0.05). *Moderately and well differentiated histologic types were classified as differentiated carcinoma; Low levels of differentiation were defined as undifferentiated carcinoma.

Survival analysis

In the entire cohort, the median survival of all patients was 43 months (95%CI 40.8–49.0 months). At the end of observation, 62.7% (128/204) patients had died due to disease-related or unrelated factors. To evaluate the prognostic value of clotting tests in ESCC, the demographic data, clinicopathological features, smoking status and clotting markers were evaluated using univariate and multivariate Cox regression models (Table 3). The univariate analysis revealed that T classification (HR = 2.288; 95%CI: 1.412–3.709; p = 0.001), N classification (HR = 2.158; 95%CI: 1.491–3.124; p < 0.001), metastasis (HR = 2.543; 95%CI: 1.393–4.460; p = 0.002), TNM stage (HR = 2.108; 95%CI: 1.459–3.046; p < 0.001) and TT (HR = 0.658; 95%CI: 0.457–0.948; p = 0.025) were significantly associated with ESCC survival. A multivariate analysis was carried out based on TNM stage, TT, age, and gender to determine the utility of these factors as independent prognostic factors for survival. To eliminate the influence of collinearity, we excluded the factors of T classification, N classification, and metastasis in the multivariate analysis. Consequently, the multivariate analysis showed that TNM stage (HR = 2.282; 95%CI: 1.547–3.365; p < 0.001) and TT (HR = 0.586; 95%CI: 0.404–0.849; p = 0.005) were independent prognostic indicators of ESCC survival. Thus, the TT before therapy may serve as a novel independent prognostic factor for ESCC.
Table 3

Univariate and multivariate cox hazards analysis for overall survival in 204 patients with ESCC.

Univariate analysisMultivariate analysis
VariablesHR95%CI p value** HR95%CI p value**
Gender
Male vs. Female0.7620.503–1.1550.7620.9900.641–1.5280.962
Age (years)
<59 vs.≥591.0580.735–1.5220.7631.1660.809–1.6820.410
Histological differentiation*
Differentiated vs. Undifferentiated1.3060.892–1.9110.170
T classification
T3-4 vs. T1-22.2881.412–3.7090.001
N classification
Yes vs. No2.1581.491–3.1240.000
Metastasis
Yes vs. No2.5431.393–4,4600.002
TNM stage
III-IV vs. I-II2.1081.459–3.0460.0002.2821.547–3.3650.000
Tobacco history
Yes vs. No1.2450.849–1.8260.262
PT
≥12.0 vs. <12.00.9880.686–1.4220.948
PTA%
≥102.8vs. <102.81.2670.880–1.8260.203
INR
≥0.96 vs.<0.960.8070.561–1.1620.249
APTT
≥30.6 vs.<30.61.2910.896–1.8610.171
fibrinogen
≥4.00 vs.<4.001.1650.790–1.7170.441
TT
≥17.2 vs. <17.20.6580.457–0.9480.0250.5860.404–0.8490.005
PLT
≥400 vs.<4000.9850.624–1.5550.948

HR, Hazard ratio; 95% CI, 95% confidence interval; PT, Prothrombin Time; PTA%, Prothrombin Time Activity; INR, International Normalized Ratio; APTT, Activated Partial Thromboplastin Time; TT, Thrombin Time.

*Moderately and well differentiated histologic types were classified as differentiated carcinoma; Low levels of differentiation were defined as undifferentiated carcinoma.

**Cox hazard regression model.

♯TNM denotes tumor-node-metastasis.

HR, Hazard ratio; 95% CI, 95% confidence interval; PT, Prothrombin Time; PTA%, Prothrombin Time Activity; INR, International Normalized Ratio; APTT, Activated Partial Thromboplastin Time; TT, Thrombin Time. *Moderately and well differentiated histologic types were classified as differentiated carcinoma; Low levels of differentiation were defined as undifferentiated carcinoma. **Cox hazard regression model. TNM denotes tumor-node-metastasis. To further explore the prognostic significance of TT in ESCC, Kaplan-Meier survival curves were generated, and the groups were compared using the log-rank test. In the entire ESCC cohort, patients with a normal TT (n = 108) showed significantly better 5-year overall survival than patients with a lower TT (n = 96). The cumulative 5-year survival rate in the normal TT group was 46.3%, whereas it was only 32.3% in the lower TT group (p = 0.023, Fig 2A). We also analyzed the prognostic value of the TT in selective patient subgroups stratified according to the T classification, N classification, or metastasis. ESCC patients with a lower TT level exhibited significantly shorter overall survival than patients with a normal TT level in the T3-T4 subgroup (n = 149, p = 0.034, Fig 2C), N1 subgroup (n = 96, p = 0.003, Fig 2E), and M0 subgroup (n = 190, p = 0.035, Fig 2G).
Fig 2

Prognostic significance of serum TT in ESCC.

The patients were categorized into a low TT group and a normal TT group according to the media value (17.2 sec). The five-year overall survival rate was calculated using the Kaplan-Meier method and analyzed with the log-rank test. A high TT level was a favorable prognostic factor in the entire ESCC cohort (a), T3–T4 subgroup (c), N1–N2 subgroup (e), and M0 subgroup (g).

Prognostic significance of serum TT in ESCC.

The patients were categorized into a low TT group and a normal TT group according to the media value (17.2 sec). The five-year overall survival rate was calculated using the Kaplan-Meier method and analyzed with the log-rank test. A high TT level was a favorable prognostic factor in the entire ESCC cohort (a), T3–T4 subgroup (c), N1–N2 subgroup (e), and M0 subgroup (g).

Relationship between the TT and the clinical characteristics in 204 patients with ESCC

The associations between the TT and clinical characteristics of the patients are summarized in Table 4. The TT was not associated with gender, age, tobacco history, histological differentiation, N classification, or metastasis. Compared with normal patients, the TT was lower and the fibrinogen level, T stage and TNM stage were higher in the entire ESCC cohort (p = 0.042, p = 0.024 and p = 0.029, respectively). Furthermore, the patient cohort was divided into two groups: the normal TT group and lower TT group, according to the mean TT (17.2 sec). Gender, age, histological differentiation, T classification, N classification, metastasis and TNM stage were similar between the two groups. However, patients without a tobacco history (p = 0.011) were more common in the normal TT group than in the lower TT group. Furthermore, patients with a lower TT were inclined to suffer hyperfibrinogenemia compared with the normal group (p = 0.005).
Table 4

Relationship between the TT and the clinical characteristics in 204 patients with ESCC.

CasesTT (sec) p value* Lower TTNormal TT p value**
Variables(n)(Mean ± SD)<17.2(sec)≥17.2(sec)
Number of cases20496108
Gender
Male14517.3±1.160.53573720.140
Female5917.2±1.032336
Age (≥59)
No10117.2±1.270.30853480.125
Yes10317.3±0.954360
Tobacco history
No7617.3±0.960.4792749 0.011
Yes12817.2±1.206959
fibrinogen (≥4.0 g/L)
No14117.3±1.06 0.042 5784 0.005
Yes6317.0±1.223924
Histological differentiation
Poor6417.1±1.080.56227370.380
Moderate9517.3±1.134451
Well4517.3±1.142520
T classification
T11617.8±1.37 0.024 5110.360
T23817.4±1.071721
T312417.1±1.066460
T42517.4±1.161015
Tis119.11
N classification
No10817.1±1.110.09354540.372
Yes9617.4±1.124254
Metastasis
No19017.2±1.110.426891010.819
Yes1417.5±1.2377
TNM stage
I1518.0±1.39 0.029 4110.078
II9717.1±1.065245
III8117.3±1.063348
IV1117.3±1.0974

Bold italics indicate significant differences (p < 0.05). Mean ± SD, Mean ± standard deviation; TT, Thrombin Time.

*P values were calculated using unpaired Student’s t-tests or one-way ANOVA, p <0.05 indicated significant differences.

**P values were calculated using the chi-squared test (χ2 test), p <0.05 indicated significant differences.

♯TNM denotes tumor-node-metastasis.

Bold italics indicate significant differences (p < 0.05). Mean ± SD, Mean ± standard deviation; TT, Thrombin Time. *P values were calculated using unpaired Student’s t-tests or one-way ANOVA, p <0.05 indicated significant differences. **P values were calculated using the chi-squared test (χ2 test), p <0.05 indicated significant differences. TNM denotes tumor-node-metastasis.

Discussion

Our results show that the PT, APTT, and fibrinogen levels were significantly higher and the TT was lower in patients with ESCC compared with normal controls. Previous studies indicated that the most common coagulation abnormalities related to malignancy are a mild shortening or prolongation of the PT or APTT, increased levels of fibrinogen degradation products (FDP) and fibrin-specific D-dimer fragments (DD), as a result of fibrinolytic response to activated coagulation, and elevated fibrinogen levels [21-22]. Although coagulation tests can be measured in the laboratory, patients may be asymptomatic. Furthermore, little is known about the abnormalities and prognostic value of coagulation tests in patients with ESCC, despite the identification of associations between serum coagulation markers and some cancers [13-20]. Our study revealed that of the seven coagulation parameters (PT, PTA, INR, APTT, fibrinogen, TT and PLT), only the TT was a prognostic indicator for ESCC. In addition, we found that patients with a lower TT experienced significantly shorter overall survival than patients with a normal TT, not only in the entire cohort but also in the subgroups stratified by T stage (T3-T4), N stage (N1-2), and metastasis (M0). The TT test is a simple, inexpensive test that is widely used in clinical laboratories to detect the function of coagulation, anticoagulation and fibrinolysis. Both the extrinsic and intrinsic coagulation cascades culminate in the activation of prothrombin to thrombin and the subsequent formation of a fibrin clot. Simultaneously, the fibrinolysis system is activated and fibrin is lysed. Thrombosis and disseminated intravascular coagulation (DIC) are common complications in cancer. The hallmark of DIC is an excessive release of thrombin and the subsequent formation and deposition of fibrin in the vessels of several organs. However, the pathogenesis of the prothrombotic state in cancer is more complex and multifactorial and is involved in tumor-procoagulant activity, the host inflammatory response and cancer treatment, but the associated mechanisms are not entirely understood [23]. Many tumors produce procoagulant substances, such as tissue factor (TF) and cancer procoagulant (CP), that can either directly or indirectly activate the blood clotting cascade by inducing a an inflammatory response in the patient. This inflammatory response then provides feedback to the tumor to release additional procoagulant factors [24-27]. Moreover, the release of potent inflammatory mediators, such as TNF and IL-1, from activated macrophages and stimulated T-cells can further enhance the prothrombotic process [24]. The suppression of fibrinolytic activity and/or decrease in anticoagulant factors can also promote the coagulation of cancer. Thromboembolic complications have been observed in cancer patients irrespective of the levels of anticoagulant factors, indicating that these levels are unfortunately not predictive of thrombotic disease [28]. Thrombin leads to the formation of fibrin, which accumulates in cancer tissue and acts as a protective barrier against inflammatory cells [29]. The prolongation of the TT decreases the level of fibrinogen or alters its structure and results in overactive fibrinolysis in some conditions, such as DIC, fibrinogenopenia, heparin anticoagulant therapy and cancer. In our study, the TT was lower and the fibrinogen level was higher in patients with ESCC compared with normal controls (17.2 sec vs.18.6 sec; 3.44 g/L vs. 2.89 g/L; p < 0.001 for both). Furthermore, patients with moderate or advanced disease exhibited higher fibrinogen levels than patients with early-stage disease (Table 2). In addition, a low TT was indicative of hyperfibrinogenemia (p = 0.005). These findings indicate that moderate to advanced ECSS is associated with a lower TT and a higher fibrinogen level, which lead to shorter overall survival. The lack of differences between T1-2, N0 and TT patients was attributed to the fact that all 204 patients were asymptomatic. Moreover, the TT remained in the normal range and only slightly changed when patients reached the moderate or advanced disease stage. Lastly, the number of M1-2 cases was insufficient for the analysis. In this study, the incidence of hyperfibrinogenemia was 30.9%(63/204, cut-off value 4.0 g/L), which is lower than that reported in other ESCC studies (43.7%) [30]. Moreover, hyperfibrinogenemia was found to be positively correlated with tumor length, depth of invasion, pathological stage and disease recurrence in ESCC [30], and the plasma fibrinogen level was identified as a predictive marker for the postoperative recurrence of ESCC in patients receiving neoadjuvant treatment [31]. Elevated plasma fibrinogen levels have also been shown to correlate with decreased OS in univariate and multivariate analyses [32], and patients with advanced disease exhibited higher plasma fibrinogen levels than patients with early-stage disease [33]. Accordingly, patients with moderate or advanced disease exhibited higher fibrinogen levels than patients with early-stage disease in the current study. Fibrinogen is a dimeric molecule with multiple integrin and non-integrin binding motifs, and cancer cells often express high levels of integrins or intercellular adhesion molecule 1. Fibrinogen deposition around tumor cells enhances the interaction between these cells and platelets, which effectively form microemboli in target organs [34]. Fibrinogen layers help tumor cells block natural killer cytotoxicity with thrombin, which can protect tumor cells from the innate immune system [35]. Thus, the clinical consequences of hyperfibrinogenemia can be serious and negatively impact the course of the disease. In summary, we first analyzed the clinical significance of pretreatment plasma coagulation tests in 204 ESCC patients treated with surgery. In this study, the TT was an independent prognostic factor in ESCC, both in the entire cohort and in groups stratified by T classification, N classification and metastasis. Prognostic markers for ESCC are currently lacking, and the TT test is a highly reproducible assay that can easily be conducted in all diagnostic laboratories. Thus, it may be employed as a prognostic tool for patients with ESCC in conjunction with other markers.
  35 in total

Review 1.  Esophageal cancer.

Authors:  Peter C Enzinger; Robert J Mayer
Journal:  N Engl J Med       Date:  2003-12-04       Impact factor: 91.245

Review 2.  Clotting mechanisms and cancer: implications in thrombus formation and tumor progression.

Authors:  Anna Falanga; Marina Marchetti; Alfonso Vignoli; Donatella Balducci
Journal:  Clin Adv Hematol Oncol       Date:  2003-11

Review 3.  Impact of venous thromboembolism and anticoagulation on cancer and cancer survival.

Authors:  Nicole M Kuderer; Thomas L Ortel; Charles W Francis
Journal:  J Clin Oncol       Date:  2009-09-08       Impact factor: 44.544

4.  Paclitaxel given by a weekly 1-h infusion in advanced esophageal cancer.

Authors:  D H Ilson; R G Wadleigh; L P Leichman; D P Kelsen
Journal:  Ann Oncol       Date:  2007-03-09       Impact factor: 32.976

5.  Malignancies, prothrombotic mutations, and the risk of venous thrombosis.

Authors:  Jeanet W Blom; Carine J M Doggen; Susanne Osanto; Frits R Rosendaal
Journal:  JAMA       Date:  2005-02-09       Impact factor: 56.272

Review 6.  Coagulation and cancer: implications for diagnosis and management.

Authors:  M F Loreto ; M De Martinis ; M P Corsi ; M Modesti ; L Ginaldi
Journal:  Pathol Oncol Res       Date:  2000       Impact factor: 3.201

7.  Plasma fibrinogen levels in patients with benign and malignant ovarian tumors.

Authors:  Katrin Hefler-Frischmuth; Judith Lafleur; Lukas Hefler; Stephan Polterauer; Veronika Seebacher; Alexander Reinthaller; Christoph Grimm
Journal:  Gynecol Oncol       Date:  2015-01-07       Impact factor: 5.482

Review 8.  The role of tissue factor pathway inhibitor in tumor growth and metastasis.

Authors:  Ali Amirkhosravi; Todd Meyer; Mildred Amaya; Monica Davila; Shaker A Mousa; Theresa Robson; John L Francis
Journal:  Semin Thromb Hemost       Date:  2007-10       Impact factor: 4.180

9.  Clinical significance of plasma fibrinogen level as a predictive marker for postoperative recurrence of esophageal squamous cell carcinoma in patients receiving neoadjuvant treatment.

Authors:  S Matsuda; H Takeuchi; K Fukuda; R Nakamura; T Takahashi; N Wada; H Kawakubo; Y Saikawa; T Omori; Y Kitagawa
Journal:  Dis Esophagus       Date:  2013-08-27       Impact factor: 3.429

10.  The clinical significance of preoperative plasma fibrinogen level and platelet count in resectable esophageal squamous cell carcinoma.

Authors:  Jianbo Wang; Hong Liu; Na Shao; Bingxu Tan; Qingxu Song; Yibin Jia; Yufeng Cheng
Journal:  World J Surg Oncol       Date:  2015-04-22       Impact factor: 2.754

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  11 in total

1.  Preoperative plasma fibrinogen is associated with poor prognosis in esophageal carcinoma: a meta-analysis.

Authors:  G Y Lv; Y Yu; L An; X D Sun; D W Sun
Journal:  Clin Transl Oncol       Date:  2017-11-13       Impact factor: 3.405

2.  Prognostic significance of hyperfibrinogenemia in patients with esophageal squamous cell carcinoma.

Authors:  Takashi Suzuki; Hideaki Shimada; Tatsuki Nanami; Yoko Oshima; Satoshi Yajima; Naohiro Washizawa; Hironori Kaneko
Journal:  Int J Clin Oncol       Date:  2017-01-07       Impact factor: 3.402

3.  Prognostic Role of Prothrombin Time Activity, Prothrombin Time, Albumin/Globulin Ratio, Platelets, Sex, and Fibrinogen in Predicting Recurrence-Free Survival Time of Renal Cancer.

Authors:  Zichen Bian; Jialin Meng; Qingsong Niu; Xiaoyan Jin; Jinian Wang; Xingliang Feng; Hong Che; Jun Zhou; Li Zhang; Meng Zhang; Chaozhao Liang
Journal:  Cancer Manag Res       Date:  2020-09-15       Impact factor: 3.989

4.  Reduction of AZGP1 predicts poor prognosis in esophageal squamous cell carcinoma patients in Northern China.

Authors:  Hong Tang; Yufeng Wu; Yanru Qin; Haiying Wang; Lili Wang; Xinyuan Guan; Suxia Luo; Qiming Wang
Journal:  Onco Targets Ther       Date:  2016-12-20       Impact factor: 4.147

5.  The association of plasma fibrinogen with clinicopathological features and prognosis in esophageal cancer patients.

Authors:  Fang-Teng Liu; Hui Gao; Chang-Wen Wu; Zheng-Ming Zhu
Journal:  Oncotarget       Date:  2017-10-10

6.  Prognostic value of pretreatment serum alanine aminotransferase/aspartate aminotransferase (ALT/AST) ratio and gamma glutamyltransferase (GGT) in patients with esophageal squamous cell carcinoma.

Authors:  Hao Huang; Xue-Ping Wang; Xiao-Hui Li; Hao Chen; Xin Zheng; Jian-Hua Lin; Ting Kang; Lin Zhang; Pei-Song Chen
Journal:  BMC Cancer       Date:  2017-08-14       Impact factor: 4.430

7.  A retrospective discussion of the prognostic value of combining prothrombin time(PT) and fibrinogen(Fbg) in patients with Hepatocellular carcinoma.

Authors:  Xue-Ping Wang; Min-Jie Mao; Zhong-Lian He; Lin Zhang; Pei-Dong Chi; Jia-Rui Su; Shu-Qin Dai; Wan-Li Liu
Journal:  J Cancer       Date:  2017-07-05       Impact factor: 4.207

8.  Comparative clinical features and short-term outcomes of gastric and small intestinal gastrointestinal stromal tumours: a retrospective study.

Authors:  Zhengyang Yang; Feng Wang; Song Liu; Wenxian Guan
Journal:  Sci Rep       Date:  2019-07-11       Impact factor: 4.379

9.  Development of Models to Predict Postoperative Complications for Hepatitis B Virus-Related Hepatocellular Carcinoma.

Authors:  Mingyang Bao; Qiuyu Zhu; Tuerganaili Aji; Shuyao Wei; Talaiti Tuergan; Xiaoqin Ha; Alimu Tulahong; Xiaoyi Hu; Yueqing Hu
Journal:  Front Oncol       Date:  2021-10-05       Impact factor: 6.244

10.  Novel Prognostic Scores Based on Plasma Prothrombin Time and Fibrinogen Levels in Patients With AFP-Negative Hepatocellular Carcinoma.

Authors:  Minjie Mao; Xueping Wang; Yiling Song; Hui Sheng; Runkun Han; Weihong Lin; Shuqin Dai
Journal:  Cancer Control       Date:  2020 Jan-Dec       Impact factor: 3.302

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