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

Aims: The levels of coagulation system tests have been studied in various cancers. In this study, our aim is to evaluate the prognostic value of pretreatment plasma coagulation tests in hepatocellular carcinoma (HCC) patients. Patient and methods: A retrospective study was performed in 539 patients with HCC, and follow-up period was at least 60 months until recurrence or death. The prognostic significance of coagulation system tests (prothrombin time, activated partial thromboplastin time, thrombin time, fibrinogen) were determined by univariate and multivariate Cox hazard models. Then, according to the results of the multivariate analyses, we proposed the coagulation-Based Stage, which combined the independent risk factors (prothrombin time and fibrinogen).
Results: Coagulation system tests including prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (Fbg) were analyzed. Patients with prolonged PT (≥12.1 sec) levels had significantly poor overall survival (OS) and disease-free survival (DFS), not only in the entire cohort (HR: 1.661, 95%CI: 1.125-2.451, p=0.011 vs. HR: 1.660, 95%CI: 1.125-2.451, p=0.011), but also in the subgroups stratified by pathological stage (stage I-II and stage III-IV). Additionally, high Fbg (≥2.83 g/L) levels experienced significantly decreased OS and DFS (HR: 2.158, 95%CI: 1.427-3.263, p<0.001 vs. HR: 2.161, 95%CI: 1.429-3.267, p<0.001), not only in the entire cohort but also in the subgroups stratified by pathological stage (stage I-II and stage III-IV). All the patients were then stratified (based on combined PT and Fbg) into three groups, The OS for HCC patients were (41.37±17.76), (31.83±19.84) and (18.68±18.41) months, and the DFS for HCC patients were (41.15±17.88), (31.65±19.81) and (18.66±18.39) months. Conclusions: Our findings suggest that the combination of plasma PT and Fbg levels should be evaluated as the valuable predictor of survival in patients with HCC.

Introduction

Hepatocellular carcinoma (HCC) is one of the most common malignancies and the third most frequent cause of cancer-related death worldwide 1. More than half of the patients with HCC are diagnosed in China. In the past several decades, substantial developments and advances have been made in the screening, diagnosis and staging, especially the improvement of imaging techniques. However, in the worldwide, the 5-year overall survival (OS) rate of HCC is only 7% 2. To date, many serum biomarkers, such as α-fetoprotein (AFP), γ-glutamyl transferase (GGT), and (carcino-embryonic antigen) CEA, have been used to predict the survival of HCC patents 3, 4. Especially, AFP is the widely used tumor biomarker for HCC prognosis. However, due to limited sensitivity and specificity, these markers are not entirely reliable. Thus, more effective biomarkers are needed to identify the biological characteristics and guide individualized comprehensive treatments of HCC to improve patient survival.

The association between cancer and the coagulation system is well recognized 5. Importantly, cancer-induced hemostatic activity has been shown to promote tumor development, progression and metastasis 6-8. In fact, abnormal coagulation parameters that represent hemostatic and fibrinolytic systems have been associated with tumor progression and dissemination, which could decrease overall survival (OS) of tumors 9. In our previous study, the decreased pre-treatment thrombin time (TT) was reported to be associated with the shorter ESCC survival 10. Research was conducted by Tas et al. 11, who reported the prognostic values of the prothrombin time (PT) and international normalized ratio (INR) in lung cancer. Moreover, in the original studies, hyperfibrinogenemia was also identified as independent prognostic predictors in melanoma 12 and gallbladder cancer 13. The liver plays an important role in the metabolism and synthesis of clotting factors, which could regulate the blood coagulation and anticoagulation system. The ability to synthesize clotting factors and anticoagulation proteins is damaged by various liver diseases, such as hepatitis, liver cirrhosis and HCC 13. Furthermore, the patients in advanced HCC often have abnormal coagulation, involving coagulation, fibrinolysis and other complex pathological changes, which is closely related to the tumor progression, the prognosis and survival of cancer patients. Prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (Fbg) are the most common coagulation tests used in the laboratory, but few studies focused on the prognostic value in cancer. Therefore, there is little evidence about the impact on hemostatic system in clinical outcomes with HCC patients.

Given this, we aim to elucidate a retrospective cohort analysis to examine the association between PT, Fbg, overall survival (OS) and disease-free-survival (DFS) in HCC patients.

Methods

Patients

A total of 539 eligible patients, who received histologically confirmed diagnosed with HCC between January 2009 and December 2012 at the Sun Yat-sen University Cancer Center were collected and enrolled into this retrospective study. The demographic details are described in Table 1. All of the patients met the diagnostic criteria for HCC. Cancer staging was based on the American Joint Committee on Cancer Staging system (AJCC, 2002; Greene, American Joint Committee on Cancer., American Cancer Society, 2002). Exclusion criteria were as follows: (1) patients treated with surgery or received any antitumor treatment drugs before plasma collection; (2) patients who regularly took procoagulant or anticoagulant therapy or took blood transfusions within 1 month of study onset; (4) patients with concomitant diseases associated with influenced plasma coagulation levels (i.e., VTE, pulmonary embolism, or disseminated intravascular coagulation (DIC) within 1 month of study onset or during the subsequent treatment); (5) other types of malignancy. All patients received treatment. Clinical information, including demographic data, pathological tumor node metastasis (pTNM) stage, alcohol consumption, BMI, family history of cancer, overall survival (OS) and disease-free survival (DFS) data were available for all patients. Prior to use of these plasma, informed consent was obtained from each of the patients. This study was approved by the medical ethics committee of Sun Yat-Sen University Cancer Center (Guangdong, China).

Table 1

Characteristics and parameters of the HCC patients

Characteristics	no. (%)	5-year OS (Months)Mean ± SD	p value	5-year DFS (Months)Mean ± SD	p value
Gender(n)
Male	480(89.05)	30.82 ±20.74	0.524	30.65 ±20.71	0.566
Female	59(10.95)	29.71 ±20.21		19.71 ±20.21
Age (years)
≥53	275(51.02)	32.05 ±20.57	0.167	31.75 ±20.55	0.226
< 53	264(48.98)	29.30 ±20.71		29.30 ±20.71
Stage(n)
I and II	306(56.77)	38.16 ±17.84	0.000	37.92 ±17.87	0.000
III and IV	233(43.23)	20.90 ±20.06		20.87 ±20.07
Tumor size(cm)
≥5	220(40.82)	20.17±19.68	0.000	20.14±19.69	0.000
<5	319(59.18)	37.96±18.06		37.73±18.09
Tumor number
Single	335(62.15)	33.71±20.02	0.001	33.55±20.04	0.001
Multiple	192(35.62)	26.74±20.75		26.60±20.66
Node stage
N0	502(93.14)	31.35±20.34	0.016	31.19±20.32	0.017
N1-2	37(6.86)	21.92±23.30		21.92±23.30
Distant metastases
Yes	31(5.75)	24.52±23.08	0.102	24.52±23.08	0.108
No	508(94.25)	31.08±20.48		30.92±20.45
BMI (kg/m2)
≥24.0	174(32.28)	32.70±20.70	0.234	32.44±20.58	0.292
18.5-23.9	319(59.18)	29.94±20.74		29.83±20.77
<18.5	45(8.35)	28.80±19.90		28.80±19.90
Alcohol behavior
Yes	200(37.11)	30.02±21.18	0.683	29.66±21.08	0.535
No	339(62.89)	31.10±20.38		21.08±20.40
Family history of cancer
Yes	138(25.60)	32.21±20.52	0.362	32.21±20.52	0.303
No	401(74.40)	30.18±20.72		29.98±20.68
HBV DNA (copies/mL)
≥103	281(52.13)	30.23±19.87	0.000	30.22±19.87	0.000
<103	128(23.75)	39.98±18.05		39.77±18.05
AFP (ng/mL)
≥400	195(36.18)	24.35±20.46	0.000	24.19±20.40	0.000
<400	323(59.53)	35.85±19.18		35.70±19.19
PT(sec)
≥12.1	275(51.02)	25.75±19.89	0.000	25.66±19.87	0.000
<12.1	263(48.79)	35.99±20.17		35.77±20.17
APTT(sec)
≥25.6	271(50.28)	27.66±21.34	0.000	27.55±21.35	0.000
<25.6	267(49.54)	33.90±19.47		33.70±19.42
Fbg (g/L)
≥2.83	269(49.91)	23.88±20.43	0.000	23.76±20.33	0
<2.83	269(49.91)	37.62±18.51		37.44±18.58
TT (sec)
≥18.4	275(51.02)	30.71±20.57	0.995	30.63±20.52	0.943
<18.4	263(48.79)	30.80±20.77		30.58±20.78
PLT (109/L)
≥178	250(46.38)	26.60±20.20	0.000	26.44±20.04	0.000
<178	248(46.01)	34.95±20.36		34.78±20.37

Laboratory Measurements

As part of the physical examination, peripheral blood was collected in tubes containing sodium citrate prior to the initiation of any treatment to measure coagulation parameters between 7 and 8 am, and centrifuged at 3000 r/min for 10 min for plasma separation. The levels of PT, APTT, TT and Fbg were tested using a Sysmex CA-7000 automatic coagulation analyzer (Sysmex Corporation, Kobe, Japan). All reagents used in this study were provided by kinetic nephelometric detection system using a Diagon Dia-Timer 4 (Diagon Ltd, Budapest, Hungary). The platelet count (PLT) was measured from the blood count using a Sysmex XE-5000 automatic blood-cell counter (Sysmex Corporation, Kobe, Japan)

Follow-up

After completion of primary treatment, patients were generally followed up every 3 months in the first 2 years, every 6 months for the following 3 to 5 years, and annually thereafter for patients without evidence of recurrence. The last follow-up was in December 2016. The survival status was verified through checking clinical attendance records or direct telecommunication with the patient or their family (performed by The Medical Information Unit in our Cancer Center).

Statistical analysis

One outcome of our study was OS, which was calculated between the first diagnosis of HCC and death, or the date of the last follow-up. The other outcome was DFS, defined as the time from first diagnosis to the date of disease recurrence. Data were expressed as the mean and standard deviation (mean ± SD). Continuous variables were categorized using median values as cut-off point. 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 and proportional hazard model. The correlation between PT, Fbg and Clinical Characteristics was analyzed using the Mann-Whitney U test and χ2 test. P values were derived from two-sided tests and P values <0.05 were regarded as statistically significant. All statistical tests were performed with SPSS 16.0 for Windows software (SPSS, Chicago, IL, USA).

Results

Patient Characteristics

From January 2009 to December 2012, 539 patients with a pathologically confirmed diagnosis of HCC were enrolled in this analysis, and their characteristics are presented in Table 1. There were 480 men (89.05%) and 59 women (10.95%), the median age was 53 years (range: 19 to 88 years). Of all patients, the pathological stage of I - II and III-IV were observed in 306 (56.77%), 233 (43.23%) of the patients, respectively. A total of 409 patients (75.88%) had hepatic B virus infection. In the entire cohort of clinical characteristics, pTNM status, tumor size, tumor number, node stage, distant metastases, HBV DNA, AFP, PT and Fbg had influence on OS and DFS of HCC patients.

Univariate and multivariate analyses of plasma hemostatic system in HCC

To determine the prognostic value of the pre-treatment hemostatic system in HCC, the clinical characteristics (including age, gender, alcohol index, BMI, family history of cancer, pTNM status, tumor size, tumor number, node stage, distant metastases, HBV DNA, AFP) and the hemostatic system profiles were subjected to univariate and multivariate analysis. With univariate analysis, TNM stage (P=0.000), tumor size (P=0.000), tumor number (P=0.000), node stage (P=0.000), distance metastases (P=0.009), BMI (P=0.042), AFP (P=0.000), HBV DNA (P=0.001), PT (P=0.000), APTT (P=0.011), Fbg (P=0.000), and PLT (P=0.000) were found to be associated with significantly overall survival (Table 2), also TNM stage (P=0.000), tumor size (P=0.000), tumor number (P=0.000), node stage (P=0.000), distance metastases (P=0.010), BMI (P=0.043), AFP (P=0.000), HBV DNA (P=0.001), PT (P=0.000), APTT (P=0.011), Fbg (P=0.000), and PLT (P=0.000) had effect on DFS (Table 3).

Table 2

Univariate and multivariate cox hazards analysis for overall survival in 539 patients with HCC

	Univariate analysis			Multivariate analysis
Variables	HR	95%CI	p value*	HR	95%CI	p value*
Gender
Male vs. Female	1.041	0.681-1.191	0.854	1.214	0.657-2.242	0.537
Age (years)
<53 vs.≥53	0.911	0.697-1.190	0.492	1.206	0.818-1.778	0.345
TNM stage
III-IV vs. I-II	4.387	3.290-5.849	0.000
Tumor size(cm)
<5 vs.≥5	4.267	3.220-5.654	0.000	4.399	2.838-6.817	0.000
Tumor number
Single vs. Multiple	1.853	1.410-2.436	0.000	0.737	0.488-1.115	0.149
Node stage
N0 vs. N1-2	2.293	1.487-3.536	0.000	1.513	0.753-3.040	0.245
Distant metastases
Yes vs. No	1.899	1.172-3.077	0.009	1.211	0.522-2.811	0.655
BMI (kg/m2)
≥24.0 vs. 18.5-23.9 vs. <18.5	0.793	0.634-0.992	0.042	0.977	0.721-1.324	0.880
Alcohol behavior
Yes vs. No	1.000	0.757-1.321	0.999
Family history of cancer
Yes vs. No	0.732	0.527-1.017	0.063
HBV DNA
<103 vs. ≥103	2.010	1.349-2.993	0.001	1.830	1.190-2.814	0.006
AFP
<400 vs. ≥400	2.066	1.564-2.729	0.000	1.519	1.038-2.224	0.031
PT
<12.1 vs. ≥12.1	1.787	1.359-2.350	0.000	1.661	1.125-2.451	0.011
APTT
<25.6 vs. ≥25.6	1.416	1.082-1.854	0.011	1.457	0.982-2.161	0.061
Fbg
<2.83 vs. ≥2.83	2.794	2.102-3.714	0.000	2.158	1.427-3.263	0.000
TT
<18.4 vs. ≥18.4	1.009	0.772-1.319	0.948
PLT
<178 vs. ≥178	1.850	1.389-2.464	0.000	1.081	0.706-1.656	0.720

HR, Hazard ratio; 95% CI, 95% confidence interval;

*Cox hazard regression model.

Table 3

Univariate and multivariate cox hazards analysis for Disease-free survival in 539 patients with HCC

	Univariate analysis			Multivariate analysis
Variables	HR	95%CI	p value*	HR	95%CI	p value*
Gender
Male vs. Female	1.038	0.679-1.587	0.863	1.212	0.656-2.240	0.537
Age (years)
<53 vs.≥53	0.916	0.701-1.197	0.519	1.207	0.819-1.780	0.342
TNM stage♯
III-IV vs. I-II	4.366	3.275-5.821	0.000
Tumor size(cm)
<5 vs.≥5	4.247	3.206-5.628	0.000	4.388	2.831-6.802	0.000
Tumor number
Single vs. Multiple	1.850	1.407-2.432	0.000	0.738	0.488-1.116	0.150
Node stage
N0 vs. N1-2	2.282	1.480-3.519	0.000	1.513	0.753-3.041	0.245
Distant metastases
Yes vs. No	1.893	1.1682-3.067	0.010	1.212	0.522-2.812	0.655
BMI (kg/m2)
≥24.0 vs. 18.5-23.9 vs. <18.5	0.794	0.635-0.993	0.043	0.977	0.721-1.325	0.881
Alcohol behavior
Yes vs. No	1.006	0.762-1.328	0.968
Family history of cancer
Yes vs. No	0.729	0.525-1.013	0.060
HBV DNA
<103 vs. ≥103	2.005	1.346-2.987	0.001	1.829	1.190-2.812	0.006
AFP
<400 vs. ≥400	2.065	1.563-2.728	0.000	1.518	1.037-2.222	0.032
PT
<12.1 vs. ≥12.1	1.784	1.357-2.346	0.000	1.660	1.125-2.451	0.011
APTT
<25.6 vs. ≥25.6	1.416	1.082-1.854	0.011	1.457	0.982-2.161	0.061
Fbg
<2.83 vs. ≥2.83	2.787	2.096-3.705	0.000	2.161	1.429-3.267	0.000
TT
<18.4 vs. ≥18.4	1.004	0.768-1.313	0.975
PLT
<178 vs. ≥178	1.848	1.387-2.462	0.000	1.083	0.707-1.659	0.714

HR, Hazard ratio; 95% CI, 95% confidence interval;

*Cox hazard regression model.

All of the potentially important parameters identified in univariate analysis were further included in the multivariate analysis, and we exclude the factors of TNM stage in the multivariate analysis because of the influence of statistical colinearity. The result showed that tumor size (P=0.000), HBV DNA (P=0.006), AFP (P=0.031), PT (P=0.011) and Fbg (P=0.000) were identified as significantly independent predictors of OS of all patients (Table 2), and tumor size (P=0.000), HBV DNA (P=0.006), AFP (P=0.032), PT (P=0.011) and Fbg (P=0.000) were also independent prognostic indicators of DFS (Table 3).

Associations between plasma hemostatic system and HCC patients' survival

In the Kaplan-Meier analysis, PT was closely associated with OS and DFS. Among all the HCC patients, the mean OS in high-PT group (PT≥12.1sec, mean: 25.75 months) was shorter than low-PT group (PT<12.1sec, mean: 35.99 months) (P=0.000), and the mean DFS in high-PT group (PT≥12.1sec, mean: 25.66months) also was shorter than low-PT group (PT<12.1sec, mean: 35.77 months) (P=0.000) (Figure 1).

Figure 1

Prognostic significance of prolonged PT in HCC in whole cohort and different pathological stages by Kaplan-Meier survival curves. OS and DFS of HCC patients showing significantly short survival with prolonged PT not only in the entire cohort (a, d) but also in the subgroups stratified by pathological stage (stage I-II (b, e), stage III-IV (c, f)).

Meanwhile, the mean OS in high-Fbg group (Fbg≥2.83 g/L, mean: 23.88 months) was shorter than low-PT group (Fbg<2.83g/L, mean: 37.62 months) (P=0.000), and the mean DFS in high-PT group (mean: 23.76 months) also was shorter than low-PT group (mean: 37.44 months) (P=0.000). The results show that patients with increased PT and Fbg levels were significantly associated with shorter OS (P=0.000) and RFS (P=0.000) (Figure 2).

Figure 2

Prognostic significance of increased Fbg levels in HCC in whole cohort and different pathological stages by Kaplan-Meier survival curves. OS and DFS of HCC patients showing significantly short survival with increased Fbg levels not only in the entire cohort (a, d) but also in the subgroups stratified by pathological stage (stage I-II(b, e), stage III-IV(c, f) ).

To further explore the relationship between PT and survival, we analyzed the prognostic effect of the PT level in subgroups based on the pathological stage. HCC patients with a higher PT level indicated significantly shorter OS and DFS than patients with a lower PT level in the both in stage I-II (P=0.047 vs. P=0.049) and stage III-IV (P=0.000 vs. P=0.000) subgroup, and the survival rate of patients with increased Fbg level had a significantly shorter OS and DFS compared with those patients with decreased Fbg levels both in stage I-II (P=0.000 vs. P=0.000) and stage III-IV subgroup (P=0.002 vs. P=0.002).

The Correlation between PT, Fbg concentrations and Clinicopathologic Characteristics in HCC patients

The associations between plasma PT, Fbg levels and clinicopathological variables in 539 HCC patients are presented in our study. The PT was associated with pathological stage and HBV DNA copies (P=0.038, P=0.000, respectively). Furthermore, all the patients were divided into two groups by the median PT (12.1sec). The PT levels were not significantly different between the two groups that were classified by age, gender, tumor size, tumor number, node stage, distant metastasis, BMI, alcohol behavior, family history of cancer, AFP. However, patients in advanced stages had longer PTs than those in the early stages of HCC (P=0.014), and patients with much more copies of HBV DNA also had longer PTs than those with less (P=0.000) (Table 4). Meanwhile, The Fbg was associated with pathological stage, tumor size, tumor number (P=0.0000, P=0.000, P=0.000, respectively). Furthermore, all the patients were divided into two groups by the median Fbg (2.83 g/L). The Fbg levels were not significantly different between the two groups that were classified by age, gender, distant metastasis, BMI, alcohol behavior, family history of cancer, HBV DNA copies, AFP. However, patients in advanced stages had higher Fbg levels than those in early stages of HCC (P=0.000) (Table 5).

Table 4

Relationship between the PT levels and the clinical characteristics in patients with HCC

Characteristics	PT
	Cases(n)	<12.1	≥12.1	p value*	Mean ± SD	p value**
Gender
Male	479	231	248	0.383	12.25 ±1.13	0.079
Female	59	32	27		12.03 ±1.33
Age (years)
≥53	275	132	143	0.675	12.27±1.16	0.433
< 53	263	131	132		12.36±1.16
Stage
I and II	305	161	144	0.038	12.13 ±1.14	0.014
III and IV	233	102	131		20.87 ±20.07
Tumor size(cm)
≥5	220	98	122	0.094	12.35±1.17	0.033
<5	318	165	153		12.14±1.14
Tumor number
Single	335	168	167	0.748	12.20±1.13	0.770
Multiple	192	93	98		12.23±1.15
Node stage
N0	501	246	255	0.711	12.22±1.13	0.659
N1-2	37	17	20		12.38±1.39
Distant metastases
Yes	31	14	17	0.677	12.42±1.28	0.454
No	507	248	258		12.22±1.15
BMI (kg/m2)
≥24.0	174	91	83	0.000	12.19±1.21	0.156
18.5-23.9	318	152	166		12.21±1.13
<18.5	45	19	26		12.49±1.10
Alcohol behavior
Yes	199	97	102	0.96	12.17±1.15	0.358
No	339	166	173		12.26±1.16
Family history of cancer
Yes	138	69	69	0.761	12.15±1.08	0.516
No	400	194	206		12.26±1.18
HBV DNA (copies/mL)
≥103	280	121	159	0.000	12.36±1.10	0.000
<103	128	81	47		11.81±1.03
AFP (ng/mL)
≥400	194	88	106	0.125	12.35±1.12	0.018
<400	323	169	154		12.13±1.11

Mean ± SD, Mean ± standard deviation.

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

**P values were calculated using unpaired Student's t-tests or Mann-Whitney U test, p <0.05 indicated significant differences.

Table 5

Relationship between the Fbg levels and the clinical characteristics in patients with HCC

Characteristics	Fbg
	Cases(n)	<2.83	≥2.83	p value*	Mean ± SD	p value*
Gender
Male	479	246	233	0.073	3.20 ±1.21	0.371
Female	59	23	36		3.21 ±1.06
Age (years)
≥53	275	132	143	0.000	3.24±1.25	0.253
< 53	263	137	126		3.13±1.13
Stage
I and II	305	185	120	0.000	2.90 ±1.06	0.000
III and IV	233	84	149		3.55 ±1.26
Tumor size(cm)
≥5	220	77	143	0.000	3.58±1.27	0.000
<5	318	192	126		2.91±1.05
Tumor number
Single	335	189	146	0.000	3.04±1.14	0.000
Multiple	191	77	114		3.39±1.23
Node stage
N0	501	256	245	0.061	3.16±1.20	0.044
N1-2	37	13	24		3.45±1.07
Distant metastases
Yes	31	15	16	0.853	3.26±1.20	0.709
No	507	254	253		3.18±1.19
BMI (kg/m2)
≥24.0	174	95	79	0.319	3.15±1.20	0.671
18.5-23.9	318	152	166		3.19±1.19
<18.5	45	21	24		3.29±1.19
Alcohol behavior
Yes	199	103	96	0.532	3.24±1.29	0.791
No	339	166	173		3.15±1.13
Family history of cancer
Yes	138	71	67	0.693	3.15±1.19	0.524
No	400	198	202		3.19±1.19
HBV DNA (copies/mL)
≥103	280	139	141	0.275	3.18±1.18	0.886
<103	128	71	57		3.19±1.35
AFP (ng/mL)
≥400	194	93	101	0.271	3.23±1.16	0.181
<400	323	171	152		3.15±1.24

Mean ± SD, Mean ± standard deviation.

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

**P values were calculated using unpaired Student's t-tests or Mann-Whitney U test, p <0.05 indicated significant differences.

A Novel hemostatic-Based Stage Predicts Overall Survival and of Patients with HCC

The prolonged PT and increased Fbg concentrations, which reflects poor OS and DFS of HCC, were prompted to develop a prognostic grouping system and evaluate the prognostic significance in HCC. Patients were assigned as follows: group 1 (low risk: PT<12.1sec and Fbg<2.83 g/L), group 2 (medium risk: PT≥12.1sec or Fbg≥2.83 g/L), group 3 (high risk: PT≥12.1sec and Fbg≥2.83 g/L). There were 139 (25.84%) allocated in group 1, 254 (47.21%) allocated in group 2, and 145 (26.95%) allocated in group 3. The 5-year OS for HCC patients in group 1, group 2 and group 3 were (41.37±17.76) months, (31.83±19.84) months, (18.68±18.41) months, respectively (P=0.000, Figure 3), and the 5-year DFS for HCC patients in group 1, group 2 and group 3 were (41.15±17.88) months, (31.65±19.81) months, (18.66±18.39) months, respectively (P=0.000, Figure 3).

Figure 3

Patients with HCC were divided into three group by incorporating two independent prognostic variables (PT and Fbg). Group 1(low risk: PT<12.1sec and Fbg<2.83 g/L), group 2(medium risk: PT≥12.1sec or Fbg≥2.83 g/L), group 3(high risk: PT≥12.1sec and Fbg≥2.83 g/L).

Discussion

Hepatocellular carcinoma is a heterogeneous solid tumor affecting the main detoxifying organ in our body. And the treatment selection is tough because no diagnostic tool has been developed to detect HCC in its early stages, which lead to a short OS and DFS. Therefore, prognostic biomarkers are needed in understanding the development of cancer and choosing individual therapeutic strategies. Thus, it is urgent to find inexpensive and convenient prognostic biomarkers for this disease.

Coagulation parameters are routine laboratory tests, which are widely used to detect the function of coagulation, anticoagulation and fibrinolytic system. And many earlier investigations have noted the relationship between coagulation parameters and the prognostic significance of malignances. A systematic activation of clotting system has been observed in cancer patients which is usually reflected by subclinical abnormalities of conventional coagulation tests 15. In this study, we defined the cut-off value of PT and Fbg as the median, and demonstrated that pretreatment plasma PT and Fbg levels were associated with OS and DFS in HCC patients. In this retrospective study, we observed that patients with increased PT levels had significantly shorter OS and DFS compared with those patients with decreased PT levels, not only in the entire cohort (HR: 1.661, 95%CI: 1.125-2.451, p=0.011 vs. HR: 1.660, 95%CI: 1.125-2.451, p=0.011) but also in the subgroups stratified by pathological stage (stage I-II and stage III-IV). We also found that patients with a higher Fbg experienced significantly shorter OS and DFS than patients with a lower Fbg, not only in the entire cohort (HR: 2.158, 95%CI: 1.427-3.263, p<0.001 vs. HR: 2.161, 95%CI: 1.429-3.267, p<0.001), but also in the subgroups stratified by pathological stage (stage I-II and stage III-IV). Therefore, PT and Fbg are the independent risk factors for HCC prognosis. Our evidence shows that with advanced HCC pathological stage, the coagulation parameters were more impaired: patients with advanced HCC exhibited longer PT levels than patients with early-stage disease in the current study; Higher Fbg was found to be positively correlated with pathological stage, tumor size, tumor number, node metastasis in HCC.

The PT and Fbg tests are widely used in clinical laboratories to demonstrate the abnormal coagulation and fibrinolysis system. The system consists of extrinsic and intrinsic coagulation cascades, which could activate the prothrombin to thrombin, and formatted the fibrin clot. Meanwhile, the fibrin clot was lysed by the activated fibrinolysis system. And the associations between coagulation system and cancer have been frequently studied 16. First of all, many studies have demonstrated that coagulation system has an effect on the solid tumors, such as ESCC 10, penile cancer 17, HCC 18, lung cancer 11 and so on. Secondly, hematological system diseases have been reported related to this 19, 20. The last, Zhu et. suggested that abnormal coagulation system was an independent prognostic factor for the brain metastases of NSCLC 21. But, the function of coagulation and fibrinolysis system in carcinogenesis is complex and not well understood, which might be involved in advanced age, tumor-inflammatory activity, and cancer treatment (including chemotherapeutic agents, hormonal therapy, operative treatment).

As we all known, the liver is a vital organ of the body metabolism, which is play an important role in synthesizing clotting factors. Liver cells is damaged by various diseases, especially in patients with liver cancer, which lead to the reduction of protein synthesis including clotting factors, and the function of removal of tissue coagulation enzymes and fibrinolytic factors declined 21. Furthermore, tumor cells directly, produce various procoagulant activities (PCAs) and proinflammatory cytokines, among which, the best defined are the tissue factor (TF), the cancer procoagulant (CP), tumor necrosis factor (TNF-a), interleukin-1 (IL-1b) and vascular endothelial growth factor (VEGF). TF known as coagulation factor III, is a transmembrane glycoprotein, which comprise complex with factor VII, activating the extrinsic pathway of blood coagulation. Overexpression of TF in the blood of cancer patients not only originates from monocytes and other host cells, but also directly synthesized and released from malignant cells 23, which supports tumor metastatic development and dissemination 24. CP known as a cysteine proteinase, which exhibits procoagulant activity through directly activating factor X and is found principally in malignant tissues 25, but the precise role that CP plays in mediating the hypercoagulable state in malignancy remains speculative. TNF-α, IL-1β and VEGF are proinflammatory cytokines, in which, TNF-α and IL-1β are play a role in reducing activation of the C protein system, one of the principal endogenous anticoagulant defense systems 26. And the VEGF could be influenced by TF, is associated with tumor neovascularization 27. That is to say, the imbalance of tumor, coagulation and inflammation, not only function of blood coagulation disorders, but also promote the growth of tumor invasion and metastasis.

For prolonged PT, the exact mechanisms underlying the association remains unclear, some possible explanations as follows: Firstly, PT prolongation reflected the biosynthetic capacity of the liver, hepatic insufficiency may lead to decreased the coagulation factors (including FXIII, FX, FV and so on) in plasma, and hepatic congestion might also affect the production of coagulation factors; Secondly, activation of the coagulation system may result in consumption of coagulation factors. The increased inflammation and activated neurohormonal activity in tumor microenvironment, have been previously suggested to cause activated coagulation in HCC patients 28; Thirdly, some specific inhibitor of coagulation factors and lots of fibrin split products have been produced by tumor, which could delay the fibrin formation. Fbg is recognized as multiple integrin and nonintegrin receptors among tumor cells, stromal cells and inflammatory cells. The cellular interactions of Fbg mediated by specific receptors function as control cell proliferation, cell migration, apoptosis, and the expression of inflammatory mediators. Fbg may also play a major role in tumor metastasis, though the mechanism remains unclear 29. The associations between increased Fbg and cancer, several potential mechanisms have been postulated: 1. The function of synthesizing fibrinolytic enzyme inhibitor and removing of fibrin degradation products was damaged; 2. In blood circulation, the tumor cells, endothelial cells and platelets interacted with each other, which activated the platelets through releasing various bioactive substances, and the molecules in platelets particle, such as Fbg, may dilute into the blood circulation to participate in tumor metastasis 29; 3. The natural killer cytotoxicity with thrombin was blocked by Fbg layers, which can protect tumor cells from the innate immune system 32.

In summary, to our knowledge, this is the retrospective study investigating the relationship between pre-therapy plasma coagulation system and HCC. Based on the 539 patients, our study provides strong evidence supporting that pretreatment plasma PT and Fbg levels are prognostic factors for OS and DFS in HCC, both in the entire cohort and in groups stratified by pathological stage, which presents a high reproducibility and it can easily be measured in all diagnostic laboratories. As this study is a retrospective analysis, it is only valid for generating hypotheses and the value of PT and Fbg should be validated in larger prospective trials.