PURPOSE: This article aimed to study the prognostic value of preoperative plasma fibrinogen and CA19-9 in non-distant metastatic breast cancer (BC). PATIENTS AND METHODS: A total of 343 non-distant metastatic BC patients were included in this study. The optimal cut-off values of plasma fibrinogen and CA19-9 were obtained by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analyses were used to evaluate prognostic factors for overall survival (OS). Survival data were assessed using Kaplan-Meier survival analysis with the Log-rank test. Based on the cut-off values, we classified the fibrinogen-CA19-9 score as follows: 2 (both hyperfibrinogenemia and high CA19-9), 1 (either hyperfibrinogenemia or high CA19-9), and 0 (neither hypefibrinogenemia nor high CA19-9). RESULTS: Our follow-up time totaled 10 years, the median follow-up time was 77 months (range=2-119 months), and 82 (23.9%) of 343 patients died during the follow-up period. The optimal cut-off values of plasma fibrinogen and CA19-9 were 2.805 g/L and 11.85 U/mL, respectively. The multivariate Cox analysis results suggested that there was a significant association between worse OS and elevated preoperative plasma fibrinogen and CA19-9 levels (HR=2.016, 95% CI=1.216-3.342, P=0.007; and HR=2.042, 95% CI=1.282-3.253, P=0.003). The area under the ROC curve (AUC) increased from 0.589 (for plasma fibrinogen) and 0.594 (for CA19-9) to 0.640 when these two parameters were combined. When we added this combined factor to the multivariate analysis, it was an independent prognostic factor for BC (P<0.001). According to the above results, we chose four prognostic factors to construct our nomogram. The AUC was 0.724, which indicates that the nomogram performs well. CONCLUSION: The combination of plasma fibrinogen and CA19-9 could be used as a valid independent prognostic factor for non-distant metastatic BC compared with either parameter alone and could easily be applied in clinical practice.
PURPOSE: This article aimed to study the prognostic value of preoperative plasma fibrinogen and CA19-9 in non-distant metastatic breast cancer (BC). PATIENTS AND METHODS: A total of 343 non-distant metastatic BC patients were included in this study. The optimal cut-off values of plasma fibrinogen and CA19-9 were obtained by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analyses were used to evaluate prognostic factors for overall survival (OS). Survival data were assessed using Kaplan-Meier survival analysis with the Log-rank test. Based on the cut-off values, we classified the fibrinogen-CA19-9 score as follows: 2 (both hyperfibrinogenemia and high CA19-9), 1 (either hyperfibrinogenemia or high CA19-9), and 0 (neither hypefibrinogenemia nor high CA19-9). RESULTS: Our follow-up time totaled 10 years, the median follow-up time was 77 months (range=2-119 months), and 82 (23.9%) of 343 patients died during the follow-up period. The optimal cut-off values of plasma fibrinogen and CA19-9 were 2.805 g/L and 11.85 U/mL, respectively. The multivariate Cox analysis results suggested that there was a significant association between worse OS and elevated preoperative plasma fibrinogen and CA19-9 levels (HR=2.016, 95% CI=1.216-3.342, P=0.007; and HR=2.042, 95% CI=1.282-3.253, P=0.003). The area under the ROC curve (AUC) increased from 0.589 (for plasma fibrinogen) and 0.594 (for CA19-9) to 0.640 when these two parameters were combined. When we added this combined factor to the multivariate analysis, it was an independent prognostic factor for BC (P<0.001). According to the above results, we chose four prognostic factors to construct our nomogram. The AUC was 0.724, which indicates that the nomogram performs well. CONCLUSION: The combination of plasma fibrinogen and CA19-9 could be used as a valid independent prognostic factor for non-distant metastatic BC compared with either parameter alone and could easily be applied in clinical practice.
Breast cancer (BC) has gradually become the most common malignancy affecting women’s health, accounting for nearly 30% of new cancer cases in women according to a report.1 In China, approximately 270,000 women were diagnosed with BC per year.2 With the development of the medical industry, the prognosis of BC patients has been enhanced by comprehensive treatment based on surgery.3,4 At the same time, a number of prognostic factors of BC and biomarkers have been proven to relate to BC.5 But the high lethality is still worrying, BC has caused 570,000 deaths in 1 year.6 Therefore, our understanding of BC prognosis still needs to be explored further.Recent studies have shown that the coagulation system plays a key role in cancer progression. Fibrinogen is a 340-kDa glycoprotein in plasma consisting of three pairs of polypeptide chains (Aα, Bβ, and γ), cycles at a rate of 2–3 mg/mL.7 Cancer cells can secrete vascular endothelial growth factor (VEGF), which will result in continuous extravasation of fibrinogen.8 High fibrinogen level was defined correlating with adverse prognostic outcome in various malignancies,9 digestive system cancer cells,10–13 respiratory system cancer cells,14,15 and gynecological cancer cells.16–19 To our knowledge, a previous study showed a fibrinogen-to-albumin ratio (FAR) was significantly linked to prognostic factor in BC.20 CA19-9 is a tumor biomarker, which is used as an auxiliary tool for clinical diagnosis. The study on the prognostic value of CA19-9 in BC is rare. Xu et al21 put forward that the combination of preoperative fibrinogen and CA19-9 has a good ability to predict prognosis in gallbladder cancer patients. Based on the above knowledge, we guessed that the combination of plasma fibrinogen and CA19-9 may also improve our ability to estimate the risk of progression and increase prognostic accuracy in non-distant metastatic BC patients.All in all, this article aimed to evaluate the roles of the combination plasma fibrinogen and CA19-9 in predicting prognostic in non-distant metastatic BC. In the meantime, we expected that the combination of these two common parameters can provide a basis for individualized treatment plans for postoperative BC treatment.
Materials and Methods
Patients Selection
This study was a regression cohort study. We retrospectively analyzed the medical records of female BC patients who underwent radical mastectomy in the First Affiliated Hospital of Wenzhou Medical University, from January 2010 to December 2014. The enrollment criteria were: 1) complete baseline data; 2) without any preoperative treatment; 3) no clinical evidence of distant metastasis; 4) no history of other cancers; and 5) non-ductal carcinoma in situ. The clinic ethics committee approval was supported by the ethics committees of The First Affiliated Hospital of Wenzhou Medical University. This study was conducted in light of the Declaration of Helsinki.
Data Collection
The information of enrollment patients were obtained from hospital databases, and their outpatient records were extracted for data abstraction. Baseline characteristics including age, pathological diagnosis, TNM stage, hormone receptor, and human epidermal growth factor receptor-2 (HER2) status, adjuvant therapy, preoperative plasma fibrinogen, CA19-9, CEA, CA125, and CA15-3 level, and date of last follow-up or death were collected.The hematological parameters were measured within 3 days before surgery. Fasting blood (2 mL) was collected from the cubital vein in the morning and serum was collected by centrifugation. CA19–9, CEA, CA125, and CA15-3 were detected using an electrochemiluminescence immunoassay system (Elecsys, Roche, Basel Switzerland) according to the manufacturer’s instructions. The fibrinogen concentration was measured based on the Clauss22 method. The reference range was 2–4 g/L for plasma fibrinogen, 0–35 U/mL for CA19–9, 0–9 ng/mL for CEA, 0–35 U/mL for CA125, and 0–31.3 U/mL for CA15-3. The pathological grading was assessed according to the TNM staging system of the AJCC 7th edition based on imaging results and postoperative pathological examination. The status of Estrogen receptor (ER), progesterone receptor (PR), and HER2 were defined referencing to the results of immunohistochemistry (IHC). Patients with 2+IHC staining for HER2 need further use fluorescence in situ hybridization (FISH) to determine whether they were positive or negative. Survival duration was counted from the date of surgery, and overall survival was defined as the period until the day of death or the last follow-up date. The survival information was obtained by soliciting patients on the telephone or inquiring medical records. The last follow-up was in December 2019.
Statistical Analysis
Overall survival (OS) refers to the time from surgery to death because of any cause or the last follow-up. The patients’ characteristics were analyzed by descriptive statistics and crosstab. Chi-square analysis was also performed to count differences in categorical variables. By calculating the Youden index using the receiver operating characteristic (ROC) curve to define the cut-off threshold for plasma fibrinogen and CA19-9, the area under the curve (AUC) was used to calculate the ability to predict. Meanwhile, Cox proportional hazards regression methodology was used to conduct the univariate and multivariate analyses, whose consequence can reveal the effect of potential confounders on OS. Survival data was obtained using the Kaplan–Meier survival analysis with Log-rank test. The nomogram was conducted using the statistical package R (the R foundation; ). P<0.05 was deemed statistically significant. Data analysis was performed using GraphPad Prism 7 (GraphPad Software Inc., La Jolla, CA, USA) and SPSS version 26.0 (SPSS, Inc, Chicago, IL, USA) in this study.
Results
Patient Clinic Characteristics
In the light of the inclusion criteria, this study included 343 consecutive patients histopathological diagnosed with BC between 2010 and 2014 in The First Affiliated Hospital of Wenzhou Medical University. Detailed baseline characteristics of enrolled patients are shown in Table 1. The median follow-up time was 77 months (range=2–119 months), and death occurred 82 (23.9%) of the 343 BC patients. The median age was 45, 18.9% patients’ OS <60 (64 in 343). Approximately 91.8% of patients had invasive ductal carcinoma (315, 91.8%). In total, 175 cases of T1 (51%), 156 cases of T2 (45.5%), six cases of T3 (1.7%), and six cases of T4 (1.7%) stage were determined by postoperative pathology. Meanwhile, pathological N stage was 178 (51.9%), 125 (36.4%), 16 (4.7%), and 24 (7%) patients for N0, N1, N2, and N3 stage, respectively. Among the 343 patients, 110 (32.1%), 187 (54.5%), and 46 (13.4%) were classified as TNM stages I, II, and III, respectively. ER status was available for 95% of cases, with 204 ER-positive (59.5%), 122 ER-negative (35.6%), and 5% remained unknown. PR status varied from positive (169, 49.3%) to negative (158, 46.1%) to unknown (16, 4.7%). About 85 (24.8%) of all subjects are positive for HER2 status.
Table 1
Baseline Characteristics of 343 Non-Metastatic Breast Cancer Patients, n (%)
Characteristics
Patients (n=343)
Age (years)
≥60
75 (21.9)
<60
268 (78.1)
Clinical stage
I
110 (32.1)
II
187 (54.5)
III
46 (13.4)
T classification
T1
175 (51)
T2
156 (45.5)
T3
6 (1.7)
T4
6 (1.7)
N classification
N0
178 (51.9)
N1
125 (36.4)
N2
16 (4.7)
N3
24 (7)
Histopathological type
Invasive ducal carcinoma
315 (91.8)
Others
28 (8.2)
Estrogen receptor (ER)
Positive
214 (62.3)
Negative
127 (37.0)
Unknown
2 (0.7)
Progesterone receptor (PR)
Positive
177 (51.6)
Negative
165 (48.1)
Unknown
1 (0.3)
Human epidermal growth factor receptor type 2 (HER-2)
Positive
88 (25.7)
Negative
249 (72.6)
Unknown
6 (1.7)
Ki67
<14%
112 (32.6)
≥14%
226 (65.8)
Unknown
5 (14.6)
CEA (μg/L)
<5
293 (85.4)
≥5
33 (9.6)
Unknown
17 (5.0)
CA125 (U/mL)
<35
285 (83.1)
≥35
14 (4.1)
Unknown
44 (12.8)
CA15-3 (U/mL)
<31.3
298 (86.9)
≥31.3
14 (4.1)
Unknown
31 (9.0)
BMI
≥25
101 (29.4)
<25
242 (70.6)
Chemotherapy
Yes
302 (88)
No
41 (12)
Radiotherapy
Yes
47 (13.7)
No
296 (86.3)
Unknown
28 (8.2)
CA19-9 (U/mL)
<11.85
241 (70.3)
≥11.85
102 (29.7)
Fibrinogen concentration (g/L)
<2.805
161 (46.9)
≥2.805
182 (53.1)
Baseline Characteristics of 343 Non-Metastatic Breast Cancer Patients, n (%)
Correlations Between Plasma Fibrinogen and Clinicopathological Characteristics
The optimal cut-off value for plasma fibrinogen calculating by the ROC curve was 2.805 g/L (sensitivity of 0.659 and specificity of 0.51) (Figure 1A); the AUC was 0.589 (95% CI=0.516–0.661). Patients were classified into two groups according to the cut-off: group A, hyperfibrinogenemia ≥2.805 g/L, included 182 patients (53.1%); group B, hypofibrinogenemia <2.805 g/L, included 161 patients (46.9%) (Table 1). As shown in Table 2, an elevated plasma fibrinogen level was significantly correlated with age (P<0.001), HER2 status (P=0.029), CEA level (P=0.038), and ki67 (P=0.003).
Figure 1
Receiver operating characteristic (ROC) analysis based on fibrinogen (A) and CA19-9 (B). (A) In this model, the optimal cut-off value of plasma fibrinogen concentration was 2.805 g/L (sensitivity of 0.659 and specificity of 0.51), the area under the curve (AUC) was 0.589 (95% CI=0.516–0.661), (B) In this model, the optimal cut-off value of CA19-9 was 11.85 U/mL (sensitivity of 0.439 and specificity of 0.747), the area under the curve (AUC) was 0.594 (95% CI=0.521–0.667).
Table 2
Association Between Fibrinogen Concentration Level and Clinicopathological Characteristics in Breast Cancer Patients
Characteristics
Fibrinogen
P-value
<2.805 (n=161)
≥2.805 (n=182)
Age (years)
≥60
16
59
<0.001*
<60
145
123
Clinical stage
I
51
59
0.55
II
85
102
III
25
21
T classification
T1
87
88
0.165
T2
66
90
T3
5
1
T4
3
3
N classification
N0
77
101
0.451
N1
62
63
N2
8
8
N3
14
10
Histopathological type
Invasive ducal carcinoma
150
165
0.397
Others
11
17
Estrogen receptor (ER)
Positive
107
107
0.139
Negative
53
74
Progesterone receptor (PR)
Positive
93
84
0.036*
Negative
68
97
Human epidermal growth factor receptor type 2 (HER-2)
Positive
46
42
0.19
Negative
110
139
Ki67
<14%
64
48
0.009*
≥14%
95
131
CEA (μg/L)
<5
144
149
0.085
≥5
11
22
CA125 (U/mL)
<35
138
147
0.302
≥35
4
10
CA15-3 (U/mL)
<31.3
143
155
0.586
≥31.3
6
8
BMI
≥25
41
60
0.128
<25
120
122
Chemotherapy
Yes
141
161
0.801
No
20
21
Radiotherapy
Yes
28
19
0.062
No
133
163
CA19-9 (U/mL)
<11.85
111
50
0.615
≥11.85
130
52
Note: *P<0.05.
Association Between Fibrinogen Concentration Level and Clinicopathological Characteristics in Breast Cancer PatientsNote: *P<0.05.Receiver operating characteristic (ROC) analysis based on fibrinogen (A) and CA19-9 (B). (A) In this model, the optimal cut-off value of plasma fibrinogen concentration was 2.805 g/L (sensitivity of 0.659 and specificity of 0.51), the area under the curve (AUC) was 0.589 (95% CI=0.516–0.661), (B) In this model, the optimal cut-off value of CA19-9 was 11.85 U/mL (sensitivity of 0.439 and specificity of 0.747), the area under the curve (AUC) was 0.594 (95% CI=0.521–0.667).
Associations Between Preoperative CA19-9 and Clinicopathological Characteristics
The optimal cut-off value for CA19-9 intercepted from the ROC curve was 11.85 U/mL (sensitivity of 0.439 and specificity of 0.747) (Figure 1B); the AUC was 0.594 (95% CI= 0.521–0.667). Patients were classified into two groups according to the cut-off: group A, high CA19-9 level ≥11.85 U/mL, included 102 patients (29.7%); group B, low CA19-9 level <11.85 U/mL, included 241 patients (70.3%) (Table 1). Table 3 shows that the level of CA19-9 was significantly correlated with CEA level (P=0.042).
Table 3
Association Between CA19-9 and Clinicopathological Characteristics in Breast Cancer Patients
Characteristics
CA19-9
P-value
<11.85 (n=241)
≥11.85 (n=102)
Age (years)
≥60
53
80
0.931
<60
188
22
Clinical stage
I
77
33
0.841
II
130
57
III
34
12
T classification
T1
123
52
0.735
T2
111
45
T3
4
2
T4
3
3
N classification
N0
125
53
0.466
N1
86
39
N2
10
6
N3
20
4
Histopathological type
Invasive ducal carcinoma
223
92
0.47
Others
18
10
Estrogen receptor
Positive
156
58
0.187
Negative
84
43
Progesterone receptor
Positive
131
46
0.137
Negative
110
55
Human epidermal growth factor receptor type 2 (HER-2)
Positive
61
27
0.755
Negative
177
72
Ki67
<14%
84
28
0.222
≥14%
155
71
CEA (μg/L)
<5
210
83
0.042*
≥5
18
15
CA125 (U/mL)
<35
202
83
0.795
≥35
10
4
CA15-3 (U/mL)
<31.3
209
89
0.79
≥31.3
9
5
BMI
≥25
71
30
0.993
<25
170
72
Chemotherapy
Yes
214
88
0.51
No
27
14
Radiotherapy
Yes
32
15
0.725
No
209
87
Fibrinogen concentration (g/L)
<2.805
111
50
0.615
≥2.805
130
52
Note: *P<0.05.
Association Between CA19-9 and Clinicopathological Characteristics in Breast Cancer PatientsNote: *P<0.05.
Analysis of Prognostic Factor
The consequence of univariate COX analysis of OS suggested that Histopathological type (HR=0.453, 95% CI=0.246–0.837, P=0.011), CEA level (HR=1.389, 95% CI=1.065–1.812, P=0.015), CA19-9 level (HR=2.609, 95% CI=1.338–3.201, P=0.001), and plasma fibrinogen level (HR= 2.007, 95% CI: 1.27–3.174, P = 0.003) were associated with worse OS significantly (Table 4).The OS curve displayed by plasma fibrinogen level showed that non-distant metastatic breast cancer patients with lower level of plasma fibrinogen (< 2.805 g/L) had more favorable outcome than those with hyperfibrinogenemia (≥ 2.805 g/L) (Figure 2A). Furthermore, the OS curve displayed by CA19-9 showed that low CA19-9 level patients (< 11.85 U/mL) had longer survival time than those with high CA19-9 level (≥ 11.85 U/mL) (Figure 2B). Meanwhile, multivariate Cox regression analysis also showed that CA19-9 level (HR = 1.827, 95% CI: 1.135–2.942, P = 0.001) and plasma fibrinogen level (HR = 2.067, 95% CI: 1.332–3.207, P = 0.001) were both independent prognostic factors in non-distant metastatic breast cancer patients. (Table 5).
Table 4
Univariate Analysis of Overall Survival in Breast Cancer Patients
Characteristics
Univariate Analysis
P-value
Hazard Ratio
95% Confidence Interval
Age (years)
1.605
0.997
2.584
0.051
Clinical stage
(-)
0.52
I
II
III
T classification
(-)
0.29
T1
T2
T3
T4
N classification
(-)
0.705
N0
N1
N2
N3
Histopathological type
0.453
0.246
0.837
0.011*
Estrogen receptor (ER)
0.762
0.491
1.184
0.227
Progesterone receptor (PR)
0.778
0.504
1.2
0.256
Human epidermal growth factor receptor type 2 (HER-2)
0.844
0.504
1.415
0.52
Ki67
1.19
0.774
1.905
0.468
CEA (μg/L)
2.195
1.205
3.999
0.010*
CA125 (U/mL)
1.074
0.798
1.447
0.636
CA15-3 (U/mL)
0.987
0.774
1.258
0.914
BMI
0.861
0.54
1.37
0.527
Chemotherapy
1.169
0.619
2.206
0.63
Radiotherapy
1.701
0.784
3.691
0.179
CA19-9 (U/mL)
2.069
1.338
3.201
0.001*
Fibrinogen concentration (g/L)
2.007
1.27
3.174
0.003*
Note: *P<0.05.
Figure 2
Survival curve of the fibrinogen concentration (A) and CA19-9 level (B). (A) Data compares fibrinogen concentration ≥2.805 g/L vs <2.805 g/L group (P<0.05). (B) Data compares CA19-9 level ≥11.85 U/mL vs <11.85 U/mL (P<0.05).
Table 5
Multivariate Analysis of Overall Survival in Breast Cancer Patients
Characteristics
Multivariate Analysis
P-value
Hazard Ratio
95% Confidence Interval
AGE (y)
1.282
0.762
2.156
0.349
Histopathological type
0.583
0.297
1.144
0.117
CEA (μg/L)
1.635
0.885
3.021
0.117
CA19-9 (U/mL)
2.042
1.282
3.253
0.003*
Fibrinogen concentration (g/L)
2.016
1.216
3.342
0.007*
Note: *P<0.05.
Univariate Analysis of Overall Survival in Breast Cancer PatientsNote: *P<0.05.Multivariate Analysis of Overall Survival in Breast Cancer PatientsNote: *P<0.05.Survival curve of the fibrinogen concentration (A) and CA19-9 level (B). (A) Data compares fibrinogen concentration ≥2.805 g/L vs <2.805 g/L group (P<0.05). (B) Data compares CA19-9 level ≥11.85 U/mL vs <11.85 U/mL (P<0.05).
The Prognostic Ability of Combination of Plasma Fibrinogen and CA19-9
According to the above results, the level of plasma fibrinogen and CA19-9 could be independent prognostic factors in non-distant metastatic BC patients, but the problem we pointed out that the prognostic ability of the combination of fibrinogen and CA19-9 was not solved. The patients who own both hyperfibrinogenemia (≥ 2.805) and high CA19-9 (≥ 11.85) were allocated a score of 2, those with either hyperfibrinogenemia (≥ 2.805) or high CA19-9 (≥ 11.85) were allocated a score of 1, those with neither hyperfibrinogenemia (≥ 2.805) nor high CA19-9 (≥ 11.85) allocated a score of 0. The AUC of combination of fibrinogen and CA19-9 (AUC=0.640; 95% CI=0.571–0.71) (Figure 3) was higher than that of plasma fibrinogen (AUC=0.589; 95% CI=0.516–0.661) (Figure 1A), and that of CA19-9 (AUC=0.594; 95% CI=0.521–0.667) (Figure 1B). When the combination of plasma fibrinogen and CA19-9 added into Cox regression analysis, both univariate and multivariate Cox regression analyses of survival suggested that the combination of plasma fibrinogen and CA19-9 was valuable for predicting prognosis in non-distant metastatic BC patients after surgery (Table 6). Figure 4 shows the results of the OS curve. The above results show that the combination of plasma fibrinogen and CA19-9 could be an independent prognostic factor exceeding either plasma fibrinogen or CA19-9 alone.
Figure 3
Receiver operating characteristic curve analysis based on the combined fibrinogen and CA19-9 scoring system. The area under the curve (AUC) was 0.640 (95% CI=0.571–0.71) indicating the prognostic value of the combination of fibrinogen and CA19-9.
Table 6
Univariate and Multivariate Analysis of Overall Survival According to the Combination of Fibrinogen and CA19-9
Survival curve of combined fibrinogen and CA19-9 scoring system. The score 0 for fibrinogen concentration <2.805 g/L with CA19-9 level <11.85 U/mL group, score 1 for neither fibrinogen concentration ≥2.805 g/L or CA19-9 level ≥11.85 U/mL group, score 2 for fibrinogen concentration ≥2.805 g/L with CA19-9 level ≥11.85 U/mL group. Data compares the survival of above groups (P<0.005).
Univariate and Multivariate Analysis of Overall Survival According to the Combination of Fibrinogen and CA19-9Note: *P<0.05.Abbreviations: HR, harard ratio; 95% CI, 95% confidence interval.Receiver operating characteristic curve analysis based on the combined fibrinogen and CA19-9 scoring system. The area under the curve (AUC) was 0.640 (95% CI=0.571–0.71) indicating the prognostic value of the combination of fibrinogen and CA19-9.Survival curve of combined fibrinogen and CA19-9 scoring system. The score 0 for fibrinogen concentration <2.805 g/L with CA19-9 level <11.85 U/mL group, score 1 for neither fibrinogen concentration ≥2.805 g/L or CA19-9 level ≥11.85 U/mL group, score 2 for fibrinogen concentration ≥2.805 g/L with CA19-9 level ≥11.85 U/mL group. Data compares the survival of above groups (P<0.005).
Development and Validation of a Nomogram
Prognostic factors which were significantly associated with overall survival were used to conduct a nomogram to predict the 5-year OS in patients with non-distant metastatic BC, as shown in Figure 5. The AUC values were 0.724 (95% CI=0.648–0.769) for 5-year OS indicating the good predict ability of the nomogram, as shown in Figure 6.
Figure 5
Nomogram predicting 5-year overall survival in non-distant metastatic breast cancer patients. The score 0 for fibrinogen concentration <2.805 g/L with CA19-9 level <11.85 U/mL group, score 1 for neither fibrinogen concentration ≥2.805 g/L or CA19-9 level ≥11.85 U/mL group, score 2 for fibrinogen concentration ≥2.805 g/L with CA19-9 level ≥11.85 U/mL group.
Figure 6
Receiver operating characteristic curve analysis based on the Nomogram. The area under the curve (AUC) was 0.724 (95% CI=0.648–0.769) indicating the ability of the nomogram.
Nomogram predicting 5-year overall survival in non-distant metastatic breast cancer patients. The score 0 for fibrinogen concentration <2.805 g/L with CA19-9 level <11.85 U/mL group, score 1 for neither fibrinogen concentration ≥2.805 g/L or CA19-9 level ≥11.85 U/mL group, score 2 for fibrinogen concentration ≥2.805 g/L with CA19-9 level ≥11.85 U/mL group.Receiver operating characteristic curve analysis based on the Nomogram. The area under the curve (AUC) was 0.724 (95% CI=0.648–0.769) indicating the ability of the nomogram.
Discussion
Increasing incidence of BC brings about a heavy public health and economic burden. Currently, there are a number of articles studying the independent factors related to the prognosis of breast cancer. For example, the albumin-to-alkaline phosphatase ratio (AAPR) was proposed to be an independent prognostic factor, the preoperative AAPR value associates with the OS in non-distant metastatic breast cancer patients.23 Another norm, systemic inflammation response index (SIRI), was considered to a reliable predictor of OS to provide personalized prognostication for breast cancer patients.24 But there is still a lot of room for us to find indicators that are simpler and easier to practice clinically.In this article, the survival duration of 343 non-distant metastatic BC patients undergoing radical surgery was retrospectively analyzed, and the associations between preoperative plasma fibrinogen, CA19-9, and survival was investigated. According to our results, plasma fibrinogen and CA19-9 level were related to the survival of BC patients, when they were combined, the AUC was greater than either parameter alone. The above findings showed that the combination of fibrinogen and CA19-9 could be an independent predictor for OS in non-distant metastatic BC patients. Patients with hyperfibrinogenemia and high level of CA19-9 would have unfavorable overall survival. To the best of our knowledge, it was the first time to combine the plasma fibrinogen and CA19-9 to study their correlation with breast cancer prognosis. Exhilaratingly, we found that, when the plasma fibrinogen and CA19-9 were combined, the efficiency was better than those of a single index.The following biological mechanisms may explain the reason for the prognostic significance of plasma fibrinogen levels in BC patients. First, a previous study suggested that fibrinogen not only participates in wound healing, but also plays a role in the formation of tumor stroma under pathological conditions. The generation of tumor stroma both start with spillover of plasma fibrinogen, fibronectin, and plasminogen.25 Then fibrinogen converted to fibrin providing an initial matrix for the formation of the tumor stroma.26 Generated stroma furnishes connective tissue and new blood vessels which assist malignant tumor to absorb nutrients, grow, and spread.27 Second, fibrinogen can bind to aIIbβ3 integrin to mediate the aggregation of tumor cells and platelets to form microthrombi. The microthrombi can serve as a barrier to protect tumor cells from natural killer cell elimination.28 Third, the endothelial barrier permeability can be induced by VE-cadherin binding domain of fibrinogen, meanwhile, the transendothelial migration of malignant breast epithelial cells also increased.29Apart from the above mechanism research, many scholars have also done reports on fibrinogen and solid cancer prognosis, such as colorectal, lung cancer.30,31 As far as we know, there are several studies to explore the prognostic significance of plasma fibrinogen in BC patients. Mei et al19 posed elevated level of preoperative plasma fibrinogen was associated with poor prognosis in operable BC patients (HR=1.475, 95% CI=1.177–1.848, P=0.001). The cut-off value of fibrinogen they found was 2.83, while the AUC value was 0.595 (95% CI=0.560–0.630). In line with our findings, the optimal cut-off value of fibrinogen was 2.805, the AUC value was 0.589 (95% CI=0.516–0.661). The result we obtained was similar to their findings. Another paper found that the risk of death in BC patients with elevated plasma fibrinogen (>2.83 g/L) levels was 1.475 times those with low fibrinogen levels.32 There was also a study suggesting that preoperative plasma fibrinogen level associates with disease specific survival in breast cancer patients (HR=1.71; 95% CI= 1.02–2.85; P=0.042).33 Based on the above mechanism and case studies, we have reason to believe that fibrinogen can indeed indicate the prognosis of BC.As for CA19-9, it was first reported by Koprowski et al34 that CA19-9 was a carbohydrate tumor-associated antigen which could isolate from a human colorectal cancer cell line. Since 1979, CA19-9 has become an important tumor marker in various cancers, especially in pancreatic cancer.35 Nowadays, CA19-9 has also been used in early breast cancer diagnosis.36 It is worth noting that an increase of CA19-9 could be regarded as a sign of Ileocecal valve metastasis from BC.37 In this study, our survival analysis of CA19-9 showed that the patients with low CA19-9 level (<11.85 U/mL) had longer survival time. Perhaps the increase of CA19-9 after surgery may indicate distant metastasis of breast cancer in the future, especially related to digestive tract metastasis, which needs more research to verify.All in all, fibrinogen and CA19-9 are convenient to get via routine preoperative laboratory tests, and could easily be applied in clinical practice to predict the prognosis of BC patients. The nomogram we performed may easily be applied in clinical practice to predict the overall survival in non-distant metastatic BC patients. However, more related studies are warranted to validate these conclusions.This study is the first to analyze the prognostic value of the combination of plasma fibrinogen and CA19-9. Inevitably, there were many limitations existing: 1) Our study was a single center study, meanwhile our sample size was small, the conclusions may be biased. 2) The combination of plasma and CA19-9 has been shown to be an independent prognostic factor of non-distant metastatic BC; however, the outcome of sensitivity and specificity are not good, and further studies are needed to measure the correct cut-off value. 3) This is a retrospective study and we did not explore the molecular mechanisms.
Conclusion
In conclusion, the present study showed that BC patients who had both hyperfibrinogenemia and high CA19-9 had short OS. Therefore, the combination of plasma fibrinogen and CA19-9 could be used as a valid independent prognostic factor for non-distant metastatic BC compared with either parameter alone and could easily be applied in clinical practice.
Authors: V Seebacher; S Polterauer; C Grimm; H Husslein; H Leipold; K Hefler-Frischmuth; C Tempfer; A Reinthaller; L Hefler Journal: Br J Cancer Date: 2010-02-16 Impact factor: 7.640
Authors: B Ghanim; M A Hoda; T Klikovits; M-P Winter; A Alimohammadi; M Grusch; B Dome; M Arns; P Schenk; M Jakopovic; M Samarzija; L Brcic; M Filipits; V Laszlo; W Klepetko; W Berger; B Hegedus Journal: Br J Cancer Date: 2014-01-16 Impact factor: 7.640