J Cancer 2024; 15(18):5968-5977. doi:10.7150/jca.100674 This issue Cite

Research Paper

Predictive Value of Preoperative Fibrinogen and Albumin Score (FA Score) for Prognosis and Chemotherapeutic Efficacy in Resected Colorectal Cancer: A Retrospective Cohort Study

Bang An2†, Tong Liu1†, Xiao Li1 Corresponding address

1. Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong Province, China.
2. Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan Central Hospital, Jinan 250013, Shandong Province, China.
†These authors contributed equally to this study.

Citation:
An B, Liu T, Li X. Predictive Value of Preoperative Fibrinogen and Albumin Score (FA Score) for Prognosis and Chemotherapeutic Efficacy in Resected Colorectal Cancer: A Retrospective Cohort Study. J Cancer 2024; 15(18):5968-5977. doi:10.7150/jca.100674. https://www.jcancer.org/v15p5968.htm
Other styles

File import instruction

Abstract

Graphic abstract

Background: Limited research elucidated the role of preoperative fibrinogen and albumin (FA) score in colorectal cancer (CRC). We aimed to clarify the predictive value of FA score for prognosis and chemotherapeutic efficacy in CRC patients who underwent curative resection.

Materials and Methods: Patients' clinicopathological parameters of 735 cases of resected CRC were recruited retrospectively. Optimal cut-off values of the preoperative plasma fibrinogen (F) and albumin (A) were confirmed by receiver operating characteristic (ROC) curves. Patients were categorized into three groups based on the FA score, and were further divided into a chemotherapy group and a non-chemotherapy group. Correlations between FA score and clinicopathological features, as well as overall survival (OS), cancer-specific survival (CSS) and disease-free survival (DFS) were assessed with Kaplan-Meier (KM) survival method, univariate and multivariate Cox proportional hazard models, and subgroup analyses.

Results: The Kaplan-Meier survival curves revealed that higher FA score could predict poorer OS and CSS (P<0.001). Multivariate analyses revealed that FA score was an independent prognostic factor for OS (P=0.037). In addition, subgroup analyses based on the histological feature and primary tumor location showed that elevated FA score was significantly associated with worse OS, CSS and DFS (all, P<0.05) in patients with non-mucinous colorectal adenocarcinoma and rectal cancer (RECC). Subgroup analyses based on the TNM stage showed that elevated FA score was significantly associated with worse OS, CSS (all, P<0.05) in patients with TNM stage II tumors. Furthermore, chemotherapy could benefit the OS and CSS in TNM stage III CRC patients with FA score 1 and 2 (all, P<0.05).

Conclusion: The preoperative FA score is an independent prognostic factor for CRC patients who underwent curative resection and may help predict the responses to chemotherapy in clinical practice. FA score may serve as a complementary to the TNM staging system to identify high-risk patients.

Keywords: colorectal cancer, fibrinogen, albumin, prognosis, chemotherapeutic efficacy

Introduction

Colorectal cancer (CRC) is the third most common malignancies and the second leading cause of cancer-related death worldwide [1]. CRC also has the fifth highest incidence and the fifth highest mortality rate in China [2]. For early-stage CRCs, curative surgery remains the mainstay treatment strategy; while for patients with stage III and high-risk stage II CRCs, adjuvant chemotherapy is strongly recommended [3, 4]. Despite of the dramatic progress achieved in diagnosis, surgical procedures, neoadjuvant and adjuvant therapies in decades, a majority of CRC patients were diagnosed with metastasis and the 5-year survival rate remains relatively poor [5]. Therefore, there is an urgent need to seek for novel, stable, effective and economical predictors to evaluate the survival time and chemotherapy efficacy after surgery.

Accumulating evidence indicates that cancer-related systemic inflammation [6, 7], hemostatic factors [8] and nutritional deficiencies [9] might facilitate the tumorigenesis and progression of various malignancies. Recently, several inflammation-based indicators have been demonstrated to be crucial for the aggressiveness and poor prognosis of CRC, including the neutrophil-lymphocyte ratio [10], the combined fibrinogen and neutrophil-lymphocyte-ratio (F-NLR) [11], the Glasgow Prognostic Score (GPS) [12] and the systemic immune-inflammation index (SII) [13]. On the other hand, previous studies have indicated that elevated plasma fibrinogen level [14] and decreased serum albumin level [15] are associated with poor outcomes in patients with CRC.

Recent studies have emphasized that the FA score, combination of the fibrinogen (F) and albumin (A), was an effective predictor for the prognosis of various carcinomas, such as esophageal cancer [16], gastric cancer [17], non-small cell lung cancer [18], WHO Grade II/III Gliomas [19] and epithelial ovarian cancer [20]. However, to the best of our knowledge, the predictive value of FA score for the prognosis and chemotherapeutic efficacy in CRC patients still needs to be fully elucidated. Thus, we decided to investigate the prognostic and predictive value of FA score in a cohort of Chinese CRC patients who underwent curative resection in the present study.

Materials and Methods

Patients

A total of 735 CRC patients who underwent radical resection at Shandong Provincial Hospital Affiliated to Shandong First Medical University between Jan 2009 and July 2016 were recruited retrospectively. Patients enrolled in the research met the following enrollment criteria: (1) first diagnosed and pathologically confirmed primary CRC; (2) radical surgery without preoperative neoadjuvant chemotherapy or radiotherapy; (3) complete resection without positive margins; (4) intact medical data and follow-up record (more than 2 months). Patients were excluded from the study if they: (1) had preexisting liver diseases, chronic renal failure, hematological disorders, autoimmune diseases, recent infection, or other malignancies; (2) received immunosuppressive, anti-inflammatory, or anticoagulation treatment; (3) had a recent history of venous thrombosis or blood transfusion.

Data collection

Patients' clinical baseline features were collected from medical records: age, gender, smoking, drinking, morphology, histological type, differentiation, primary tumor location, tumor size, venous invasion, perineural invasion (PNI), tumor deposits (TDs), N stage, TNM stage, chemotherapy treatment, preoperative plasma fibrinogen, serum albumin, carcinoembryonic antigen (CEA) and cancer antigen 19-9 (CA19-9). The TNM stage was classified by the seventh edition of the American Joint Committee on Cancer (AJCC) staging manual [21].

FA score measurement

Preoperative plasma fibrinogen and serum albumin levels were extracted to evaluate the FA score. The optimal cut-off values of fibrinogen and albumin were determined by the receiver operating characteristic (ROC) analysis based on the maximization of the Youden index. The cut-off values were 3.615 for fibrinogen and 41.550 g/L for albumin, respectively (Figure 1). The area under the curve (AUC) values were 0.5827 for fibrinogen and 0.5748 for albumin, respectively (Figure 1). The FA score was defined as follows: patients with an elevated fibrinogen and a decreased albumin were allocated a score of 2, those with only one of these abnormalities were assigned a score of 1, and those with neither of them were classified as a score of 0.

Follow up

The overall survival (OS), cancer-specific survival (CSS) and disease-free survival (DFS) were selected as primary endpoints. The OS was measured from the date of surgery to the date of death. The CSS was defined as the time between the date of surgery and the date of cancer-related death. The DFS was defined as the interval between the date of surgery and the time of progression or relapse or the end of life. The median duration of follow-up was 30.47months (range: 3-102 months).

Statistical analysis

All analyses were performed using the R software version 4.1.1. The optimal cut-off values for F and A were calculated with ROC analysis. The relationships among the FA score and other clinicopathological parameters were compared by chi-square test (χ²) test or the Fisher's exact test. The survival outcomes were compared using the Kaplan-Meier method, the log-rank test, the univariate and multivariate Cox proportional hazards model, and subset analysis. In the univariate analysis, variables with a P-value <0.1 were chosen to construct the multivariate Cox proportional hazards regression model. A two-sided P<0.05 was considered statistically significant.

Results

Patients' baseline characteristics

As presented in Table 1, a total of 735 resected CRC patients (63.95% male and 36.05% female) were enrolled in the present research. Primary tumors were located at left colon, right colon and rectum in 21.50%, 15.51% and 62.99% of the patients, respectively. Of all the patients, 612 (83.27%) tumors were adenocarcinoma and the remaining 123 (16.73%) tumors were mucinous adenocarcinoma. Approximately 40.41% of the patients were older than 60 years old; 19.86% and 16.87% of the patients had a history of smoking and drinking, separately; 39.18% had smaller tumor size; and 80.0% received postoperative adjuvant chemotherapy. Pathological stage (TNM stage) was I/ II/ III in 9.66%, 39.18% and 51.16% of the patients, respectively. Patients with the expansive, infiltrative, ulcerative and complex morphological type accounted for 16.60%, 2.99%, 78.91% and 1.50%, respectively.

Patients were further divided into three groups based on the FA score, of which 165 patients had a FA score of 0, 399 patients had a FA score of 1 and the remaining 171 patients had a FA score of 2. The relationship between FA score and clinicopathological features was also shown in Table 1. The results showed no significant differences between FA score 0, 1 and 2 groups in smoking, drinking, morphology, histology, differentiation, venous invasion, perineural invasion, tumor deposits, T stage, N stage and chemotherapy (all, P > 0.05). However, significant differences were identified among different FA score groups in terms of gender (P = 0.0325), age (P < 0.0001), CEA (P = 0.0096), TNM stage (P = 0.0032), primary tumor location (P < 0.0001) and tumor size (P < 0.0001) (Table 1).

Univariate and multivariate survival analyses

The results of univariate and multivariate analyses for OS were summarized in Table 2. By univariate analysis, following variables were found to be associated with worse OS in patients with CRC: older age, positive venous invasion, positive perineural invasion, positive tumor deposits, higher T stage, higher N stage and higher FA score (all, P < 0.1). Multivariate analysis was conducted by controlling for these cofounders. Results revealed that the age (P=0.036), T stage (P=0.028), N stage (P<0.001) and FA score (P=0.037) were independent prognostic factors for OS. In addition, a higher FA score was significantly associated with worse prognosis.

 Table 1 

Comparison of demographic and clinicopathological parameters between patients with different FA score.

FeaturesFA scoreOverallP*
0 (n=165)1 (n=399)2 (n=171)(N=735)
Gender (%)0.0325
Female48 (29.09)160 (40.10)57 (33.33)265 (36.05)
Male117 (70.91)239 (59.90)114 (66.67)470 (63.95)
Age (%)<0.0001
≤60125 (75.76)227 (56.89)86 (50.29)438 (59.59)
>6040 (24.24)172 (43.11)85 (49.71)297 (40.41)
Smoking (%)0.9195
No134 (81.21)319 (79.95)136 (79.53)589 (80.14)
Yes31 (18.79)80 (20.05)35 (20.47)146 (19.86)
Drinking (%)0.4745
No132 (80.00)335 (83.96)144 (84.21)611 (83.13)
Yes33 (20.00)64 (16.04)27 (15.79)124 (16.87)
Location (%)<0.0001
LCC44 (26.67)73 (18.30)41 (23.98)158 (21.50)
RCC8 (4.85)58 (14.54)48 (28.07)114 (15.51)
RECC113 (68.48)268 (67.17)82 (47.95)463 (62.99)
Tumor size (%)<0.0001
≤4cm86 (52.12)167 (41.85)35 (20.47)288 (39.18)
>4cm70 (42.42)221 (55.39)121 (70.76)412 (56.05)
Unknown9 (5.45)11 (2.76)15 (8.77)35 (4.76)
Morphological type (%)0.4163
Expansive27 (16.36)66 (16.54)29 (16.96)122 (16.60)
Infiltrative1 (0.61)15 (3.76)6 (3.51)22 (2.99)
Ulcerative135 (81.82)313 (78.45)132 (77.19)580 (78.91)
Complex2 (1.21)5 (1.25)4 (2.34)11 (1.50)
Histological type (%)0.119
Non- mucinous145 (87.88)331 (82.96)136 (79.53)612 (83.27)
Mucinous20 (12.12)68 (17.04)35 (20.47)123 (16.73)
Differentiation (%)0.0909
Well3 (1.82)14 (3.51)3 (1.75)20 (2.72)
Moderate128 (77.58)290 (72.68)112 (65.50)530 (72.11)
Poor19 (11.52)65 (16.29)35 (20.47)119 (16.19)
Unknown15 (9.09)30 (7.52)21 (12.28)66 (8.98)
Venous invasion (%)0.5692
Negative160 (96.97)380 (95.24)162 (94.74)702 (95.51)
Positive5 (3.03)19 (4.76)9 (5.26)33 (4.49)
Perineural invasion (%)0.2344
Negative161 (97.58)385 (96.49)161 (94.15)707 (96.19)
Positive4 (2.42)14 (3.51)10 (5.85)28 (3.81)
Tumor deposits (%)0.7826
Absent156 (94.55)382 (95.74)162 (94.74)700 (95.24)
Present9 (5.45)17 (4.26)9 (5.26)35 (4.76)
T stage (%)0.0905
14 (2.42)12 (3.01)2 (1.17)18 (2.45)
224 (14.55)43 (10.78)9 (5.26)76 (10.34)
346 (27.88)100 (25.06)50 (29.24)196 (26.67)
491 (55.15)244 (61.15)110 (64.33)445 (60.54)
N stage (%)0.9943
079 (47.88)197 (49.37)83 (48.54)359 (48.84)
147 (28.48)107 (26.82)46 (26.90)200 (27.21)
239 (23.64)95 (23.81)42 (24.56)176 (23.95)
TNM stage (%)0.0032
122 (13.33)45 (11.28)4 (2.34)71 (9.66)
258 (35.15)151 (37.84)79 (46.20)288 (39.18)
385 (51.52)203 (50.88)88 (51.46)376 (51.16)
Chemotherapy (%)0.1448
No30 (18.18)90 (22.56)27 (15.79)147 (20.00)
Yes135 (81.82)309 (77.44)144 (84.21)588 (80.00)

Notes: *P-values were calculated by the χ2-test or the Fisher's exact test. The P-value for significance was <0.05.

Abbreviations: LCC, left colon cancer; RCC, right colon cancer; RECC, rectal cancer; CEA, carcinoembryonic antigen; CA19-9, cancer antigen 19-9.

The results of univariate and multivariate analyses for CSS were presented in Table 3. The age (P=0.018), primary tumor location (P=0.033 for the comparation of RCC and LCC), venous invasion (P=0.002), perineural invasion (P=0.004), tumor deposits (P=0.004), T stage (P<0.001), N stage (P<0.001) and FA score (P=0.007) were associated with CSS in the univariate analysis. Multivariate analysis demonstrated that the age (P=0.033), primary tumor location (P=0.047 for the comparation of RCC and LCC), T stage (P=0.008), N stage (P<0.001) were independent prognostic factors for CSS.

The results of univariate and multivariate analyses for DFS were shown in Table 4. By univariate analysis, LCC, negative venous invasion, negative perineural invasion, absence of tumor deposits, lower T stage, lower N stage, non-chemotherapy and lower FA score were associated with better DFS in patients with CRC (all, P < 0.1). Multivariate analysis after controlling for these variables revealed that the primary tumor location, perineural invasion, tumor deposits, N stage were independent prognostic factors for DFS (all, P < 0.05).

Kaplan-Meier survival analyses

In Figure 2A, the Kaplan-Meier survival curves for OS revealed that the FA score could predict the OS of CRC patients (P = 0.0083). Further subgroup analyses were performed to investigate the prognostic value of FA score in CRC patients with different histological types, primary tumor locations and TNM stages. As shown in Figure 2B-D, the FA score could indicate prognosis in CRC patients with non-mucinous adenocarcinoma (P = 0.0093), rectal cancer (RECC) (P = 0.012) and TNM stage II tumors (P = 0.0015).

 Table 2 

Univariate and multivariate Cox analyses of OS in CRC patients.

Univariate analysisMultivariate analysis*
HRP95% CIHRP95% CI
Gender (male/female)1.070.6920.76-1.5
Age (≤60/>60)0.710.0380.51-0.980.700.0360.50-0.98
Smoking1.210.3590.81-1.81
Drinking1.290.2180.86-1.92
Location
RCC/LCC1.520.1180.9-2.55
RECC/LCC1.130.5670.74-1.72
Size (≤4/>4 cm)0.890.5070.62-1.26
Morphological type
expansive/complex0.630.4440.19-2.08
infiltrative/complex1.450.5850.38-5.46
ulcerative/complex0.580.3480.18-1.82
Histology (muc/non)1.280.2310.86-1.91
Differentiation
moderate/well0.720.4710.29-1.77
poor/well1.000.9980.38-2.59
Venous invasion2.140.0091.21-3.791.260.4600.68-2.33
Perineural invasion2.450.011.24-4.831.450.3250.69-3.02
Tumor deposits2.010.021.12-3.641.420.2520.78-2.59
T stage1.580.0011.21-2.071.350.0281.03-1.77
N stage1.75<0.0011.44-2.121.64<0.0011.34-2.02
Chemotherapy0.820.3330.55-1.23
FA score1.460.0021.15-1.851.300.0371.02-1.66
1/01.550.0760.95-2.511.490.1140.91-2.43
2/02.170.0031.3-3.621.760.0341.04-2.99
2/11.400.0650.98-2.011.190.3580.82-1.71

Notes: *Variables with a p-value <0.1 in univariate analysis were enrolled in a multivariate Cox proportional hazards regression model.

Abbreviations: OS, overall survival; CRC, colorectal cancer; RCC, right colon cancer; LCC, left colon cancer; RECC, rectal cancer; muc, mucinous; non, non-mucinous; F, fibrinogen; A, albumin.

 Figure 1 

ROC curves to assess the predictive value of plasma fibrinogen and albumin. Notes: The cut-off values were 3.615 for fibrinogen and 41.550 g/L for albumin, respectively. The AUC values were 0.5827 for fibrinogen and 0.5748 for albumin, respectively. Abbreviations: FIB, fibrinogen; ALB, albumin; ROC, receiver operating characteristic. AUC, area under the curve.

J Cancer Image
 Figure 2 

Kaplan-Meier survival curves for OS according to the FA score (A) and subgroup analysis based on histological features (B) and primary tumor location (C) and TNM stage (D). Abbreviations: FA score, combined fibrinogen and albumin; OS, overall survival.

J Cancer Image
 Table 3 

Univariate and multivariate Cox analyses of CSS in CRC patients.

Univariate analysisMultivariate analysis*
HRP95% CIHRP95% CI
Gender (male/female)1.170.4320.79-1.73
Age (≤60/>60)0.640.0180.44-0.930.650.0330.44-0.97
Smoking1.160.5320.73-1.85
Drinking1.310.2450.83-2.08
Location
RCC/LCC1.860.0331.05-3.281.820.0471.01-3.30
RECC/LCC1.040.8690.64-1.71.180.5180.71-1.95
Size (≤4/>4 cm)0.960.8350.64-1.44
Morphological type
expansive/complex0.470.2290.14-1.61
infiltrative/complex1.270.7290.33-4.92
ulcerative/complex0.430.150.13-1.36
Histology (muc/non)1.230.3770.77-1.97
Differentiation
moderate/well0.690.4740.25-1.9
poor/well0.930.9010.32-2.73
Venous invasion2.630.0021.44-4.811.540.2040.79-2.99
Perineural invasion2.890.0041.4-5.961.740.1800.77-3.90
Tumor deposits2.50.0041.34-4.661.600.1540.84-3.06
T stage1.91<0.0011.36-2.671.600.0081.13-2.28
N stage1.73<0.0011.39-2.161.59<0.0011.24-2.02
Chemotherapy0.850.5060.53-1.36
FA score1.460.0071.11-1.931.200.2150.90-1.61
1/01.680.0740.95-2.961.470.1930.82-2.64
2/02.250.0081.24-4.111.560.1710.83-2.93
2/11.340.1620.89-2.031.060.8030.69-1.62

Notes: *Variables with a p-value <0.1 in univariate analysis were enrolled in a multivariate Cox proportional hazards regression model.

Abbreviations: CSS, cancer specific survival; CRC, colorectal cancer; RCC, right colon cancer; LCC, left colon cancer; RECC, rectal cancer; muc, mucinous; non, non-mucinous; F, fibrinogen; A, albumin.

In Figure 3A, we found that the FA score could predict the CSS of CRC patients (P = 0.025). Further subgroup analyses base on different histological types, primary tumor locations and TNM stages were performed. As shown in Figure 3B-D, patients with a higher FA score had a worse cancer-specific survival, especially in patients with non-mucinous adenocarcinoma (P = 0.032), RECC (P = 0.049) and TNM stage 2 tumors (P = 0.0015).

In Figure 4A, it was observed that patients with a higher FA score might have a higher possibility of regression or metastasis, although the P value was slightly above 0.05 (P = 0.057). Further subgroup analyses revealed that the FA score could predict DFS in CRC patients with non-mucinous adenocarcinoma (P = 0.012) and RECC (P = 0.0055) (Figure 4B-D).

FA score as a predictive factor for chemotherapeutic effectiveness in TNM stage III CRC patients

Patients were further divided into a chemotherapy group and a non-chemotherapy group based on whether they received post-operative chemotherapy or not. The Kaplan-Meier survival curves revealed that for TNM stage III CRC patients, the OS of FA score 1 and 2 groups could be lengthened significantly after the administration of chemotherapy (Figure 5A, P < 0.001). Similarly, chemotherapy could benefit the CSS in TNM stage III CRC patients with FA score 1 and 2 (Figure 5B, P = 0.0019 and P < 0.001, respectively).

 Table 4 

Univariate and multivariate Cox analyses of DFS in CRC patients.

Univariate analysisMultivariate analysis*
HRP95% CIHRP95% CI
Gender (male/female)1.130.3390.88-1.45
Age (≤60/>60)0.990.9650.78-1.27
Smoking1.050.7320.78-1.42
Drinking1.210.2110.9-1.64
Location
RCC/LCC1.750.0071.17-2.621.790.0051.19-2.70
RECC/LCC1.510.0141.09-2.091.480.0231.05-2.07
Size (≤4/>4 cm)0.940.6340.73-1.21
Morphological type
expansive/complex0.490.1060.21-1.16
infiltrative/complex1.230.670.47-3.21
ulcerative/complex0.570.1790.25-1.29
Histology (muc/non)1.080.6260.79-1.47
Differentiation
moderate/well1.460.4020.6-3.55
poor/well2.030.1320.81-5.07
Venous invasion1.880.0081.18-31.150.5690.70-1.89
Perineural invasion3.1<0.0011.98-4.861.950.0081.19-3.18
Tumor deposits2.76<0.0011.83-4.171.930.0031.25-2.98
T stage1.220.0191.03-1.451.030.7120.86-1.24
N stage1.63<0.0011.42-1.881.52<0.0011.30-1.77
Chemotherapy1.370.0541-1.891.050.7880.75-1.46
FA score1.210.0331.02-1.441.120.2020.94-1.34
1/01.060.7020.78-1.451.050.7710.76-1.44
2/01.430.0411.01-2.011.250.2200.88-1.78
2/11.340.0351.02-1.771.190.2290.90-1.58

Notes: *Variables with a p-value <0.1 in univariate analysis were enrolled in a multivariate Cox proportional hazards regression model.

Abbreviations: DFS, disease free survival; CRC, colorectal cancer; RCC, right colon cancer; LCC, left colon cancer; RECC, rectal cancer; muc, mucinous; non, non-mucinous; F, fibrinogen; A, albumin.

Discussion

Inflammation has been convincingly considered as one of the most important hallmarks of cancer [22]. Growing evidence shows that systemic inflammation response participates in the initiation, development and progression of several malignancies [23-26]. Therefore, a series of inflammation-based index systems, including SII [27], GPS [28], lymphocyte-monocyte-ratio (LMR) [29, 30], prognostic nutritional index (PNI) [31] and C-reactive protein/albumin ratio (CAR) [32], have been reported to predict the prognosis in a variety of tumors. The FA score, as a novel inflammation-based marker, was proposed and reported to have prognostic power in several types of cancers [16-20].

 Figure 3 

Kaplan-Meier survival curves for CSS according to the FA score (A) and subgroup analysis based on histological features (B) and primary tumor location (C) and TNM stage (D). Abbreviations: FA score, combined fibrinogen and albumin; CSS, cancer-specific survival.

J Cancer Image
 Figure 4 

Kaplan-Meier survival curves for DFS according to the FA score (A) and subgroup analysis based on histological features (B) and primary tumor location (C) and TNM stage (D). Abbreviations: FA score, combined fibrinogen and albumin; DFS, disease-free survival.

J Cancer Image
 Figure 5 

Kaplan-Meier survival curves based on chemotherapy or not in patients with different TNM stages and FA scores. (A) OS. (B) CSS. (C) DFS. Abbreviations: FA score, combined fibrinogen and albumin; OS, overall survival; CSS, cancer-specific survival; DFS, disease-free survival.

J Cancer Image

Plasma fibrinogen, which is well-known as a coagulation-related protein, is also considered to be involved in the angiogenesis, proliferation, migration and metastasis of tumor cells by directly binding to members of the vascular endothelial growth factor (VEGF), fibroblast growth factor (FGF), transforming growth factor β (TGF-β), and platelet derived growth factor (PDGF) families [33], thus regulating the inflammatory status and cancer progression [34]. An increasing number of researches have shown that elevated level of plasma fibrinogen is a strong predictor of malignancy and is correlated with unfavorable outcomes in several solid tumors, including ovarian cancer and cholangiocarcinoma [35-37]. Furthermore, hyperfibrinogen was associated with poor prognosis and advanced tumor stage in colorectal cancer [38].

Serum Albumin is commonly used as a parameter to reflect nutritional status. In tumor patients, the most important reason for the reduction of albumin concentration is not the synthesis disorder or accelerated transcapillary leakage rates, but the increasing degradation of albumin, secondary to systemic inflammatory responses to the host [39]. It was demonstrated that proinflammatory cytokines released by tumor tissue and related inflammatory cells, such as IL-4 and IL-6, could affect the synthesis of albumin in hepatocytes, thus decreasing albumin levels [40]. Therefore, albumin levels could also implicate inflammatory response. The clinical effect of hypoalbuminemia on colorectal cancer has also been investigated. In research of 431 patients with curative colorectal cancer, serum albumin level was identified as a reliable prognostic marker for survival [41].

Therefore, the FA score, as an integrated index based on the plasma fibrinogen and albumin, reflects the preoperative inflammatory responses of hosts to tumors and the alterations in the cancer microenvironment. We hypothesized that FA score could favor the cancer initiation, progression and metastasis. Thus, we performed the present study to assess the prognostic and predictive value of FA score in patients with resectable CRC.

In the present study, interesting associations between the FA score and clinicopathological characteristics were observed. FA score was associated with age, size, TNM stage and CEA level, supporting the above-mentioned hypothesis that the elevated FA score might favor tumor proliferation, invasion and metastasis. Univariate and multivariate analyses revealed that the FA score, T stage and N stage were independent risk factors for OS in resectable CRC patients. In addition, subgroup analyses based on the histological type and location revealed that the elevated FA score was correlated with poor OS, CSS and DFS in patients with colorectal non-mucinous adenocarcinoma and RECC. Subgroup analyses based on TNM stage revealed that the elevated FA score was correlated with poor OS and CSS in TNM II CRC patients. Furthermore, for TNM III CRC patients, elevated FA score may have better OS and CSS from the administration of chemotherapy.

To date, the TNM staging system is still the gold standard for doctors to predict the prognosis and select the treatment regimen for various types of malignancies. However, as the TNM staging system only reflects the pathological features of resected tumors after surgery, preoperative survival prediction and decision-making for further treatment was relatively difficult. Our findings noted the preoperative FA score as a novel clinical and prognostic biomarker for resectable CRC patients. Thus, as a simple, cheap, easy-acquired and convenient parameter in clinical practice, FA score may serve as a complementary to the TNM staging system to identify high-risk patients among patients with the same TNM stage. The FA score may help doctors to perform more careful surgeries and conduct more rigorous follow-up for these patients.

As we all know, the Liverpool score system which integrates the measurement of systemic inflammatory response and location of the primary tumor, is widely used for predicting the prognosis in patients with colorectal liver metastases [42]. Compared with the Liverpool score system, the FA score system was easier to obtain and calculate, thus convenient for application. Additionally, the FA score could be used for predicting the prognosis and chemotherapy efficacy for CRC patients without liver metastasis. However, many other clinicopathological variables were not included and patients with liver metastasis were not applicable. In the future research, the FA score system could be investigated in colorectal liver metastases and thus might be effectively integrated into the Liverpool score system, which could be helpful for peri-operative management of high-risk patients.

To the best of our knowledge, this was the first research investigating the predictive value of FA score in prognosis and chemotherapeutic efficacy in patients with resected CRC. However, several limitations in the present study should be carefully considered. First of all, as a single-institution study in China, the total sample size was relatively small and the population diversity was relatively limited. Second, selection bias and collection mistakes could not be totally avoided due to the retrospective nature of the study. Third, the specific chemotherapy regimens were not investigated. Forth, the median follow-up time was shorter than 3 years, which was not sufficiently long. Fifth, the FA score at the time of pretreatment was evaluated, without taking into consideration of changes during treatment. Sixth, the AUC values for fibrinogen and albumin were slightly more than 0.5, which presented a relatively lower accuracy. Last but not least, only CRC patients who received curative surgery were included. Thus, the findings of this study might not be applicable for CRC patients in other countries or metastatic CRC. Therefore, a multi-center, large-scaled and prospective investigation is required to verify and update our conclusions in the future.

Conclusion

In conclusion, the present study demonstrated the predictive value of the preoperative FA score in the prognosis and chemotherapeutic efficacy in patients with resected colorectal cancer. Patients with a higher FA score indicated higher risks of mortality. For TNM stage III CRC patients, chemotherapy might benefit the survival for patients with FA score 1 and 2. Therefore, FA score may serve as a complementary to the TNM staging system to identify high-risk patients who should receive more careful surgeries and post-operative chemotherapy.

Acknowledgements

Funding

The present study was supported by the Natural Science Foundation of Shandong Province, No. ZR2020QH226 and No. ZR2020QH033. All authors read and approved the content of the manuscript.

Availability of data and material

The datasets analyzed during the current study are not publicly available due to patient privacy concerns, but are available from the corresponding author on reasonable request.

Ethics approval

The study protocol was approved by the medical ethics committee of Shandong Provincial Hospital Affiliated to Shandong First Medical University and conducted in accordance with the Declaration of Helsinki.

Author contributions

Bang An and Tong Liu contributed equally to this study. All authors involved contributed toward research design, data collection, data analysis, drafting and revising the paper. All authors read and approved the content of the manuscript.

Competing Interests

The authors have declared that no competing interest exists.

References

1. Bray F, Ferlay J, Soerjomataram I. et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394-424

2. Chen W, Zheng R, Baade PD. et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66:115-32

3. Ferlay J, Soerjomataram I, Dikshit R. et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359-86

4. Jonker DJ, Spithoff K, Maroun J. Adjuvant systemic chemotherapy for Stage II and III colon cancer after complete resection: an updated practice guideline. Clin Oncol. 2011;23:314-22

5. Siegel RL, Miller KD, Goding Sauer A. et al. Colorectal cancer statistics, 2020. CA Cancer J Clin. 2020;70:145-64

6. Shinko D, Diakos CI, Clarke SJ. et al. Cancer-Related Systemic Inflammation: The Challenges and Therapeutic Opportunities for Personalized Medicine. Clin Pharmacol Ther. 2017;102:599-610

7. Tuomisto AE, Makinen MJ, Vayrynen JP. Systemic inflammation in colorectal cancer: Underlying factors, effects, and prognostic significance. World J Gastroenterol. 2019;25:4383-404

8. Kwaan HC, Lindholm PF. Fibrin and Fibrinolysis in Cancer. Semin Thromb Hemost. 2019;45:413-22

9. Mantzorou M, Koutelidakis A, Theocharis S. et al. Clinical Value of Nutritional Status in Cancer: What is its Impact and how it Affects Disease Progression and Prognosis?. Nutr Cancer. 2017;69:1151-76

10. Plahuta I, Mencinger M, Perus I. et al. Ranking as a Procedure for Selecting a Replacement Variable in the Score Predicting the Survival of Patients Treated with Curative Intent for Colorectal Liver Metastases. Medicina. 2023;59:2003

11. Li X, An B, Zhao Q. et al. Combined fibrinogen and neutrophil-lymphocyte ratio as a predictive factor in resectable colorectal adenocarcinoma. Cancer Manag Res. 2018;10:6285-94

12. Liu Y, He X, Pan J. et al. Prognostic role of Glasgow prognostic score in patients with colorectal cancer: evidence from population studies. Sci Rep. 2017;7:6144

13. Chen JH, Zhai ET, Yuan YJ. et al. Systemic immune-inflammation index for predicting prognosis of colorectal cancer. World J Gastroenterol. 2017;23:6261-72

14. Lin Y, Liu Z, Qiu Y. et al. Clinical significance of plasma D-dimer and fibrinogen in digestive cancer: A systematic review and meta-analysis. Eur J Surg Oncol. 2018;44:1494-503

15. Egenvall M, Morner M, Martling A. et al. Prediction of outcome after curative surgery for colorectal cancer: preoperative haemoglobin, C-reactive protein and albumin. Colorectal Dis. 2018;20:26-34

16. Matsuda S, Takeuchi H, Kawakubo H. et al. Validation Study of Fibrinogen and Albumin Score in Esophageal Cancer Patients Who Underwent Esophagectomy: Multicenter Prospective Cohort Study. Ann Surg Oncol. 2021;28:774-84

17. Wu M, Pan Y, Jia Z. et al. Preoperative Plasma Fibrinogen and Serum Albumin Score Is an Independent Prognostic Factor for Resectable Stage II-III Gastric Cancer. Dis Markers. 2019;2019:9060845

18. Chen P, Wang C, Cheng B. et al. Plasma fibrinogen and serum albumin levels (FA score) act as a promising prognostic indicator in non-small cell lung cancer. Onco Targets Ther. 2017;10:3107-18

19. Jia T, Zhang R, Kong F. et al. The Prognostic Role and Nomogram Establishment of a Novel Prognostic Score Combining with Fibrinogen and Albumin Levels in Patients with WHO Grade II/III Gliomas. Int J Gen Med. 2021;14:2137-45

20. Li Y, Yang JN, Cheng SS. et al. Prognostic significance of FA score based on plasma fibrinogen and serum albumin in patients with epithelial ovarian cancer. Cancer Manag Res. 2019;11:7697-705

21. Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 2010;17:1471-4

22. Piotrowski I, Kulcenty K, Suchorska W. Interplay between inflammation and cancer. Rep Pract Oncol Radiother. 2020;25:422-7

23. West NR, McCuaig S, Franchini F. et al. Emerging cytokine networks in colorectal cancer. Nat Rev Immunol. 2015;15:615-29

24. Shalapour S, Karin M. Immunity, inflammation, and cancer: an eternal fight between good and evil. J Clin Invest. 2015;125:3347-55

25. Mantovani A, Allavena P, Sica A. et al. Cancer-related inflammation. Nature. 2008;454:436-44

26. Balkwill FR. The chemokine system and cancer. J Pathol. 2012;226:148-57

27. Aon M, Aoun AH, Alshami A. et al. Association of the systemic immune-inflammation index (SII) and severity of diabetic ketoacidosis in patients with type 1 diabetes mellitus: a retrospective cohort study. Ann Med Surg (Lond). 2024;86:3865-72

28. Lin MS, Huang JX, Yu H. Prognostic significance of Glasgow prognostic score in patients with stage II colorectal cancer. Int J Clin Exp Med. 2015;8:19138-43

29. Shibutani M, Maeda K, Nagahara H. et al. Prognostic significance of the preoperative lymphocyte-to-monocyte ratio in patients with colorectal cancer. Oncol Lett. 2017;13:1000-6

30. Shibutani M, Maeda K, Nagahara H. et al. Prognostic significance of the lymphocyte-to-monocyte ratio in patients with metastatic colorectal cancer. World J Gastroenterol. 2015;21:9966-73

31. Sun K, Chen S, Xu J. et al. The prognostic significance of the prognostic nutritional index in cancer: a systematic review and meta-analysis. J Cancer Res Clin Oncol. 2014;140:1537-49

32. Li N, Tian GW, Wang Y. et al. Prognostic Role of the Pretreatment C-Reactive Protein/Albumin Ratio in Solid Cancers: A Meta-Analysis. Sci Rep. 2017;7:41298

33. Martino MM, Briquez PS, Ranga A. et al. Heparin-binding domain of fibrin(ogen) binds growth factors and promotes tissue repair when incorporated within a synthetic matrix. Proc Natl Acad Sci U S A. 2013;110:4563-8

34. Li W, Tang Y, Song Y. et al. Prognostic Role of Pretreatment Plasma D-Dimer in Patients with Solid Tumors: a Systematic Review and Meta-Analysis. Cell Physiol Biochem. 2018;45:1663-76

35. Perisanidis C, Psyrri A, Cohen EE. et al. Prognostic role of pretreatment plasma fibrinogen in patients with solid tumors: A systematic review and meta-analysis. Cancer Treat Rev. 2015;41:960-70

36. Man YN, Wang YN, Hao J. et al. Pretreatment plasma D-dimer, fibrinogen, and platelet levels significantly impact prognosis in patients with epithelial ovarian cancer independently of venous thromboembolism. Int J Gynecol Cancer. 2015;25:24-32

37. Ye XW, Hu HJ, Xiong XZ. et al. The preoperative elevated plasma fibrinogen level is associated with the prognosis of hilar cholangiocarcinoma. Surg Today. 2021;51:1352-60

38. Tang L, Liu K, Wang J. et al. High preoperative plasma fibrinogen levels are associated with distant metastases and impaired prognosis after curative resection in patients with colorectal cancer. J Surg Oncol. 2010;102:428-32

39. McMillan DC, Watson WS, O'Gorman P. et al. Albumin concentrations are primarily determined by the body cell mass and the systemic inflammatory response in cancer patients with weight loss. Nutr Cancer. 2001;39:210-3

40. Brenner DA, Buck M, Feitelberg SP. et al. Tumor necrosis factor-alpha inhibits albumin gene expression in a murine model of cachexia. J Clin Invest. 1990;85:248-55

41. Heys SD, Walker LG, Deehan DJ. et al. Serum albumin: a prognostic indicator in patients with colorectal cancer. J R Coll Surg Edinb. 1998;43:163-8

42. Dupre A, Berhane S, Chan AWH. et al. Multicentre validation of a clinical prognostic score integrating the systemic inflammatory response to the host for patients treated with curative-intent for colorectal liver metastases: The Liverpool score. Eur J Surg Oncol. 2019;45:999-1004

Author contact

Corresponding address Corresponding author: Xiao Li, PhD, Department of gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwuweiqi Road, Huaiyin District, Jinan 250021, Shandong Province, China. Email: miracle9209com.


Received 2024-7-8
Accepted 2024-9-9
Published 2024-9-23


Citation styles

APA
An, B., Liu, T., Li, X. (2024). Predictive Value of Preoperative Fibrinogen and Albumin Score (FA Score) for Prognosis and Chemotherapeutic Efficacy in Resected Colorectal Cancer: A Retrospective Cohort Study. Journal of Cancer, 15(18), 5968-5977. https://doi.org/10.7150/jca.100674.

ACS
An, B.; Liu, T.; Li, X. Predictive Value of Preoperative Fibrinogen and Albumin Score (FA Score) for Prognosis and Chemotherapeutic Efficacy in Resected Colorectal Cancer: A Retrospective Cohort Study. J. Cancer 2024, 15 (18), 5968-5977. DOI: 10.7150/jca.100674.

NLM
An B, Liu T, Li X. Predictive Value of Preoperative Fibrinogen and Albumin Score (FA Score) for Prognosis and Chemotherapeutic Efficacy in Resected Colorectal Cancer: A Retrospective Cohort Study. J Cancer 2024; 15(18):5968-5977. doi:10.7150/jca.100674. https://www.jcancer.org/v15p5968.htm

CSE
An B, Liu T, Li X. 2024. Predictive Value of Preoperative Fibrinogen and Albumin Score (FA Score) for Prognosis and Chemotherapeutic Efficacy in Resected Colorectal Cancer: A Retrospective Cohort Study. J Cancer. 15(18):5968-5977.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See https://ivyspring.com/terms for full terms and conditions.
Popup Image