Abstract
Background/Aim: The C-reactive protein (CRP) to albumin ratio (CAR) is associated with outcomes in patients with sepsis. We aimed to evaluate the significance of preoperative CAR in therapeutic outcomes after gallbladder carcinoma (GBC) resection. Patients and Methods: Fifty-three patients who underwent surgical resection for GBC between January 2008 and September 2019 were enrolled. We retrospectively investigated the relation between preoperative CAR and overall and disease-free survival. Results: The optimal cut-off CAR was 0.07. Multivariate analysis showed that i) R1 or R2 resection (p=0.033), ii) advanced tumor stage (p=0.047), iii) CAR≥0.07 (p=0.011), and iv) postoperative complications (p=0.028) were significant independent predictors of overall survival; moreover, higher carbohydrate antigen levels (p=0.036) and R1 or R2 resection (p<0.001) were significant independent predictors of disease-free survival. Conclusion: Preoperative CAR may be a significant independent predictor of long-term outcomes after GBC resection.
Gallbladder carcinoma (GBC) is relatively rarer compared to gastrointestinal carcinoma; however, its incidence is increasing worldwide, and it is considered the most common malignant biliary neoplasm and the seventh-most common type of gastrointestinal cancer (1). Curative resection is the only effective treatment for GBC; however, it is characterized by easy local invasion and lymph node metastasis (2). Most patients with GBC have progressed to the late stage at the time of diagnosis (3). The recurrence rate is high, and GBC is insensitive to radiotherapy and chemotherapy (4), thus, it has an extremely poor prognosis. The reported mean survival for patients with GBC ranges from 5.2 to 24.4 months (2-5). For all these reasons, investigating the prognostic factors for GBC is especially important.
There is increasing evidence that the systematic inflammatory response plays an important role in the development of various types of malignancy (6,7). The preoperative systematic inflammation, represented by i) the Glasgow prognostic score (GPS) (8), ii) the neutrophil-to-lymphocyte ratio (NLR) (9), iii) the platelet-to-lymphocyte ratio (PLR) (9), and iv) the prognostic nutritional index (PNI) (10) have all been reported to predict cancer-specific survival of GBC. We know that the GPS is based on the circulating levels of two acute phase proteins, i) C-reactive protein (CRP) and ii) albumin. Fairclough E et al. have established the CRP to albumin ratio (CAR), a novel inflammation-based prognostic score based on these two factors, to identify patients with serious illness on acute medical admission, and have reported that it is associated with poor outcomes in patients with sepsis (11, 12).
Recently, the prognostic ability of CAR has been reported in patients with i) hepatocellular carcinoma (13), and ii) gastric (14), iii) ovarian (15), iv) colorectal (16), v) esophageal (17), and vi) pancreatic cancers (18, 19). In fact, elevated preoperative CAR has been associated with poor survival in patients with the aforementioned cancer types. To our knowledge, the prognostic value of CAR has not been reported in patients with GBC. Therefore, in this study, we retrospectively investigated the relation between preoperative CAR and the overall survival and disease-free survival rates after surgical GBC resection. Moreover, we compared the predictive values of CAR, GPS, NLR, PLR, and PNI.
Patients and Methods
The study protocol was approved by the Human Ethics Review Committee of Iwakuni Clinical Center (number: 0183). The study was conducted in accordance with the ethical standards of the 1964 Declaration of Helsinki and its later amendments. Informed consent was obtained from all individual participants included in the study (20).
Between January 2008 and September 2019, 53 patients with GBC underwent surgical resection at the Iwakuni Clinical Center. Clinical data, tumor characteristics, and survival outcomes were retrospectively reviewed. All participants provided a written informed consent to keep their data in the hospital database, prior to data collection.
We investigated the ways in which clinicopathological variables, such as sex, age, body mass index, associated diseases (hypertension, diabetes, cardiac disease, and stroke), the American Society of Anesthesiologists physical status score, surgical procedure, blood loss, duration of operation, tumor stage according to the Union for International Cancer Control classification, and status of the CAR are related (21, 22). We also assessed the overall and disease-free survival rates after surgery using univariate and multivariate analyses by dividing all patients into the high and low CAR groups. Furthermore, we compared the predictive values of CAR, GPS, NLR, PLR, and PNI.
Definition of the inflammation-based prognostic system. Peripheral venous blood samples were collected within 2 weeks before surgery, used for the detection of granulocyte, leukocyte, platelet, albumin, CRP, carbohydrate antigen (CA19-9), and carcinoembryonic antigen (CEA) levels. From these results we calculated CAR, GPS, NLR, and PLR. CAR was calculated by dividing serum CRP (mg/dl) by serum albumin levels (g/l). GPS was calculated as follows: i) patients with an elevated CRP level (>1.0 mg/dl) and hypoalbuminemia (<3.5 g/dl) were scored as 2, ii) those who only had one of these biochemical abnormalities as 1, and those who had no such abnormalities were evaluated with a score of 0 (23). NLR and PLR were calculated by dividing neutrophil and platelet counts by lymphocyte count, respectively (19,20). PNI was calculated according to the following formula: 10×serum albumin (g/dl)+0.05×total lymphocyte count (per mm3).
Surgical strategy and follow-up. We applied evidence-based clinical practice guidelines for the treatment of GBC (26, 27). Based on preoperative imaging studies and clinical data, hepatectomy was indicated only in cases in which sufficient hepatic function would have been conserved post-surgery. According to incidental GBC, we used reported treatment strategies (28). Following surgery, all patients were carefully monitored. Tumor marker levels from serum measurements, ultrasonography, and computed tomography were conducted every 3 months. The follow-up period ended in the last follow-up visit (February 2020) or in case of death. At the time of manuscript preparation, the median follow-up time of surviving patients was 34 (range=1-130) months.
Complications were defined according to the method described by Clavien et al. (29). In this study, postoperative complications were defined as complications that were grade 2 or higher, while postoperative mortality was defined as any death incident occurring within 30 days post-surgery.
Statistical analysis. Data are expressed as mean±standard deviation (SD). Univariate analysis was performed using the Mann-Whitney U and the Chi-square tests. Diagnostic accuracy was determined by the area under the receiver operating characteristic curve (ROC). The optimal cut-off values of CAR, NLR, GPS, PLR, and PNI were determined by maximizing the Youden index (sensitivity+ specificity−1) (30). The Kaplan-Meier method was used to analyze the overall and disease-free survival rates while the log-rank test was used to compare differences between the subgroups. Univariate and multivariate analyses were performed for the prognostic factors using the Cox proportional hazard model, as significant different variables analyzed by the univariate analysis were further analyzed by the multiple Cox proportional hazards model. The statistical significance level was set at p<0.05 in all analyses. Statistical analysis was performed using JMP version 9 (SAS Institute, Cary, NC, USA).
Results
Patient characteristics. Fifty-three patients were enrolled in this study [mean age=73.0±11.92 years (range=38-95), sex=30 men and 23 women]. Patient characteristics are outlined in Table I. Operative procedures consisted of: i) cholecystectomy (13 patients), ii) liver bed resection (6 patients), iii) hepatic resection of segments 4b and 5 (26 patients), iv) extended right lobectomy (5 patients), v) hepatopancreaticoduodenectomy (3 patients), and vi) pancreaticoduodenectomy (one patient). Postoperative complications developed in 20 of 51 patients; these included: i) bile leakage (10 patients), ii) surgical site infection (two patients), iii) pancreatic fistula (two patients), iv) abdominal abscess (two patients), v) ileus (two patients), vi) chylous ascites (one patient), and vii) acute respiratory distress syndrome (one patient).
ROC analysis. Using the overall survival rate as an endpoint, the optimal cut-off value for inflammation-based markers was determined using the area under the curve (AUC) of ROC curves: i) CAR=0.07 (AUC=0.823), ii) PNI=47.9 (AUC=0.771), iii) GPS=1 (AUC=0.751), iv) NLR=3.72 (AUC=0.661), and v) PLR=0.13 (AUC=0.596). The CAR value was the highest (statistically significant) among the inflammation-based markers (Figure 1).
Univariate and multivariate analyses of the clinicopathological variables in relation to overall survival after surgical GBC resection. The 1-, 3-, and 5-year overall survival rates were 84.1, 65.4, and 57.6%, respectively. Table II shows the relationship between the clinicopathological variables and the overall survival rates following surgical GBC resection. In the univariate analysis, the overall survival was significantly worse in patients with increased CEA levels (p<0.001), CA19-9 (p<0.001), R1 or R2 resection (p<0.001), tumor stage 3 or 4 (p<0.001), CAR≥0.07 (p<0.001, Figure 2a), GPS 1 or 2 (p<0.001), NLR≥3.72 (p<0.001), PNI<47.9 (p<0.001), and postoperative complications (p=0.002). In the multivariate analysis, R1 or R2 resection (p=0.033), tumor stage 3 or 4 (p=0.047), CAR≥0.07 (p=0.011), and postoperative complications (p=0.028) were independent and significant predictors of overall survival.
Univariate and multivariate analyses of the clinicopathological variables in relation to disease-free survival following surgical GBC resection. Table III shows the relationship between the clinicopathological variables and the disease-free survival following surgical GBC resection. In the univariate analysis, disease-free survival was significantly worse in patients with higher CEA levels (p=0.006), CA19-9 (p<0.001), R1 or R2 resection (p<0.001), tumor stage 3 or 4 (p<0.001), CAR≥0.07 (p<0.001, Figure 2b), GPS 1 or 2 (p<0.001), NLR≥3.72 (p=0.001), PNI<47.9 (p=0.002), and postoperative complications (p=0.008). In the multivariate analysis, higher levels of CA19-9 (p=0.036) and R1 or R2 resection (p<0.001) were independent and significant predictors of disease-free survival.
Association between the clinicopathologic variables and the CAR. Table IV shows the relationship between the clinicopathologic variables and the CAR. Patients with CAR≥0.07 have i) significantly longer duration of operation (p<0.001), ii) greater blood loss (p<0.001), iii) more advanced tumor stage (p=0.014), iv) higher CEA levels (p=0.025), and v) more postoperative complications (p<0.001) compared to those with CAR<0.07. Additionally, the CAR was associated with other inflammatory markers, including GPS (p<0.001), NLR (p<0.001), PLR (p=0.003), and PNI (p<0.001).
Discussion
This study demonstrated that non-curative resection, advanced tumor stage, elevated CAR, and postoperative complications were independent prognostic factors of poor survival following GBC resection. Elevated CA19-9 and non-curative resection were independent predictors of worse recurrence-free survival. Moreover, only the CAR was evaluated as an independent preoperative prognostic factor. Conversely, the other established inflammation-based prognostic scores in the multivariate analysis, such as GPS, NLR, PLR, and PNI, were poor independent prognostic factors. Consequently, we compared CAR's prognostic ability to the other inflammation-based prognostic scores, and found that in the context of GBC, the AUC of the CAR was superior to other scores in terms of predictive accuracy. These results are consistent with previous studies identifying the CAR as an outcome predictor of hepatocellular carcinoma (13), as well as of gastric (14), ovarian (15), colorectal (16), and pancreatic cancer (18, 19).
Furthermore, we noted that an increased CAR was significantly correlated with i) an advanced stage, ii) increased CEA, iii) longer duration of operation, iv) greater blood loss, and v) postoperative complications, suggesting that it may be correlated with more aggressive surgery and disease phenotype.
The association between inflammation and cancer is based on the observation that tumors often arise on chronic inflammation sites and that inflammatory cells are present in biopsied samples collected from tumor tissues (31). In the case of GBC, chronic cholecystitis resulting from gallbladder stones or bacterial infection is thought to be a major oncogenic driver (32). Moreover, recent clinical and laboratory studies have indicated that inflammation is closely related to cancer progression and metastasis, and an inflammatory microenvironment has even been proposed as the seventh hallmark of cancer (33-35). Therefore, inflammation markers might predict the prognosis of various cancers, including GBC.
Currently, the correlational mechanism between the CAR and cancer-specific survival remains unclear. Elevated serum CRP levels reflect a non-specific inflammatory response to tumor necrosis or local tissue damage, and indicate a favorable environment for the establishment and growth of distant metastasis (36). In this study, patients with advanced tumor stage had an elevated CAR, potentially reflecting these factors. Xavier et al. have reported that Serum CRP inhibits apoptosis of cancer cells in a myeloma setting to determine whether CRP affects tumor cell growth and survival (37). Fondevila et al. have reported that serum levels of vascular endothelial growth factors (angiogenic factors) increase in the presence of elevated serum CRP concentration (38).
In addition, hypoalbuminemia is often observed in patients with advanced cancer and is regarded as a marker of malnutrition (39). Also, serum albumin participates in the systemic inflammatory response and its reduced levels are associated with poor long-term survival in patients with various cancers (40).
The CAR may reflect a systemic inflammatory response and the progressive nutritional decline, resulting in poor survival. Perioperative nutritional support was recommended to improve the nutritional status in patients with hepatobiliary-pancreatic carcinoma, as there was a high prevalence of malnutrition (41). Indeed, preoperative immunonutrition has been reported to suppress the perioperative inflammatory response (42). Further investigation to evaluate the relationship between immunonutrition and this inflammatory-based prognostic score is important to improve the management of patients with GBC.
To the best of our knowledge, this is the first study to investigate whether the CAR is useful for predicting postoperative outcomes in GBC. Survival following surgical resection for patients with GBC greatly depends on disease stage and whether curative resection is achieved; however, these can only be properly evaluated postoperatively. Our results suggest that the preoperative CAR might potentially serve as a clinically valuable marker in patients with GBC. The CAR has the advantage of being easily measured, routinely available, and well-standardized. Moreover, an increased CAR might be correlated with a more aggressive form of disease, thereby making it possible to use it for screening a subset of patients with bad prognosis who require intense treatment. Additionally, the CAR displayed an improved prognostic ability compared to the other inflammation-based scoring systems and may be a complementary factor for defining tumor stage in predicting survival in patients with GBC.
Our study had limitations, as it was a retrospective single-centre study with a small sample size. Prospective cohort studies in multiple institutions should be performed to confirm these results.
In conclusion, our study showed that the CAR may be an independent and significant indicator of poor long-term outcome in patients with GBC following surgery.\
Footnotes
Authors' Contributions
MU, HA, SN, SN, YU, YK, MW, FT, TA, KK and KT designed the study. HA, MU and YK treated and observed the patients. MU prepared the manuscript and performed the literature search. HA corrected and revised the manuscript. All Authors read and approved the final manuscript.
This article is freely accessible online.
Conflicts of Interest
The Authors declare that they have no conflicts of interest.
- Received March 13, 2020.
- Revision received April 6, 2020.
- Accepted April 8, 2020.
- Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved