Abstract
Cholangiocarcinoma (CCA) represents a rare form of primary liver cancer with increasing incidence but dismal prognosis. Surgical treatment has remained the only potentially curative treatment option, but it remains unclear which patients benefit most from liver surgery, highlighting the need for new preoperative stratification strategies. In clinical routine, CA19-9 represents the most widely used tumor marker in CCA patients. However, data on the prognostic value of CA19-9 in CCA patients are limited and often inconclusive, mostly due to small cohort sizes. Here, we investigated the prognostic value of CA19-9 in comparison with other standard laboratory markers in a large cohort of CCA patients that underwent tumor resection. Of note, while CA19-9 and CEA were able to discriminate between CCA and healthy controls, CEA showed a higher accuracy for the differentiation between CCA and patients with primary sclerosing cholangitis (PSC) compared to CA19-9. Furthermore, patients with elevated levels of C-reactive protein (CRP), CA19-9 or CEA showed a significantly impaired survival in Kaplan-Meier curve analysis, but surprisingly, only CEA but not CA19-9 represented an independent predictor of survival in multivariate Cox-regression analysis. Our data suggest that CEA might help to identify CCA patients with an unfavourable prognosis after tumor resection.
Introduction
Although cholangiocarcinoma (CCA) represents the second most common primary hepatic malignancy, it can be considered a rare type of gastrointestinal cancer comprising less than 1% of all human malignancies1,2. Depending on the geographical region, incidence rates vary from 0.5 to 3.4 cases per 100.000/year in the US and Western Europe to 85 cases per 100.000 people in some parts of Asia3. With respect to its anatomical localization, CCA is subdivided into intrahepatic and extrahepatic CCA, the latter comprising perihiliar CCA (Klatskin tumor) and distal CCA4. Systemic chemotherapy with cisplatin and gemcitabine is the standard treatment for locally-advanced and metastatic disease2, while for early stage CCA, surgical resection represents a potentially curative treatment. However, even after resection, the patients’ prognoses often remain limited. As such, following R0 resection, 5-year survival rates vary between 23–37%5–8. Importantly, beyond the standard diagnostic criteria that define if a patient is resectable or not (e.g. tumor stage, presence of metastases, clinical performance status, liver function etc.)9–12, it is still not fully clear which patients actually benefit from extensive liver surgery in terms of post-operative survival and which patients continue to have a poor prognosis even after tumor resection. Therefore, novel stratification strategies including easily accessible parameters are urgently needed to determine the ideal therapeutic approach for individual CCA patients.
As disease-specific biomarkers for CCA have not been established to date2, carbohydrate antigen 19–9 (CA19-9), the standard tumor marker for pancreatic adenocarcinoma13,14, is the most frequently used biomarker for diagnostic and treatment predictive purposes in CCA patients in clinical practice15,16. Besides, CA19-9 has also been suggested as a prognostic marker for CCA patients undergoing tumor resection17,18 and patients receiving chemotherapy19. Nevertheless, serum levels of CA19-9 are also elevated in patients with non-malignant biliary diseases such as primary sclerosing cholangitis or biliary obstruction due to choledocholithiasis20,21, implying that CA19-9 might not be the ideal tool for surveillance of patients with benign biliary disease. Carcinoembryonic antigen (CEA), a well-established tumor marker particularly in the field of colorectal and other adenocarcinomas22,23, has gained increasing attention as a potential biomarker for hepatobiliary malignancies24. Similarly, C-reactive protein (CRP) was recently suggested to be an independent prognostic factor for patients with intrahepatic25 and perihiliar CCA26. However, given the small sample size of most studies in CCA patients15,27–29, the diagnostic and prognostic values of these respective markers specifically in the clinical setting of surgical resection have remained inconclusive. Here, we therefore aimed to evaluate the diagnostic and prognostic capabilities of CA19-9, CEA, CRP and other routinely measured laboratory parameters in a large cohort of CCA patients undergoing tumor resection at our tertiary referral centre between 2010 and 2016 in comparison to healthy control samples and patients with primary sclerosing cholangitis.
Results
Patients characteristics
All 190 patients CCA patients that were included into this study underwent surgical tumor resection at the Department of Surgery at University Hospital RWTH Aachen, a tertiary referral hospital. The median age of the study population was 68 years. 78 patients (40.8%) were treated for intrahepatic CCA, 81 patients (42.6%) for Klatskin tumors, 16 patients (8.4%) for distal CCA and 15 patients (7.9%) for gallbladder carcinoma. Regarding the T-stage, 10.5% of patients suffered from T1-, 43.2% from T2-, 30.9% from T3- and 15.4% of T4-stage. 46.8% of the included patients had node-negative disease (N0), while 53.2% of patients showed a tumor spreading into lymph nodes (N1). 18.1% of patients had extrahepatic CCA with intrahepatic or local peritoneal tumor spreading (M1). The tumours of 33.6% of patients were graded as poorly differentiated (G3) and 66.4% of patients showed a moderately differentiated tumor. 52% of the CCA study population died during the follow-up period. The median overall survival was 703 days. Patient characteristics are summarized in Table 1.
Table 1.
Study population | |
---|---|
CCA patients | 190 |
PSC patients | 24 |
Healthy controls | 50 |
Sex [%]: | |
male-female (CCA) | 59.5–40.5 |
male-female (PSC) | 70.8–29.2 |
Age [years, median and range] | |
CCA | 68 [35–84] |
PSC | 41 [20–51] |
BMI [kg/m2, median and range] | |
CCA | 25.61 [18.83–46.36] |
Anatomic location of CCA [%] | |
Intrahepatic | 40.7 |
Klatskin | 42.9 |
Distal | 8.5 |
Gallbladder | 7.9 |
Staging and grading of CCA [%] | |
T1-T2-T3-T4 | 10.5–43.2–30.9–15.4 |
N0-N1 | 46.8–53.2 |
M0-M1 | 81.9–18.1 |
G2-G3 | 66.4–33.6 |
R0-R1 | 67.1–32.9 |
Death during follow up [%] | |
Yes-No | 52–48 |
Serum levels of CA19-9 and CEA are elevated in patients with CCA
In our cohort of 190 patients, preoperative CA19-9 and CEA levels were retrospectively available in 90 patients (Table 2). Compared to healthy controls (n = 50), both tumor markers were significantly elevated in individuals with CCA (Fig. 1a,b, Table 2). Similarly, serum markers of liver injury and biliary obstruction (aspartate transaminase (AST), alanine transaminase (ALT), bilirubin, gamma-glutamyltransferase (GGT) and alkaline phosphatase (ALP)) and inflammation (CRP) were also elevated above the clinically established cut-off values (upper limit of normal), whereas the median leucocyte count of CCA patients was within the normal range (Table 2). Of the 90 patients with available tumor marker data, 47 patients (52.2%) showed an isolated elevation of CA19-9, 3 patients (3.3%) an isolated elevation of CEA and 17 patients (18.9%) showed an elevation of both markers, while 23 patients (25.6%) did not display elevated levels of tumor markers when applying our laboratory’s standard cut-off values (CEA: 5 µg/l, CA19-9: 34 U/ml) (Fig. 1c). To determine the diagnostic accuracy of these tumor markers, we performed ROC curve analysis revealing AUC values of 0.890 and 0.828 for CA19-9 and CEA for the differentiation between CCA and healthy controls, respectively (Fig. 1d). The combination of CA19-9 and CEA was superior to either marker alone, showing an AUC of 0.950 for the differentiation between CCA and healthy controls (Fig. 1d). Notably, of the routinely tested markers, only GGT displayed a superior AUC when analysed in this context (AUCAST 0.771, AUCALT 0.774, AUCbilirubin 0.739, AUCGGT 0.943; Fig. 1e). Optimal diagnostic cut-off values were established using the Youden-index method. For CEA, a serum level of 1.55 µg/l differentiated best between CCA and healthy controls showing a sensitivity and specificity of 85 and 70%, respectively. CA19-9 serum levels displayed an optimal diagnostic power with a sensitivity of 85.9% and a specificity of 92% at a cut-off value of 15.75 U/ml. Interestingly, both diagnostic cut-off values in our specific cohort of CCA patients were clearly lower than the standard cut-off values used in daily routine.
Table 2.
CCA patients median [range], number of analyzed patients | PSC patients median [range], number of analyzed patients | Healthy controls median [range], number of analyzed patients | |
---|---|---|---|
CEA [µg/l] | 2.95 [0.71–110.4], n = 92 | 1.15 [0.2–5.1], n = 20 | 1.25 [0.3–6.3], n = 50 |
CA 19–9 [U/ml] | 78.4 [0.5–38092], n = 99 | 15.95 [2.3–78.4], n = 24 | 5.4 [0–44.1], n = 50 |
AFP [ng/ml] | 4 [1–177.8], n = 49 | 1.95 [1–8.7], n = 20 | — |
WBC [cells/nl] | 7.95 [2.9–21.8], n = 190 | 6.8 [3.3–12.4], n = 23 | — |
CRP [mg/l] | 14.95 [0–230], n = 180 | 6.4 [0.6–127], n = 20 | — |
AST [U/l] | 45 [15–1587], n = 189 | 67 [16–108], n = 22 | 28 [20–78], n = 50 |
ALT [U/l] | 46.5 [10–1097], n = 136 | 75.5 [22–224], n = 24 | 20 [5–82], n = 50 |
GGT [U/l] | 293.5 [13–2015], n = 184 | 265 [18–1223], n = 24 | 17 [8–120], n = 50 |
ALP [U/l] | 215 [45–1655], n = 184 | 248 [81–694], n = 24 | 65 [36–102], n = 50 |
Bilirubin [mg/dl] | 0.9 [0.2–21.49], n = 189 | 0.89 [0.36–11.07], n = 22 | 0.41 [0.1–1.46], n = 50 |
Creatinine [mg/dl] | 0.8 [0.4–1.9], n = 190 | 0.78 [0.3–2.42], n = 23 | — |
Sodium [mmol/l] | 140 [121–146], n = 189 | 139 [136–144], n = 23 | — |
Potassium [mmol/l] | 4.3 [2.9–7], n = 189 | 4.25 [3.6–5.3], n = 22 | — |
Calcium [mmol/l] | 2.3 [1.78–5.43], n = 182 | 2.35 [2.09–2.52], n = 21 | — |
Haemoglobin [g/l] | 12.55 [7.8–19.9], n = 190 | 14.4 [8.3–16.5], n = 23 | — |
Platelets [cells/nl] | 276.5 [9–931], n = 190 | 261 [118–417], n = 23 | — |
WBC: white blood cell count, CRP: C-reactive protein, AST: aspartate transaminase, ALT: alanine transaminase, GGT: γ-Glutamyl transpeptidase, ALP: alkaline phosphatase, CEA: carcinoembryonic antigen, CA 19-9: carbohydrate-Antigen 19-9, AFP: Alpha-fetoprotein.
We also analysed if serum levels of the tumor markers (CA19-9 and CEA) or inflammatory markers (CRP and leucocyte count) were altered between patients with different T-, N- or M-status (according to UICC TNM classification, 7th edition 201030). While circulating levels of CA19-9 and CEA as well as the leucocyte count were unaltered between different T-stages (Suppl. Figure 1a, b and d), patients with a more advanced local tumor stage (T2, T3 and T4) had significantly higher CRP levels compared to T1-stage patients (Suppl. Figure 1c). Similarly, CRP levels were elevated in patients with node-positive disease (N1, Suppl. Figure 1g) whereas no difference for CA19-9, CEA and the leucocyte count became apparent (Suppl. Figure 1e,f and h). CCA patients with extrahepatic CCA and intrahepatic or local peritoneal tumor spreading (M1) that were still eligible for tumor resection showed a non-significant trend towards higher levels of CA19-9 and CEA (Suppl. Figure 1i and j) and displayed significantly elevated levels of CRP and the leucocyte count (Suppl. Figure 1k and l). When comparing the different anatomical tumor localizations (intrahepatic CCA, Klatskin tumors, distal CCA and gallbladder cancer) we observed no significant differences regarding CA19-9, CEA and CRP levels as well as the leucocyte count (Suppl. Figure 2a–d). However, patients with gallbladder carcinoma showed a non-significant trend towards higher levels of CA19-9 and CEA compared to other localizations (Suppl. Figure 2a and b). Interestingly, poorly differentiated tumours (G3) showed a strong but non-significant trend (p = 0.066) towards higher levels of CEA compared to moderately differentiated tumours (G2) (Suppl. Figure 2f), whereas serum levels of CA19-9, CRP and the leucocyte count were unaltered between G2 and G3 tumours (Suppl. Figure 2e, g and h). Finally, we found that the subgroup of patients that were resected with positive resection margins (R1) had elevated initial CA19-9 and CRP but not CEA serum levels or elevated leucocyte count (Suppl. Figure 2i-l).
Serum levels of CA19-9 and CEA in patients with primary sclerosing cholangitis
As several studies suggested that CA19-9 and CEA are also elevated in the serum of patients with benign cholangiopathies and might therefore be unsuitable for early detection of CCA in this setting15,31, we next compared serum levels of CA19-9 and CEA in patients with CCA and patients with primary sclerosing cholangitis (PSC, n = 24) and no evidence of malignant transformation. Both CA19-9 and CEA serum levels were significantly higher in CCA patients compared to PSC patients (Fig. 2a,b). Importantly, PSC patients displayed only elevated CA19-9 levels (Fig. 2b) but not CEA levels (Fig. 2a), corroborating previous findings of elevated CA19-9 levels in non-malignant bile duct diseases31. Serum levels of CRP and the leucocyte count were unaltered between CCA and PSC patients (Fig. 2c,d). In line with this finding, ROC curve analysis revealed that serum levels of CEA (AUC: 0.813) were superior to CA19-9 levels (AUC: 0.768) in differentiating between patients with PSC and CCA (Fig. 2e). Again, we used Youden-index method and determined an optimal cut-off value of 1.85 µg/l and 78.9 U/ml for CEA and CA19-9 respectively for the discrimination between PSC and CCA. The best diagnostic power for the differentiation between PSC and CCA patients was achieved when combining CEA and CA19-9 showing an AUC of 0.846 (Fig. 2e). Importantly, these findings remained unchanged when PSC patients were compared to intrahepatic CCA and Klatskin tumor patients only, which represent the most frequent tumor entities occurring in PSC patients (data not shown). In contrast, the standard liver serum markers (ALT, bilirubin, GGT) as well as CRP serum levels were unsuitable for the differentiation between PSC and CCA patients (Fig. 2e). Together this exploratory analysis suggests that in a setting of PSC, the clinical implication of a moderate CA19-9 elevation is often difficult to interpret, but even subtle elevations of CEA could be a serious warning sign for malignant transformation. However, this hypothesis would warrant further confirmation, ideally in a larger and prospective cohort of PSC patients.
Preoperative CEA but not CA19-9 or CRP serum levels are an independent predictor of long-term mortality after CCA tumor resection
Based on previous studies suggesting a prognostic function of CA19-9 in patients with cholangiocarcinoma18,32–35, we next evaluated the prognostic value of CA19-9, CEA, CRP and the leucocyte count in our cohort of patients. For this, we first performed ROC curve analyses which revealed AUC values of 0.649 (CA19-9), 0.602 (CEA), 0.666 (CRP) and 0.534 (leucocyte count) for the differentiation between patient that died during the follow-up period and patients that were still alive (Suppl. Figure 3a and b). We next performed Kaplan-Meier curve analysis by subdividing our cohort of patients for each serum marker into two groups with respective serum levels above or below the 50th percentile of our cohort. Using these respective cut-off levels, only CA19-9 and CRP but not CEA and the leucocyte showed a significantly impaired long-term survival in patients with serum levels above the respective 50th percentile (Suppl. Figure 3c-f). Off note, serum levels of alpha-fetoprotein (AFP), a widely used biomarker for hepatocellular carcinoma36, were unsuitable for the prediction of long term survival in CCA patients (Suppl. Figure 3g).
As the median level of the respective serum markers might not represent the ideal cut-off value for the differentiation between survivors and non-survivors in our cohort, we next used the Youden-index method to establish ideal cut-off values for each serum marker.
The optimal cut-off values for CA19-9 and CRP were 324.15 U/ml and 7.7 mg/L, respectively which further increased the prognostic potential of these markers (Fig. 3a,c). Interestingly, Kaplan-Meier curve analysis using the optimal CEA cut-off value of 4.55 µg/l revealed an highly significant impaired long-term survival for patients with CEA serum levels above 4.55 µg/l (Fig. 3b). In contrast, the ideal cut-off value for the leucocyte count of 8.2 cells/nl was not able to significantly discriminate between patients that succumbed to death early and patients with long-term survival (Fig. 3d).
To further substantiate the prognostic power of the investigated parameters, we next performed univariate Cox-regression analyses of routinely measured tumor markers for hepatobiliary malignancies (CA19-9, CEA and AFP) and standard laboratory markers (haemoglobin, leucocyte count, thrombocyte count, sodium, potassium, calcium, AST, ALT, bilirubin, GGT, AP, and CRP) as well as routine clinical and pathological parameters (age, gender, body mass index (BMI) and TNM-stages). In this univariate analysis, serum levels of CEA, CRP, sodium, haemoglobin and ALP as well as the TNM stage but not CA19-9 or the leucocyte count were predictive factors for long-term survival (Table 3). Subsequently, we included those parameters with a significant result in the univariate analysis into a multivariate Cox-regression analysis. Importantly, this multivariate analysis revealed that besides the T- and M-status, preoperative CEA levels represented the only serum marker that predicted long-term survival after CCA tumor resection (Table 3).
Table 3.
Parameter | Univariate Cox-regression | Multivariate Cox-regression | ||
---|---|---|---|---|
p-value | Hazard-Ratio (95% CI) | p-value | Hazard-Ratio (95% CI) | |
CEA | <0.001*** | 1.046 (1.026–1.067) | 0.035* | 1.030 (1.002–1.058) |
CA19-9 | 0.075 | 1.000 (1.000–1.000) | ||
AFP | 0.287 | 0.966 (0.907–1.029) | ||
CRP | <0.001*** | 1.010 (1.006–1.014) | 0.219 | 1.008 (0.995–1.021) |
WBC | 0.064 | 1.059 (0.997–1.126) | ||
Sodium | 0.026* | 0.950 (0.907–0.994) | 0.872 | 1.011 (0.882–1.159) |
Potassium | 0.797 | 0.942 (0.597–1.487) | ||
Calcium | 0.381 | 1.345 (0.693–2.612) | ||
Haemoglobin | 0.009** | 0.825 (0.715–0.953) | 0.475 | 0.896 (0.663–1.211) |
Thrombocytes | 0.763 | 1.000 (0.998–1.001) | ||
AST | 0.934 | 1.000 (0.999–1.001) | ||
ALT | 0.624 | 0.999 (0.997–1.002) | ||
Bilirubin | 0.269 | 1.030 (0.977–1.085) | ||
GGT | 0.073 | 1.000 (1.000–1.001) | ||
ALP | 0.048* | 1.001 (1.000–1.002) | 0.947 | 1.000 (0.997–1.003) |
Creatinine | 0.693 | 1.169 (0.539–2.533) | ||
Age | 0.929 | 0.999 (0.979–1.020) | ||
BMI | 0.198 | 1.030 (0.958–1.077) | ||
Sex | 0.395 | 1.203 (0.786–1.843) | ||
T stage (T1/2 vs. T3/4) | 0.002** | 2.042 (1.290–3.230) | 0.047* | 2.742 (1.015–7.404) |
N stage | <0.001*** | 2.651 (1.628–4.317) | 0.769 | 1.177 (0.396–3.501) |
M stage | <0.001*** | 2.963 (1.801–4.876) | 0.009* | 4.865 (1.472–16.075) |
WBC: white blood cell count, CRP: C-reactive protein, AST: aspartate transaminase, ALT: alanine transaminase, GGT: γ-Glutamyl transpeptidase, ALP: alkaline phosphatase, CEA: carcinoembryonic antigen, CA 19-9: carbohydrate-Antigen 19-9, AFP: Alpha-fetoprotein.
Discussion
Despite being the second most common primary malignant tumor of the liver, CCA represents a rare type of cancer compared to other malignancies37. Therefore, especially due to small cohort sizes, data on diagnostic or prognostic serum based biomarkers are scarce38,39. Despite the existence of more or less standardized preoperative assessment algorithms (including imaging, liver function tests and the clinical performance status) it has remained challenging to predict which patients will actually benefit from extended liver surgery in terms of postoperative survival. At present, CA19-9 represents the clinically most established biomarker for CCA24, but its potential for the detection of CCA and its capabilities to predict patients’ outcome is still controversial16,21,29. Here, we showed in large cohort of CCA patients undergoing tumor resection at a tertiary referral centre that preoperative levels of circulating CEA but not CA19-9 are an independent prognostic factor and its diagnostic value for early detection of CCA might even be superior to CA19-9 in the setting of a pre-existing benign cholangiopathy like PSC.
Even in rare tumor type like CCA, it has been well established that certain clinical and pathological parameters have an important impact on the patients’ prognosis following tumor resection. As such, negative histologic margins, concomitant partial hepatectomy and a well-differentiated tumor were previously demonstrated as prognostic factors in patients with hilar cholangiocarcinoma40. In line, we demonstrated that the T- and M-stages were independent prognostic factors for resected patients, but this analysis was based on the postoperative histopathological assessment. However, most of these parameters, such as negative resection margins or the exact T-status, are not available in the preoperative decision making, highlighting the need for standardized parameters which are accessible before surgery. CA19-9 is the most commonly used tumor marker in the setting of CCA and e.g. routinely used in the diagnosis of the disease or the monitoring of chemotherapy responses15,19,27,35. It was also suggested to have a prognostic implication for CCA patients undergoing tumor resection17,18. However, while preoperative CA19-9 levels using a cut-off value of 324.15 U/ml discriminated between survivors and non-survivors in Kaplan-Meier curve analysis (see Fig. 3a), statistical significance for the prediction of long-term survival was not reached in univariate Cox-regression analysis in our cohort of patients (see Table 3). Furthermore, CRP levels were recently suggested as a prognostic factor in patients undergoing tumor resection for intrahepatic CCA25. In line, we also found in our cohort of patients that preoperative CRP serum levels are a predictive factor for long-term survival in Kaplan Meier curve analysis and univariate Cox-regression analysis. However, CRP serum levels were higher in patients with advanced TNM-stage (see Suppl. Figure 1c, g and k) which likely reflected an increased rate of cholangitis in e.g. locally advanced tumours. Hence, multivariate Cox-regression analysis including these parameters did not reveal CRP levels as an independent prognostic factor (see Table 3).
The most important finding of our study was that in contrast to CA19-9 and CRP, CEA serum levels at a cut off-value of 4.55 µg/l not only differentiated well between survivors and non-survivors but stood out as the only serum based independent prognostic factor in both univariate and multivariate Cox-regression analysis (see Table 3). CEA is a glycoprotein involved in cell adhesion processes during the fetal development of gastrointestinal tissue41. Usually, the production of CEA ends shortly before birth, but elevations of CEA serum levels can be observed in patients with various malignancies14,22. As such, CEA is routinely used as a tumor marker in the diagnostic workup and the surveillance of patients with colorectal carcinoma22,23. On the histological level, an upregulated expression of CEA was also shown in CCA tumor tissue42. Interestingly, well-differentiated CCA tumours expressed CEA primarily at the apical surface of the tumor glands, whereas the more dedifferentiated tumours showed an increased expression not only at the apical but also at the basolateral surface and in the cytoplasm43. In line, we found a strong trend (p = 0.066) towards higher serum levels of CEA in patients with poorly differentiated tumours compared to moderately differentiated tumor (see Suppl. Figure 2f), arguing that serum CEA can give additional information about tumor biology. However, in the setting of CCA, circulating levels of CEA are less frequently available than CA19-9 levels in daily routine and are often not taken into consideration for treatment decisions in the interdisciplinary tumor board. Here, we showed that CEA serum levels represent an independent prognostic factor for patients undergoing extended tumor resection and should probably be considered as a standard biomarker in the preoperative stratification process for patients with CCA. Importantly, our analysis only gave information on the prognosis of these patients but had no predictive value, meaning that it is unclear if those patients with an unfavourable prognosis in terms of their CEA serum levels might have had benefited to a greater extent from other therapies. However, as prognostic risk scores for CCA are currently not well established44, serum biomarkers could represent a valuable addition to the existing preoperative assessment algorithms to find an ideal and individual therapeutic approach for CCA patients who are often only stratified on imaging and clinical performance scores. In this setting, it is likely that especially preoperative CEA serum concentrations might be integrated into predictive algorithms as a surrogate for different aspects regarding the CCA pathophysiology, rather than being used as “stand alone” marker which determines the patients´ treatment.
Based on the standard CEA cut-off value of 5 µg/l at our institution, only a minority of CCA patients in our cohort (22.2%) showed a “positive” test result. Accordingly, the ideal CEA cut-off value that we established for our cohort for the differentiation between CCA patients and healthy controls (1.55 µg/l) was distinctly lower than the standard cut-off value and even when comparing CCA patients with our smaller cohort of PSC patients this respective cut-off value was only slightly higher (1.85 µg/l), suggesting a low variation of CEA levels in a setting of chronic cholangitis. In contrast, the cut-off values of CA19-9 differed more substantially when comparing CCA patients to healthy controls (15.75 U/ml) versus PSC patients (78.9 U/ml), corroborating the clinical notion that CA19-9 is not specific enough for the surveillance of PSC patients because CA19-9 is often elevated in cholangitis45. In line, in the subgroup of PSC patients analysed in this study, CA19-9 but not CEA significantly correlated with CRP (Suppl. Fig. 4a and b). Moreover, patients with common bile duct stones (CBD stones) had similar circulating levels of CEA but significantly elevated levels of CA19-9 compared to healthy controls, further arguing that CEA might be the more specific biomarker in the setting of CCA (Suppl. Fig. 4c and d). As another limitation of CA19-9, it should also be kept in mind that patients with Lewis negative blood type are unable to express CA19-9 and might therefore be diagnosed as “false-negative”. Despite the interesting hypothesis raised in our study, the exact value of CEA serum levels in the surveillance of PSC patients and the often difficult diagnosis of CCA in this setting is presently not clear and would warrant prospective analysis in a larger cohort of PSC patients. However, given that the diagnostic and prognostic cut-off values in our cohort lay below the laboratory standard cut-off value of 5 µg/l, our present data suggest that beyond the information on whether a patient is “positive” or “negative” for CEA, the exact values for CEA even below the standard cut-off value can have an important diagnostic and prognostic impact and should therefore be recognized in daily clinical care.
Patients and Methods
Study design and patient characteristics
This observational cohort study was designed to evaluate CA19-9, CEA, CRP and other standard laboratory parameters as diagnostic or prognostic serum markers in patients with resectable cholangiocarcinoma. Patients were recruited at University Hospital RWTH Aachen between 2010 and 2016. A total of 190 patients that were admitted for surgery of cholangiocarcinoma (see Table 1) included into this study. Serum samples were collected before any treatment prior to surgery. As a control group, 50 healthy blood donors who are medically examined on a regular basis and showed no sign of hepatic benign or malignant disease were included. Furthermore, 24 patients treated for primary sclerosing cholangitis (PSC) in our outpatient clinic who showed no evidence of malignant transformation were included as a reference group with benign hepatobiliary disease. All PSC patients had been enrolled in an intensive surveillance protocol, including regular clinical and laboratory testing (CA19-9, CEA, AST, ALT, ALP, GGT) as well as regular abdominal ultrasound and CT/MRI-scans. Moreover, we included a cohort of 40 patients with common bile duct stone as a further control population. The study protocol was approved by the local ethics committee and conducted in accordance with the ethical standards laid down in the Declaration of Helsinki and in accordance with the institutional standards (ethics committee of the University Hospital RWTH Aachen, RWTH University, Aachen, Germany).
Measurement of laboratory parameters
All laboratory markers were measured in the local laboratory (Labordiagnostisches Zentrum, LDZ) at University Hospital RWTH Aachen. Circulating levels of serum tumor markers were analyzed with an electrochemiluminescence immunoassay (ECLIA) using the Cobas 8000 e602 modular analyzer series (Hoffmann-La Roche AG, Basel, Switzerland). Standard hematological and clinical chemistry parameters were measured using the Sysmex XN9000 (Sysmex GmbH, Norderstedt, Germany) and the Cobas 8000 c701 (Hoffmann-La Roche AG, Basel, Switzerland).
Statistical analysis
Serum data are given as median and range to reflect the skewed distribution of analysis on human samples. Statistical analyses were performed as recently described46. In brief, Kolmogorov-Smirnov- and Shapiro-Wilk-Test were used to test for normal distribution. Non-parametric data were compared using the Mann-Whitney-U-Test and for multiple comparisons the Kruskal-Wallis-Test. Box plot graphics display a statistical summary of the median, quartiles and ranges. Correlation analyses were performed using the Spearman correlation tests. ROC curves were generated by plotting sensitivity against 1-specificity. The optimal cut-off values for ROC curves were established using the Youden-Index (YI = sensitivity + specificity −1). Kaplan-Meier curves were plotted to display the impact on survival. Log-rank test was used to test for differences between subgroups in Kaplan-Meier curve analysis. The prognostic value of the variables was further tested by univariate and multivariate analysis in the Cox regression model. All statistical analyses were performed with SPSS 23 (SPSS, Chicago, IL, USA)47. A p-value of < 0.05 was considered statistically significant (*p < 0.05; **p < 0.01; ***p < 0.001)
Data availability
The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.
Electronic supplementary material
Acknowledgements
Work in the lab of T.L. was supported by the German Cancer Aid (Deutsche Krebshilfe 110043 and a Mildred-Scheel-Professorship), the German-Research-Foundation (SFB-TRR57/P06 and LU 1360/3-1), the Ernst-Jung-Foundation Hamburg, the IZKF (interdisciplinary centre of clinical research) Aachen and a grant from the medical faculty of the RWTH Aachen. Moreover, this work was supported by project grants from the German Research Foundation (DFG RO 4317/4-1) and a START grant from the medical faculty RWTH Aachen to C.R.
Author Contributions
T.L., U.P.N., C.R. and S.H.L. designed the study; U.P.N., C.H.D., W.S., G.L., T.F.U., M.B. recruited the patients; S.H.L. performed experiments and acquired data; S.H.L. and C.R. performed statistical analysis and generated figures and tables; C.T., T.L.o., A.K., M.V., A.T.S., K.L.K. and F.T. provided intellectual input; S.H.L., T.L. and C.R. drafted the manuscript; all authors approved the paper.
Competing Interests
The authors declare that they have no competing interests.
Footnotes
Sven H. Loosen and Christoph Roderburg contributed equally to this work.
Ulf P. Neumann and Tom Luedde jointly supervised this work.
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-017-17175-7.
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References
- 1.Razumilava N, Gores GJ. Cholangiocarcinoma. Lancet. 2014;383:2168–2179. doi: 10.1016/S0140-6736(13)61903-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Valle JW, et al. Biliary cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2016;27:v28–v37. doi: 10.1093/annonc/mdw324. [DOI] [PubMed] [Google Scholar]
- 3.Bragazzi MC, et al. Cholangiocarcinoma: Epidemiology and risk factors. Translational Gastrointestinal Cancer. 2011;1:21–32. [Google Scholar]
- 4.Nakeeb A, et al. Cholangiocarcinoma. A spectrum of intrahepatic, perihilar, and distal tumors. Ann. Surg. 1996;224:463-73–5. doi: 10.1097/00000658-199610000-00005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Guglielmi A, et al. Intrahepatic cholangiocarcinoma: prognostic factors after surgical resection. World J. Surg. 2009;33:1247–54. doi: 10.1007/s00268-009-9970-0. [DOI] [PubMed] [Google Scholar]
- 6.Serrablo A, Tejedor L. Outcome of surgical resection in Klatskin tumors. World J. Gastrointest. Oncol. 2013;5:147–58. doi: 10.4251/wjgo.v5.i7.147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Matull W-R, et al. R0 but not R1/R2 resection is associated with better survival than palliative photodynamic therapy in biliary tract cancer. Liver Int. 2011;31:99–107. doi: 10.1111/j.1478-3231.2010.02345.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kang MJ, et al. Actual Long-Term Survival Outcome of 403 Consecutive Patients with Hilar Cholangiocarcinoma. World J. Surg. 2016;40:2451–9. doi: 10.1007/s00268-016-3551-9. [DOI] [PubMed] [Google Scholar]
- 9.Weber SM, et al. Intrahepatic cholangiocarcinoma: expert consensus statement. HPB (Oxford). 2015;17:669–80. doi: 10.1111/hpb.12441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Poruk KE, Pawlik TM, Weiss MJ. Perioperative Management of Hilar Cholangiocarcinoma. J. Gastrointest. Surg. 2015;19:1889–99. doi: 10.1007/s11605-015-2854-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ruys AT, Busch OR, Rauws EA, Gouma DJ, van Gulik TM. Prognostic impact of preoperative imaging parameters on resectability of hilar cholangiocarcinoma. HPB Surg. 2013;2013:657309. doi: 10.1155/2013/657309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chaiteerakij R, et al. A new clinically based staging system for perihilar cholangiocarcinoma. Am. J. Gastroenterol. 2014;109:1881–90. doi: 10.1038/ajg.2014.327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ballehaninna UK, Chamberlain RS. The clinical utility of serum CA 19-9 in the diagnosis, prognosis and management of pancreatic adenocarcinoma: An evidence based appraisal. J. Gastrointest. Oncol. 2012;3:105–19. doi: 10.3978/j.issn.2078-6891.2011.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Zhang Y, et al. Tumor markers CA19-9, CA242 and CEA in the diagnosis of pancreatic cancer: a meta-analysis. Int. J. Clin. Exp. Med. 2015;8:11683–91. [PMC free article] [PubMed] [Google Scholar]
- 15.Liang B, et al. Diagnostic Accuracy of Serum CA19-9 in Patients with Cholangiocarcinoma: A Systematic Review and Meta-Analysis. Med. Sci. Monit. 2015;21:3555–63. doi: 10.12659/MSM.895040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Qin X-L, et al. Utility of serum CA19-9 in diagnosis of cholangiocarcinoma: in comparison with CEA. World J. Gastroenterol. 2004;10:427–32. doi: 10.3748/wjg.v10.i3.427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kato Y, Takahashi S, Gotohda N, Konishi M. Prognostic Impact of the Initial Postoperative CA19-9 Level in Patients with Extrahepatic Bile Duct Cancer. J. Gastrointest. Surg. 2016;20:1435–43. doi: 10.1007/s11605-016-3180-5. [DOI] [PubMed] [Google Scholar]
- 18.Cai W-K, et al. Preoperative serum CA19-9 levels is an independent prognostic factor in patients with resected hilar cholangiocarcinoma. Int. J. Clin. Exp. Pathol. 2014;7:7890–8. [PMC free article] [PubMed] [Google Scholar]
- 19.Lee BS, et al. Prognostic value of CA 19-9 kinetics during gemcitabine-based chemotherapy in patients with advanced cholangiocarcinoma. J. Gastroenterol. Hepatol. 2016;31:493–500. doi: 10.1111/jgh.13059. [DOI] [PubMed] [Google Scholar]
- 20.Lin M-S, Huang J-X, Yu H. Elevated serum level of carbohydrate antigen 19-9 in benign biliary stricture diseases can reduce its value as a tumor marker. Int. J. Clin. Exp. Med. 2014;7:744–50. [PMC free article] [PubMed] [Google Scholar]
- 21.Ince AT, et al. Roles of serum and biliary CEA, CA19-9, VEGFR3, and TAC in differentiating between malignant and benign biliary obstructions. Turk. J. Gastroenterol. 2014;25:162–9. doi: 10.5152/tjg.2014.6056. [DOI] [PubMed] [Google Scholar]
- 22.Das V, Kalita J, Pal M. Predictive and prognostic biomarkers in colorectal cancer: A systematic review of recent advances and challenges. Biomed. Pharmacother. 2017;87:8–19. doi: 10.1016/j.biopha.2016.12.064. [DOI] [PubMed] [Google Scholar]
- 23.Sørensen CG, Karlsson WK, Pommergaard H-C, Burcharth J, Rosenberg J. The diagnostic accuracy of carcinoembryonic antigen to detect colorectal cancer recurrence – A systematic review. Int. J. Surg. 2016;25:134–144. doi: 10.1016/j.ijsu.2015.11.065. [DOI] [PubMed] [Google Scholar]
- 24.Malaguarnera G, et al. Serum markers of intrahepatic cholangiocarcinoma. Dis. Markers. 2013;34:219–28. doi: 10.1155/2013/196412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lin Z-Y, et al. Intrahepatic cholangiocarcinoma prognostic determination using pre-operative serum C-reactive protein levels. BMC Cancer. 2016;16:792. doi: 10.1186/s12885-016-2827-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Gerhardt T, et al. C-reactive protein is a prognostic indicator in patients with perihilar cholangiocarcinoma. World J. Gastroenterol. 2006;12:5495–500. doi: 10.3748/wjg.v12.i34.5495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bergquist JR, et al. Implications of CA19-9 elevation for survival, staging, and treatment sequencing in intrahepatic cholangiocarcinoma: A national cohort analysis. J. Surg. Oncol. 2016;114:475–82. doi: 10.1002/jso.24381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Patel AH, Harnois DM, Klee GG, LaRusso NF, Gores GJ. The utility of CA 19-9 in the diagnoses of cholangiocarcinoma in patients without primary sclerosing cholangitis. Am. J. Gastroenterol. 2000;95:204–7. doi: 10.1111/j.1572-0241.2000.01685.x. [DOI] [PubMed] [Google Scholar]
- 29.Björnsson E, Kilander A, Olsson R. CA19-9 and CEA are unreliable markers for cholangiocarcinoma in patients with primary sclerosing cholangitis. Liver. 1999;19:501–8. doi: 10.1111/j.1478-3231.1999.tb00083.x. [DOI] [PubMed] [Google Scholar]
- 30.Wittekind, C., Gospodarowicz, M. K. & Sobin, L. H. UICC: TNM Classification of Malignant Tumors, 7th Edition. (Wiley-Blackwell, 2010).
- 31.Venkatesh PGK, Navaneethan U, Shen B, McCullough AJ. Increased serum levels of carbohydrate antigen 19-9 and outcomes in primary sclerosing cholangitis patients without cholangiocarcinoma. Dig. Dis. Sci. 2013;58:850–7. doi: 10.1007/s10620-012-2401-3. [DOI] [PubMed] [Google Scholar]
- 32.Bi C, et al. [Analysis of the survival of 123 patients with intrahepatic cholangiocarcinoma after surgical resection] Zhonghua Zhong Liu Za Zhi. 2016;38:466–71. doi: 10.3760/cma.j.issn.0253-3766.2016.06.012. [DOI] [PubMed] [Google Scholar]
- 33.Wang Y, Yang H, Shen C, Luo J. Cholangiocarcinoma: prognostic factors after surgical resection in China. Int. J. Clin. Exp. Med. 2015;8:5506–12. [PMC free article] [PubMed] [Google Scholar]
- 34.Wang Y, et al. Long-term outcome after surgical resection for cholangiocarcinoma and prognostic index value. Surgeon. 2016;14:38–43. doi: 10.1016/j.surge.2014.05.003. [DOI] [PubMed] [Google Scholar]
- 35.Kondo N, et al. Elevated perioperative serum CA 19-9 levels are independent predictors of poor survival in patients with resectable cholangiocarcinoma. J. Surg. Oncol. 2014;110:422–9. doi: 10.1002/jso.23666. [DOI] [PubMed] [Google Scholar]
- 36.Sauzay C, et al. Alpha-foetoprotein (AFP): A multi-purpose marker in hepatocellular carcinoma. Clin. Chim. Acta. 2016;463:39–44. doi: 10.1016/j.cca.2016.10.006. [DOI] [PubMed] [Google Scholar]
- 37.Patel T. Increasing incidence and mortality of primary intrahepatic cholangiocarcinoma in the United States. Hepatology. 2001;33:1353–7. doi: 10.1053/jhep.2001.25087. [DOI] [PubMed] [Google Scholar]
- 38.Viterbo D, Gausman V, Gonda T. Diagnostic and therapeutic biomarkers in pancreaticobiliary malignancy. World J. Gastrointest. Endosc. 2016;8:128–42. doi: 10.4253/wjge.v8.i3.128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hu J, Yin B. Advances in biomarkers of biliary tract cancers. Biomed. Pharmacother. = Biomédecine pharmacothérapie. 2016;81:128–35. doi: 10.1016/j.biopha.2016.02.045. [DOI] [PubMed] [Google Scholar]
- 40.Jarnagin WR, et al. Staging, resectability, and outcome in 225 patients with hilar cholangiocarcinoma. Ann Surg. 2001;234:507–509. doi: 10.1097/00000658-200110000-00010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Nicholson, B. D. et al. in Cochrane Database of Systematic Reviews (ed. Nicholson, B. D.) CD011134, 10.1002/14651858.CD011134.pub2 (John Wiley & Sons, Ltd, 2015).
- 42.Brumm C, Schulze C, Charels K, Morohoshi T, Klöppel G. The significance of alpha-fetoprotein and other tumour markers in differential immunocytochemistry of primary liver tumours. Histopathology. 1989;14:503–13. doi: 10.1111/j.1365-2559.1989.tb02186.x. [DOI] [PubMed] [Google Scholar]
- 43.Nonomura A, et al. Immunohistochemical localization of ras p21 and carcinoembryonic antigens (CEA) in cholangiocarcinoma. Liver. 1987;7:142–8. doi: 10.1111/j.1600-0676.1987.tb00334.x. [DOI] [PubMed] [Google Scholar]
- 44.Saito H, et al. A new prognostic scoring system using factors available preoperatively to predict survival after operative resection of perihilar cholangiocarcinoma. Surgery. 2016;159:842–51. doi: 10.1016/j.surg.2015.10.027. [DOI] [PubMed] [Google Scholar]
- 45.Wannhoff A, et al. Inflammation But Not Biliary Obstruction Is Associated With Carbohydrate Antigen 19-9 Levels in Patients With Primary Sclerosing Cholangitis. Clin. Gastroenterol. Hepatol. 2015;13:2372–2379. doi: 10.1016/j.cgh.2015.07.014. [DOI] [PubMed] [Google Scholar]
- 46.Roderburg C, et al. Persistently elevated osteopontin serum levels predict mortality in critically ill patients. Crit. Care. 2015;19:271. doi: 10.1186/s13054-015-0988-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Koch A, et al. Circulating soluble urokinase plasminogen activator receptor is stably elevated during the first week of treatment in the intensive care unit and predicts mortality in critically ill patients. Crit. Care. 2011;15:R63. doi: 10.1186/cc10037. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Data Availability Statement
The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.