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. Author manuscript; available in PMC: 2008 Oct 1.
Published in final edited form as: Clin Gastroenterol Hepatol. 2007 Aug 6;5(10):1221–1228. doi: 10.1016/j.cgh.2007.05.020

Risk factors for intra- and extrahepatic cholangiocarcinoma in the United States: a population based case-control study

Tania M Welzel 1, Barry I Graubard 1, Hashem B El-Serag 2, Yasser H Shaib 2, Ann W Hsing 1, Jessica A Davila 2, Katherine A McGlynn 1
PMCID: PMC2083573  NIHMSID: NIHMS32399  PMID: 17689296

Abstract

Background & Aims

Intrahepatic and extrahepatic cholangiocarcinomas are rare and highly malignant cancers of the bile duct. While the incidence of extrahepatic cholangiocarcinoma (ECC) has remained constant, the incidence of intrahepatic cholangiocarcinoma (ICC) has increased in the United States. As the etiology of both tumors is poorly understood, a population-based case-control study was conducted to examine the association of ECC and ICC with pre-existing medical conditions.

Methods

Medical conditions among 535 ICC patients, 549 ECC patients (diagnosed 1993-1999) and 102,782 cancer-free controls were identified using the Surveillance, Epidemiology and End Results-Medicare databases. Logistic regression analysis was used to calculate adjusted odds ratios.

Results

In addition to established risk factors (choledochal cysts, cholangitis, inflammatory bowel disease), several other conditions were significantly associated with ECC and ICC: biliary cirrhosis (ECC, ICC: p=0.0001), cholelithiasis (ECC, ICC: p=<0.0001), alcoholic liver disease (ECC p<0.0001; ICC p=0.01), nonspecific cirrhosis (ECC, ICC: p<0.0001), diabetes (ECC, ICC: p=<0.0001), thyrotoxicosis (ECC p=0.006; ICC p=0.04) and chronic pancreatitis (ECC, ICC: p=<0.0001). Conditions only associated with ICC were obesity (ECC p=0.75; ICC p<0.01), chronic non-alcoholic liver disease (ECC p<0.08; ICC p=0.02), hepatitis C virus infection (ECC p<0.67; ICC p=0.01) and smoking (ECC p=0.07, ICC p=0.04).

Conclusions

Several novel associations with ECC and ICC were identified. HCV infection, chronic non-alcoholic liver disease and obesity, all of which are increasing in incidence, and smoking were associated only with ICC, suggesting that these conditions may explain the divergent incidence trends of the tumors.


Cholangiocarcinomas are highly fatal tumors of the bile duct that are anatomically classified as intrahepatic (ICC) or extrahepatic according to their location with respect to the liver.1, 2 In low incidence areas such as the United States, risk factors for the tumors are poorly characterized.

Despite differences in clinical and pathological presentation, both ICC and ECC have been associated with pre-existing medical conditions such as Caroli disease, primary sclerosing cholangitis and inflammatory bowel disease.3-6 Liver flukes and Thorotrast exposure have also been associated with both tumors. Recent evidence suggests, however, that the etiopathogenesis of ECC and ICC may differ. For example, it has been reported that ICC and hepatocellular carcinoma (HCC) may arise from common progenitor cells, particularly in patients with chronic liver disease.7, 8 In support of this hypothesis are the similar, increasing, temporal incidence trends in HCC and ICC in the United States.9 Rates of ECC, by contrast, have remained constant.10 In addition, a recent study reported that ICC may be associated with hepatitis C virus infection (HCV), alcoholic liver disease and diabetes,11 conditions that are also related to HCC.12 It is unclear, however, whether these conditions are also associated with ECC.

To date, no studies have investigated risk factors for cholangiocarcinoma by anatomical site. Therefore, it was the goal of this study to extend our previous investigation13 of ICC risk factors in order to examine the association between pre-existing medical conditions and development of ECC and ICC.

Materials and Methods

Data Source

The data for this study were obtained from the Surveillance, Epidemiology, and End Results (SEER)-Medicare databases which link cancer registry data and Medicare enrollment and claims files. The National Cancer Institute's SEER Program is an ongoing, contract-supported effort that collects information on cancer incidence and survival in the United States.14 During the study period, 1993-1999, SEER included eleven population-based cancer registries in 5 states and 6 metropolitan areas (Connecticut, Hawaii, Iowa, New Mexico, Utah and Atlanta, Detroit, Los Angeles, San Francisco/Oakland, San Jose, Seattle), covering approximately 14% of the US population. Information on patient demographics, tumor site, morphology, and stage at diagnosis, treatment, and follow-up information are obtained by SEER registries from hospital and outpatient records. The quality and completeness of the data are ascertained in yearly studies. The population covered by SEER registries is comparable to the US population in educational levels and measures of poverty, however, it is more urban and has a higher proportion of foreign-born persons. During the study period, the classification of malignancies was based on the International Classification of Diseases for Oncology, Version 2 (ICD-O2).15

Medicare, administered by the Centers for Medicare & Medicaid Services (CMS), is the primary health insurer for 97% of the US population aged 65 years and older. Medicare also covers patients under age 65 with certain disabilities, and people of all ages with end-stage renal disease. Approximately 99% of Medicare beneficiaries receive part A benefits (Hospital Insurance) and approximately 95% subscribe to part B benefits (Medical Insurance), covering outpatient hospital care and physicians' visits.16 Data on Medicare claims are available for Medicare parts A and B. These files contain dates of service, ICD 9th revision, clinical modification (ICD-9-CM) diagnosis codes and Current Procedural Terminology (CPT, Version 4) codes for all billed claims.

Details on the SEER-Medicare databases, first linked in 1991, have been described previously.17 Briefly, SEER registries provide individual identifiers for all persons in their files. The identifiers are matched to the identifiers contained in the Medicare master enrollment file. For each of the linkages, 93 percent of persons age 65 and older in the SEER files have been matched to the Medicare enrollment file.

Study Population

All patients age 65 years of age and older who were diagnosed with ECC or ICC between 1993 and 1999 in the SEER11 registries were eligible for study inclusion. The identification of cases followed the histologic classification suggested by the World Health Organization.18 ECCs were defined by topography code C24.0 (extrahepatic bile duct) and morphology codes 8010, 8020, 8041, 8070, 8140, 8144, 8160, 8161, 8260, 8310, 8480, 8490, 8560 and 8162. ICCs were identified by topography code C22.0 (liver) and morphology codes 8160 and 8161, or by topography code C22.1 (intrahepatic bile duct) and morphology codes 8010, 8020, 8140, 8160, and 8161. Only patients enrolled in Medicare Parts A and B for at least 3 years before diagnosis of ECC or ICC were eligible for inclusion to insure adequate time for prior diagnoses to be recorded. This criterion resulted in a minimum age of 68 years of the study participants.

Patient exclusion criteria included: 1) patients younger than age 65 years at diagnoses of ICC or ECC, 2) persons enrolled in Medicare because of disabilities or end-stage renal disease, 3) patients with unspecified diagnostic confirmation of ICC or ECC, 4) patients with ICC or ECC identified solely by autopsy or death certificate, 5) patients enrolled in a health maintenance organization (HMO) during the study period as Medicare HMO plans are not required to submit individual claims to the Centers for Medicare and Medicaid Services,19 6) patients with prior diagnoses of stomach, colon, lung, pancreatic, breast, or rectal cancers.

Individuals with no prior cancer diagnoses were selected as controls from a 5% random sample of Medicare-enrolled beneficiaries who resided in the geographic regions of the SEER11 registries. Control selection was based on the same inclusion/exclusion criteria as used for case selection.

Risk Factor Assessment

Selected medical conditions were identified on the basis of Medicare part A or B claims for the 3 years preceding the diagnosis of ECC or ICC. Controls were assigned a pseudo-diagnosis date using a random number generator. Cases and controls were matched on the year of search for risk factors to minimize possible diagnostic trends. Risk factors for ICC or ECC were categorized into five diagnostic groups based on ICD-9 or CPT- codes.20 In addition to the main analysis, two sensitivity analyses were performed to examine the stability of the results. The first excluded medical condition diagnosed in the year preceding the cancer diagnosis in order to investigate the impact of possible diagnostic detection bias. The second sensitivity analysis excluded all ECC or ICC cases without strong diagnostic confirmation.

The biliary tract conditions and operations group included choledochal cysts (ICD-9 code 751.69), cholangitis (ICD-9 codes 575.8 and 576.1), biliary cirrhosis (ICD-9 code 571.6), cholelithiasis (ICD-9 code 574), choledocholithiasis (ICD-9 code 574.5), cholecystitis (ICD-9 codes 575.0, 575.11, 575.12), cholecystectomy (CPT-4 code 51), and liver flukes (ICD-9 codes 121.0, 121.11, 121.3). As primary sclerosing cholangitis does not have a separate ICD code it could only be examined as part of the cholangitis group.

The chronic liver disease group included hemochromatosis (ICD-9 code 275.0), alcoholic liver disease, nonspecific cirrhosis and chronic non-alcoholic liver disease. Alcoholic liver disease was defined as the presence of alcoholic fatty liver disease (ICD-9 code 571.0), alcoholic hepatitis (ICD-9 code 571.1), alcoholic cirrhosis of the liver (ICD-9 code 571.2), alcoholic liver damage (ICD-9 code 571.3), or cirrhosis (ICD-9 codes 571.5, 571.6) in the presence of alcoholism (ICD-9 codes 291, 303, 305.0). Nonspecific cirrhosis was defined as the presence of cirrhosis (ICD-9 codes 571.5, 571.6) without HCV, HBV, or alcoholic liver disease. Chronic non-alcoholic liver disease was defined by ICD-9 code 571.8. HCV was defined by ICD-9 codes 070.41, 070.44, 070.51, 070.54 and 070.7.

The endocrine disorders group included type II diabetes mellitus (ICD-9 code 250) and thyrotoxicosis (ICD-9 codes 242.0). The digestive disorders group included duodenal ulcer (ICD-9 code 532), chronic pancreatitis (ICD-9 code 577.1), and the inflammatory bowel diseases: ulcerative colitis (ICD-9 codes 556, 556.9, 556.1, 556.2, 556.3, 556.5, 556.6, and 557.0) and Crohn's disease (ICD-9 codes 555). The miscellaneous conditions group was composed of smoking (ICD-9 code V15.82) and obesity (ICD-9 codes 278.00, 278.01, 278.02, V77.8)

Statistical Analysis

Covariates included age, race, geographic region, and state buy-in status. Race was classified as white, black, Hispanic, Asian, and other. Geographic region was categorized according to the SEER11 registries. The Medicare state buy-in variable indicates whether a third-party pays a beneficiary's Medicare premiums, and was thus used as an indicator of lower socioeconomic status.

Demographic features and pre-existing medical conditions were compared between cases and controls using t- tests for continuous variables and Chi-square or Fisher's exact tests for categorical variables. Logistic regression, adjusted for age, sex, race, geographic region, and state buy-in status, was used to calculate odds ratios (OR) and 95% confidence intervals (95%CI) to examine the associations. Wald χ2 tests were used to determine the significance of variables in the logistic regressions. Tests of statistical significance and confidence intervals were two-sided; p<0.05 was considered statistically significant. Statistical analyses were performed using SAS Version 9.1 (SAS Institute, Cary, NC).

Results

Between 1993 and 1999, 2091 cholangiocarcinomas (ICC: n=1989, 52.2%; ECC: n=1002, 47.9%) were diagnosed in the SEER11 registries. Of these, 549 (54.8%) ECC and 535 (49.1%) ICC patients met the study inclusion criteria. 453 ECC and 554 ICC patients were excluded for the following reasons: 177 ECC and 177 ICC patients were enrolled in Medicare for less then three years before the tumor diagnosis, 213 ECC and 248 ICC patients were not enrolled in both Medicare parts A and B or were part of a HMO, 41 ECC patients and 103 ICC patients were missing information on diagnostic confirmation, 4 ECC and 6 ICC cases were reported solely by autopsy or death certificate and 18 ECC and 17 ICC patients had prior diagnoses of stomach, colon, lung, pancreatic, breast or rectal cancer. Three ICC patients were excluded due to imprecise date of cancer diagnosis. Of 341,032 possible controls with no prior diagnosis of cancer, 102,782 met the inclusion criteria. Exclusions included 98,690 persons with less then three years of continuous enrollment in Medicare, 137,079 persons who were not enrolled in both Medicare parts A and B or were enrolled in an HMO and 2481 persons who relocated outside a SEER11 registry area during the study period.

The demographic characteristics of the study population are summarized in Table 1. The mean age of the ECC and ICC cases was greater than that of controls (p<0. 0001), however, the mean age of the ECC and ICC cases did not differ (p = 0.56). Compared to controls, both sets of cases had a significantly greater proportion of males (p<0.0001). A comparison of ECC to ICC cases, however, found no significant difference in gender (p=0.33).

Table 1.

Demographic characteristics of the study participants

ECC cases
(n=549)
ECC vs. controls p value ICC cases
(n=535)
ICC vs. controls p value Controls
(n=102,782)
ICC vs. ECC p value

n % n % n %
Mean age in yrs (s.d.) 78.7 6.9 <0.001 79 6.4 <0.001 77.1 6.8 0.6
Sex <0.001 <0.001 0.3
 Female 269 49.0 278 52.0 65,639 63.9
 Male 280 51.0 257 48.0 37,143 36.1
Race/ethnicity <0.001 <0.001 0.04
 White 468 85.3 448 83.7 87,569 85.2
 Black 26 4.7 25 4.7 6,746 6.6
 Hispanic 11 2.0 5 0.9 2,116 2.1
 Asian 12 2.2 29 5.4 3,589 3.5
 Other 32 5.8 28 5.2 2,762 2.7
Geographic location 0.03 0.02 0.04
 Atlanta 28 5.1 30 5.6 6,567 6.4
 Utah 22 4.0 19 3.6 5,047 4.9
 Connecticut 75 13.7 77 14.4 14,254 13.9
 Detroit 118 21.5 78 14.6 16,199 15.8
 Hawaii 16 2.9 23 4.3 2,812 2.7
 Iowa 87 15.9 78 14.6 14,287 13.9
 Los Angeles 76 13.8 76 14.2 15,855 15.4
 New Mexico 24 4.4 14 2.6 5,238 5.1
 San Francisco 31 5.7 46 8.6 7,670 7.5
 San Jose 21 3.8 23 4.3 4,572 4.5
 Seattle 51 9.3 71 13.3 10,281 10.0
Dual Enrollment1 0.2 0.5 0.7
 Ever 90 16.4 83 15.5 14,809 14.4
1

state buy-in status

The great majority of all participants were white, but there were significant differences in the distribution of other races/ethnicities (ECC vs. controls, p<0.0001; ICC vs. controls, p<0.0001; ICC vs. ECC, p=0.04). Geographic location also differed among all three groups (ECC vs. controls, p<0.03; ICC vs. controls, p<0.02; ICC vs. ECC, p=0.04), although there was no difference in dual enrollment status (Table 1).

Table 2 displays the frequency of pre-existing medical conditions grouped under five headings.

Table 2.

Comparison of pre-existing medical conditions among ECC cases, ICC cases and controls1

ECC Cases
(n=549)
ICC Cases
(n=535)
Controls
(n=102,782)

n % p value n % p value n %
Biliary tract conditions and operations
 Cholecochal cysts 27 4.9 <0.001 21 3.9 <0.001 108 0.1
 Cholangitis 50 9.1 <0.001 67 12.5 <0.001 201 0.2
 Biliary cirrhosis <5 <0.9 0.003 5 0.9 <0.001 53 0.1
 Cholelithiasis 202 36.8 <0.001 172 32.1 <0.001 4,273 4.2
 Choledocholithiasis 87 15.8 <0.001 59 11 <0.001 543 0.5
 Cholecystitis 42 7.7 <0.001 29 5.4 <0.001 973 0.9
 Cholecystectomy 87 15.8 <0.001 41 7.7 <0.001 1,649 1.6
 Liver flukes - - - - - - - -
Chronic liver diseases
 Alcoholic liver disease 8 1.5 <0.001 5 0.9 0.008 310 0.3
 Nonspecified cirrhosis 10 1.8 <0.001 17 3.2 <0.001 359 0.3
 Hemochromatosis <5 <0.9 0.25 <5 <0.9 0.05 282 0.3
 Chronic non-alcoholic liver disease <5 <0.9 0.08 5 0.9 0.03 353 0.3
 HCV infection <5 <0.9 0.36 <5 <0.9 0.03 142 0.1
Endocrine Disorders
 Diabetes mellitus type II 165 30.1 <0.001 177 33.1 <0.001 22,764 22.1
 Thyrotoxicosis 30 5.5 0.04 27 5 0.12 3,864 3.8
Digestive disorders
 Inflammatory Bowel Disease 10 1.8 0.03 18 3.4 <0.001 936 0.9
  Crohn's Disease 6 1.1 0.02 5 0.9 0.06 419 0.4
  Ulcerative Colitis 5 0.9 0.11 13 2.4 <0.001 595 0.6
 Duodenal ulcer 20 3.6 0.001 34 6.4 <0.001 1,836 1.8
 Chronic pancreatitis 13 2.4 <0.001 8 1.5 <0.001 272 0.3
Miscellaneous conditions
 Smoking 12 2.2 0.03 12 2.2 0.02 1,212 1.2
 Obesity 16 2.9 0.79 23 4.3 0.12 3,201 3.1
1

Cells sizes less than five are suppressed according to the SEER-Medicare data use agreement

2

Fisher's Exact test used to compute p value where n<5

Biliary tract conditions and operations

All bile duct conditions and operations except liver flukes were significantly more prevalent among the cases than the controls. The prevalence of liver fluke infestation was uniformly low among all participants (0 among cases; 4 among controls).

Chronic liver diseases

Alcoholic liver disease and nonspecific cirrhosis were significantly more common among both ECC and ICC cases than controls. In contrast, hemochromatosis (p=0.05), chronic non-alcoholic liver disease (p=0.03) and HCV infection (p=0.03) were significantly more prevalent only among the ICC cases.

Endocrine disorders

Type II diabetes was significantly more common among both ECC and ICC cases than controls (p=<0.0001). The prevalence of thyrotoxicosis was significantly higher only among the ECC cases (p=.04).

Digestive disorders

Inflammatory bowel disease (IBD) was significantly higher among both ICC and ECC cases than controls (p = .04 and p<.0001, respectively). However, when IBD was categorized into its components, Crohn's disease was significantly more common only among the ECC cases (p=0.02), while ulcerative colitis was significantly more common only among the ICC cases (p<0.0001). Duodenal ulcer and chronic pancreatitis were both significantly more common in ECC and ICC cases compared to controls.

Miscellaneous risk factors

Cigarette smoking was significantly more common among both ECC and ICC cases than the controls. There was no significant difference however, in the prevalence of obesity among the groups

Table 3 presents the results of the multivariate analysis, adjusted for demographic characteristics (sex, age, and race) and socioeconomic (state buy-in) status. Most conditions that were associated with ECC and/or ICC in the univariate analysis remained significant in the multivariate analysis. There were no changes among the biliary tract conditions. Among the liver diseases, non-alcoholic liver disease and HCV remained significantly associated with ICC, but the hemochromatosis association became of borderline significance.

Table 3.

Multiple logistic regression analysis examining the association between selected medical conditions and ECC or ICC, adjusted for age, gender, race, geographic location, and state buy-in status

ECC Cases
(n=549)
ICC Cases
(n=535)

95% Confidence 95% Confidence
OR Interval p-value OR Interval p-value
Bile duct diseases
 Cholecochal cysts 47.1 30.4-73.2 <0.001 36.9 22.7 - 59.7 <0.001
 Cholangitis 45.7 32.9-63.6 <0.001 64.2 47.7 - 86.5 <0.001
 Biliary cirrhosis 11.8 3.7-38.2 <0.001 19.8 7.8 - 49.9 <0.001
 Cholelithiasis 11.0 9.1-13.2 <0.001 13.5 11.3 - 16.1 <0.001
 Choledocholithiasis 34.0 26.6-43.6 <0.001 22.5 16.9 - 30.0 <0.001
 Cholecystitis 5.9 4.0-8.6 <0.001 8.5 6.1 - 11.7 <0.001
 Cholecystectomy 12.0 9.5-15.3 <0.001 5.4 3.9 - 7.5 <0.001
 Liver Flukes - - - - - -
Chronic liver diseases
 Alcoholic liver disease 4.5 2.2-9.1 <0.001 3.1 1.3 - 7.5 0.01
 Nonspecified cirrhosis 5.4 2.9-10.2 <0.001 10.0 6.1 - 16.4 <0.001
 Hemochromatosis 1.3 0.3-5.2 0.73 2.6 1.0 - 7.0 0.06
 Non-alcoholic liver disease 2.4 0.9-6.5 0.08 3.0 1.2 - 7.3 0.02
 HCV infection 1.5 0.2-11.0 0.67 4.4 1.4 - 14.0 0.01
Endocrine disorders
 Diabetes mellitus type II 1.5 1.3-1.8 <0.001 1.8 1.5 - 2.1 <0.001
 Thyrotoxicosis 1.7 1.2-2.4 0.006 1.5 1.0 - 2.2 0.04
Digestive disorders
 IBD 2.1 1.1-4.0 0.02 4.0 2.5 - 6.4 <0.001
  Crohn's Disease 2.8 1.3-6.4 0.01 2.4 1.0 - 5.9 0.05
  Ulcerative Colitis 1.7 0.7-4.0 0.27 4.5 2.6 - 7.9 <0.001
 Duodenal ulcer 1.9 1.2-3.0 0.005 3.4 2.4 - 4.8 <0.001
 Chronic pancreatitis 9.3 5.30-16.46 <0.001 5.9 2.9 - 12.0 <0.001
Miscellaneous conditions
 Smoking 1.7 1.0-3.0 0.07 1.8 1.0 - 3.2 0.04
 Obesity 1.1 0.7-1.8 0.71 1.7 1.1 - 2.6 0.01

The multivariate analysis confirmed the significant association between diabetes and both ECC and ICC. In addition, thyrotoxicosis became significantly associated with ICC (p=0.04) and remained associated with ECC (p=0.006). Among the digestive disorders, duodenal ulcer, and chronic pancreatitis remained significantly associated with both ECC and ICC. Inflammatory bowel disease also remained significantly associated, with Crohn's disease overrepresented among ECC and ICC cases, and ulcerative colitis overrepresented only among ICC patients. Among the miscellaneous conditions, smoking remained significantly associated with ICC (p=0.04) and obesity became significantly associated with ICC (p=0.01).

In the first sensitivity analysis, ECC or ICC cases without strong diagnostic confirmation, i.e. cases without positive histology or cytology, were excluded. Eighty-five percent of the ECC cases and 70% of the ICC cases had tissue confirmation. No changes in the reported associations were found (data not shown). In the second sensitivity analysis, all pre-existing medical condition diagnosed ≤1 year prior to the cancer diagnoses were excluded. Cholangitis, cholelithiasis, choledocholithiasis, nonspecific cirrhosis, diabetes mellitus, and thyrotoxicosis remained significantly associated with ECC and ICC, while inflammatory bowel disease remained significantly associated with ICC (data not show).

Discussion

In this first-ever U.S. population-based study to examine risk factors for cholangiocarcinoma by anatomical site, several medical conditions were significantly related to both ECC and ICC. These conditions include biliary cirrhosis, cholelithiasis and choledocholithiasis, cholecystitis and cholecystectomy, alcoholic liver disease, liver cirrhosis, type II diabetes, thyrotoxicosis, chronic pancreatitis and possibly duodenal ulcer disease. In addition, HCV infection, obesity, chronic non-alcoholic liver disease, and smoking were significantly more common among ICC, but not ECC, patients. As HCV infection, obesity, and chronic non-alcoholic liver disease are increasing in the US,21-23 these conditions may be contributing to the divergent trends in ECC and ICC and may also explain similar trends in ICC and HCC.24

Among the biliary tract conditions examined, both cholangitis (most likely primary sclerosing cholangitis, PSC) and primary biliary cirrhosis (PBC) were significantly associated with ICC and ECC. PSC and PBC are autoimmune-mediated cholangiopathies25-27 associated with the chronic destruction of bile ducts, but the pathogenesis and pattern of bile duct involvement differ considerably. PSC involves the intra- and extrahepatic biliary tree, is associated with inflammatory bowel disease and is a known risk factor for cholangiocarcinoma.28 Although PSC-related cancers are reported to peak in the 4th or 5th decade,29, 30 the association between PSC and cholangiocarcinoma was also observed the current study's elderly population. In contrast, PBC which occurs in the small intralobular bile ducts, has not previously been associated with cholangiocarcinoma.31 Chronic inflammation and cholestasis, as well as chronic liver damage, are associated with risk of malignant biliary transformation,32 suggesting that an association between PBC and ICC is biologically plausible. However, reasons for the association between PBC and ECC are less clear. The small numbers of PBC and absence of information on diagnostic confirmation suggest that the reported association should be confirmed in other studies. It should also be noted that although the ICD-9 code for biliary cirrhosis refers to primary biliary cirrhosis, it is possible that some secondary biliary cirrhosis diagnoses were included.

As anticipated, Crohn's disease and ulcerative colitis were more prevalent among the cases than the controls. Although ulcerative colitis was only significantly associated with ICC, the relationship with ECC was in the predicted direction and may not have attained significance due to small numbers.

Biliary tract stone disease (cholelithiasis, and choledocholithiasis), as well as possible surrogates for symptomatic lithiasis, cholecystitis and cholecystectomy, were significantly more prevalent in cases than controls. Hepatolithiasis, although uncommon in the West, is endemic in some parts of Asia and has consistently been associated with ICC because of inflammation and epithelial proliferation.33 In parallel, extrahepatic lithiasis may promote chronic inflammatory changes in the extrahepatic bile ducts and thereby increase ECC risk. Reasons why extrahepatic biliary lithiasis would increase the risk for ICC are less clear. However, this association was also reported by a recent ICC case-control study in Denmark.34 Extrahepatic lithiasis may be associated with cholestasis. It is also possible that the increased ICC risk may result from factors that favor the development of biliary lithiasis itself, such as altered bile composition or conditions associated with metabolic syndrome.

Cholecystectomy has been previously reported to be associated with decreased risk for ECC.35 In the ICC study in Denmark, however, cholecystectomy was associated with a non-significant increased risk.36 In the current study, cholecystectomy was more frequent in both ECC and ICC cases than in controls. It should be noted, however, that the majority (85% for ECC and 91% for ICC) of surgical procedures were performed in the year prior to tumor diagnosis, indicating that cholecystectomy may be due to the disease process itself. It is also possible that some patients underwent cholecystectomy for presumed cholecystitis when the symptoms were a result of the underlying cancer.

Chronic liver diseases such as alcoholic liver disease and cirrhosis were significantly associated with ICC, as they were in the previously reported ICC study in Denmark.37 Both alcoholic liver disease and cirrhosis are well established risk factors for HCC.38, 39 Conceivably, alcohol may be related to ICC in a similar way, particularly as there is evidence that both types of primary liver cancers arise from common progenitor cells that may give rise to tumors with hepatocellular or cholangiocellular phenotypes.40 Alcoholic liver disease was also significantly associated with ECC, consistent with a previous study that reported alcohol consumption was a risk factor for ECC among PSC patients (N. Chalasani, personal communication).41

Obesity and non-alcoholic liver disease were significantly associated with ICC but not ECC. In recent years, obesity and non-alcoholic fatty liver disease (NAFLD) have received increasing attention as NAFLD may act as a co-factor in HCV- and alcohol-related liver disease.42-47 In addition, non-alcoholic steatohepatitis (NASH) represents an independent risk factor for the development of liver fibrosis, cirrhosis, and ultimately HCC.48, 49 In the current study, the same constellation of conditions was associated with ICC. If the associations are confirmed, there are possible public health consequences as recent studies suggest that hepatic steatosis may be present in up to one third of the population,50, 51 and NASH may be present in 2-5%. The current study also found that diabetes was significantly associated with ECC and ICC. Although elevated insulin and glucose levels may directly stimulate fibrogenesis and release of connective tissue growth factors and favor inflammatory changes,52-54 the interplay of the components of the metabolic syndrome (obesity, hyperlipidemia, NAFLD, diabetes) is complex, and requires further study to investigate the independent contributions of each factor.

In the current study, HCV infection was associated with ICC, as previously reported11, but not ECC. Recent studies from Korea, Japan and Italy have also reported an association between HCV and cholangiocarcinoma.55-57 In support of these findings, HCV RNA has been isolated from cholangiocarcinoma tissue58 and HCV has been shown to cause bile duct epithelial cell injury.59 Similar to HCV related-HCC, the increased risk of ICC in patients with HCV may result from HCV-associated chronic liver damage.

The current study found a significant association between hyperthyroidism and ICC and ECC, in line with a previous study that reported a higher prevalence of thyroid diseases in cholangiocarcinoma patients.60 Restriction of analyses to patients with autoimmune thyroiditis (Grave's disease) found an increased risk for cholangiocarcinoma, however the association did not attain statistical significance. The association of hypermetabolic state in hyperthyroidism and oxidative tissue injury been summarized in a recent review.61 Elevated thyroxine (T4) and triiodothyronine (T3) levels were reported to alter hepatic lipid peroxidation, promote protein oxidation, and radical oxygen species induced-DNA damage, which may explain the increased risk of cholangiocarcinoma in thyrotoxicosis patients.

Duodenal ulcer disease, which may be a surrogate for Helicobacter pylori (H. pylori) infection and chronic pancreatitis, was significantly more common among ECC and ICC cases than controls. H. pylori, a major cause of duodenal ulcer disease, is classified as a group 1 carcinogen by the International Agency for Research on Cancer.62 Several studies have also proposed an association between H. pylori and cholangiocarcinoma63-65 though the association remains controversial. Therefore, these findings should be interpreted cautiously, as ECC patients, in particular, frequently undergo endoscopy for diagnosis and palliative stent implantation, favoring the possibility of diagnostic bias.

In the current study, chronic pancreatitis was significantly associated with both ECC and ICC. Several mechanisms, including chronic inflammatory changes, could explain the association. In addition, chronic pancreatitis is often associated with obstructive cholestasis favoring malignant transformation through compression of the intrapancreatic portion of the common bile duct.66 However, confounding by alcoholism, a major risk factor for chronic pancreatitis, cannot be excluded.67 As previously reported,68 cigarette smoking was significantly associated with ICC. Consistent with previous reports, there was no association with smoking and ECC.69

The current study was large and multiethnic but had several potential limitations. As the study only included patients of age 68 and older, the findings may not be generalizable to younger patients. In the SEER registries, however, the median age at diagnosis of both tumors is between 70 and 74 years, thus the study population is representative of the high-risk groups for these tumors. Completeness and accuracy of the Medicare data are not well reported. To minimize the possibility of missing diagnoses, however, analyses were restricted to patients with at least 3 years of continuous enrollment in Medicare. Furthermore, patients who were enrolled in Medicare HMO plans were excluded, as the HMOs have differing claims submission requirements.70 The possibility of diagnostic bias cannot be excluded as persons with serious medical conditions are more likely to undergo testing and thus have more diagnoses than other persons. In the case of a biliary tumor such as ECC or ICC, individuals are likely to undergo endoscopy and to be tested for hepatitis virus infections.

Although the current study of almost 1100 cholangiocarcinoma patients was quite large, the small numbers of some pre-existing medical conditions merit caution in drawing strong conclusions. In addition, the exclusion of diagnoses that were made at least 1 year prior to cancer diagnosis likely affected the power to detect significant associations. Finally, as Medicare data are collected for billing, rather than research, purposes, the prevalences of smoking and obesity were almost certainly underrepresented. The current manuscript includes these variables, nevertheless, as a possible means of stimulating hypotheses in these areas.

Important strengths of this study are related to the source of the data, as well as the case and control definitions. SEER has a 98% case ascertainment rate and data quality that has been well-demonstrated. The use of Medicare Parts A and B data rather than personal interview to determine pre-existing medical conditions likely avoided recall bias, while the matching of cases and controls on the search for risk factors minimized the possibility of differing testing and diagnostic trends.

In summary, ICC and ECC share some common risk factors, which include choledochal cysts, cholangitis, ulcerative colitis, biliary tract stone disease, cirrhosis, alcoholic liver disease as surrogate for alcohol consumption, type II diabetes, thyrotoxicosis, and pancreatitis, and possibly duodenal ulcer disease. As chronic non-alcoholic liver disease, obesity and HCV infection were associated with ICC and are increasing in incidence, they may explain the divergent trends in ICC and ECC rates.

Acknowledgments

The authors wish to thank Marie Topor and Bob Banks of Information Management Services, Inc. for programming support and Danny Carreon for his invaluable editing assistance.

This research was supported, in part, by the Intramural Research Program of the NIH, National Cancer Institute.

Footnotes

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References

  • 1.Khan SA, Thomas HC, Davidson BR, Taylor-Robinson SD. Cholangiocarcinoma. Lancet. 2005;366:1303–1314. doi: 10.1016/S0140-6736(05)67530-7. [DOI] [PubMed] [Google Scholar]
  • 2.Lazaridis KN, Gores GJ. Cholangiocarcinoma. Gastroenterology. 2005;128:1655–1667. doi: 10.1053/j.gastro.2005.03.040. [DOI] [PubMed] [Google Scholar]
  • 3.Bergquist A, Glaumann H, Lindberg B, Broome U. Primary sclerosing cholangitis can present with acute liver failure: Report of two cases. J Hepatol. 2006;44:1005–1008. doi: 10.1016/j.jhep.2006.01.033. [DOI] [PubMed] [Google Scholar]
  • 4.Broome U, Glaumann H, Lindstom E, Loof L, Almer S, Prytz H, Sandberg-Gertzen H, Lindgren S, Fork FT, Jarnerot G, Olsson R. Natural history and outcome in 32 Swedish patients with small duct primary sclerosing cholangitis (PSC) J Hepatol. 2002;36:586–589. doi: 10.1016/s0168-8278(02)00036-3. [DOI] [PubMed] [Google Scholar]
  • 5.Chalasani N, Baluyut A, Ismail A, Zaman A, Sood G, Ghalib R, McCashland TM, Reddy KR, Zervos X, Anbari MA, Hoen H. Cholangiocarcinoma in patients with primary sclerosing cholangitis: a multicenter case-control study. Hepatology. 2000;31:7–11. doi: 10.1002/hep.510310103. [DOI] [PubMed] [Google Scholar]
  • 6.Gupta AK, Gupta A, Bhardwaj VK, Chansoria M. Caroli's disease. Indian J Pediatr. 2006;73:233–235. doi: 10.1007/BF02825490. [DOI] [PubMed] [Google Scholar]
  • 7.Alison MR, Lovell MJ. Liver cancer: the role of stem cells. Cell Prolif. 2005;38:407–421. doi: 10.1111/j.1365-2184.2005.00354.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Roskams T. Liver stem cells and their implication in hepatocellular and cholangiocarcinoma. Oncogene. 2006;25:3818–3822. doi: 10.1038/sj.onc.1209558. [DOI] [PubMed] [Google Scholar]
  • 9.McGlynn KA, Tarone RE, El-Serag HB. A comparison of trends in the incidence of hepatocellular carcinoma and intrahepatic cholangiocarcinoma in the United States. Cancer Epidemiol Biomarkers Prev. 2006;15:1198–1203. doi: 10.1158/1055-9965.EPI-05-0811. [DOI] [PubMed] [Google Scholar]
  • 10.Welzel TM, McGlynn KA, Hsing AW, O'Brien TR, Pfeiffer RM. Impact of classification of hilar cholangiocarcinomas (Klatskin tumors) on the incidence of intra- and extrahepatic cholangiocarcinoma in the United States. J Natl Cancer Inst. 2006;98:873–875. doi: 10.1093/jnci/djj234. [DOI] [PubMed] [Google Scholar]
  • 11.Shaib YH, El-Serag HB, Davila JA, Morgan R, McGlynn KA. Risk factors of intrahepatic cholangiocarcinoma in the United States: a case-control study. Gastroenterology. 2005;128:620–626. doi: 10.1053/j.gastro.2004.12.048. [DOI] [PubMed] [Google Scholar]
  • 12.McGlynn KA, London WT. Epidemiology and natural history of hepatocellular carcinoma. Best Pract Res Clin Gastroenterol. 2005;19:3–23. doi: 10.1016/j.bpg.2004.10.004. [DOI] [PubMed] [Google Scholar]
  • 13.Shaib YH, El-Serag HB, Davila JA, Morgan R, McGlynn KA. Risk factors of intrahepatic cholangiocarcinoma in the United States: a case-control study. Gastroenterology. 2005;128:620–626. doi: 10.1053/j.gastro.2004.12.048. [DOI] [PubMed] [Google Scholar]
  • 14.Surveillance, Epidemiology, and End Results (SEER) program public-use CD-ROM (1973-2000) Bethesda, MD: National Cancer Institute; Apr, 2001. software. [Google Scholar]
  • 15.Percy C, Van Holten V, Muir C. International classification of diseases for oncology (ICD-O) 2nd. Geneva: World Health Organization; 1990. [Google Scholar]
  • 16.Warren JL, Klabunde CN, Schrag D, Bach PB, Riley GF. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002;40:IV–3. doi: 10.1097/01.MLR.0000020942.47004.03. [DOI] [PubMed] [Google Scholar]
  • 17.Warren JL, Klabunde CN, Schrag D, Bach PB, Riley GF. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002;40:IV–3. doi: 10.1097/01.MLR.0000020942.47004.03. [DOI] [PubMed] [Google Scholar]
  • 18.Hamilton SR, Aaltonen HL, editors. Pathology and genetics of tumors of the digestive system. IARC Press; Lyon: 2000. World Health Organization Classification of Tumors. [Google Scholar]
  • 19.Warren JL, Klabunde CN, Schrag D, Bach PB, Riley GF. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002;40:IV–3. doi: 10.1097/01.MLR.0000020942.47004.03. [DOI] [PubMed] [Google Scholar]
  • 20. http://icd9cm.chrisendres.com/
  • 21.Angulo P. Nonalcoholic fatty liver disease. N Engl J Med. 2002;346:1221–1231. doi: 10.1056/NEJMra011775. [DOI] [PubMed] [Google Scholar]
  • 22.Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999-2004. JAMA. 2006;295:1549–1555. doi: 10.1001/jama.295.13.1549. [DOI] [PubMed] [Google Scholar]
  • 23.Tanaka Y, Hanada K, Mizokami M, Yeo AE, Shih JW, Gojobori T, Alter HJ. Inaugural Article: A comparison of the molecular clock of hepatitis C virus in the United States and Japan predicts that hepatocellular carcinoma incidence in the United States will increase over the next two decades. Proc Natl Acad Sci U S A. 2002;99:15584–15589. doi: 10.1073/pnas.242608099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.McGlynn KA, Tarone RE, El-Serag HB. A comparison of trends in the incidence of hepatocellular carcinoma and intrahepatic cholangiocarcinoma in the United States. Cancer Epidemiol Biomarkers Prev. 2006;15:1198–1203. doi: 10.1158/1055-9965.EPI-05-0811. [DOI] [PubMed] [Google Scholar]
  • 25.He XS, Ansari AA, Ridgway WM, Coppel RL, Gershwin ME. New insights to the immunopathology and autoimmune responses in primary biliary cirrhosis. Cell Immunol. 2006;239:1–13. doi: 10.1016/j.cellimm.2006.04.006. [DOI] [PubMed] [Google Scholar]
  • 26.Levy C, Lindor KD. Primary sclerosing cholangitis: epidemiology, natural history, and prognosis. Semin Liver Dis. 2006;26:22–30. doi: 10.1055/s-2006-933560. [DOI] [PubMed] [Google Scholar]
  • 27.O'Mahony CA, Vierling JM. Etiopathogenesis of primary sclerosing cholangitis. Semin Liver Dis. 2006;26:3–21. doi: 10.1055/s-2006-933559. [DOI] [PubMed] [Google Scholar]
  • 28.Lazaridis KN, Gores GJ. Primary sclerosing cholangitis and cholangiocarcinoma. Semin Liver Dis. 2006;26:42–51. doi: 10.1055/s-2006-933562. [DOI] [PubMed] [Google Scholar]
  • 29.Bergquist A, Glaumann H, Lindberg B, Broome U. Primary sclerosing cholangitis can present with acute liver failure: Report of two cases. J Hepatol. 2006;44:1005–1008. doi: 10.1016/j.jhep.2006.01.033. [DOI] [PubMed] [Google Scholar]
  • 30.Chalasani N, Baluyut A, Ismail A, Zaman A, Sood G, Ghalib R, McCashland TM, Reddy KR, Zervos X, Anbari MA, Hoen H. Cholangiocarcinoma in patients with primary sclerosing cholangitis: a multicenter case-control study. Hepatology. 2000;31:7–11. doi: 10.1002/hep.510310103. [DOI] [PubMed] [Google Scholar]
  • 31.Pares A, Rodes J. Natural history of primary biliary cirrhosis. Clin Liver Dis. 2003;7:779–794. doi: 10.1016/s1089-3261(03)00100-4. [DOI] [PubMed] [Google Scholar]
  • 32.Lazaridis KN, Gores GJ. Cholangiocarcinoma. Gastroenterology. 2005;128:1655–1667. doi: 10.1053/j.gastro.2005.03.040. [DOI] [PubMed] [Google Scholar]
  • 33.Kubo S, Kinoshita H, Hirohashi K, Hamba H. Hepatolithiasis associated with cholangiocarcinoma. World J Surg. 1995;19:637–641. doi: 10.1007/BF00294744. [DOI] [PubMed] [Google Scholar]
  • 34.Welzel TM, Mellemkjaer L, Gridley G, Sakoda LC, Hsing AW, El Ghormli L, Olsen JH, McGlynn KA. Risk factors for intrahepatic cholangiocarcinoma in a low-risk population: a nationwide case-control study. Int J Cancer. 2006 doi: 10.1002/ijc.22283. in press. [DOI] [PubMed] [Google Scholar]
  • 35.Ekbom A, Hsieh CC, Yuen J, Trichopoulos D, McLaughlin JK, Lan SJ, Adami HO. Risk of extrahepatic bileduct cancer after cholecystectomy. Lancet. 1993 Nov;342:1262–1265. doi: 10.1016/0140-6736(93)92359-2. [DOI] [PubMed] [Google Scholar]
  • 36.Welzel TM, McGlynn KA, Hsing AW, O'Brien TR, Pfeiffer RM. Impact of classification of hilar cholangiocarcinomas (Klatskin tumors) on the incidence of intra- and extrahepatic cholangiocarcinoma in the United States. J Natl Cancer Inst. 2006;98:873–875. doi: 10.1093/jnci/djj234. [DOI] [PubMed] [Google Scholar]
  • 37.Welzel TM, Mellemkjaer L, Gridley G, Sakoda LC, Hsing AW, El Ghormli L, Olsen JH, McGlynn KA. Risk factors for intrahepatic cholangiocarcinoma in a low-risk population: a nationwide case-control study. Int J Cancer. 2006 doi: 10.1002/ijc.22283. in press. [DOI] [PubMed] [Google Scholar]
  • 38.Llovet JM, Burroughs A, Bruix J. Hepatocellular carcinoma. Lancet. 2003;362:1907–1917. doi: 10.1016/S0140-6736(03)14964-1. [DOI] [PubMed] [Google Scholar]
  • 39.Tsukuma H, Hiyama T, Tanaka S, Nakao M, Yabuuchi T, Kitamura T, Nakanishi K, Fujimoto I, Inoue A, Yamazaki H. Risk factors for hepatocellular carcinoma among patients with chronic liver disease. N Engl J Med. 1993;328:1797–1801. doi: 10.1056/NEJM199306243282501. [DOI] [PubMed] [Google Scholar]
  • 40.Roskams T. Liver stem cells and their implication in hepatocellular and cholangiocarcinoma. Oncogene. 2006;25:3818–3822. doi: 10.1038/sj.onc.1209558. [DOI] [PubMed] [Google Scholar]
  • 41.Chalasani N, Baluyut A, Ismail A, Zaman A, Sood G, Ghalib R, McCashland TM, Reddy KR, Zervos X, Anbari MA, Hoen H. Cholangiocarcinoma in patients with primary sclerosing cholangitis: a multicenter case-control study. Hepatology. 2000;31:7–11. doi: 10.1002/hep.510310103. [DOI] [PubMed] [Google Scholar]
  • 42.Angulo P. Nonalcoholic fatty liver disease. N Engl J Med. 2002;346:1221–1231. doi: 10.1056/NEJMra011775. [DOI] [PubMed] [Google Scholar]
  • 43.Diehl AM. Nonalcoholic fatty liver disease: implications for alcoholic liver disease pathogenesis. Alcohol Clin Exp Res. 2001;25:8S–14S. doi: 10.1097/00000374-200105051-00004. [DOI] [PubMed] [Google Scholar]
  • 44.Leandro G, Mangia A, Hui J, Fabris P, Rubbia-Brandt L, Colloredo G, Adinolfi LE, Asselah T, Jonsson JR, Smedile A, Terrault N, Pazienza V, Giordani MT, Giostra E, Sonzogni A, Ruggiero G, Marcellin P, Powell EE, George J, Negro F. Relationship between steatosis, inflammation, and fibrosis in chronic hepatitis C: a meta-analysis of individual patient data. Gastroenterology. 2006;130:1636–1642. doi: 10.1053/j.gastro.2006.03.014. [DOI] [PubMed] [Google Scholar]
  • 45.Lonardo A, Adinolfi LE, Loria P, Carulli N, Ruggiero G, Day CP. Steatosis and hepatitis C virus: mechanisms and significance for hepatic and extrahepatic disease. Gastroenterology. 2004;126:586–597. doi: 10.1053/j.gastro.2003.11.020. [DOI] [PubMed] [Google Scholar]
  • 46.Powell EE, Ali A, Clouston AD, Dixon JL, Lincoln DJ, Purdie DM, Fletcher LM, Powell LW, Jonsson JR. Steatosis is a cofactor in liver injury in hemochromatosis. Gastroenterology. 2005;129:1937–1943. doi: 10.1053/j.gastro.2005.09.015. [DOI] [PubMed] [Google Scholar]
  • 47.Raynard B, Balian A, Fallik D, Capron F, Bedossa P, Chaput JC, Naveau S. Risk factors of fibrosis in alcohol-induced liver disease. Hepatology. 2002;35:635–638. doi: 10.1053/jhep.2002.31782. [DOI] [PubMed] [Google Scholar]
  • 48.Amarapurka DN, Amarapurkar AD, Patel ND, Agal S, Baigal R, Gupte P, Pramanik S. Nonalcoholic steatohepatitis (NASH) with diabetes: predictors of liver fibrosis. Ann Hepatol. 2006;5:30–33. [PubMed] [Google Scholar]
  • 49.Feldstein AE, Canbay A, Angulo P, Taniai M, Burgart LJ, Lindor KD, Gores GJ. Hepatocyte apoptosis and fas expression are prominent features of human nonalcoholic steatohepatitis. Gastroenterology. 2003;125:437–443. doi: 10.1016/s0016-5085(03)00907-7. [DOI] [PubMed] [Google Scholar]
  • 50.Browning JD, Szczepaniak LS, Dobbins R, Nuremberg P, Horton JD, Cohen JC, Grundy SM, Hobbs HH. Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology. 2004;40:1387–1395. doi: 10.1002/hep.20466. [DOI] [PubMed] [Google Scholar]
  • 51.Farrell GC, Larter CZ. Nonalcoholic fatty liver disease: from steatosis to cirrhosis. Hepatology. 2006;43:S99–S112. doi: 10.1002/hep.20973. [DOI] [PubMed] [Google Scholar]
  • 52.Hickman IJ, Powell EE, Prins JB, Clouston AD, Ash S, Purdie DM, Jonsson JR. In overweight patients with chronic hepatitis C, circulating insulin is associated with hepatic fibrosis: implications for therapy. J Hepatol. 2003;39:1042–1048. doi: 10.1016/s0168-8278(03)00463-x. [DOI] [PubMed] [Google Scholar]
  • 53.Paradis V, Perlemuter G, Bonvoust F, Dargere D, Parfait B, Vidaud M, Conti M, Huet S, Ba N, Buffet C, Bedossa P. High glucose and hyperinsulinemia stimulate connective tissue growth factor expression: a potential mechanism involved in progression to fibrosis in nonalcoholic steatohepatitis. Hepatology. 2001;34:738–744. doi: 10.1053/jhep.2001.28055. [DOI] [PubMed] [Google Scholar]
  • 54.Ratziu V, Munteanu M, Charlotte F, Bonyhay L, Poynard T. Fibrogenic impact of high serum glucose in chronic hepatitis C. J Hepatol. 2003;39:1049–1055. doi: 10.1016/s0168-8278(03)00456-2. [DOI] [PubMed] [Google Scholar]
  • 55.Chen RF, Li ZH, Zou SQ, Chen JS. Effect of hepatitis C virus core protein on modulation of cellular proliferation and apoptosis in hilar cholangiocarcinoma. Hepatobiliary Pancreat Dis Int. 2005;4:71–74. [PubMed] [Google Scholar]
  • 56.Donato F, Gelatti U, Tagger A, Favret M, Ribero ML, Callea F, Martelli C, Savio A, Trevisi P, Nardi G. Intrahepatic cholangiocarcinoma and hepatitis C and B virus infection, alcohol intake, and hepatolithiasis: a case-control study in Italy. Cancer Causes Control. 2001;12:959–964. doi: 10.1023/a:1013747228572. [DOI] [PubMed] [Google Scholar]
  • 57.Kobayashi M, Ikeda K, Saitoh S, Suzuki F, Tsubota A, Suzuki Y, Arase Y, Murashima N, Chayama K, Kumada H. Incidence of primary cholangiocellular carcinoma of the liver in japanese patients with hepatitis C virus-related cirrhosis. Cancer. 2000;88:2471–2477. doi: 10.1002/1097-0142(20000601)88:11<2471::aid-cncr7>3.0.co;2-t. [DOI] [PubMed] [Google Scholar]
  • 58.Yin F, Chen B. Detection of hepatitis C virus RNA sequences in hepatic portal cholangiocarcinoma tissue by reverse transcription polymerase chain reaction. Chin Med J (Engl) 1998;111:1068–1070. [PubMed] [Google Scholar]
  • 59.Ahrendt SA, Nakeeb A, Pitt HA. Cholangiocarcinoma. Clin Liver Dis. 2001;5:191–218. doi: 10.1016/s1089-3261(05)70161-6. [DOI] [PubMed] [Google Scholar]
  • 60.Kuper H, Lagiou P, Mucci LA, Tamimi R, Benetou V, Trichopoulos D. Risk factors for cholangiocarcinoma in a low risk Caucasian population. Soz Praventivmed. 2001;46:182–185. doi: 10.1007/BF01324254. [DOI] [PubMed] [Google Scholar]
  • 61.Venditti P, Pamplona R, Ayala V, De RR, Caldarone G, Di MS. Differential effects of experimental and cold-induced hyperthyroidism on factors inducing rat liver oxidative damage. J Exp Biol. 2006;209:817–825. doi: 10.1242/jeb.02045. [DOI] [PubMed] [Google Scholar]
  • 62. http://monographs.iarc.fr/ENG/Monographs/vol61/volume61.pdf.
  • 63.Bulajic M, Maisonneuve P, Schneider-Brachert W, Muller P, Reischl U, Stimec B, Lehn N, Lowenfels AB, Lohr M. Helicobacter pylori and the risk of benign and malignant biliary tract disease. Cancer. 2002;95:1946–1953. doi: 10.1002/cncr.10893. [DOI] [PubMed] [Google Scholar]
  • 64.Myung SJ, Kim MH, Shim KN, Kim YS, Kim EO, Kim HJ, Park ET, Yoo KS, Lim BC, Seo DW, Lee SK, Min YI, Kim JY. Detection of Helicobacter pylori DNA in human biliary tree and its association with hepatolithiasis. Dig Dis Sci. 2000;45:1405–1412. doi: 10.1023/a:1005572507572. [DOI] [PubMed] [Google Scholar]
  • 65.Tiwari SK, Khan AA, Ibrahim M, Habeeb MA, Habibullah CM. Helicobacter pylori and other Helicobacter species DNA in human bile samples from patients with various hepatobiliary diseases. World J Gastroenterol. 2006;12:2181–2186. doi: 10.3748/wjg.v12.i14.2181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Matlock J, Freeman ML. Endoscopic therapy of benign biliary strictures. Rev Gastroenterol Disord. 2005;5:206–214. [PubMed] [Google Scholar]
  • 67.Pfutzer RH, Schneider A. Treatment of alcoholic pancreatitis. Dig Dis. 2005;23:241–246. doi: 10.1159/000090171. [DOI] [PubMed] [Google Scholar]
  • 68.Shaib YH, El-Serag HB, Davila JA, Morgan R, McGlynn KA. Risk factors of intrahepatic cholangiocarcinoma in the United States: a case-control study. Gastroenterology. 2005;128:620–626. doi: 10.1053/j.gastro.2004.12.048. [DOI] [PubMed] [Google Scholar]
  • 69.Chalasani N, Baluyut A, Ismail A, Zaman A, Sood G, Ghalib R, McCashland TM, Reddy KR, Zervos X, Anbari MA, Hoen H. Cholangiocarcinoma in patients with primary sclerosing cholangitis: a multicenter case-control study. Hepatology. 2000;31:7–11. doi: 10.1002/hep.510310103. [DOI] [PubMed] [Google Scholar]
  • 70.Warren JL, Klabunde CN, Schrag D, Bach PB, Riley GF. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002;40:IV–3. doi: 10.1097/01.MLR.0000020942.47004.03. [DOI] [PubMed] [Google Scholar]

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