Literature DB >> 28461760

Results of adjuvant radiation therapy for locoregional perihilar cholangiocarcinoma after curative intent resection.

Kai-Ming Leng1, Yue-Ping Liu1, Zhi-Dong Wang1, Xiang-Yu Zhong1, Guan-Qun Liao2, Peng-Cheng Kang1, Yun-Fu Cui1, Xing-Ming Jiang1.   

Abstract

PURPOSE: This study sought to define the role of adjuvant radiation therapy (RT) for patients with curative intent resection of perihilar cholangiocarcinoma (pCCA). PATIENTS AND METHODS: By using the Surveillance, Epidemiology and End Results (SEER) registry, 1,917 patients with non-metastatic pCCA who underwent surgical resection from 1988 to 2009 were included in this study. Propensity score methods were used to compare the survival outcomes of patients treated with and without adjuvant RT after controlling for selection bias.
RESULTS: Of the 1,917 patients, 762 (39.7%) received adjuvant RT. In the unmatched population, median overall survival (OS) for patients receiving adjuvant RT compared with those undergoing surgery alone was 23 versus 22 months (P=0.651). Patients who received adjuvant RT were younger (65 vs 68 years, P<0.001), had more regional diseases (86.0% vs 76.7%, P<0.001), and had more positive lymph nodes (43.8% vs 32.2%, P<0.001). In the matched population, adjuvant RT did not show better OS (22 vs 23 months, P=0.978) or cancer-specific survival (CSS) (17 vs 18 months, P=0.554).
CONCLUSION: Adjuvant RT is not associated with improved survival of patients with resected pCCA. These data suggest that adjuvant RT should not be routinely used to treat patients with pCCA outside research trials. Ideally, prospective randomized trials should be performed to verify the conclusion of this study.

Entities:  

Keywords:  SEER; perihilar cholangiocarcinoma; propensity score; radiation therapy; surgery; survival

Year:  2017        PMID: 28461760      PMCID: PMC5408944          DOI: 10.2147/OTT.S131873

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Cholangiocarcinoma (CCA) is an uncommon tumor that constitutes <2% of all human malignancies.1 Perihilar cholangiocarcinoma (pCCA) is a subtype of CCA that locates at the area between the insertion of the cystic duct into the common bile duct and the second-degree bile ducts. It accounts for approximately two-thirds of all CCAs.2,3 pCCA possesses a peculiar growth behavior that spreads longitudinally and frequently invades major vascular structures. It is a relatively slow-growing cancer and is usually small at clinical presentation. Therefore, it is usually too advanced for radical surgery after being diagnosed. This makes pCCA a devastating cancer with a median survival of <1 year if untreated. Complete resection is recognized as an effective therapy for pCCA. It is found that 5-year survival and median survival among patients with a complete resection range from 27% to 45% and from 27 to 58 months, respectively.4–7 Prognosis of pCCA is still poor despite great improvement. Moreover, locoregional recurrence is found in ~60% of patients undergoing curative resection for pCCA, whereas distant metastases are seen in almost 40% of cases.8 As such, radiotherapy has been proposed and, to a varying degree, is used currently as adjuvant therapy for resected pCCA. However, it remains controversial.9–16 Several research studies have shown an improved survival benefit with adjuvant radiation therapy (RT) among patients undergoing curative intent operations.9,13–15,17 By contrast, some other studies did not detect a survival benefit from adjuvant RT.10,12 It is possible that the debate is largely attributed to the overrepresentation of pCCA patients with adverse tumor characteristics in the cohorts that received adjuvant RT. It is reported that patients with positive resection margin, lymph node (LN) metastasis, and high histological grade were more likely to receive adjuvant RT.12,13,15 The selection bias in the receipt of adjuvant RT might result in inaccurate interpretation of the efficacy of adjuvant RT. This study used the Surveillance, Epidemiology and End Results (SEER) database to evaluate the effect of adjuvant RT on the survival outcome of radically resected pCCAs. In order to minimize the selection bias in patients received adjuvant RT, propensity score matching was applied. The present study could provide the basis for the optimal therapeutic approach to pCCA.

Patients and methods

The SEER database represent 28% of the US population, and the 18 registries participating in the SEER program capture ~97% of incident cancers.18,19 The SEER database data are publicly available. Use of the SEER database data does not require informed consent, and this study was approved by the ethics committee of the Second Affiliated Hospital of Harbin Medical University and Foshan Hospital Affiliated to Southern Medical University. Several predefined variables were used to screen eligible patients: “CS SCHEMA v0204+” of “008-Bile Ducts Perihilar,” “Age at diagnosis” of ≥20, and “Year of diagnosis” ranging from 1988 to 2009. The International Classification of Diseases for Oncology, 3rd Edition (ICD-0-3) codes were used to identify cases of pCCA. pCCA was defined as tumors with histological codes of 8010, 8020, 8040, 8070, 8041, 8140, 8144, 8160, 8161, 8162, 8163, 8260, 8310, 8480, 8490, and 8560 with a topographic code of C24.0 and C22.1. Patients without microscopic diagnostic confirmation, unknown diagnostic confirmation, or diagnosed on autopsy were excluded. Patients were also excluded if they survived <2 months, had unknown radiotherapy information, presented with distant metastasis, or with a surgery code not consistent with surgical resection. Figure 1 depicts a flowchart regarding patient selection for the study cohort. Briefly, the cohort included all patients aged ≥20 years who had a histological diagnosis of pCCA who underwent curative intent surgical resection with known disease stage and radiation status between 1988 and 2009.
Figure 1

Patient selection flowchart.

Abbreviations: ICD-O-3, International Classification of Diseases for Oncology, 3rd Edition; SEER, Surveillance, Epidemiology and End Results.

Data collected for each patient included patient demographics (age at diagnosis, race/ethnicity, gender, year of diagnosis, and marital status), tumor characteristics (tumor size, grade, and tumor stage), and treatment modality (sequence of radiation and status of adjuvant RT). Tumor stage was reported for only years 2004 and later. For patients from 1988 to 2003, tumor stage was derived from the extent of the primary tumor. To facilitate the current analysis, tumor stage was classified into two categories: localized disease (stages T1–T2) and regional disease (stages T3–T4 and/or node positive). According to the SEER classification of surgery, radical resection was defined as partial or total removal of primary site plus partial or total removal of other organs. Limited resection was defined as either partial or total operative removal of only the primary site.

Propensity score matching

Because of the nonrandom distribution in the receipt of adjuvant RT, the survival outcomes could be influenced by the selection bias. A propensity score is defined as the probability of being assigned to adjuvant RT group or surgery-alone group based on the clinicopathologic characteristics.20 Propensity score matching using the greedy matching algorithm was used to compare the survival outcomes of patients treated with and without adjuvant RT after controlling for selection bias. In the calculation of the propensity scores, a nonparsimonious logistic regression model with the treatment of interest (adjuvant RT) as the outcome measure was used considering predefined baseline covariates, including year of diagnosis, gender, age at diagnosis, race, tumor extent, LN status, tumor size, and extent of surgery.21 In the matched population, univariate and multivariate analyses for prognostic factors were conducted.

Statistical analysis

Overall survival (OS) and cancer-specific survival (CSS) were the primary and secondary outcomes of interest, respectively. OS was calculated from the date of diagnosis to the date of death of any cause. CSS was defined as the time of diagnosis until pCCA-related death. The chi-square test was used to compare the clinical and demographic factors between patients grouped by categorical variables. Survival outcomes before and after propensity score matching were conducted using the Kaplan–Meier method and compared using the log-rank test. The Cox proportional hazard model was used for multivariate analyses. Clinicopathologic variables with P-values <0.1 in the univariate analyses were adjusted. P<0.05 was considered to be statistically significant in all analyses. Statistical analyses were performed by using SPSS 22.0 (IBM, Armonk, NY, USA) and R version 2.13.0 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Patient characteristics

Between 1988 and 2009, 1,917 patients underwent resection for pCCA and met inclusion criteria; 762 (39.7%) patients received adjuvant RT. The median age of the entire cohort was 67 years (interquartile range 58–74 years). Most patients were male (n=1,157; 60.4%) and white (n=1,513; 78.9%). The clinicopathologic characteristics between the two groups are presented in Table 1. Patients receiving adjuvant RT versus surgery alone were younger (65 vs 68 years, P<0.001), had more advanced tumor stage (86.0% vs 76.7%, P<0.001), and had more positive LN (43.8% vs 32.2%, P<0.001).
Table 1

Demographics of patients with pCCA between treatment cohorts before and after propensity score matching

VariablesBefore propensity score matching
After propensity score matching
Adjuvant RT (n=762)Surgery alone (n=1,155)P-valueAdjuvant RT (n=651)Surgery alone (n=651)P-value
Age (years)<0.0010.585
 ≤4992946455
 50–59170173148130
 60–69239369216236
 70–79212375184190
 80+491443940
Gender0.0441
 Men481676411411
 Women281479240240
Race0.1841
 White595918537537
 Black44812727
 Others1231568787
Year of diagnosis0.3610.287
 1988–1993911528674
 1994–1999139203106122
 2000–2004257351197215
 2005–2009275449262240
Tumor grade0.6391
 Well or moderate458718406406
 Poor or undifferentiated226321191191
 Unknown781165454
LN status<0.0011
 Negative389724347347
 Positive334372286286
 Unknown39591818
Tumor size (mm)0.1760.339
 ≤20263447255230
 >20255359204212
 Unknown244349192209
Tumor stage<0.0011
 Localized (T1–T2)1002558383
 Regional (T3–T4 and/or node positive)655886567567
 Unknown71411
Extent of surgery0.8041
 Radical402616355355
 Limited360539296296

Abbreviations: LN, lymph node; pCCA, perihilar cholangiocarcinoma; RT, radiation therapy.

Survival outcomes before propensity score matching

In the unmatched population (n=1,917), 1,642 patients died at the end of follow-up. The unadjusted median survival was 23 months, and 5-year rate of OS was 24.5%. There were 1,162 pCCA-related death events, and the median and 5-year rates of CSS were 17 months and 7.7%, respectively. Kaplan–Meier curves of OS and CSS before propensity score matching are presented in Figure 2. In both OS and CSS, there were no significant differences between the adjuvant RT (n=762) and surgery alone (n=1,155) groups. Median OS for patients receiving adjuvant RT compared with those undergoing surgery alone was 23 versus 22 months (P=0.651). The median CSS rates of the adjuvant RT and surgery-alone groups were both 17 months (P=0.853).
Figure 2

Kaplan–Meier analysis of (A) overall and (B) cancer-specific survival of the adjuvant RT (n=762) and surgery alone (n=1,155) groups before propensity score matching.

Abbreviation: RT, radiation therapy.

Prognostic effect of adjuvant RT after propensity score matching

The propensity score matching was able to create a balanced population including adjuvant RT group (n=651) and surgery-alone group (n=651). Table 1 lists the details of the balance before and after propensity score matching, noting that the potential selection bias in the receipt of adjuvant RT was minimized. Kaplan–Meier curves of OS and CSS after propensity score matching are presented in Figure 3. The median and 5-year rates of OS for the adjuvant RT and surgery-alone groups were 22 months and 24.2% and 23 months and 24.6%, respectively. The median and 5-year rates of CSS for the adjuvant RT and surgery-alone groups were 17 months and 8.4% and 18 months and 9.4%, respectively.
Figure 3

Kaplan–Meier analysis of (A) overall and (B) cancer-specific survival of the adjuvant RT (n=651) and surgery alone (n=651) groups after propensity score matching.

Abbreviation: RT, radiation therapy.

Table 2 shows the results of the univariate analyses for OS and CSS. Age (P<0.001), tumor stage (P<0.001), LN status (P<0.001), tumor grade (P=0.005), and tumor size (P<0.001) were associated factors of OS. For CSS, year of diagnosis (P<0.001), tumor stage (P<0.001), tumor grade (P=0.008), and LN status (P<0.001) were prognostic. In propensity score-matched univariate models, adjuvant RT did not improve OS (P=0.978) or CSS (P=0.554) when compared to surgery alone. In the multivariate Cox proportional hazard model, advanced tumor stage (vs localized [T1–T2]; hazard ratio [HR] 1.336, 95% confidence interval [CI] 1.085–1.621 for OS; HR 1.281, 95% CI 1.007–1.630 for CSS), positive LN (vs negative LN; HR 1.552, 95% CI 1.365–1.763 for OS; HR 1.422, 95% CI 1.223–1.654 for CSS), and poor or undifferentiated grade (vs well or moderate; HR 1.164, 95% CI 1.021–1.328 for OS; HR 1.254, 95% CI 1.072–1.466 for CSS) were significantly associated with poorer OS and CSS. Adjuvant RT in propensity score adjusted multivariate models also failed to improve survival (vs surgery alone; HR 1.005, 95% CI 0.893–1.131 for OS; HR 0.971, 95% CI 0.845–1.115 for CSS) (Table 3). In order to access the role of adjuvant RT among patients with unfavorable tumor characteristics, the matched population was further stratified by poor prognostic tumor characteristics (Table S1). Among patients with regional tumor stage (21 vs 20 months, P=0.901), presence of poor or undifferentiated grade (18 vs 18 months, P=0.995), and positive LN (21 vs 20 months, P=0.689), adjuvant RT was not associated with a better survival (Table S1).
Table 2

Univariate analysis of the matched population for overall and cause-specific survival

VariablesOverall survival
Cause-specific survival
Median (months)P-valueMedian (months)P-value
Age (years)<0.0010.178
 ≤492416
 50–592519
 60–692218
 70–792117
 80+2118
Gender0.258
 Men230.08618
 Women1916
Race0.0920.888
 White2217
 Black1816
 Others2719
Year of diagnosis0.4210.001
 1988–19932319
 1994–19992319
 2000–20042218
 2005–20092217
Tumor grade0.0050.008
 Well or moderate2419
 Poor or undifferentiated1815
 Unknown2518
LN status<0.001<0.001
 Negative3121
 Positive1715
 Unknown1610
Tumor size (mm)<0.0010.057
 ≤202619
 >202017
 Unknown2117
Tumor stage<0.001<0.001
 Localized (T1–T2)3727
 Regional (T3–T4 and/or node positive)2017
 Unknown3
Extent of surgery0.8510.584
 Radical2218
 Limited2318
Treatment0.9780.554
 Adjuvant RT2217
 Surgery alone2318

Abbreviations: LN, lymph node; RT, radiation therapy.

Table 3

Multivariate analysis of the matched population for overall and cause-specific survival

VariablesOverall survival
Cause-specific survival
Hazard ratio95% CIP-valueHazard ratio95% CIP-value
Age (years)
 ≤490.5860.428–0.8030.001
 50–590.6550.500–0.8590.002
 60–690.7960.617–1.0280.080
 70–790.9130.706–1.1820.491
 80+Reference
Gender
 Men0.9570.846–1.0830.490
 WomenReference
Race
 White1.0510.880–1.2550.580
 Black1.4611.054–2.0350.023
 OthersReference
Year of diagnosis
 1988–19930.7290.570–0.9310.011
 1994–19990.7400.605–0.9050.003
 2000–20040.8750.739–1.0360.121
 2005–2009Reference
Tumor grade
 Well or moderateReferenceReference
 Poor or undifferentiated1.1641.021–1.3280.0241.2541.072–1.4660.005
 Unknown0.9400.752–1.1760.5881.0720.832–1.3800.591
LN status
 NegativeReferenceReference
 Positive1.5521.365–1.763<0.0011.4221.223–1.654<0.001
 Unknown1.7531.215–2.5270.0033.0131.889–4.807<0.001
Tumor size (mm)
 ≤20ReferenceReference
 >201.2291.063–1.4220.0051.0890.915–1.2960.337
 Unknown1.4391.245–1.662<0.0011.1200.945–1.3280.190
Tumor stage
 Localized (T1–T2)ReferenceReference
 Regional (T3–T4 and/or node positive)1.3261.085–1.6210.0061.2811.007–1.6300.044
 Unknown0.8680.205–3.6670.847
Treatment
 Adjuvant RT1.0050.893–1.1310.9380.9710.845–1.1150.674
 Surgery aloneReferenceReference

Abbreviations: CI, confidence interval; LN, lymph node; RT, radiation therapy.

Discussion

The present study found no significant survival benefit from adjuvant RT for patients with resected pCCA. Advanced tumor stage, frequent LN metastasis, and poor to undifferentiated histologic grade were tumor characteristics significantly associated with poorer OS and CSS. Patients with adverse tumor characteristics also did not have significantly superior survival with adjuvant RT as compared to those without high-risk features. These data suggest that adjuvant RT should not be routinely used to treat patients with pCCA outside research trials. pCCA is an uncommon tumor with a poor prognosis. It still remains difficult to achieve negative microscopic margins, which may offer the only hope of cure and long-term survival for pCCA. It is reported that the primary site of recurrence following complete resection is usually locoregional in patients with pCCA (59%).8 Thus, RT has frequently been recommended both as adjuvant therapy for resected patients and as primary treatment for unresectable patients. However, the role of locoregional therapy with adjuvant RT for pCCA remains controversial (Table S2). To date, several studies have demonstrated that adjuvant RT was independently associated with improved survival in patients with pCCA. Todoroki et al found an increase in 5-year survival from 13% to 34% among patients receiving adjuvant RT.13 One study in China reported a 10% increase in the 5-year survival among patients who received adjuvant RT, indicating that adjuvant external beam radiation was independently associated with better outcomes.14 Another study from the Netherlands found that those who did not receive adjuvant RT had a median survival of 8 versus 24 months for patients who did undergo adjuvant RT.15 In contrast, Sagawa et al reported their study including 69 patients undergoing surgical resection for pCCA; however, no survival benefit at 3 years was detected among patients with pCCA who received adjuvant RT.12 Pitt et al also found that adjuvant RT had no effect on OS.10 The interpretation of these reports is difficult because of a mixture of R0 and R1 resections and very small patient groups. In addition, it is found that patients with adverse tumor characteristics were more likely to receive adjuvant RT, which would result in cautious interpretation of the results. This study found that 39.7% of patients received adjuvant RT after curative intent resection. As expected, receipt of adjuvant RT was not random but instead was related to specific clinical and pathological factors. Patients who underwent adjuvant RT had more adverse characteristics compared with patients who underwent surgery alone. In particular, it was found that factors including younger patient age, LN metastasis, and advanced tumor stage were all associated with a higher likelihood of receiving adjuvant RT. As such, it was clearly demonstrated that patients who received adjuvant RT were not comparable to patients who received surgery alone with regard to underlying tumor biology. Therefore, it is not surprising that with non-propensity-matched analyses, patients receiving adjuvant RT had worse 5-year OS. The present study is important because it used propensity score matching to more fully control for baseline differences in the two groups. Using propensity score matching, two groups of patients with similar baseline characteristics were identified, which ultimately made the present analysis much more effective. In the univariate analysis, adjuvant RT failed to improve either OS or CSS in matched pCCA patients after surgical resection. Accordingly, the efficacy of adjuvant RT in local tumor control was questionable. Although multiple high-risk tumor characteristics were controlled, multivariate analysis in the matched population was also unable to establish a survival benefit from adjuvant RT. Taken together, the data suggested that adjuvant RT had no effect on survival of patients with resected pCCA. There are several potential interfering factors that affect the results of this study to some degree. The first issue to be addressed is whether the dose of radiation was adequate. It is technically challenging to make rational and efficacious radiotherapy protocols for pCCA. Until now, no consensus has been established. Gonzalez Gonzalez et al suggested a dose >70 Gy because of the concept that CCA is a radio-resistant tumor.22 However, if radiation treatment with much higher dose caused serious toxicity that aborted treatment before completion, the patients would not benefit from adjuvant RT. Information regarding radiotherapy dose, radiotherapy plans, or whether radiotherapy courses were completed after initiation of therapy were not obtained. A second issue that may have inhibited the influence of radiation was whether radiation was given alone without concomitant sensitizing chemotherapy or not. The question of adjuvant chemotherapy still remains vague in pCCA. There are only few data for adjuvant chemotherapy in patients with CCA following curative intent surgery.23 In general, there is no clear evidence for an OS benefit of adjuvant chemotherapy for not selected patients.24 Finally, resection margin may have influenced survival outcomes. However, several studies reported that the effect of margin status on survival among patients with resected pCCA who received adjuvant chemoradiation therapy is minimal.22,25 The SEER database lacks its ability to capture margin status and chemotherapy regimens, but it seems to have little impact on this study. In addition, this study is the first large population-based study to investigate the role of adjuvant RT in pCCA. The potential selection bias in patients receiving adjuvant RT could be minimized by using propensity score matching. Although randomized evidence regarding adjuvant RT in resected pCCAs was absent, the result from this propensity score-matched analysis can provide insight into optimal treatment after curative intent surgery. There are some other limitations to the current study. Although it is supposed that patients underwent surgical resection with curative intent, this important concept is still difficult to fully evaluate due to the lack of information regarding surgical details and margin status. The present study is also limited by the inability to obtain information regarding disease recurrence. Therefore, it is difficult to assess whether adjuvant RT is associated with better disease-free survival and/or lower rates of local recurrence. Even though the SEER database is large, pCCA is an uncommon cancer and only 39.7% of patients underwent adjuvant RT. Hence, the size of this study cohort limited the ability to detect significant associations between adjuvant RT and clinical outcomes. The last limitation of this study is that propensity score match did not include performance status, which is highly prognostic.

Conclusion

RT is not associated with improved survival of patients with resected pCCA. The present study is considered important because the SEER database shows that a large proportion of patients with resected pCCA are currently being treated with adjuvant RT despite the lack of definitive evidence from randomized trials. Ideally, prospective randomized trials should be performed to verify the conclusion of this study. Survival analysis in the propensity score-matched treatment cohorts for patients with high-risk tumor characteristics Abbreviations: LN, lymph node; RT, radiation therapy. Published survival outcomes with or without adjuvant RT for resected pCCA Abbreviations: N, number of patients; NS, not specified; OS, overall survival; pCCA, perihilar cholangiocarcinoma; RT, radiation therapy.
Table S1

Survival analysis in the propensity score-matched treatment cohorts for patients with high-risk tumor characteristics

VariablesOverall survival
Cancer-specific survival
Median (months)P-valueMedian (months)P-value
Regional tumor stages (T3–T4 and/or node positive)0.9010.494
 Surgery alone2117
 Adjuvant RT2017
Positive LN0.6890.851
 Surgery alone1715
 Adjuvant RT1716
Poor or undifferentiated grade0.9950.843
 Surgery alone1815
 Adjuvant RT1815

Abbreviations: LN, lymph node; RT, radiation therapy.

Table S2

Published survival outcomes with or without adjuvant RT for resected pCCA

SeriesYearNOS (%)
Median survival (months)
Survival benefit from adjuvant RT
Surgery aloneAdjuvant RTSurgery aloneAdjuvant RT
Cameron et al11990533 years OS: 215 years OS: 03 years OS: 215 years OS: 11NSNSYes
González González et al21990553 years OS: 103 years OS: 31819Yes
Pitt et al3199550NSNS1514No
Todoroki et al42000635 years OS: 13.45 years OS: 39.21036Yes
Gerhards et al52003845 years OS: 115 years OS: 198NSYes
Sagawa et al62005693 years OS: 33.33 years OS: 40.9NSNSNo
Cheng et al7200775NSNSNSNSYes

Abbreviations: N, number of patients; NS, not specified; OS, overall survival; pCCA, perihilar cholangiocarcinoma; RT, radiation therapy.

  23 in total

1.  Results of postoperative radiotherapy for resectable hilar cholangiocarcinoma.

Authors:  Michael F Gerhards; Thomas M van Gulik; Dioniso González González; Erik A J Rauws; Dirk J Gouma
Journal:  World J Surg       Date:  2003-02       Impact factor: 3.352

2.  Effectiveness of radiation therapy after surgery for hilar cholangiocarcinoma.

Authors:  Noriaki Sagawa; Satoshi Kondo; Toshiaki Morikawa; Shunichi Okushiba; Hiroyuki Katoh
Journal:  Surg Today       Date:  2005       Impact factor: 2.549

3.  Disease recurrence patterns after R0 resection of hilar cholangiocarcinoma.

Authors:  A Kobayashi; S Miwa; T Nakata; S Miyagawa
Journal:  Br J Surg       Date:  2010-01       Impact factor: 6.939

4.  Role of radiotherapy, in particular intraluminal brachytherapy, in the treatment of proximal bile duct carcinoma.

Authors:  D González González; D J Gouma; E A Rauws; T M van Gulik; A Bosma; C Koedooder
Journal:  Ann Oncol       Date:  1999       Impact factor: 32.976

5.  Multidisciplinary management of hilar cholangiocarcinoma (Klatskin tumor): extended resection is associated with improved survival.

Authors:  T M van Gulik; J J Kloek; A T Ruys; O R C Busch; G J van Tienhoven; J S Lameris; E A J Rauws; D J Gouma
Journal:  Eur J Surg Oncol       Date:  2010-11-27       Impact factor: 4.424

6.  Predictive factors for prognosis of hilar cholangiocarcinoma: postresection radiotherapy improves survival.

Authors:  Q Cheng; X Luo; B Zhang; X Jiang; B Yi; M Wu
Journal:  Eur J Surg Oncol       Date:  2006-11-07       Impact factor: 4.424

7.  Gemcitabine-based adjuvant chemotherapy improves survival after aggressive surgery for hilar cholangiocarcinoma.

Authors:  Yoshiaki Murakami; Kenichiro Uemura; Takeshi Sudo; Yasuo Hayashidani; Yasushi Hashimoto; Hiroaki Nakamura; Akira Nakashima; Taijiro Sueda
Journal:  J Gastrointest Surg       Date:  2009-05-07       Impact factor: 3.452

8.  Surgical treatment of hilar cholangiocarcinoma in the new era: the Asan experience.

Authors:  Sung Gyu Lee; Gi Won Song; Shin Hwang; Tae Yong Ha; Deok Bog Moon; Dong Hwan Jung; Ki Hun Kim; Chul Soo Ahn; Myung Hwan Kim; Sung Koo Lee; Kyu Bo Sung; Gi Young Ko
Journal:  J Hepatobiliary Pancreat Sci       Date:  2009-10-23       Impact factor: 7.027

9.  Patterns of initial disease recurrence after resection of gallbladder carcinoma and hilar cholangiocarcinoma: implications for adjuvant therapeutic strategies.

Authors:  William R Jarnagin; Leyo Ruo; Sarah A Little; David Klimstra; Michael D'Angelica; Ronald P DeMatteo; Raquel Wagman; Leslie H Blumgart; Yuman Fong
Journal:  Cancer       Date:  2003-10-15       Impact factor: 6.860

10.  Perihilar cholangiocarcinoma. Postoperative radiotherapy does not improve survival.

Authors:  H A Pitt; A Nakeeb; R A Abrams; J Coleman; S Piantadosi; C J Yeo; K D Lillemore; J L Cameron
Journal:  Ann Surg       Date:  1995-06       Impact factor: 12.969

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