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. 2018 Dec 12;8:17799. doi: 10.1038/s41598-018-35911-5

Nonanatomic resection is not inferior to anatomic resection for primary intrahepatic cholangiocarcinoma: A propensity score analysis

B Li 1, J L Song 1, Y Aierken 1, Y Chen 1, J L Zheng 1, J Y Yang 1,
PMCID: PMC6290773  PMID: 30542113

Abstract

Whether anatomic resection (AR) achieves better outcomes than nonanatomic resection (NAR) in patients with primary intrahepatic cholangiocarcinoma (ICC) is unclear. Data were retrieved for all consecutive patients who underwent liver resection for primary ICC from January 2007 to July 2017. The prognoses of the patients without direct invasion to contiguous organs or extrahepatic metastasis who underwent AR or NAR were compared. 85 patients underwent AR, and 65 patients underwent NAR. operation time were slightly decreased in the NAR group. The risk of Clavien-Dindo classification (CDC) IV in the AR group was significant higher than that in the NAR group. Cox regression analysis showed lymph node metastasis and adjuvant therapy were significant prognostic factors for overall survival (OS) and disease-free survival (DFS), respectively. After 1:1 propensity score matching (PSM), 29 pairs of patients were compared. The survival curves showed the NAR group had slightly improved DFS and OS than the AR group before and after matching. Thus, we conclude NAR was not inferior to AR in improving the survival outcomes for patients with primary solitary ICC lesions without direct invasion to contiguous organs or extrahepatic metastasis. Furthermore, patients may benefit from NAR.

Introduction

Intrahepatic cholangiocarcinoma (ICC) is the second most common malignant hepatic tumour and accounts for 5% to 30% of all primary liver malignancies14. Hepatic resection remains the first-line therapeutic option for cure of primary malignant liver tumors, and it is a surgical option for a broad range of patients with various stages of disease, as long as the patient has been with adequate liver remnant. The extent of resection for primary malignant liver tumors has been a topic of much interest. Anatomic resection (AR) is defined as the removal of a “hepatic segment or sub-segment, which include tumorbearing portal tributaries as well as major branch of the portal vein and hepatic artery”5. In theory, AR may be more effective in removing the entire tumor burden including possible satellites, nodules, as well as any high risk area of micro-portal invasion and intra-hepatic metastasis. On the other hand, parenchymal sparing or non-anatomic resection (NAR) offers less extensive liver resection that, in turn, may be associated with lower perioperative morbidity, as well as a lower incidence of an inadequate future liver remnant (FLR) and liver insufficiency6. Intrahepatic recurrence is regarded as occurring primarily through vascular invasion for patients with hepatocellular carcinoma (HCC), with AR considered theoretically effective for eradicating these intrahepatic metastases5,7. Thus, Makuuchi et al.5 originally introduced comparative studies AR vs NAR for single HCC lesions, and the potential benefit of AR for HCC lesions has been indicated812. For example, a systematic review and meta-analysis13 reported AR was associated with a disease-free survival (DFS) benefit at 1-, 3- and 5- years (p = 0.002, p = 0.004 and p < 0.0001, respectively) and also was associated with a decreased risk of death at 5-years (p = 0.01); however, an original study14 showed there was no difference in overall recurrence-free survival between the AR and NAR groups (P = 0.290). To our knowledge, the 5-year OS rate of ICC patients is reported from 30% to 35% after hepatectomy7. However, few studies have investigated the clinical outcomes between AR and NAR for ICC. In this study, we aimed to compare the perioperative outcomes and prognoses of patients between the AR and NAR groups with primary solitary ICC lesions without direct invasion to contiguous organs or extrahepatic metastasis using a one to one propensity score matching (PSM) analysis.

Results

Baseline patient and Clinicopathological characteristics

Patients were followed until the date of death or the final date of the study, December 30, 2017. A total of 150 patients underwent hepatectomy for primary solitary ICC lesions without direct invasion to contiguous organs or extrahepatic metastasis. These patients were followed for 3 to 107 months (median 12 months). The majority of patients were male (n = 93, 62.0%). More than half of the patients presented with a tumour size ≤5 cm (n = 80, 53.3%). Of note, half of the patients were positive for hepatitis B virus surface antigen (HBsAg) (n = 76, 50.7%), and presented with cirrhosis (n = 83, 55.3%). Only 9.3% patients had intrahepatic biliary stones (n = 14). Specifically, vascular invasion, periductal invasion, and perineural invasion were only observed in 17.3% (n = 26), 2.7% (n = 4), and 4.7% (n = 7) of tumours, respectively. Poorly differentiated lesions were found in 34.7% (n = 52) of patients, metastatic nodal disease was observed in 12.7% (n = 19) of these patients, and a positive resection margin was found in 8 (5.3%) patients. Regarding liver function, as defined by the Child-Pugh classification, 131 (87.3%) patients were class A, and 7 (4.7%) were class B; Of these 150 patients, 85 (56.7%) underwent AR, and 65 (43.3%) underwent NAR. Patients undergoing NAR were younger, more likely to be positive for HBsAg (NAR vs. AR; 60.0% VS 43.5%, P = 0.046), and more often presented with cirrhosis (NAR vs. AR; 66.2% VS 47.1%, P = 0.02). NAR was more frequently performed among patients who had small tumors. Patients undergoing NAR were also more likely to have advanced disease characterized by poor tumor differentiation (Table 1). Interestingly, patients who underwent a NAR were more likely to have a microscopically positive margin than patients who underwent AR (p = 0.001). Post-operatively, of these patients, 31 (40.8%) patients received antiviral therapy, and 43 (28.7%) patients received adjuvant therapy, including adjuvant chemotherapy, radiofrequency ablation, transcatheter arterial chemoembolization, and re-operation (Table 1). Notebly, NAR had more tumour distributing in the right liver than AR (NAR vs. AR; 73.8% VS 36.5%, P < 0.001) (Supplementary Table S1).

Table 1.

Demographic and clinicopathological characteristics of ICC.

All patients Propensity score-matched patients
AR group NAR group P-value AR group NAR group P-value
n = 85 n = 65 n = 29 n = 29
Background characteristics
Sex, male, n (%) 49 (57.6) 44 (67.7) 0.209 16(55.2) 16(55.2) 1
Age, median (range, yr) 59 (27–87) 54 (27–76) 0.043* 61 (27–87) 57 (36–72) 0.533
HBsAg, n (%) 37 (43.5) 39 (60.0) 0.046* 16 (55.2) 14 (48.3) 0.599
intrahepatic biliary stones,n(%) 11 (12.9) 3 (4.6) 0.082 1 (3.4) 2 (6.9) 1
Child-Pugh class B, n (%) 4 (4.7) 3 (4.6) 0.236 4 (13.8) 2 (6.9) 0.225
Cirrhosis, n (%) 40 (47.1) 43 (66.2) 0.02* 16 (55.2) 17 (58.6) 0.791
Tumour-related factors
CEA, ng/mL, median (range) 3 (0–571) 2 (0–322) 0.257 1.85 (0–11.67) 2.54 (0–25.32) 0.239
CA19-9, U/mL, median (range) 28 (0–5533) 26 (0–844) 0.884 27.3 (0–449.1) 29.3 (0–497.7) 0.898
Tumour diameter, cm, median (range) 6 (2–13) 4.5 (1–13) 0.0003* 5 (2–13) 4.5 (1–12) 0.754
Surgical factors
Operation time, min, median (range) 230(80–415) 190(89–477) 0.532 300 (110–415) 190 (89–477) 0.380
Blood loss, mL, median (range) 300(50–1500) 300(50–1300) 0.483 300 (100–1000) 200 (50–1300) 0.890
Intraoperative blood transfusion, n (%) 11(12.9) 10(15.4) 0.669 3 (10.3) 5 (17.2) 0.706
Postoperative blood transfusion, n (%) 13(15.3) 7(10.8) 0.419 4 (13.8) 3 (10.3) 1
Postoperative hospital stay,d,median(range) 8(1–39) 7(4–36) 0.733 7 (3–12) 7 (4–36) 0.097
antiviral therapy, n (%) 13 (15.3) 18(27.7) 0.063 4 (13.8) 6 (20.7) 0.487
Adjuvant therapy, n (%) 22 (25.9) 21(32.3) 0.388 7 (24.1) 8 (27.6) 0.764
Pathological factors
Negative surgical margin, n (%) 85(100) 57(87.7) 0.001* 29 (100) 24 (82.8) 0.052
Tumour differentiation, poor, n (%) 23(27.1) 29(44.6) 0.025* 11 (37.9) 9 (31.0) 0.581
Vascular invasion, n (%) 17 (20) 9(13.8) 0.324 4 (13.8) 3 (10.3) 1
Perineural invasion, n (%) 6 (7.1) 1(1.5) 0.140 1 (3.4) 0 1
Periductal invasion, n (%) 2 (2.4) 2(3.1) 1 0 2 (6.9) 0.491
Lymph node metastasis, n (%) 11(12.9) 8(12.3) 0.908 4 (13.8) 1 (3.4) 0.352

* Indicates statistically significant.

AR, anatomic resection; CA19-9, carbohydrate antigen 19-9; CEA, carcinoembryonic antigen; HBsAg, hepatitis B virus surface antigen; ICC, intrahepatic cholangiocarcinoma; NAR, nonanatomic resection.

Association of surgical procedure with Short and Long-Term Outcomes

There were no difference of Operation time, intraoperative blood loss, intra- and postoperative transfusion, and the length of postoperative hospital stay between the two groups (Table 1). Postoperative complications were stratified according to the Clavien-Dindo classification (CDC)15. Consequently, almost three of five patients (n = 40, 61.5%) developed a postoperative complications following NAR versus about three of four patients (n = 62, 72.9%) after AR (p = 0.138). Moreover, CDC IV was more common after AR versus NAR (p = 0.019), while CDC I, CDC II and CDC III were comparable (p = 0.138, p = 0.057 and p = 0.133, respectively, Table 2). Both groups were comparable with surgical technique-related (ascites, bile leakage, liver failure, cholangitis, and intra-abdominal bleeding), medical (pneumonia, pleural effusion, respiratory failure, and cardiac events), and infectious (systemic) complications (Table 2). No patients died in the hospital.

Table 2.

Short- and long-term outcome of patients undergoing AR and NAR for intrahepatic cholangiocarcinoma.

AR (n = 85) NAR (n = 65) P value
Postoperative complications 62 (72.9%) 40 (61.5%) 0.138
Clavien-Dindo classification
I 62 (72.9%) 40 (61.5%) 0.138
II 21 (24.7%) 8 (12.3%) 0.057
III 4 (4.7%) 0 0.133
IV 7 (8.2%) 0 0.019*
V 0 0 1
Ascites 9 (10.6%) 12 (18.5%) 0.168
Bile leakage 0 2 (3.1%) 0.186
Cholangitis 9 (10.6%) 7 (10.8%) 0.972
Liver failure 2 (2.4%) 0 0.506
Intra-abdominal bleeding 2 (2.4%) 0 0.506
Pneumonia 9 (10.6%) 4 (6.2%) 0.339
Pleural effusion 3 (3.5%) 0 0.258
Respiratory failure 2 (2.4%) 0 0.506
Cardiac events 1 (1.2%) 1 (1.5%) 0.669
Systemic sepsis 0 2 (3.1%) 0.186
Tumor recurrence
Intrahepatic 36 (42.4%) 22 (33.8%) 0.289
Extrahepatic 7 (8.2%) 5 (7.7%) 0.903
Intra- and extrahepatic 5 (5.9%) 6 (9.2%) 0.438

* indicates statistically significant.

During the follow-up period, tumour recurrence developed in 79 (52.7%) patients, with recurrent lesions most commonly developing in the remnant liver (n = 58, 73.4%), and 70 patients (46.7%) died. The 1-, 3-, and 5-year DFS rates were 50.9%, 32.8%, and 32.8% in the NAR group and 48.9%, 27.2%, and 27.2% in the AR group (P = 0.607, Fig. 1), respectively. The 1-, 3-, and 5-year OS rates were 75.2%, 47.0%, and 25.7% in the NAR group and 65.0%, 35.4%, and 29.1% in the AR group (P = 0.477, Fig. 2), respectively. A Cox regression model was performed to identify risk factors associated with DFS and OS of these 150 patients. On multivariable analysis, adjuvant therapy was associated with better DFS (HR 0.757, [95% CI, 0.605–0.949], p = 0.016) (Table 3), lymph node metastasis was associated with worse OS (HR 1.972, [95% CI, 1.039–3.743], p = 0.038) (Table 4). To better account for any residual confounding due to case mix, a sensitivity analysis investigating the association of surgical procedure with DFS and OS was performed within a matched patient cohort. Patients were matched based on propensity scores obtained from a logistic regression model accounting for patient, operation and tumour characteristics. Based on this 1:1 propensity score matching (PSM) approach, 29 NAR patients and 29 AR patients were matched (Table 1). In the propensity model, both groups had equivalent DFS (the 1-, 3- and 5-year DFS rates (NAR vs. AR; 58.6%, 41.0% and 41.0% vs. 53.2%, 19.2% and 19.2%, p = 0.370, Fig. 3)) and OS (the 1-, 3- and 5-year OS rates (NAR vs. AR; 71.1%, 51.7% and 51.7% vs. 70.2%, 22.9% and 22.9%, p = 0.229, Fig. 4)).

Figure 1.

Figure 1

DFS curves after hepatectomy for primary solitary ICC patients who underwent NAR and AR. The 1-, 3-, and 5-year DFS rates were 50.9%, 32.8%, and 32.8% in the NAR group and 48.9%, 27.2%, and 27.2% in the AR group (P = 0.607), respectively.

Figure 2.

Figure 2

OS curves after hepatectomy for primary solitary ICC patients who underwent NAR and AR. The 1-, 3-, and 5-year OS rates were 75.2%, 47.0%, and 25.7% in the NAR group and 65.0%, 35.4%, and 29.1% in the AR group (P = 0.477), respectively.

Table 3.

Clinicopathological factors associated with DFS in ICC patients.

Variable Categorization Univariate analysis Multivariate analysis
P value HR 95% CI P value
Sex female, male 0.929
Age ≤56, >56 0.424
HBsAg negative, positive 0.035*
intrahepatic biliary stones negative, positive 0.421
Tumour diameter, cm ≤5, >5 0.193
Surgical procedure nonanatomical, anatomical 0.607
Complications 0.250
  No complication
  Clavien-Dindo grade I-II
  Clavien-Dindo grade III-IV
Tumour differentiation poor, others 0.116
Vascular invasion absent, present 0.074
Perineural invasion absent, present 0.896
Periductal invasion absent, present 0.852
Surgical margin negative, positive 0.658
Lymph node metastasis absent, present 0.119
Pathological cirrhosis absent, present 0.629
antiviral therapy no, yes 0.436
Adjuvant therapy no, yes 0.006* 0.757 0.605–0.949 0.016*

* indicates statistically significant.

DFS, disease-free survival; HBsAg, hepatitis B virus surface antigen; HR, hazard ratio; ICC, intrahepatic cholangiocarcinoma.

Table 4.

Clinicopathological factors associated with OS in ICC patients.

Variable Categorization Univariate analysis Multivariate analysis
P value HR 95% CI P value
Sex female, male 0.526
Age ≤56, >56 0.630
HBsAg negative, positive 0.026*
intrahepatic biliary stones negative, positive 0.501
Tumour diameter, cm ≤5, >5 0.106
Surgical procedure nonanatomical, anatomical 0.477
Complications 0.154
  No complication
  Clavien-Dindo grade I-II
  Clavien-Dindo grade III-IV
Tumour differentiation poor, others 0.266
Vascular invasion absent, present 0.007*
Perineural invasion absent, present 0.468
Periductal invasion absent, present 0.142
Surgical margin negative, positive 0.844
Lymph node metastasis absent, present 0.011* 1.972 1.039–3.743 0.038*
Pathological cirrhosis absent, present 0.389
antiviral therapy no, yes 0.979
Adjuvant therapy no, yes 0.550

* indicates statistically significant.

HBsAg, hepatitis B virus surface antigen; HR, hazard ratio; ICC, intrahepatic cholangiocarcinoma; OS, overall survival.

Figure 3.

Figure 3

DFS curves after hepatectomy for primary solitary ICC patients who underwent NAR and AR after propensity score adjustment. the 1-, 3-, and 5-year DFS rates were 58.6%, 41.0% and 41.0% in the NAR group and 53.2%, 19.2% and 19.2% in the AR group (p = 0.370), respectively.

Figure 4.

Figure 4

OS curves after hepatectomy for primary solitary ICC patients who underwent AR and NAR after propensity score adjustment. The 1-, 3-, and 5-year OS rates were 71.1%, 51.7% and 51.7% in the NAR group and 70.2%, 22.9% and 22.9% in the AR group (p = 0.229), respectively.

Discussion

To date, partial hepatectomy remains the mainstay of curative treatment for ICC16,17. Unfortunately, prognosis after partial hepatectomy is unsatisfactory, with a high incidence of locoregional recurrence and/or extrahepatic metastasis and a low 5-year OS rate1820. In the 1980 s, Muccuchi et al.5 proposed AR in hepatectomy for HCC. Previous studies812 showed the benefit of AR for single HCC lesions. Both ICC and HCC arise in the hepatic parenchyma. However, the extent of hepatic resection and its impact on outcomes among patients with ICC has not been well examined. Thus, whether the application of AR or NAR can improve the prognosis of ICC patients is worthy to investigate. Selection biases are inevitable in retrospective comparisons of postoperative outcomes in patients who underwent AR and NAR for ICC. To better account for any residual confounding due to case mix, we adjusted the clinicopathological characteristics of patients to eliminate as much selection bias as possible by excluding patients with multiple lesions, adjacent organ invasion, and extrahepatic metastasis. Furthermore, the clinicopathological characteristics of patients were adjusted by 1:1 PSM.

In the current study, patients who underwent AR tended to have larger tumors, the NAR group had more patients with positivity of HBsAg and liver cirrhosis. Previous study6 had pointed that the ideal surgical approach to hepatic resection of primary liver carcinoma should optimize locoregional control, yet preserve as much nontumorous hepatic parenchyma in the FLR. Theoretically, wider margins may offer a better chance of disease control, whereas a more limited resection allows for the preservation of hepatic parenchyma and mitigation of the risk for liver insufficiency12,21,22. Thus, patients with large tumors may, however, simply be more likely to undergo AR versus NAR as larger tumors may necessitate major resections to achieve an negative margin.

As mentioned above about the definition of AR and NAR. We can see the extent of liver resection is greater in AR than in NAR. Theoretically, the risk of postoperative liver failure is higher in AR, especially in patients who have comorbidities such as liver cirrhosis, the advantage of NAR is related to the postoperative liver function reserve. Decreases in albumin, prothrombin time, and cholinesterase during the first year after surgery were reported to be lower in patients who underwent NAR than in patients who underwent AR23. Thus, patients with hepatic tumours have concomitant injury to the nonmalignant liver parenchyma, a smaller range of resections can result in better restoration and/or preservation of the liver function2426. Meanwhile, for patients with high risk of liver failure due to the low FLR, portal vein embolization can be performed to induce compensatory hypertrophy of the remnant liver and thus increase the safety of major hepatectomy27.

Different from previous studies12,28, the present study showed that the intraoperative bleeding and intraoperative blood transfusion had no significant difference between groups before and after matching, this may be due to AR are often performed under inflow occlusion of the liver by a Pringle maneuver28 in order to minimize bleeding during the transection phase. In addition, operation time were slightly decreased in the NAR group, but there were no significant difference between groups. Interestingly, in our current analysis, we found NAR group had more patients with tumour lesions located in the right liver than AR group, generally, the time spent at resection of the right liver tumour is longer than that of the left liver tomour, this might be explained by the fact that the right liver resection was more difficult than the left. That is, operation time in NAR group was less than in AR group. Furthermore, hepatic resection can be associated with a certain degree of peri-operative morbidity and mortality. In the current analysis, the length of hospital stay and the overall incidence of complications were largely comparable among patients who underwent AR versus NAR. Meanwhile, there were no significant differences of CDC I, CDC II, CDC III or CDC V between groups. However, notably, the risk of CDC IV in the AR group was significant higher than that in the NAR group. In addition, the incidence of postoperative hepatic failure, bile leakage and intra-abdominal bleeding as well as perioperative mortality did not differ between the two groups. Additionally, the occurrence of a postoperative complication has previously been reported to be an independent predictor of worse long-term outcomes29. However, we didn’t find the similar result, furthermore, a previous study30 found that the impact of major complications on survival was primarily in the immediate post-operative period rather than in the long term. Thus, these data suggest that the overall perioperative outcomes can be superior for NAR.

Regarding the clinicopathological factors affecting OS and DFS in patients with macroscopically solitary ICC lesions, univariate analysis showed that positivity of HBsAg was associated with worse DFS and OS. Thus, positivity for HBsAg was a risk factor for DFS and OS. However, in disagreement with a previous study31, this study showed antiviral therapy for HBV-related ICC patients didn’t improve survival outcomes. This maybe due to the comparable liver function or stable low level of virus reproduction. Consistent with previous studies31,32, vascular invasion was associated with worse OS, However, in the current study, the two groups had no significant difference of vascular invasion, thus, whether the AR is benefit for ICC patients with vascular invasion needs further study. Meanwhile, the results of our Cox regression analysis showed lymph node metastasis and adjuvant therapy were significant prognostic factors for OS and DFS, respectively. Similar to previous study33,34, lymph node metastasis was a risk factor for survival, however, there is no clear consensus on whether lymph nodes should be dissected35,36, and this aspect requires further research. Whilst the present study found the adjuvant therapy may improve the prognosis. Furthermore, previous study37 suggested that the neoadjuvant/adjuvant therapies may improve the prognosis of ICC patients especially for those with positive surgical margin. A meta-analysis38 demonstrated that adjuvant therapy benefited biliary cancer patients with node-positive or R1 disease.

In this study, the survival curves showed the NAR group had slightly improved DFS and OS than the AR group before and after matching, yet with no significant statistically differences. Similarly, a Japanese retrospective study39 had concluded that in HCC patients with impaired liver functions, limited liver resection without tumor exposure may provide longer tumor-free and overall survival. That is, the NAR had better survival outcomes than the AR especially for the patients with liver cirrhosis. In fact, several previous studies23,40 have noted that preservation of liver parenchyma should take priority, and minor hepatectomy can provide equal OS and DFS compared with major hepatectomy for small HCC.

In addition, some previous studies41,42 found that HCC and ICC tended more often to have associated micro-metastasis and disseminated via portal venous branches. Thus, local recurrence (LR) may be due to residual intrahepatic metastasis spreading through the portal venous system, which cannot be detected before and during surgery. AR based on the Couinaud system requires a complete removal of at least one Couinaud segment containing the tumour. This can completely eliminate the entire unilobar portal venous drainage of the involved lobe of the liver to decrease the LR. Pawlik T. M, et.al.30 found that patients undergoing major resection had similar outcomes to patients undergoing minor resection, as long as the surgical margin was wider than 5 mm. In contrast, when the surgical margin was narrow (1–4 mm), major resection was associated with a decrease in tumor recurrence compared with minor resection. Therefore, that is, both surgical margin and resection volume can impact the survival outcomes.

The current study found the NAR group had more patients with positive surgical margin, however, survival analysis showed that the surgical margin had no significant effect on DFS or OS before or after matching. Generally, the distance between surgical margin and lesion is greater in AR than in NAR; thus, theoretically, the NAR group had a higher potential of positive surgical margin than the AR group. Furthermore, previous studies43,44 reported that the residual tumor on the resection margin may grow and spread in a much more aggressive pattern, which may result in the early recurrence and poor OS. A systematic review and meta-analysis45 found that Patients with negative surgical margin had significantly favorable OS and progression-free survival after surgical resection for ICC. Similarly, Spolverato G, et al.46 had conclued, for patients undergoing resection of ICC, a positive margin was associated with an inferior long-term outcome. In addition, there was an incremental worsening DFS and OS as margin width decreased from 1 cm. Thus, one possible explanation for the results of the current study is that a higher application rate of adjuvant treatment in the NAR group. And as previous study37 mentioned, the patients with positive margin may benefit more from adjuvant therapy. In other words, the adjuvant therapy may improve the suvrvival of ICC patients especially for those with NAR. However, more studies are needed to validate these findings.

This study has several limitations, the main limitation is its retrospective design. And unmeasured differences between the 2 groups could potentially lead to confounding effects. The results are also limited by the small sample size. Thus, randomized controlled trials are needed to further determine whether NAR is superior to AR.

These findings suggest that ICC patients may receive more benefits from NAR than that from AR, especially for patients with liver cirrhosis due to the lower risk of CDC-IV such as liver failure. Thus, we conclude NAR was not inferior to AR in improving the survival outcomes for patients with primary solitary ICC lesions without direct invasion to contiguous organs or extrahepatic metastasis. Furthermore, patients may benefit from NAR.

Methods

Data Sources and Study Population

Data for all consecutive patients who underwent liver resection for primary solitary ICC lesions at West China Hospital of SiChuan University, China, from January 2007 to July 2017 were retrieved from a prospective database for this study. The Institutional Review Board of West China Hospital of SiChuan University approved this study, confirm that the study was performed in accordance with relevant guidelines/regulations and informed consent was obtained from all patients and/or their legal guardian/s. A total of 150 patients underwent initial, curative hepatectomy for histologically confirmed primary solitary ICC lesions without direct invasion to contiguous organs or extrahepatic metastasis. The resection margin was ascertained based on final pathology. Six patients died of some non-tumour-related causes during follow-up – 1 patient each died of intracerebral bleeding, severe pneumonia, gastrointestinal bleeding, acute cardiac infarction, liver failure, and car accident.

Data on standard demographic, perioperative clinicopathological, and tumour-related characteristics were collected. Factors compared in the AR and NAR groups included patient age and sex, positivity for HBsAg, intrahepatic biliary stones, Child-Pugh classification, carcinoembryonic antigen (CEA) level, carbohydrate antigen 19-9 (CA19-9) level, blood loss, blood transfusions, and complications. Tumour characteristics were based on final pathology reports, including liver cirrhosis, tumour size, tumor location, vascular/perineural/biliary/adjacent organ invasion, lymph node metastasis, and histological grade. Tumor size was defined as the largest diameter (in centimeters) for the tumor within the resected specimen. In addition, information on surgery, adjuvant therapy, such as adjuvant chemotherapy, radiofrequency ablation, transcatheter arterial chemoembolization, and re-operation was also collected for each patient. Margin status were determined from the final post-operative pathological report.

Follow-up

After discharge, the patients were followed-up every 3 months for up to 2 years after the initial operation and every 6 months thereafter. Recurrence was defined as the appearance of a new lesion that exhibited radiologic features compatible with ICC. DFS was defined as the interval between the date of operation and the date of diagnosis of first recurrence or last follow-up. OS was measured from the date of operation to the date of death or last follow-up. The date of last follow-up and survival status were collected for all patients.

Statistical analyses

Continuous data are expressed as medians and ranges. Qualitative variables are expressed as frequencies (percentages). The Student t test or Mann-Whitney U test was used for intergroup comparisons of quantitative variables as appropriate, whereas the χ2 test or Fisher exact test was used to compare categorical data. Two-sided P-values of <0.05 were considered statistically significant. A survival analysis was conducted using the Kaplan-Meier product-limit method, and the significance of differences between survival curves was determined using the log-rank test. Multivariate comparisons of survival distributions were carried out using Cox proportional hazard models. To eliminate selection bias, patients were matched 1:1 by propensity score47,48 based on their clinicopathological characteristics. All statistical analyses were performed using SPSS 23.0 (SPSS Inc., Chicago, IL).

Electronic supplementary material

41598_2018_35911_MOESM1_ESM.pdf (119.5KB, pdf)

The distribution of tumor location in the AR and NAR groups

Author Contributions

B.L. and J.L.S. contributed equally to this study and are co-first authors, they were coordinated the study, and wrote the article. J.Y.Y. was responsible for conception and design and revised the article. Y.A. participated in the review of literature. B.L., Y.A., Y.C. and J.L.Z. collected the data. B.L. and J.L.S. analyzed the data. All authors read and approved the final version of the article.

Data Availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing Interests

The authors declare no competing interests.

Footnotes

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Supplementary information accompanies this paper at 10.1038/s41598-018-35911-5.

References

  • 1.El-Serag HB, et al. Risk of Hepatobiliary and Pancreatic Cancers After Hepatitis C Virus Infection: A Population-Based Study of U.S. Veterans. Hepatology. 2009;49:116–123. doi: 10.1002/hep.22606. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Endo I, et al. Intrahepatic Cholangiocarcinoma: Rising Frequency, Improved Survival, and Determinants of Outcome After Resection. Ann Surg. 2008;248:84–96. doi: 10.1097/SLA.0b013e318176c4d3. [DOI] [PubMed] [Google Scholar]
  • 3.Malhi H, Gores GJ. Cholangiocarcinoma: Modern Advances in Understanding a Deadly Old Disease. J Hepatol. 2006;45:856–867. doi: 10.1016/j.jhep.2006.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Shaib YH, Davila JA, McGlynn K, El-Serag HB. Rising Incidence of Intrahepatic Cholangiocarcinoma in the United States: A True Increase? J Hepatol. 2004;40:472–477. doi: 10.1016/j.jhep.2003.11.030. [DOI] [PubMed] [Google Scholar]
  • 5.Makuuchi M, Hasegawa H, Yamazaki S. Ultrasonically Guided Subsegmentectomy. Surg Gynecol Obstet. 1985;161:346–350. [PubMed] [Google Scholar]
  • 6.Moris D, et al. Parenchymal-Sparing Versus Anatomic Liver Resection for Colorectal Liver Metastases: A Systematic Review. J Gastrointest Surg. 2017;21:1076–1085. doi: 10.1007/s11605-017-3397-y. [DOI] [PubMed] [Google Scholar]
  • 7.de Jong MC, et al. Intrahepatic Cholangiocarcinoma: An International Multi-Institutional Analysis of Prognostic Factors and Lymph Node Assessment. J Clin Oncol. 2011;29:3140–3145. doi: 10.1200/JCO.2011.35.6519. [DOI] [PubMed] [Google Scholar]
  • 8.Castaing D, Garden OJ, Bismuth H. Segmental Liver Resection Using Ultrasound-Guided Selective Portal Venous Occlusion. Ann Surg. 1989;210:20–23. doi: 10.1097/00000658-198907000-00003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Imamura H, et al. Prognostic Significance of Anatomical Resection and Des-Gamma-Carboxy Prothrombin in Patients with Hepatocellular Carcinoma. Br J Surg. 1999;86:1032–1038. doi: 10.1046/j.1365-2168.1999.01185.x. [DOI] [PubMed] [Google Scholar]
  • 10.Hasegawa K, et al. Prognostic Impact of Anatomic Resection for Hepatocellular Carcinoma. Ann Surg. 2005;242:252–259. doi: 10.1097/01.sla.0000171307.37401.db. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Emond JC, Polastri R. Anatomical Hepatectomy for Resection Or Transplantation. Am J Surg. 1996;172:29–34. doi: 10.1016/S0002-9610(96)00069-4. [DOI] [PubMed] [Google Scholar]
  • 12.Regimbeau JM, et al. Extent of Liver Resection Influences the Outcome in Patients with Cirrhosis and Small Hepatocellular Carcinoma. Surgery. 2002;131:311–317. doi: 10.1067/msy.2002.121892. [DOI] [PubMed] [Google Scholar]
  • 13.Moris D, et al. Anatomic Versus Non-Anatomic Resection for Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis. Eur J Surg Oncol. 2018;44:927–938. doi: 10.1016/j.ejso.2018.04.018. [DOI] [PubMed] [Google Scholar]
  • 14.Feng X, et al. A Double Blinded Prospective Randomized Trial Comparing the Effect of Anatomic Versus Non-Anatomic Resection On Hepatocellular Carcinoma Recurrence. HPB (Oxford). 2017;19:667–674. doi: 10.1016/j.hpb.2017.04.010. [DOI] [PubMed] [Google Scholar]
  • 15.Dindo D, Demartines N, Clavien PA. Classification of Surgical Complications: A New Proposal with Evaluation in a Cohort of 6336 Patients and Results of a Survey. Ann Surg. 2004;240:205–213. doi: 10.1097/01.sla.0000133083.54934.ae. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tan JC, Coburn NG, Baxter NN, Kiss A, Law CH. Surgical Management of Intrahepatic Cholangiocarcinoma–A Population-Based Study. Ann Surg Oncol. 2008;15:600–608. doi: 10.1245/s10434-007-9627-x. [DOI] [PubMed] [Google Scholar]
  • 17.Farges, O. et al. Influence of Surgical Margins On Outcome in Patients with Intrahepatic Cholangiocarcinoma: A Multicenter Study by the AFC-IHCC-2009 Study Group. Ann Surg. 254, 824–829, 830 (2011). [DOI] [PubMed]
  • 18.Farges O, Fuks D. Clinical Presentation and Management of Intrahepatic Cholangiocarcinoma. Gastroenterol Clin Biol. 2010;34:191–199. doi: 10.1016/j.gcb.2010.01.006. [DOI] [PubMed] [Google Scholar]
  • 19.Ohtsuka M, et al. Results of Surgical Treatment for Intrahepatic Cholangiocarcinoma and Clinicopathological Factors Influencing Survival. Br J Surg. 2002;89:1525–1531. doi: 10.1046/j.1365-2168.2002.02268.x. [DOI] [PubMed] [Google Scholar]
  • 20.Nathan, H. et al. Trends in Survival After Surgery for Cholangiocarcinoma: A 30-Year Population-Based SEER Database Analysis. J Gastrointest Surg. 11, 1488–1496, 1496–1497 (2007). [DOI] [PubMed]
  • 21.Moris D, Dimitroulis D, Papalampros A, Petrou A, Felekouras E. ALPPS Procedure for Hepatocellular Carcinoma in Patients with Chronic Liver Disease: Revealing a Terra Incognita. Ann Surg. 2017;266:e106–e107. doi: 10.1097/SLA.0000000000001890. [DOI] [PubMed] [Google Scholar]
  • 22.Lafaro K, et al. Defining Post Hepatectomy Liver Insufficiency: Where Do we Stand? J Gastrointest Surg. 2015;19:2079–2092. doi: 10.1007/s11605-015-2872-6. [DOI] [PubMed] [Google Scholar]
  • 23.Kaibori M, et al. Comparison of Limited and Anatomic Hepatic Resection for Hepatocellular Carcinoma with Hepatitis C. Surgery. 2006;139:385–394. doi: 10.1016/j.surg.2005.08.035. [DOI] [PubMed] [Google Scholar]
  • 24.Zoli M, et al. Evaluation of Liver Volume and Liver Function Following Hepatic Resection in Man. Liver. 1986;6:286–291. doi: 10.1111/j.1600-0676.1986.tb00293.x. [DOI] [PubMed] [Google Scholar]
  • 25.Feng K, et al. A Randomized Controlled Trial of Radiofrequency Ablation and Surgical Resection in the Treatment of Small Hepatocellular Carcinoma. J Hepatol. 2012;57:794–802. doi: 10.1016/j.jhep.2012.05.007. [DOI] [PubMed] [Google Scholar]
  • 26.Makuuchi M, Kokudo N. Clinical Practice Guidelines for Hepatocellular Carcinoma: The First Evidence Based Guidelines From Japan. World J Gastroenterol. 2006;12:828–829. doi: 10.3748/wjg.v12.i5.828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Makuuchi M, et al. Preoperative Portal Embolization to Increase Safety of Major Hepatectomy for Hilar Bile Duct Carcinoma: A Preliminary Report. Surgery. 1990;107:521–527. [PubMed] [Google Scholar]
  • 28.Yamashita Y, et al. Longterm Favorable Results of Limited Hepatic Resections for Patients with Hepatocellular Carcinoma: 20 Years of Experience. J Am Coll Surg. 2007;205:19–26. doi: 10.1016/j.jamcollsurg.2007.01.069. [DOI] [PubMed] [Google Scholar]
  • 29.Spolverato G, et al. Impact of Complications On Long-Term Survival After Resection of Intrahepatic Cholangiocarcinoma. Cancer-Am Cancer Soc. 2015;121:2730–2739. doi: 10.1002/cncr.29419. [DOI] [PubMed] [Google Scholar]
  • 30.Zhang XF, et al. Perioperative and Long-Term Outcome for Intrahepatic Cholangiocarcinoma: Impact of Major Versus Minor Hepatectomy. J GAstrointest Surg. 2017;21:1841–1850. doi: 10.1007/s11605-017-3499-6. [DOI] [PubMed] [Google Scholar]
  • 31.Ahn CS, et al. Prognostic Impact of Hepatitis B Virus Infection in Patients with Intrahepatic Cholangiocarcinoma. Anz J Surg. 2018;88:212–217. doi: 10.1111/ans.13753. [DOI] [PubMed] [Google Scholar]
  • 32.Murakami Y, et al. Prognostic Factors After Surgical Resection for Intrahepatic, Hilar, and Distal Cholangiocarcinoma. Ann Surg Oncol. 2011;18:651–658. doi: 10.1245/s10434-010-1325-4. [DOI] [PubMed] [Google Scholar]
  • 33.Bridgewater J, et al. Guidelines for the Diagnosis and Management of Intrahepatic Cholangiocarcinoma. J Hepatol. 2014;60:1268–1289. doi: 10.1016/j.jhep.2014.01.021. [DOI] [PubMed] [Google Scholar]
  • 34.Nakagawa T, et al. Number of Lymph Node Metastases is a Significant Prognostic Factor in Intrahepatic Cholangiocarcinoma. World J Surg. 2005;29:728–733. doi: 10.1007/s00268-005-7761-9. [DOI] [PubMed] [Google Scholar]
  • 35.Yamashita Y, et al. The Impact of Surgical Treatment and Poor Prognostic Factors for Patients with Intrahepatic Cholangiocarcinoma: Retrospective Analysis of 60 Patients. Anticancer Res. 2008;28:2353–2359. [PubMed] [Google Scholar]
  • 36.Weber SM, et al. Intrahepatic Cholangiocarcinoma: Expert Consensus Statement. HPB (Oxford). 2015;17:669–680. doi: 10.1111/hpb.12441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sur MD, et al. Defining the Benefit of Adjuvant Therapy Following Resection for Intrahepatic Cholangiocarcinoma. Ann Surg Oncol. 2015;22:2209–2217. doi: 10.1245/s10434-014-4275-4. [DOI] [PubMed] [Google Scholar]
  • 38.Horgan AM, Amir E, Walter T, Knox JJ. Adjuvant Therapy in the Treatment of Biliary Tract Cancer: A Systematic Review and Meta-Analysis. J Clin Oncol. 2012;30:1934–1940. doi: 10.1200/JCO.2011.40.5381. [DOI] [PubMed] [Google Scholar]
  • 39.Furukawa T, Higuchi R, Yamamoto M. Clinical Relevance of Frozen Diagnosis of Ductal Margins in Surgery of Bile Duct Cancer. J Hepatobiliary Pancreat Sci. 2014;21:459–462. doi: 10.1002/jhbp.73. [DOI] [PubMed] [Google Scholar]
  • 40.Dahiya D, et al. Minor Versus Major Hepatic Resection for Small Hepatocellular Carcinoma (HCC) in Cirrhotic Patients: A 20-Year Experience. Surgery. 2010;147:676–685. doi: 10.1016/j.surg.2009.10.043. [DOI] [PubMed] [Google Scholar]
  • 41.Fabris L, et al. Nuclear Expression of S100A4 Calcium-Binding Protein Increases Cholangiocarcinoma Invasiveness and Metastasization. Hepatology. 2011;54:890–899. doi: 10.1002/hep.24466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Maithel SK, et al. Multidisciplinary Approaches to Intrahepatic Cholangiocarcinoma. Cancer-Am Cancer Soc. 2013;119:3929–3942. doi: 10.1002/cncr.28312. [DOI] [PubMed] [Google Scholar]
  • 43.Michalopoulos GK. Liver Regeneration After Partial Hepatectomy: Critical Analysis of Mechanistic Dilemmas. Am J Pathol. 2010;176:2–13. doi: 10.2353/ajpath.2010.090675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Michalopoulos GK. Advances in Liver Regeneration. Expert Rev Gastroenterol Hepatol. 2014;8:897–907. doi: 10.1586/17474124.2014.934358. [DOI] [PubMed] [Google Scholar]
  • 45.Li MX, et al. Impaction of Surgical Margin Status On the Survival Outcome After Surgical Resection of Intrahepatic Cholangiocarcinoma: A Systematic Review and Meta-Analysis. J Surg Res. 2016;203:163–173. doi: 10.1016/j.jss.2016.02.012. [DOI] [PubMed] [Google Scholar]
  • 46.Spolverato G, et al. The Impact of Surgical Margin Status on Long-Term Outcome After Resection for Intrahepatic Cholangiocarcinoma. Ann Surg Oncol. 2015;22:4020–4028. doi: 10.1245/s10434-015-4472-9. [DOI] [PubMed] [Google Scholar]
  • 47.D’Agostino RJ. Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non-Randomized Control Group. Stat Med. 1998;17:2265–2281. doi: 10.1002/(SICI)1097-0258(19981015)17:19&#x0003c;2265::AID-SIM918&#x0003e;3.0.CO;2-B. [DOI] [PubMed] [Google Scholar]
  • 48.Rubin DB. Estimating Causal Effects From Large Data Sets Using Propensity Scores. Ann Intern Med. 1997;127:757–763. doi: 10.7326/0003-4819-127-8_Part_2-199710151-00064. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

41598_2018_35911_MOESM1_ESM.pdf (119.5KB, pdf)

The distribution of tumor location in the AR and NAR groups

Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.


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