Introduction: Although tumor budding (TB) has been recognized as a representative adverse prognosticator in gastrointestinal malignancies, it is not well elucidated in distal extrahepatic bile duct carcinoma (DBDC). Herein, we investigated the prognostic significance of peritumoral (PTB) and intratumoral (ITB) budding according to the modified DBDC staging of the 8th edition of the American Joint Committee on Cancer. Methods: PTB and ITB were independently evaluated in a cohort of DBDC patients (n = 410) based on the 2016 International Tumor Budding Consensus Conference. Results: High levels of PTB (PTBHigh, ≥ grade-2) and ITB (ITBHigh, ≥ grade-3) were identified in 316 (77%) and 238 (58%) cases, respectively. In univariate analysis, PTBHigh and ITBHigh, larger size and sclerosing tumor growth pattern, higher histologic grade, extrapancreatic location, adenocarcinomas unrelated to intraductal papillary neoplasm of the bile duct, pancreatic, duodenal, and lymphovascular invasion, perineural invasion, cancer involvement of the bile duct resection margin, nodal metastasis, and higher T and N categories and disease stages were associated with shorter patient overall survival (OS) times. In multivariate analysis, PTBHigh and ITBHigh remained poor independent prognostic indicators of OS in DBDC patients. Specifically, ITBHigh could predict poor prognosis in patients with stage I (T1N0) DBDC. Conclusions: Both PTBHigh and ITBHigh were strong prognostic indicators in patients with DBDC. Thus, ITB could be used to predict worse prognoses in patients with DBDC, in which PTB is difficult to assess, especially for patients with stage I (T1N0) DBDC.

Distal extrahepatic bile duct carcinoma (DBDC) is an aggressive neoplasm with a poor prognosis [1]. DBDC staging was separated from that of proximal extrahepatic bile duct carcinoma (PBDC) in the 7th edition of the American Joint Committee on Cancer (AJCC) staging manual [2]. Furthermore, in the 8th edition, the DBDC T category of the staging system was modified according to tumor invasion depth as T1 for <5 mm, T2 for 5–12 mm, and T3 for >12 mm, and the N category was classified into three tiers according to the number of metastatic nodes as N0 for no lymph node involvement, N1 for 1−3 metastatic nodes, and N2 for ≥4 metastatic nodes [3].

Tumor budding (TB) is histologically defined as single cancer cells or clusters ≤4 cancer cells and biologically represents the initial phase of alterations for tumor invasion through epithelial-mesenchymal transition [4]. The assessment of TB was standardized by the hotspot method of the International Tumor Budding Consensus Conference (ITBCC) in 2016 [5]. TB has been most prominent at the invasive front of tumors, which has generally been termed “peritumoral budding (PTB)” [5]. Conversely, TB can also be found within the main tumor body, which is referred to as “intratumoral budding (ITB)” [6]. PTB can only be evaluated at the invasive front of tumors in surgical specimens, whereas ITB can be assessed in both biopsy and surgically resected specimens [7, 8]. PTB has been recognized as a representative adverse prognosticator in colorectal carcinoma (CRC) [4, 5]. PTB was associated with higher stage and tumor grade, lymphovascular invasion, and nodal and distant metastases [5]. Specifically, PTB was predictive for nodal metastasis in patients with pT1 CRC and, thereby, aided in selecting radical surgery with node dissection [4, 9]. PTB indicates a high-risk group in patients with stage II CRC, for which adjuvant chemotherapy should be considered [4, 10]. Emerging evidence also suggests that ITB detected in the pretreatment biopsies of CRC patients could predict nodal and distant metastases and poor responses to neoadjuvant therapy [4, 7, 8].

TB, specifically PTB, has been reported as a prognostic predictor in patients with bile duct carcinomas (BDCs) [11‒17]. However, only two studies of TB in DBDCs applied the ITBCC criteria and the 8th edition DBDC staging scheme to a small number of cases (Table 1) [11, 12], and the prognostic utility of ITB has not been elucidated in DBDC. This study investigated the associations of TB, both PTB and ITB, with clinicopathologic factors and analyzed the prognostic implications of TB in patients with DBDC.

Table 1.

Previous studies on PTB in all BDCs

StudyCountryNStaging systemCut off levelPTBHigh, n (%)Survival analysis
univariatemultivariate
Present Korea 410, all DBDCs 8th AJCC ≥5 316/410 (77) OS (p < 0.001) OS (p = 0.032) 
Nakayama et al. [11Japan 65, all DBDCsa 8th UICC ≥5 53/65 (82) OS (p < 0.05) OS (p < 0.05) 
Ogino et al. [12Japan 115 DBDCs and 195 PBDCs 8th AJCC ≥5 92/115 (80) DBDCs OS (p < 0.001) in DBDCs OS (p = 0.046) in DBDCs 
Regmi et al. [13China 1290b Meta-analysis 
Agostini-Vulaj et al. [14USA 58 IBDCs and 54 EBDCs 8th AJCC ≥5 37/112 (33) DSS (p < 0.001)c DSS (p = 0.001)c 
Ito et al. [15Japan 78 PBDCs 8th UICC ≥5 24/78 (31) DSS (p < 0.001) DSS (p < 0.001) 
Tanaka et al. [16Japan 107 IBDCs 8th UICC ≥5 43/107 (40) OS and RFS (both p < 0.001) OS and RFS (both p < 0.001) 
38/54 (70) OS (p = 0.002) and RFS (p = 0.025) OS (p < 0.001) and RFS (p = 0.009) 
54 PBDCs 
40 EBDCsa 24/40 (60) Not associated with OS and RFS Not associated with OS and RFS 
Okubo et al. [17Japan 299b 7th UICC ≥5 29/299 (10) OS (p < 0.001) OS (p < 0.001) 
StudyCountryNStaging systemCut off levelPTBHigh, n (%)Survival analysis
univariatemultivariate
Present Korea 410, all DBDCs 8th AJCC ≥5 316/410 (77) OS (p < 0.001) OS (p = 0.032) 
Nakayama et al. [11Japan 65, all DBDCsa 8th UICC ≥5 53/65 (82) OS (p < 0.05) OS (p < 0.05) 
Ogino et al. [12Japan 115 DBDCs and 195 PBDCs 8th AJCC ≥5 92/115 (80) DBDCs OS (p < 0.001) in DBDCs OS (p = 0.046) in DBDCs 
Regmi et al. [13China 1290b Meta-analysis 
Agostini-Vulaj et al. [14USA 58 IBDCs and 54 EBDCs 8th AJCC ≥5 37/112 (33) DSS (p < 0.001)c DSS (p = 0.001)c 
Ito et al. [15Japan 78 PBDCs 8th UICC ≥5 24/78 (31) DSS (p < 0.001) DSS (p < 0.001) 
Tanaka et al. [16Japan 107 IBDCs 8th UICC ≥5 43/107 (40) OS and RFS (both p < 0.001) OS and RFS (both p < 0.001) 
38/54 (70) OS (p = 0.002) and RFS (p = 0.025) OS (p < 0.001) and RFS (p = 0.009) 
54 PBDCs 
40 EBDCsa 24/40 (60) Not associated with OS and RFS Not associated with OS and RFS 
Okubo et al. [17Japan 299b 7th UICC ≥5 29/299 (10) OS (p < 0.001) OS (p < 0.001) 

UICC, Union for International Cancer Control; IBDC, intrahepatic bile duct carcinoma; EBDC, extrahepatic bile duct carcinoma; DSS, disease-specific survival; RFS, recurrence-free survival.

aAll nonpapillary type.

bIncluded cases of ampulla, gallbladder, intrahepatic duct, and extrahepatic duct carcinoma.

cPTBHigh was not associated with RFS.

Tissue Samples and Clinicopathologic Findings

A total of 410 surgically resected primary DBDCs collected from a previous study were included from two institutions (Asan Medical Center between 2008 and 2015 and Incheon St. Mary’s Hospital between 2001 and 2013) [18]. Cases with neoadjuvant chemotherapy were excluded as previously described [18]. Clinicopathologic DBDC data obtained from a previous study were used, including T and N categories and staging group based on the 8th edition of the AJCC scheme [18]. In addition, the overall survival (OS) time and the survival status of the patients were updated [18].

PTB and ITB were independently counted in one hotspot of a ×20 objective field (area, 0.785 mm2) at the peritumoral invasion front and in the intratumoral area, respectively. PTB and ITB were graded based on the number of TBs as G1 (0–4), G2 (5–9), or G3 (≥10), as recommended by the ITBCC (Fig. 1a, b) [5]. Consequently, high PTB and ITB grades (PTBHigh and ITBHigh) were determined to maximize their sensitivities and specificities in predicting OS using receiver operating characteristic (ROC) curve analysis as described in previous studies [19, 20].

Fig. 1.

Histology of TB. TB was counted in one hotspot of a ×20 objective field (area, 0.785 mm2), as recommended by the ITBCC. Low (a) and high (b) TB counts (arrows).

Fig. 1.

Histology of TB. TB was counted in one hotspot of a ×20 objective field (area, 0.785 mm2), as recommended by the ITBCC. Low (a) and high (b) TB counts (arrows).

Close modal

Statistical Analysis

SPSS Statistics for Windows (version 28.0; IBM, Armonk, NY, USA) was used for the analyses. Continuous and categorical variables were compared using the Student’s t test and χ2 and/or Fisher’s exact test. Survival curves were plotted using the Kaplan-Meier method, and statistical significances were tested using the log-rank test and the Cox proportional hazards model. A p value of <0.05 was considered statistically significant.

Clinicopathologic Characteristics

Table 2 shows the clinicopathologic characteristics of the patients. The median follow-up time of the patients after surgery was 36.7 ± 25.2 months (range: 1.1−119.6 months). Histologically, DBDCs were categorized into 380 tubular adenocarcinomas (92.7%), one mucinous carcinoma (0.2%), 23 adenocarcinomas arising from the intraductal papillary neoplasm of the bile duct (IPNB) (5.6%), two adenosquamous carcinomas (0.5%), and four undifferentiated carcinomas (1.0%). The T categories included 4 Tis (1.0%), 125 T1 (30.5%), 201 T2 (49.0%), and 80 T3 (19.5%). No T4 category was seen in our cohort. Nodal metastases were seen in 145 cases (35.4%), with 112 N1 (27.3%) and 33 N2 (8.1%) cases. Finally, there were four cases of stage 0 (1.0%), 106 of stage I (25.9%), 142 of stage IIA (34.6%), 124 of stage IIB (30.2%), 32 of stage IIIA (7.8%), and two of stage IV (0.5%), with no cases of stage IIIB.

Table 2.

Clinicopathologic characteristics of patients with DBDC

VariableN (%)
Operation 
 Pancreatoduodenectomy including Whipple 373 (91.0) 
 Bile duct resection 37 (9.0) 
Age, years (mean±SD) 66.3±9.5 
Tumor size, cm (mean±SD) 2.7±1.2 
Sex 
 Male 264 (64.4) 
 Female 146 (35.6) 
Growth pattern 
 Papillary 30 (7.3) 
 Nodular 63 (15.4) 
 Sclerosing 317 (77.3) 
Tumor location 
 Extrapancreatic 57 (13.9) 
 Intrapancreatic 331 (80.7) 
 Diffuse (both extra- and intrapancreatic) 22 (5.4) 
Histologic subtype 
 Tubular adenocarcinoma 380 (92.7) 
 Mucinous carcinoma 1 (0.2) 
 Adenocarcinoma arising from IPNB 23 (5.6) 
 Adenosquamous carcinoma 2 (0.5) 
 Undifferentiated carcinoma 4 (1.0) 
Histologic differentiation 
 Well differentiated 76 (18.5) 
 Moderately differentiated 266 (64.9) 
 Poorly differentiated 64 (15.6) 
 Undifferentiated 4 (1.0) 
Lymphovascular invasion 182 (44.4) 
Perineural invasion 321 (78.3) 
Pancreatic invasion 266 (64.9) 
Duodenal invasion 111 (27.1) 
Gallbladder invasion 
 No involvement 343 (83.7) 
 Cystic duct involvement 63 (15.3) 
 Cystic duct and gallbladder involvement 4 (1.0) 
Cancer involvement of bile duct resection margin 52 (12.7) 
Total nodes examined (mean±SD) 14.9±9.0 
Number of metastatic nodes (mean±SD) 0.9±1.8 
Nodal metastasis 145 (35.4) 
T category 
 Tis 4 (1.0) 
 T1 125 (30.5) 
 T2 201 (49.0) 
 T3 80 (19.5) 
 T4 
N category 
 N0 265 (64.6) 
 N1 112 (27.3) 
 N2 33 (8.1) 
Stage grouping 
 0 4 (1.0) 
 I 106 (25.9) 
 IIA 142 (34.6) 
 IIB 124 (30.2) 
 IIIA 32 (7.8) 
 IIIB 
 IV 2 (0.5) 
PTB count (mean±SD) 7.9±4.1 
PTB grade 
 G1 94 (22.9) 
 G2 59 (14.4) 
 G3 257 (62.7) 
ITB count (mean±SD) 7.3±4.5 
ITB grade 
 G1 123 (30.0) 
 G2 49 (12.0) 
 G3 238 (58.0) 
VariableN (%)
Operation 
 Pancreatoduodenectomy including Whipple 373 (91.0) 
 Bile duct resection 37 (9.0) 
Age, years (mean±SD) 66.3±9.5 
Tumor size, cm (mean±SD) 2.7±1.2 
Sex 
 Male 264 (64.4) 
 Female 146 (35.6) 
Growth pattern 
 Papillary 30 (7.3) 
 Nodular 63 (15.4) 
 Sclerosing 317 (77.3) 
Tumor location 
 Extrapancreatic 57 (13.9) 
 Intrapancreatic 331 (80.7) 
 Diffuse (both extra- and intrapancreatic) 22 (5.4) 
Histologic subtype 
 Tubular adenocarcinoma 380 (92.7) 
 Mucinous carcinoma 1 (0.2) 
 Adenocarcinoma arising from IPNB 23 (5.6) 
 Adenosquamous carcinoma 2 (0.5) 
 Undifferentiated carcinoma 4 (1.0) 
Histologic differentiation 
 Well differentiated 76 (18.5) 
 Moderately differentiated 266 (64.9) 
 Poorly differentiated 64 (15.6) 
 Undifferentiated 4 (1.0) 
Lymphovascular invasion 182 (44.4) 
Perineural invasion 321 (78.3) 
Pancreatic invasion 266 (64.9) 
Duodenal invasion 111 (27.1) 
Gallbladder invasion 
 No involvement 343 (83.7) 
 Cystic duct involvement 63 (15.3) 
 Cystic duct and gallbladder involvement 4 (1.0) 
Cancer involvement of bile duct resection margin 52 (12.7) 
Total nodes examined (mean±SD) 14.9±9.0 
Number of metastatic nodes (mean±SD) 0.9±1.8 
Nodal metastasis 145 (35.4) 
T category 
 Tis 4 (1.0) 
 T1 125 (30.5) 
 T2 201 (49.0) 
 T3 80 (19.5) 
 T4 
N category 
 N0 265 (64.6) 
 N1 112 (27.3) 
 N2 33 (8.1) 
Stage grouping 
 0 4 (1.0) 
 I 106 (25.9) 
 IIA 142 (34.6) 
 IIB 124 (30.2) 
 IIIA 32 (7.8) 
 IIIB 
 IV 2 (0.5) 
PTB count (mean±SD) 7.9±4.1 
PTB grade 
 G1 94 (22.9) 
 G2 59 (14.4) 
 G3 257 (62.7) 
ITB count (mean±SD) 7.3±4.5 
ITB grade 
 G1 123 (30.0) 
 G2 49 (12.0) 
 G3 238 (58.0) 

The incidence of PTB was varied, with average numbers of 7.9 ± 4.1. The PTB grades consisted of G1 (94 cases, 22.9%), G2 (59, 14.4%), and G3 (257, 62.7%). After ROC analysis, PTBHigh was defined as PTB G2 and G3. The average number of ITB cases was 7.3 ± 4.5, and the ITB grades included G1 (123 cases, 30.0%), G2 (49, 12.0%), and G3 (238, 58.0%). ITBHigh was defined as ITB G3 by ROC analysis. Consequently, PTBHigh and ITBHigh were identified in 316 (77.1%) and 238 (58.0%) cases, respectively.

Association of Clinicopathologic Findings with PTB and ITB

Table 3 shows the association of PTB and ITB with clinicopathologic factors. PTBHigh was significantly associated with DBDCs unrelated to IPNB (p < 0.001), a sclerosing growth pattern and higher tumor grade (both p < 0.001), lymphovascular invasion (p = 0.011), perineural and pancreatic invasion (both p < 0.001), nodal metastasis (p = 0.001), higher T and N categories (p < 0.001 and p = 0.002, respectively), and staging group (p < 0.001). Similar to PTBHigh, ITBHigh was more commonly found in DBDCs unrelated to IPNB (p < 0.001), tumors showing a sclerosing growth pattern and higher tumor grade (both p < 0.001), lymphovascular invasion (p = 0.022), perineural and pancreatic invasion (both p < 0.001), and higher T category and staging group (both p < 0.001). In addition, ITBHigh was correlated with duodenal invasion (p = 0.017).

Table 3.

Association between clinicopathologic factors and PTB and ITB in DBDC

Variable, N (%)PTBITB
PTBLowPTBHighp valueITBLowITBHighp value
Patients 94 (22.9) 316 (77.1)  172 (42.0) 238 (58.0)  
Age, years (mean±SD) 66.6±9.6 66.2±9.5 0.753 66.1±9.9 66.4±9.2 0.699 
Size, cm (mean±SD) 2.8±1.3 2.7±1.2 0.470 2.8±1.3 2.7±1.1 0.188 
Sex   0.272   0.375 
 Male 65 (69.1) 199 (63.0)  115 (66.9) 149 (62.6)  
 Female 29 (30.9) 117 (37.0)  57 (33.1) 89 (37.4)  
Growth pattern   <0.001a   <0.001a 
 Papillary 18 (19.1) 12 (3.8)  26 (15.1) 4 (1.7)  
 Nodular 22 (23.4) 41 (13.0)  30 (17.4) 33 (13.9)  
 Sclerosing 54 (57.5) 263 (83.2)  116 (67.5) 201 (84.4)  
Tumor location   0.562   0.360 
 Extrapancreatic 13 (13.8) 44 (13.9)  21 (12.2) 36 (15.1)  
 Intrapancreatic 78 (83.0) 253 (80.1)  139 (80.8) 192 (80.7)  
 Diffuse (both extra- and intrapancreatic) 3 (3.2) 19 (6.0)  12 (7.0) 10 (4.2)  
Histologic subtypeb   <0.001a   <0.001a 
 Tubular adenocarcinoma 79 (85.9) 301 (96.8)  150 (88.2) 230 (98.7)  
 Adenocarcinoma arising from IPNB 13 (14.1) 10 (3.2)  20 (11.8) 3 (1.3)  
Histologic differentiation   <0.001a   <0.001a 
 Well to moderately differentiated 86 (91.5) 256 (81.0)  157 (91.3) 185 (77.7)  
 Poorly differentiated or undifferentiated 8 (8.5) 60 (19.0)  15 (8.7) 53 (22.3)  
Lymphovascular invasion 31 (33.0) 151 (47.8) 0.011a 65 (37.8) 117 (49.2) 0.022a 
Perineural invasion 52 (55.3) 269 (85.1) <0.001a 115 (66.9) 206 (86.6) <0.001a 
Pancreatic invasion 40 (42.6) 226 (71.5) <0.001a 87 (50.6) 179 (75.2) <0.001a 
Duodenal invasion 19 (20.2) 92 (29.1) 0.088 36 (20.9) 75 (31.5) 0.017a 
Gallbladder invasion   0.945   0.371 
 No involvement 78 (83.0) 265 (83.9)  141 (82.0) 202 (84.9)  
 Cystic duct involvement 15 (15.9) 48 (15.2)  28 (16.3) 35 (14.7)  
 Cystic duct and gallbladder involvement 1 (1.1) 3 (0.9)  3 (1.7) 1 (0.4)  
Margin involvement by cancer 12 (12.8) 40 (12.7) 0.978 23 (13.4) 29 (12.2) 0.721 
Nodal metastasis 20 (21.3) 125 (39.6) 0.001a 52 (30.2) 93 (39.1) 0.065 
T categoryc   <0.001a   <0.001a 
 T1 45 (50.0) 80 (25.3)  70 (41.6) 55 (23.1)  
 T2 31 (34.4) 170 (53.8)  69 (41.1) 132 (55.5)  
 T3 14 (15.6) 66 (20.9)  29 (17.3) 51 (21.4)  
N category   0.002a   0.171 
 N0 74 (78.7) 191 (60.4)  120 (69.8) 145 (61.0)  
 N1 18 (19.2) 94 (29.8)  41 (23.8) 71 (29.8)  
 N2 2 (2.1) 31 (9.8)  11 (6.4) 22 (9.2)  
Stage grouping   <0.001a   <0.001a 
 Stage I 42 (46.7) 64 (20.3)  64 (38.1) 42 (17.7)  
 Stage II 45 (50.0) 221 (69.9)  92 (54.8) 174 (73.1)  
 Stage III 2 (2.2) 30 (9.5)  11 (6.5) 21 (8.8)  
 Stage IV 1 (1.1) 1 (0.3)  1 (0.6) 1 (0.4)  
Variable, N (%)PTBITB
PTBLowPTBHighp valueITBLowITBHighp value
Patients 94 (22.9) 316 (77.1)  172 (42.0) 238 (58.0)  
Age, years (mean±SD) 66.6±9.6 66.2±9.5 0.753 66.1±9.9 66.4±9.2 0.699 
Size, cm (mean±SD) 2.8±1.3 2.7±1.2 0.470 2.8±1.3 2.7±1.1 0.188 
Sex   0.272   0.375 
 Male 65 (69.1) 199 (63.0)  115 (66.9) 149 (62.6)  
 Female 29 (30.9) 117 (37.0)  57 (33.1) 89 (37.4)  
Growth pattern   <0.001a   <0.001a 
 Papillary 18 (19.1) 12 (3.8)  26 (15.1) 4 (1.7)  
 Nodular 22 (23.4) 41 (13.0)  30 (17.4) 33 (13.9)  
 Sclerosing 54 (57.5) 263 (83.2)  116 (67.5) 201 (84.4)  
Tumor location   0.562   0.360 
 Extrapancreatic 13 (13.8) 44 (13.9)  21 (12.2) 36 (15.1)  
 Intrapancreatic 78 (83.0) 253 (80.1)  139 (80.8) 192 (80.7)  
 Diffuse (both extra- and intrapancreatic) 3 (3.2) 19 (6.0)  12 (7.0) 10 (4.2)  
Histologic subtypeb   <0.001a   <0.001a 
 Tubular adenocarcinoma 79 (85.9) 301 (96.8)  150 (88.2) 230 (98.7)  
 Adenocarcinoma arising from IPNB 13 (14.1) 10 (3.2)  20 (11.8) 3 (1.3)  
Histologic differentiation   <0.001a   <0.001a 
 Well to moderately differentiated 86 (91.5) 256 (81.0)  157 (91.3) 185 (77.7)  
 Poorly differentiated or undifferentiated 8 (8.5) 60 (19.0)  15 (8.7) 53 (22.3)  
Lymphovascular invasion 31 (33.0) 151 (47.8) 0.011a 65 (37.8) 117 (49.2) 0.022a 
Perineural invasion 52 (55.3) 269 (85.1) <0.001a 115 (66.9) 206 (86.6) <0.001a 
Pancreatic invasion 40 (42.6) 226 (71.5) <0.001a 87 (50.6) 179 (75.2) <0.001a 
Duodenal invasion 19 (20.2) 92 (29.1) 0.088 36 (20.9) 75 (31.5) 0.017a 
Gallbladder invasion   0.945   0.371 
 No involvement 78 (83.0) 265 (83.9)  141 (82.0) 202 (84.9)  
 Cystic duct involvement 15 (15.9) 48 (15.2)  28 (16.3) 35 (14.7)  
 Cystic duct and gallbladder involvement 1 (1.1) 3 (0.9)  3 (1.7) 1 (0.4)  
Margin involvement by cancer 12 (12.8) 40 (12.7) 0.978 23 (13.4) 29 (12.2) 0.721 
Nodal metastasis 20 (21.3) 125 (39.6) 0.001a 52 (30.2) 93 (39.1) 0.065 
T categoryc   <0.001a   <0.001a 
 T1 45 (50.0) 80 (25.3)  70 (41.6) 55 (23.1)  
 T2 31 (34.4) 170 (53.8)  69 (41.1) 132 (55.5)  
 T3 14 (15.6) 66 (20.9)  29 (17.3) 51 (21.4)  
N category   0.002a   0.171 
 N0 74 (78.7) 191 (60.4)  120 (69.8) 145 (61.0)  
 N1 18 (19.2) 94 (29.8)  41 (23.8) 71 (29.8)  
 N2 2 (2.1) 31 (9.8)  11 (6.4) 22 (9.2)  
Stage grouping   <0.001a   <0.001a 
 Stage I 42 (46.7) 64 (20.3)  64 (38.1) 42 (17.7)  
 Stage II 45 (50.0) 221 (69.9)  92 (54.8) 174 (73.1)  
 Stage III 2 (2.2) 30 (9.5)  11 (6.5) 21 (8.8)  
 Stage IV 1 (1.1) 1 (0.3)  1 (0.6) 1 (0.4)  

aSignificant at p < 0.05.

bExcluded mucinous carcinoma (n = 1), adenosquamous carcinomas (n = 2), and undifferentiated carcinomas (n = 4).

cExcluded cases with Tis.

Univariate Analysis

Table 4 shows the relationship between clinicopathologic factors and OS. DBDC patients with PTBHigh and ITBHigh had significantly shorter OS times than those with PTBLow and ITBLow (both p = 0.001; Fig. 2a, b). In addition, shorter OS was associated with DBDCs showing a larger size and sclerosing growth pattern (both p < 0.001), higher histologic grade (p = 0.006), extrapancreatic location (p = 0.015), adenocarcinomas unrelated to IPNB (p = 0.008), pancreatic and duodenal invasion (both p < 0.001), lymphovascular (p < 0.001) and perineural invasion (p = 0.003), cancer involvement of the bile duct resection margin (p < 0.001), nodal metastasis (p < 0.001), and higher T and N categories and disease stages (all p < 0.001). Patient age and sex did not affect OS.

Table 4.

Univariate analysis of patients with DBDC

VariableUnivariate analysis
median survival, monthsp value
PTBLow versus PTBHigh 75.6 versus 37.4 0.001a 
ITBLow versus ITBHigh 61.4 versus 34.8 0.001a 
Age, years 1.00 (0.99–1.02)b 0.599 
Tumor size, cm 1.23 (1.11–1.36)b <0.001a 
Sex, male versus female 39.1 versus 61.2 0.089 
Growth pattern  <0.001a 
 Papillary 107.0  
 Nodular -c  
 Sclerosing 36.3  
Tumor location  0.015a 
 Extrapancreatic 31.3  
 Intrapancreatic 42.5  
 Diffuse (both extra- and intrapancreatic) 46.1  
Histologic subtyped  0.008a 
 Tubular adenocarcinoma 39.8  
 Adenocarcinoma arising from IPNB 107.0  
Histologic differentiation  0.006a 
 Well to moderately differentiated 43.1  
 Poorly differentiated or undifferentiated 35.1  
Lymphovascular invasion, absent versus present 56.8 versus 35.1 <0.001a 
Perineural invasion, absent versus present 79.6 versus 38.1 0.003a 
Duodenal invasion, absent versus present 53.0 versus 27.5 <0.001a 
Pancreatic invasion, absent versus present 62.7 versus 32.3 <0.001a 
Gallbladder invasion, absent versus present 42.1 versus 35.1 0.064 
Cancer involvement of bile duct resection margin,  absent versus present 50.6 versus 20.7 <0.001a 
Nodal metastasis, absent versus present 75.6 versus 22.1 <0.001a 
T categorye  <0.001a 
 T1 75.6  
 T2 39.1  
 T3 22.6  
N category  <0.001a 
 N0 75.6  
 N1 23.2  
 N2 17.0  
Stage groupinge  <0.001a 
 I 107.0  
 II 36.3  
 III 17.0  
 IV 16.9  
VariableUnivariate analysis
median survival, monthsp value
PTBLow versus PTBHigh 75.6 versus 37.4 0.001a 
ITBLow versus ITBHigh 61.4 versus 34.8 0.001a 
Age, years 1.00 (0.99–1.02)b 0.599 
Tumor size, cm 1.23 (1.11–1.36)b <0.001a 
Sex, male versus female 39.1 versus 61.2 0.089 
Growth pattern  <0.001a 
 Papillary 107.0  
 Nodular -c  
 Sclerosing 36.3  
Tumor location  0.015a 
 Extrapancreatic 31.3  
 Intrapancreatic 42.5  
 Diffuse (both extra- and intrapancreatic) 46.1  
Histologic subtyped  0.008a 
 Tubular adenocarcinoma 39.8  
 Adenocarcinoma arising from IPNB 107.0  
Histologic differentiation  0.006a 
 Well to moderately differentiated 43.1  
 Poorly differentiated or undifferentiated 35.1  
Lymphovascular invasion, absent versus present 56.8 versus 35.1 <0.001a 
Perineural invasion, absent versus present 79.6 versus 38.1 0.003a 
Duodenal invasion, absent versus present 53.0 versus 27.5 <0.001a 
Pancreatic invasion, absent versus present 62.7 versus 32.3 <0.001a 
Gallbladder invasion, absent versus present 42.1 versus 35.1 0.064 
Cancer involvement of bile duct resection margin,  absent versus present 50.6 versus 20.7 <0.001a 
Nodal metastasis, absent versus present 75.6 versus 22.1 <0.001a 
T categorye  <0.001a 
 T1 75.6  
 T2 39.1  
 T3 22.6  
N category  <0.001a 
 N0 75.6  
 N1 23.2  
 N2 17.0  
Stage groupinge  <0.001a 
 I 107.0  
 II 36.3  
 III 17.0  
 IV 16.9  

aSignificant at p < 0.05.

bDisplay of the hazard ratio with 95% confidence interval.

cCould not be calculated because >50% of the patients were alive.

dExcluded mucinous carcinoma (n = 1), adenosquamous carcinomas (n = 2), and undifferentiated carcinomas (n = 4).

eExcluded cases with Tis and stage 0.

Fig. 2.

Survival analysis of PTB and ITB. DBDC patients with PTBHigh (a) and ITBHigh (b) had significantly shorter OS than those with PTBLow and ITBLow (both p = 0.001).

Fig. 2.

Survival analysis of PTB and ITB. DBDC patients with PTBHigh (a) and ITBHigh (b) had significantly shorter OS than those with PTBLow and ITBLow (both p = 0.001).

Close modal

Multivariate Analyses

We further evaluated the independent prognostic impact of PTBHigh and ITBHigh and other clinicopathologic factors considered significant by univariate analyses (Table 5). Since both PTBHigh and ITBHigh were types of TB, PTBHigh or ITBHigh was alternatively included and compared to other clinicopathologic factors. According to the multivariate analysis of PTB and clinicopathologic factors, PTBHigh (p = 0.040), larger tumor size (p < 0.001), sclerosing growth pattern (p = 0.011), duodenal invasion (p = 0.019), extrapancreatic tumor location (p = 0.002), involvement of the bile duct margin (p = 0.001), and higher staging group (p < 0.001) were poor independent prognostic predictors of OS in DBDC patients. When the prognostic significance of ITBHigh and clinicopathologic factors were independently analyzed, ITBHigh (p = 0.022), as well as larger tumor size (p = 0.002), sclerosing growth pattern (p = 0.016), extrapancreatic tumor location (p = 0.004), involvement of the bile duct margin (p = 0.005), and higher T and N categories (p = 0.021 and p < 0.001, respectively), remained poor independent prognostic indicators of OS in DBDC patients.

Table 5.

Multivariate analyses of patients with DBDC

VariableMultivariate analysis
HR (95% CI)p valueHR (95% CI)p value
PTBHigh 1.492 (1.019–2.186) 0.040a   
ITBHigh   1.406 (1.051–1.882) 0.022a 
Tumor size, cm 1.227 (1.097–1.373) <0.001a 1.194 (1.067–1.336) 0.002a 
Growth pattern  0.011a  0.016a 
 Papillary   
 Nodular 0.654 (0.366–1.823) 0.319 0.779 (0.343–1.769) 0.550 
 Sclerosing 1.243 (0.594–2.600) 0.564 1.459 (0.694–3.067) 0.319 
Tumor location  0.002a  0.004a 
 Extrapancreatic    
 Intrapancreatic 0.525 (0.359–0.767) <0.001a 0.558 (0.388–0.804) 0.002a 
 Diffuse (both extra- and intrapancreatic) 0.311 (0.144–0.671) 0.003a 0.366 (0.174–0.773) 0.008a 
Lymphovascular invasion 1.320 (0.995–1.751) 0.054   
Duodenal invasion 1.446 (1.062–1.968) 0.019a   
Cancer involvement of bile duct resection margin 1.833 (1.264–2.657) 0.001a 1.675 (1.165–2.408) 0.005a 
T categoryb    0.021a 
 T1    
 T2   1.191 (0.816–1.739) 0.365 
 T3   1.792 (1.150–2.791) 0.010 
N category    <0.001a 
 N0    
 N1   1.949 (1.424–2.666) <0.001 
 N2   3.121 (2.002–4.866) <0.001 
Stage groupingb  <0.001a   
 I    
 II 1.782 (1.167–2.722) 0.007   
 III 3.591 (2.016–6.395) <0.001   
 IV 2.826 (0.624–12.797) 0.178   
VariableMultivariate analysis
HR (95% CI)p valueHR (95% CI)p value
PTBHigh 1.492 (1.019–2.186) 0.040a   
ITBHigh   1.406 (1.051–1.882) 0.022a 
Tumor size, cm 1.227 (1.097–1.373) <0.001a 1.194 (1.067–1.336) 0.002a 
Growth pattern  0.011a  0.016a 
 Papillary   
 Nodular 0.654 (0.366–1.823) 0.319 0.779 (0.343–1.769) 0.550 
 Sclerosing 1.243 (0.594–2.600) 0.564 1.459 (0.694–3.067) 0.319 
Tumor location  0.002a  0.004a 
 Extrapancreatic    
 Intrapancreatic 0.525 (0.359–0.767) <0.001a 0.558 (0.388–0.804) 0.002a 
 Diffuse (both extra- and intrapancreatic) 0.311 (0.144–0.671) 0.003a 0.366 (0.174–0.773) 0.008a 
Lymphovascular invasion 1.320 (0.995–1.751) 0.054   
Duodenal invasion 1.446 (1.062–1.968) 0.019a   
Cancer involvement of bile duct resection margin 1.833 (1.264–2.657) 0.001a 1.675 (1.165–2.408) 0.005a 
T categoryb    0.021a 
 T1    
 T2   1.191 (0.816–1.739) 0.365 
 T3   1.792 (1.150–2.791) 0.010 
N category    <0.001a 
 N0    
 N1   1.949 (1.424–2.666) <0.001 
 N2   3.121 (2.002–4.866) <0.001 
Stage groupingb  <0.001a   
 I    
 II 1.782 (1.167–2.722) 0.007   
 III 3.591 (2.016–6.395) <0.001   
 IV 2.826 (0.624–12.797) 0.178   

HR, hazard ratio; CI, confidence interval.

aSignificant at p < 0.05.

bExcluded cases with Tis and stage 0.

Survival Analysis of PTB and ITB According to T and N Categories and Disease Stages

When the prognostic significance of PTB and ITB was analyzed depending on the T category (Fig. 3a–f), significant survival differences were observed only for ITB. In the T1 category (n = 125), the survival time of patients with ITBHigh (median, 59.9 months) was significantly shorter than those with ITBLow (107.0 months; p = 0.013). However, in the T2 (n = 201) and T3 categories (n = 80), there was no significant difference in survival time between patients with ITBHigh and ITBLow (37.9 vs. 41.9 months, p = 0.278 in T2; 20.7 vs. 24.6 months, p = 0.410 in T3). In contrast, no relationship between PTB and OS was seen in the T1 (61.3 vs. 107.0 months; p = 0.105) and T2 groups (38.1 vs. 56.8 months; p = 0.429). In the T3 group, there was a borderline significant difference in the survival time between patients with PTBHigh (21.2 months) and PTBLow (39.8 months; p = 0.054).

Fig. 3.

Survival analysis of TB based on T category. In the T1 category (a), ITBHigh significantly affected the patient survival time (p = 0.013). In the T2 (b) and T3 (c) categories, there was no significant difference in the survival time between patients with ITBHigh and ITBLow (p = 0.278 in T2; p = 0.410 in T3). No relationship between PTB and OS was seen in the T1 (d, p = 0.105) and T2 (e, p = 0.429) groups. In the T3 group (f), there was a borderline significant difference in the survival time between the patients with PTBHigh and those with PTBLow (p = 0.054).

Fig. 3.

Survival analysis of TB based on T category. In the T1 category (a), ITBHigh significantly affected the patient survival time (p = 0.013). In the T2 (b) and T3 (c) categories, there was no significant difference in the survival time between patients with ITBHigh and ITBLow (p = 0.278 in T2; p = 0.410 in T3). No relationship between PTB and OS was seen in the T1 (d, p = 0.105) and T2 (e, p = 0.429) groups. In the T3 group (f), there was a borderline significant difference in the survival time between the patients with PTBHigh and those with PTBLow (p = 0.054).

Close modal

We also compared patient survival based on the N category (Fig. 4a–f). In DBDCs with N0 category (n = 265), patients with ITBHigh (median, 50.3 months) had significantly shorter survival times than those with ITBLow (107.0 months; p = 0.001). However, ITB was not related to survival in patients with tumors in the N1 (n = 112) and N2 categories (n = 33) (20.8 months in ITBHigh and 33.1 months in ITBLow, p = 0.460 in N1) (17.9 months in ITBHigh and 15.7 months in ITBLow, p = 0.318 in N2). Similarly, patients with DBDCs in the N0 category with PTBHigh (55.7 months) had shorter survival times than those with PTBLow (79.6 months; p = 0.041). In contrast, no significant difference was seen in the survival time between patients with PTBHigh and PTBLow in the N1 (22.6 months vs. 33.1 months; p = 0.479) and N2 categories (17.0 months vs. 11.5 months; p = 0.931).

Fig. 4.

Survival analysis of TB based on N category. In the N0 category (a), the patients with ITBHigh had significantly shorter survival times than those with ITBLow (p = 0.001). ITB was not related to patient survival in tumors with N1 (b, p = 0.460) and N2 (c, p = 0.318) categories. Similarly, in DBDCs in the N0 category (d), patients with PTBHigh had shorter survival times than those with PTBLow (p = 0.041). No significant difference was seen in the survival time between patients with PTBHigh and those with PTBLow in the N1 (e, p = 0.479) and N2 (f, p = 0.931) tumor categories.

Fig. 4.

Survival analysis of TB based on N category. In the N0 category (a), the patients with ITBHigh had significantly shorter survival times than those with ITBLow (p = 0.001). ITB was not related to patient survival in tumors with N1 (b, p = 0.460) and N2 (c, p = 0.318) categories. Similarly, in DBDCs in the N0 category (d), patients with PTBHigh had shorter survival times than those with PTBLow (p = 0.041). No significant difference was seen in the survival time between patients with PTBHigh and those with PTBLow in the N1 (e, p = 0.479) and N2 (f, p = 0.931) tumor categories.

Close modal

In terms of disease stages, significant survival differences were observed only in ITB (Fig. 5a–d). In stage I (n = 106), patients with ITBHigh had shorter survival times (median, 61.3 months) than those with ITBLow (107.0 months; p = 0.025). ITB was not associated with patient survival in each disease stage, II (n = 266), III (n = 32), and IV (n = 2) (p = 0.189, 0.295, and 0.317, respectively). For PTB (Fig. 6a–d), the survival time of patients with stage I DBDC and PTBHigh tended to be shorter than those with PTBLow, but it was not statistically significant (107.0 vs. 78.8 months; p = 0.297). Disease stages II, III, and IV in patients with PTB were not associated with survival (p = 0.327, 0.945, and 0.317, respectively). All DBDCs in stage I were T1N0.

Fig. 5.

Survival analysis of ITB based on the disease stage. In stage I (a, all T1N0), patients with ITBHigh had shorter survival times than those with ITBLow (p = 0.025). In disease stages II (b), III (c), and IV (d), ITB was not associated with patient survival (p = 0.189, 0.295, and 0.317, respectively).

Fig. 5.

Survival analysis of ITB based on the disease stage. In stage I (a, all T1N0), patients with ITBHigh had shorter survival times than those with ITBLow (p = 0.025). In disease stages II (b), III (c), and IV (d), ITB was not associated with patient survival (p = 0.189, 0.295, and 0.317, respectively).

Close modal
Fig. 6.

Survival analysis of PTB based on the disease stage. Stage I DBDC patients with PTBHigh tended to have shorter survival times than those with PTBLow, but it was not statistically significant (a, p = 0.297). In each disease stage II (b), III (c), and IV (d), PTB was not associated with patient survival (p = 0.327, 0.945, and 0.317, respectively).

Fig. 6.

Survival analysis of PTB based on the disease stage. Stage I DBDC patients with PTBHigh tended to have shorter survival times than those with PTBLow, but it was not statistically significant (a, p = 0.297). In each disease stage II (b), III (c), and IV (d), PTB was not associated with patient survival (p = 0.327, 0.945, and 0.317, respectively).

Close modal

Survival Analysis of the Combined PTB and ITB

We analyzed the survival data based on the combination of PTB and ITB levels (online suppl. Table 1; for all online suppl. material, see https://doi.org/10.1159/000535847). When categorized into 4 subgroups of PTBLow/ITBLow, PTBHigh/ITBLow, PTBLow/ITBHigh, and PTBHigh/ITBHigh, the combined variable significantly stratified patient survival (p = 0.002). Patients with PTBLow/ITBLow (90 cases, 22.0%) had a median OS time of 75.6 months, whereas those with PTBHigh/ITBHigh (234, 57.0%) had shorter median OS time of 35.1 months with an almost 2-fold increased risk of death. Patients with PTBHigh/ITBLow (82, 20.0%) and PTBLow/ITBHigh (4, 1.0%) had median survival times of 48.2 and 29.9 months, respectively.

In further analysis, we combined PTBHigh/ITBLow and PTBLow/ITBHigh together to categorize cases into 3 groups: PTBLow/ITBLow (90 cases, 22.0%), either PTBHigh or ITBHigh (86, 21.0%), and PTBHigh/ITBHigh (234, 57.0%). Patient survival rates were significantly associated with the 3 PTB/ITB groups with the median OS times of 75.6, 41.9, and 35.1 months in PTBLow/ITBLow, either PTBHigh or ITBHigh, and PTBHigh/ITBHigh, respectively (p = 0.001). When the prognostic significance of these 3 PTB/ITB groups was analyzed based on the disease stage, there were no significant differences in survival (p = 0.116 in stage I; p = 0.431 in stage II; p = 0.419 in stage III; p = 0.317 in stage IV).

The present study investigated ITB and PTB in a large number of patients (n = 410) and found strong prognostic predictability. Most previous studies of PTB in BDCs included intrahepatic BDCs and/or PBDCs without the specific discrimination of DBDC groups (Table 1) [11‒17]. All analyses were performed in hematoxylin and eosin-stained whole tissue specimens with applied cut-offs for PTBHigh in G2 and more on the basis of ITBCC 2016 [11‒17], which was identical to our study. Among those studies, only Nakayama et al. [11] and Ogino et al. [12] analyzed the prognostic significance of PTBHigh in DBDC cases (<120 cases) according to the 8th TNM classification. The overall prevalence of PTBHigh in these two DBDC studies was 81% (145/180), all of which had significant correlations with the OS. Similarly, we found PTBHigh in 77% (316/410) in our DBDC cohort and revealed its predictability for OS. Ogino et al. [12] demonstrated an association between PTBHigh and aggressive pathologic features, such as advanced T category, poor histologic differentiation, lymphovascular and perineural invasion, and nodal metastasis, but they did not describe its association with the staging group [12]. Consistent with our present study, Nakayama and colleagues found that PTBHigh was correlated with higher T and N categories and the staging group, higher tumor grade, lymphovascular and perineural invasion, and nodal metastasis [11]. In the present study, we newly found that PTBHigh was more commonly present in DBDCs unrelated to IPNB and tumors showing sclerosing growth patterns and pancreatic invasion. More importantly, we found that ITBHigh, like PTBHigh, was also strongly associated with aggressive pathologic factors and poor prognosis in DBDC. Therefore, we proposed ITB as a surrogate prognostic indicator for DBDC patients, comparable to PTB. Interestingly, ITBHigh correlated with the duodenal invasion of DBDC.

No standardized methodologies or cut-offs for defining high-grade ITB existed. Nevertheless, accumulating evidence indicated that the assessment of ITB could have prognostic utility across several different tumor types, such as carcinomas of the colorectum, tongue and oral floor, and head and neck [4, 7, 8, 21–23]. In this present study, we constructed a cut-off value for ITB to maximize the sensitivity and specificity in predicting the OS, and ITBHigh was finally defined as G3. The sensitivity was 65% and the specificity was 51% at an ITB cut-off of G3. Although ITB had poor accuracy in discriminating patient survival with an area under the curve (AUC) of only 0.58 in DBDCs, ITBHigh significantly predicted aggressive tumor behavior and worse OS. When using an ITB cut-off of G2, the sensitivity increased to 76%, but the specificity dropped to 37%. However, even when analyzed with the ITB G2 cut-off value, the predictive value for OS was still significant (p = 0.003, data not shown). Therefore, the prognostic impact of ITB was consistently valuable in DBDC, regardless of the high-level definition used.

In DBDCs, preoperative assessment of the T category was clinically difficult because tumor invasion depth is measured on postoperative histology. Although the stage of disease at DBDC presentation is known to be the most important prognostic factor [1], it is ironic that the disease stage cannot be evaluated at the time of diagnosis. Previous studies reported that ITB in CRC biopsies helped predict high-risk features indicative of poor prognosis prior to surgery [7, 8]. Zlobec et. al [7] investigated the prognostic value of ITB in preoperative biopsies of CRC patients with no neoadjuvant therapy: ITBHigh, defined as more than 10 buds, consistent with our definition, predicted nodal and distant metastases. Rogers et. al evaluated the association of ITB in pretreatment rectal cancer biopsies with response to neoadjuvant chemoradiotherapy: ITB at the diagnosis of rectal cancer helped identify patients who would respond poorly to neoadjuvant chemoradiotherapy and those with a poor prognosis [8]. In this study, we found the prognostic utility of ITB in the T1 and/or N0 groups. Therefore, we postulated that ITB might preoperatively aid in predicting the prognosis, especially in early-stage DBDCs. However, our results had the limitation of being a retrospective study using resected specimens. Therefore, further multi-institutional studies using preoperative DBDC biopsy specimens are needed to obtain the robust prognostic utility of ITB in DBDCs.

In conclusion, high-grade buddings, in both PTB and ITB, were powerful predictive parameters for aggressive behavior and worse prognosis in patients with DBDC. ITB might be used as a surrogate marker in DBDC where PTB is difficult to assess. Specifically, in patients with stage I DBDCs, ITB can be an aid used to select high-risk features indicative of poor patient prognosis.

This work was presented in part at the European Society for Medical Oncology (ESMO) Congress 2023, Madrid, Spain, October 20th–24th, 2023.

This study protocol was reviewed and approved by the Institutional Review Board from two institutions (OC13SISI0162 from Incheon St. Mary’s Hospital and 2013-0527 from Asan Medical Center). The retrospective study has been granted an exemption from requiring written informed consent, which was approved by the Institutional Review Board from two institutions.

The authors have no conflicts of interest to declare.

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2021R1A2C1003898, awarded to Sun-Young Jun) and by a Grant of Translational R&D Project through the Institute for Bio-Medical Convergence, Incheon St. Mary’s Hospital, the Catholic University of Korea (awarded to Sun-Young Jun). The sponsor of the study did not have any role in the study design or collection, analysis, and interpretation of data.

Sun-Young Jun conceived and designed the project, provided funding support, and wrote the manuscript. Sun-Young Jun and Seung-Mo Hong performed pathologic analysis, data collection, and database development. Soyeon An performed statistical analysis and data visualization. All the authors contributed to manuscript editing.

The data that support the findings of this study are not publicly available due to their containing information that could compromise the privacy of research participants but are available from the corresponding author upon reasonable request. Further inquiries can be directed to the corresponding author.

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