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Small duct and large duct type intrahepatic cholangiocarcinoma reveal distinct patterns of immune signatures

  • Open Access
  • 01.07.2024
  • Research
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Abstract

Purpose

Dedicated gene signatures in small (SD-iCCA) and large (LD-iCCA) duct type intrahepatic cholangiocarcinoma remain unknown. We performed immune profiling in SD- and LD-iCCA to identify novel biomarker candidates for personalized medicine.

Methods

Retrospectively, 19 iCCA patients with either SD-iCCA (n = 10, median age, 63.1 years (45–86); men, 4) or LD-iCCA (n = 9, median age, 69.7 years (62–85); men, 5)) were included. All patients were diagnosed and histologically confirmed between 04/2009 and 01/2021. Tumor tissue samples were processed for differential expression profiling using NanoString nCounter® PanCancer Immune Profiling Panel.

Results

With the exception of complement signatures, immune-related pathways were broadly downregulated in SD-iCCA vs. LD-iCCA. A total of 20 immune-related genes were strongly downregulated in SD-iCCA with DMBT1 (log2fc = -5.39, p = 0.01) and CEACAM6 (log2fc = -6.38, p = 0.01) showing the strongest downregulation. Among 7 strongly (log2fc > 2, p ≤ 0.02) upregulated genes, CRP (log2fc = 5.06, p = 0.02) ranked first, and four others were associated with complement (C5, C4BPA, C8A, C8B). Total tumor-infiltrating lymphocytes (TIL) signature was decreased in SD-iCCA with elevated ratios of exhausted-CD8/TILs, NK/TILs, and cytotoxic cells/TILs while having decreased ratios of B-cells/TILs, mast cells/TILs and dendritic cells/TILs. The immune profiling signatures in SD-iCCA revealed downregulation in chemokine signaling pathways inclulding JAK2/3 and ERK1/2 as well as nearly all cytokine-cytokine receptor interaction pathways with the exception of the CXCL1/CXCR1-axis.

Conclusion

Immune patterns differed in SD-iCCA versus LD-iCCA. We identified potential biomarker candidate genes, including CRP, CEACAM6, DMBT1, and various complement factors that could be explored for augmented diagnostics and treatment decision-making.

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1007/s00432-024-05888-y.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
BiIIN
Biliary intraepithelial neoplasia
CCA
Cholangiocarcinoma
CEACAM6
Carcinoembryonic antigen-related cellular adhesion molecule 6
DMBT1
Deleted in malignant brain tumor 1
FFPE
Formalin-fixed paraffin-embedded
HE
Hematoxylin and eosin
iCCA
Intrahepatic cholangiocarcinoma
LD-iCCA
Large duct type intrahepatic cholangiocarcinoma
UCT
University Cancer Center Frankfurt
UICC
Union for International Cancer Control
SD-iCCA
Small duct type intrahepatic cholangiocarcinoma
TIL
Tumor-infiltrating lymphocytes
TME
Tumor microenvironment

Introduction

Cholangiocarcinoma (CCA) is a highly heterogeneous malignancy originating from the intrahepatic biliary epithelium (iCCA) or from extrahepatic bile ducts (eCCA). Patients with CCA have a poor prognosis and the incidence of iCCA is rising globally, accounting for about 10–15% of primary liver cancers (Bertuccio et al. 2013; Bridgewater et al. 2014). With surgical resection being the sole curative treatment option, the prognosis for iCCA patients remains unfavorable (Groot Koerkamp and Fong 2014). The new standard of care in the palliative setting is the combination of chemotherapy with gemcitabine and cisplatin and the immune checkpoint inhibitors durvalumab or pembrolizumab, leading to a median overall survival of 12.8 and 12.7 months, respectively (Oh et al. 2022; Kelley et al. 2023).
In recent years, histopathological characterization of iCCA revealed two distinct subtypes according to the size of the affected bile duct, which led to implementation in the WHO classification (WHO Classification of Tumours 2019, 5th ed. Vol. 1. Digestive System Tumours, 2019. [Online]. Available: https://publications.iarc.fr/ Book-And-Report-Series/ Who-Classification-Of- Tumours/Digestive-System-Tumours-2019.'; Kendall et al. 2019; Aishima and Oda 2015). On the one hand, small duct type iCCA (SD-iCCA) was found to be more peripheral in the liver and resembling a ductular and cholangiolar type (Liau et al. 2014; Chung and Park 2022). On the other hand, the large duct type (LD-iCCA) arises from large intrahepatic ducts closer to the liver hilum and contains mainly mucin-producing columnar tumor cells (Hayashi et al. 2016; Sigel et al. 2018; Chung and Park 2022). Remarkably, both subtypes differ in underlying diseases, survival, response to chemotherapy, and molecular alterations, emphasizing clinically relevant subtype heterogeneity (Kinzler et al. 2022; Aishima and Oda 2015; Chung et al. 2020; Kendall et al. 2019; Gerber et al. 2022).
Immunotherapy emerged in the last decade and revolutionized treatments and outcomes across multiple cancer entities, including CCA (Pan et al. 2020; Greten et al. 2023; Fiste et al. 2021). Although the results of the TOPAZ-1 and KEYNOTE-966 trial have opened new perspectives for palliative CCA patients (Oh et al. 2022; Kelley et al. 2023), immunotherapeutic approaches in the management of iCCA patients remain challenging as the immunosuppressive tumor microenvironment (TME) plays a pivotal role in iCCA progression and, thereby, potential response to immunotherapeutic agents (Greten et al. 2023; Banales et al. 2020). The highly reactive TME comprises a variety of immune cells, including cancer-associated fibroblasts, tumor-associated macrophages, endothelial cells, and lymphocytes (Xia et al. 2022b; Job et al. 2020; Banales et al. 2020), but detailed characteristics are lacking. Here, improved characterization of the immune landscape in iCCA holds substantial clinical potential, both for predicting response to immunotherapy and for identifying novel treatment strategies. A few preliminary studies investigated immune signatures as predictive biomarkers in iCCA (Xia et al. 2022b; Yoon et al. 2021; Konishi et al. 2022; Yugawa et al. 2021; Jing et al. 2019). However, differences in immune signatures between SD- and LD-iCCA remain unknown, and exploratory studies are lacking so far.
We hypothesized that the heterogeneity of iCCA subtypes is reflected in their immune patterns and that these differences could hold a significant potential for diagnostic and therapeutic personalized medicine.

Materials and methods

Patient cohort

All patients treated with surgically resected (R0, R1) intrahepatic cholangiocarcinoma at Frankfurt University Hospital between December 2005 and December 2021 were retrospectively screened. Clinical data (sex, date of birth, tumor stage, tumor size, laboratory parameters, and comorbidities) were collected from electronic medical records. iCCA were staged according to the 8th edition of the classification of the Union for International Cancer Control (UICC). Tissue samples used in this study were provided by the University Cancer Center Frankfurt (UCT). Written informed consent was obtained from all patients at the time of initial surgery, or written informed consent was waived if the patient was deceased. The study was approved by the institutional Review Boards of the UCT and the Ethical Committee at the University Hospital Frankfurt (project-number: SGI-1-2021, SGI-3-2021).

Study design

Hematoxylin and eosin (HE) slides and formalin-fixed paraffin-embedded (FFPE) tissue were retrieved from the archive of the Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt. According to the WHO Classification of Tumours, Digestive System Tumours, 5th edition, Volume 1 ('WHO Classification of Tumours 2019, 5th ed. Vol. 1. Digestive System Tumours, 2019. [Online]. Available: https://publications.iarc.fr/ Book-And-Report-Series/ Who-Classification-Of- Tumours/Digestive-System-Tumours-2019.'), all samples examined in the present study were recently analyzed both histomorphologically and immunohistochemically by an expert hepatobiliary pathologist and assigned to the respective subtype in our previously published work (Kinzler et al. 2022). Retrospectively, 20 iCCA-patients (n = 10, SD-iCCA and n = 10, LD-iCCA) who were diagnosed between 04/2009 and 01/2021, were included in the present study. Inclusion criteria: (1) Histologically confirmed treatment-naïve SD-iCCA or LD-iCCA. Exclusion criteria: (1) insufficient tissue sample / RNA -/ or NanoString® quality or quantity. To gain equal distribution of SD- and LD-iCCA in our study, the number of included SD-iCCA samples was adjusted to the less frequent LD-iCCA type. Figure 1 depicts the flowchart of patient inclusion according to Standards for Reporting Diagnostic Accuracy Studies (STARD).
Fig. 1
STARD Flowchart of patient inclusion into the study. STARD Standards for Reporting Diagnostic Accuracy Studies
Bild vergrößern

Ribonucleic acid (RNA) isolation and immune profiling analysis

Representative tumor material was punched out of FFPE blocks using a 1 mm core needle. RNA was isolated using the truXTRAC FFPE total NA Kit (Covaris, Woburn, MA, USA) based on focused ultrasonification and column purification according to the manufacturer's instructions. NanoString nCounter® Platform and PanCancer Immune Profiling Panel were used to enrich a commercially available function specific panel of 770 genes by hybrid capture technique (NanoString®, Seattle, WA, USA) as previously published (Kinzler et al. 2023). NanoString nSolver™ software v4 and implemented nCounter® Advanced Analysis module v2.0.134 were used for subsequent raw data processing and normalization by internal controls following differential supervised analysis of SD-iCCA (n = 10) versus baseline of LD-iCCA (n = 9). Quality control was done with default settings as previously described (Preusse et al. 2021). One sample (LD-iCCA) was flagged in quality control as the percentage of successfully scanned fields of view in its cartridge lane was below the threshold of 75%, and we excluded this sample for further analysis. Gene expression of LD-iCCA was set as baseline for the comparative analysis. For pathway analysis of differentially expressed genes, Enrichr (Chen et al. 2013; Kuleshov et al. 2016) was used for functional enrichment analysis for Gene Ontology to identify gene-sets for biological processes. For further differential expression analysis, we used the following cut-offs: log2 fold change < -2 or > 2 and p-Value ≤ 0.05 after Benjamini-Hochberg (BH) correction. T-distributed stochastic neighbor embedding (t-SNE) analysis and plots were performed in Python 3.7.6.

Statistical analysis

We compared baseline clinicopathological characteristics between patients with SD- and LD-iCCA. For statistical analysis, two-sided Students t-test was used for continuous variables and Likelihood Ratio for nominal / ordinal data.

Results

Study population

In total, 19 patients with iCCA were included in this study. Ten patients with SD-iCCA (median age, 63.1 years (45–86); men, 4) and nine patients with LD-iCCA (median age, 69.7 years (62–85); men, 5) were analyzed. The groups did not differ in clinicopathological characteristics including tumor size, the occurrence of multiple tumors, UICC stadium, performance status or selected laboratory values like CA-19/9, bilirubin, or lactate dehydrogenase (Table 1). Interestingly, patients with LD-iCCA were more likely to have hepatolithiasis (p = 0.049). However, patients with SD- and LD-iCCA did not differ in any other common risk factors including viral hepatitis, primary sclerosing cholangitis or liver cirrhosis. Further clinical characteristics are depicted in Table 1.
Table 1
Clinical and epidemiological characteristics
Characteristics
SD-iCCA (n = 10), No. (%)
LD-iCCA (n = 9), No. (%)
p-value
Sex
  
0.525
 Female
6 (60)
4 (44.4)
 
 Male
4 (40)
5 (55.6)
 
Age at initial diagnosis
  
0.172
 Mean, years, (range)
63.1 (45–86)
69.7 (62–85)
 
UICC
  
0.695
 1a
1 (10)
2 (22.2)
 
 1b
3 (30)
2 (22.2)
 
 2
3 (30)
1 (11.1)
 
 3a
1 (10)
0 (0)
 
 3b
2 (20)
3 (33.3)
 
 4
0 (0)
1 (11.1)
 
ECOG
  
0.72
 0
7 (70)
7 (77.8)
 
 1
3 (30)
2 (22.2)
 
CA-19/9 (ng/ml)
  
1
  < 37
5 (50)
4 (44.4)
 
  ≥ 37
5 (50)
4 (44.4)
 
 n.a.
0 (0)
1 (11.1)
 
Tumor size (cm)
  
0.541
  ≤ 5
3 (30)
4 (44.4)
 
  > 5
7 (70)
5 (55.6)
 
Single Tumor
  
0.106
 Yes
4 (40)
7 (77.8)
 
 No
6 (60)
2 (22.2)
 
Pathological grade
  
0.912
 Grade 2
8 (80)
7 (77.8)
 
 Grade 3
2 (20)
2 (22.2)
 
R status
  
0.121
 R0
8 (80)
4 (44.4)
 
 R1
2 (20)
5 (55.6)
 
L status
  
0.183
 L0
9 (90)
5 (55.6)
 
 L1
1 (10)
3 (33.3)
 
 Lx
0 (0)
1 (11.1)
 
Pn status
  
0.104
 Pn0
7 (70)
3 (33.3)
 
 Pn1
2 (20)
5 (55.6)
 
 Pnx
1 (10)
1 (11.1)
 
Recurrence
  
0.285
 Yes
3 (30)
5 (55.6)
 
 No
7 (70)
4 (44.4)
 
Hepatolithiasis
  
0.049
 Yes
0 (0)
3 (33.3)
 
 No
10 (100)
6 (66.7)
 
Viral hepatitis
  
0.305
 Yes
0 (0)
1 (11.1)
 
 No
10 (100)
8 (88.9)
 
PSC
  
0.357
 Yes
1 (10)
0 (0)
 
 No
9 (90)
9 (100)
 
Diabetes
  
0.884
 Yes
3 (30)
3 (33.3)
 
 No
7 (70)
6 (66.7)
 
Liver cirrhosis
  
0.305
 Yes
0 (0)
1 (11.1)
 
 No
10 (100)
8 (88.9)
 
LDH
   
  < 248
5 (50)
4 (44.4)
0.953
  ≥ 248
4 (40)
3 (33.3)
 
n.a.
1 (10)
2 (22.2)
 
Bilirubin
  
0.063
  < 1.4
9 (90)
6 (66.7)
 
  ≥ 1.4
0 (0)
3 (33.3)
 
 n.a.
1 (10)
0 (0)
 
For statistical analysis, two-sided Students t-test was used for continuous variables and Likelihood Ratio for nominal / ordinal data. Data is shown as absolute numbers (%) or median (min–max)
CA-19/9 carbohydrate antigen 19-9, ECOG Eastern Cooperative Oncology Group, LDH lactate dehydrogenase, LD-iCCA large duct type intrahepatic cholangiocarcinoma, n.a. not available, UICC Union for International Cancer Control, SD-iCCA small duct type intrahepatic cholangiocarcinoma

Immune-pathway scores were downregulated in SD-iCCA with the exception of complement signatures

To explore if patients with SD- and LD-iCCA differed in their immune cell signatures, we first performed unsupervised T-SNE analysis and found a clear separation into two groups (Fig. 2a). Next, we used pathway score analyses of the functionally annotated genes to explore distinct patterns. Here we found that the majority of pathways in patients with SD-iCCA were downregulated, especially pathways associated with regulation, cell function and adhesion, with the exception of complement signatures that were upregulated (Fig. 2b,c).
Fig. 2
Dominant downregulation in immune pathway scores in small-duct type intrahepatic cholangiocarcinoma. a T-SNE plot of comprehensive log2 normalized mRNA patient data, b trend plot of pathway signatures using NanoString® pathway score analysis tool and c boxplots of the top 4 differentially expressed pathway score signatures
Bild vergrößern

SD- and LD-iCCA revealed strongly differentially regulated candidate genes

Small- and large-duct type iCCA showed strong differences in the expression of immune-related genes (Fig. 3a). In total, 27 genes were strongly differentially expressed (log2fc > 2 or log2fc < -2, BH-p < 0.05) as depicted in Fig. 3b. CRP showed the strongest upregulation (log2fc = 5.06, p = 0.02, 95% CI [2.47–7.66]) in SD-iCCA. 57% (4/7) of the 7 upregulated genes in SD-iCCA were associated with complement, namely C5 (log2fc = 3.80, p = 0.003, 95% CI [2.67–4.93]), C4BPA (log2fc = 3.67, p = 0.01, 95% CI [2.18–5.17]), C8A (log2fc = 3.36, p = 0.02, 95% CI [1.71–5.00]), C8B (log2fc = 3.2, p = 0.01, 95% CI [1.81–4.59]). Most genes were strongly downregulated in SD-iCCA versus LD-iCCA, and the strongest downregulation was seen in carcinoembryonic antigen-related cellular adhesion molecule 6 (CEACAM6) (log2fc = – 6.38, p = 0.01, 95% CI [– 9.14 to – 3.62]), deleted in malignant brain tumor 1 (DMBT1) (log2fc = – 5.39, p = 0.01, 95% CI [– 7.88 to – 2.89]) and CD79A (log2fc = – 3.61, p = 0.01, 95% CI [– 5.18 to – 2.04]). See Table 2.
Fig. 3
Differentially expressed genes between intrahepatic cholangiocarcinoma subtypes. a Volcano plot of all differentially expressed genes and only b strong and significantly (log2fc < -2 or > 2 and p-value < 0.05 with Benjamini–Hochberg correction)
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Table 2
Strongly differentially expressed genes in SD-iCCA vs. LD-iCCA
 
Log2fc
95% CI
p-value
BH p-value
Gene sets
CRP
5.06
2.47/7.66
0.001
0.024
Transporter functions
C5
3.80
2.67/4.93
 < 0.001
0.003
Complement
C4BPA
3.67
2.18/5.17
 < 0.001
0.011
Complement
SAA1
3.67
2.06/5.28
 < 0.001
0.012
 
LBP
3.51
2.07/4.95
 < 0.001
0.011
Macrophage functions
C8A
3.36
1.71/5.00
0.001
0.020
Complement
C8B
3.20
1.81/4.59
 < 0.001
0.012
Complement
SLC11A1
– 2.12
– 3.26/– 0.98
0.002
0.027
Macrophage functions
DUSP4
– 2.19
– 3.12/– 1.26
 < 0.001
0.012
 
TNFRSF11A
– 2.23
– 2.95/– 1.50
 < 0.001
0.003
TNF superfamily
IL1RN
– 2.23
– 3.58/– 0.872
0.005
0.048
Cytokines, Interleukins
POU2AF1
– 2.26
– 3.25/– 1.26
 < 0.001
0.013
 
CD79B
– 2.38
– 3.62/– 1.14
0.002
0.024
B-cell functions
TNFRSF13C
– 2.40
– 3.82/– 0.966
0.005
0.047
Regulation, TNF superfamily
PTGS2
– 2.53
– 3.79/– 1.27
0.001
0.022
Cytokines
SMPD3
– 2.55
– 3.62/– 1.48
 < 0.001
0.012
Cell functions
LCN2
– 2.63
– 3.88/– 1.38
0.001
0.017
 
CD19
– 2.65
– 4.08/– 1.22
0.002
0.028
B-cell functions, Regulation
CEACAM1
– 2.76
– 4.02/– 1.49
0.001
0.014
Adhesion
OSM
– 2.79
– 4.01/– 1.58
 < 0.001
0.012
Cell functions
PPARG
– 2.89
– 3.84/– 1.94
 < 0.001
0.003
 
IL11
– 2.96
– 4.7/– 1.23
0.004
0.040
B-cell functions, cytokines, interleukins, T-cell functions
LTF
– 2.98
– 4.19/– 1.76
 < 0.001
0.011
 
IL1B
– 3.01
– 4.49/– 1.54
0.001
0.020
Chemokines, Cytokines, Interleukins, Pathogen Defense, Regulation
CD79A
– 3.61
– 5.18/– 2.04
 < 0.001
0.012
 
DMBT1
– 5.39
– 7.88/– 2.89
0.001
0.014
 
CEACAM6
-6.38
-9.14 / -3.62
 < 0.001
0.012
Adhesion
'Estimated log fold-change' estimates a gene's differential expression. For each gene, a single linear regression was fit with all selected covariates for prediction of expression to eliminate measured confounding and isolate the independent associations. The log2 fold change is presented, along with a p-value, an adjusted p-value or FDR (BH correction) and the 95% CI
BH Benjamini–Hochberg, FDR false discovery rate

Cell type profiling signatures revealed two immune type subsets

Total TILs and the absolute amount of the vast majority of cell type profiles were reduced in SD-iCCA (Fig. 4a). The relative cell type to TIL profile ratios revealed the most prominent decreases in B cells/TILs, mast cells/TILs and dendritic cells(DC)/TILs (Fig. 4b,c). Increased relative cell type profile ratios were revealed for exhausted CD8/TILs, cytotoxic cells/TILs and NK cells/TILs (Fig. 4b, d).
Fig. 4
Cell type profiling revealed decreased immune infiltrates in SD-iCCA. Cell population abundance was measured based on characteristically expressed genes. The cell type abundance measurements are plotted against the tumor subtypes. a Total cell type scores and b the relative cell type scores. c, d Top differentially expressed cell type scores relative to total TILs c with downregulation in small-duct type iCCA or d upregulation in SD-iCCA
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Gene ontology term enrichment analysis

Applying Enrichr gene ontology term enrichment on the whole differentially expressed dataset, the biological processes were mostly related to a downregulation in the subtotal cytokine-cytokine receptor interaction signatures (Suppl. Fig. 1). Only the CX3CL1/CX3CR1-axis of the CX3C subfamily and TGF-beta2 were upregulated in SD-iCCA (Suppl. Fig. 1). Also, chemokine signaling pathways were downregulated in SD-iCCA, a.o. JAK2/3, PI3K, ERK1/2 and PKC (Suppl. Fig. 2).

Discussion

By applying NanoString® technology, we exploratorily identified substantial differences in the local immune patterns of patient with SD- and LD-iCCA, including signatures of inflammation and immune response. By analyzing treatment-naïve tumor samples, our results suggest that the immune signatures are an intrinsic trait of the tumor types. Further, we corroborated our results by performing a multitude of complementary NanoString® technology analysis like pathway scoring, gene set enrichment analysis, differential expression analysis and cell type profiling to create a holistic model of the immune signatures in both iCCA subtypes. Considering the rapid emergence of immune-oncology diagnostics and treatment, our results provide insights and give evidence which can be used for biomarker discovery and to inform future studies with therapeutic intend before clinical translation.
Our data indicate that immune-related pathways are broadly downregulated in SD-iCCA, with the exception of complement signatures. Among 27 strongly differently expressed genes, 20 were downregulated in SD-iCCA with CEACAM6, DMBT1 and CD79A showing the strongest effect. From the 7 upregulated genes, CRP showed the highest differential expression and the complement factors C5, C4BPA, C8A and C8B comprised 57% of the upregulated genes. Remarkably, total TIL signatures were reduced in SD-iCCA. Cell type signatures differed in both iCCA subtypes and chemokine as well as cytokine-cytokine receptor interaction pathways were broadly downregulated in SD-iCCA.
In recent years, the nihilistic approach to the treatment of iCCA has been replaced by new therapies in the field of molecular and immunotherapeutic regimens. However, the heterogeneity of both iCCA subtypes and the lack of predictive biomarkers remain a major challenge in determining which patient subgroup will benefit from immunotherapy in order to provide stratified medicine. In addition to the known heterogeneity of SD- and LD-iCCA in terms of survival, response to chemotherapy, and molecular alterations, this study is the first to address differences in immune patterns. Our data demonstrate a downregulation of DMBT1 in SD-iCCA compared to LD-iCCA. DMBT1 is a mucin-like molecule that exerts functions in the regulation of epithelial differentiation and inflammation participating in mucosal immune defense (Mollenhauer et al. 2000; Bathum Nexoe et al. 2020). So far, only two studies investigated the role of DMBT1 in iCCA. Goeppert and colleagues did not observe differences in DMBT1 expression in iCCA compared to normal biliary tissue while they identified a significant decrease of DMBT1 expression in iCCA compared to biliary intraepithelial neoplasia (BilIN) 3 suggesting a tumor suppressing role of DMBT1 in early cholangiocarcinogenesis (Goeppert et al. 2017). In line, Sasaki et al. demonstrate a decreased expression of DMBT1 in tissue of invasive iCCA compared to intraductal papillary neoplasms (Sasaki et al. 2003). Against this background, one would rather suspect DMBT1 downregulation in LD-iCCA as this subtype is commonly associated with impaired survival and a more aggressive tumor biology (Kinzler et al. 2022). However, lack of DMBT1 expression in non-neoplastic biliary tissue of CCA patients was associated with poor survival while no significant impact on outcome was observed when DMBT1 expression was reduced in cancer cells (Goeppert et al. 2017). Interestingly, overexpression of DMBT1 was shown in primary sclerosing cholangitis as well as in hepatolithiasis (Bisgaard et al. 2002; Sasaki et al. 2003), two common risk factors for the occurrence of LD-iCCA (Aishima and Oda 2015). This may explain the upregulation of DMBT1 in LD-iCCA as hepatolithiasis was significantly more present in in this cohort in our study. It should be noted that both studies did not differentiate between iCCA subtypes, which may hinder comparability to our data. Further, we found a downregulation of CEACAM6 in SD-iCCA compared to LD-iCCA. CEACAM6 is a member of the immunoglobulin cell adhesion molecule superfamily, and its overexpression is associated with poor prognosis and invasiveness in vivo and in vitro in iCCA (Ieta et al. 2006; Liu et al. 2022; Kurlinkus et al. 2021). In addition, high levels of CEACAM6 are suggested as a screening parameter especially for eCCA (Rose et al. 2016), which is consistent with our data showing overexpression of CEACAM6 in LD-iCCA, as LD-iCCA are generally mucin-secreting tubular adenocarcinomas resembling perihilar and distal CCA (Kendall et al. 2019). Intriguingly, Ieta et al. could demonstrate that CEACAM6 overexpression is associated with chemoresistance to gemcitabine in vitro (Ieta et al. 2006) while two recently published studies revealed significant shorter progression-free survival for LD-iCCA receiving gemcitabine-based chemotherapy (Kinzler et al. 2022; Yoon et al. 2021). Thus, our data suggest that CEACAM6 could serve as a potential chemoresistant marker to gemcitabine especially in patients suffering from LD-iCCA.
Complement proteins, as a part of tumor microenvironment, can play a pivotal role in local immune response in various cancer entities (Roumenina et al. 2019). A recent proteomic analysis demonstrated that complement factors were significantly increased in CCA patients (Son et al. 2020) while it was shown that the reduced expression of complement factor H-related 3 is associated with poor prognosis and immune regulation in CCA patients (Wang et al. 2022). As such, presence of complement factor H-related 3 negatively correlated with tumor infiltrating lymphocytes like CD8 + T cells (Wang et al. 2022). In line with these findings, our data show an upregulation of various complement factors and a concomitant decrease of TIL in SD- compared to LD-iCCA. As part of the adaptive immune system, TIL can either target tumor cells to prevent carcinogenesis and cancer progression, or cancer cells can adopt strategies to evade the immune responses against the cancer, thus promoting tumor progression (Gooden et al. 2011). TIL comprise of highly heterogeneous immune cells, including CD8 + T cells. In iCCA, two studies have shown that an increase in TIL is associated with favorable outcome (Xia et al. 2022a; Yoon et al. 2021) while Goeppert et al. confirmed the prognostic value of TIL only for eCCA, but not for iCCA (Goeppert et al. 2013). For the first time, we could show increased CD8 + /TIL ratios in SD-iCCA compared to LD-iCCA in our study, which is in line with Xia et al. and Yoon et al. as this subtype is generally associated with better overall survival (Kinzler et al. 2022). However, Yoon et al. investigated TIL solely by determining the CD8 + status by immunohistochemistry in a sub cohort of PD-L1-inhibitor treated patients in recurrent or unresectable CCA that underwent upfront chemotherapy, which likely affected the immune landscape (Yoon et al. 2021), while we used NanoString® technology in treatment naïve tumor tissue. Thereby, our results were not potentially cofounded by prior treatments and thereby indicate a tumor-intrinsic trait.
In general, the presence of TIL- and chemokine-infiltrated TME is associated with better response to immune checkpoint blockade in CCA (Binnewies et al. 2018). So far, both iCCA subtypes are traditionally merged in the clinical context and are treated similarly with regard to chemo- and immunotherapeutic approaches. This long-held hypothesis is challenged by our finding that the immune signatures of LD-iCCA comprise higher levels of total TIL and chemokine signaling. Therefore, our results might suggest that this subtype is potentially more responsive to immunotherapy. However, studies investigating the potentially different response to immunotherapy in SD- and LD-iCCA with a possible link to TIL expression are needed.
Our study has several limitations that warrant discussion. We performed a retrospective analysis and selection bias cannot be ruled out. Our study population was small, and generalizability may not be presumed as this study was exploratory and hypothesis-generating in nature. However, we used treatment naïve tumor tissue of surgically resected specimen which ensured that the immune landscape of our samples was not altered due to prior anti-cancer treatments. Given these considerations, the substantial novelty of our data and the fact that data on this topic are lacking so far, the results of the present study are of high clinical relevance. Our aim was to exploratively analyze different immune patterns using NanoString® technology. We anticipate our results to accelerate and inform future work using confirmatory analysis such as immunofluorescence staining, flow cytometry, qPCR, in vitro, and in vivo experiments in prospective studies to augment and validate our results prior to clinical translation.
In conclusion, our study is the first to demonstrate that SD- and LD-iCCA are associated with dedicated local patterns of immune profiles. The substantial differences hold clinically relevant promise for biomarker discovery and treatment planning, especially using immune checkpoint therapy aimed at subtype-specific, personalized medicine. We anticipate our findings to inform future work which is needed to build upon and corroborate our findings, and thereby improve our understanding of iCCA biology for improved diagnostics, and treatment approaches.

Acknowledgements

S.B., T.J.V., P.J.W. and M.N.K. would like to thank the Frankfurt Cancer Institute (FCI) and the University Cancer Center (UCT) Frankfurt for the support.

Declarations

Conflict of Interest

F. F. has received travel support from Ipsen, Abbvie, Astrazeneca and speaker’s fees from AbbVie, MSD, Ipsen, Astra. S.Z. has received speaker fees and/or honoraria for consultancy from Abbvie, BioMarin, Gilead, Intercept, Janssen, Madrigal, MSD/Merck, NovoNordisk, SoBi and Theratechnologies. P.J.W. has received consulting fees and honoraria for lectures by Bayer, Janssen-Cilag, Novartis, Roche, MSD, Astellas Pharma, Bristol-Myers Squibb, Thermo Fisher Scientific, Molecular Health, Guardant Health, Sophia Genetics, Qiagen, Eli Lilly, Myriad, Hedera Dx, and Astra Zeneca; research support was provided by Astra Zeneca. The authors declare that there is no relationship relevant to the manuscripts’ subject. All other authors declare no conflicts of interest.

Ethics approval

The study was performed in accordance with the Declaration of Helsinki. The study protocol was approved by the local ethics committee of the University of Frankfurt (project-number: SGI-1–2021, SGI-3–2021).
Patients provided informed written consent and patient data was provided after approval by the local ethics committee.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Titel
Small duct and large duct type intrahepatic cholangiocarcinoma reveal distinct patterns of immune signatures
Verfasst von
Simon Bernatz
Falko Schulze
Julia Bein
Katrin Bankov
Scherwin Mahmoudi
Leon D. Grünewald
Vitali Koch
Angelika Stehle
Andreas A. Schnitzbauer
Dirk Walter
Fabian Finkelmeier
Stefan Zeuzem
Thomas J. Vogl
Peter J. Wild
Maximilian N. Kinzler
Publikationsdatum
01.07.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Cancer Research and Clinical Oncology / Ausgabe 7/2024
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-024-05888-y

Supplementary Information

Below is the link to the electronic supplementary material.
Zurück zum Zitat Aishima S, Oda Y (2015) Pathogenesis and classification of intrahepatic cholangiocarcinoma: different characters of perihilar large duct type versus peripheral small duct type. J Hepatobiliary Pancreat Sci 22:94–100PubMedCrossRef
Zurück zum Zitat Banales JM, Marin JJG, Lamarca A, Rodrigues PM, Khan SA, Roberts LR, Cardinale V, Carpino G, Andersen JB, Braconi C, Calvisi DF, Perugorria MJ, Fabris L, Boulter L, Macias RIR, Gaudio E, Alvaro D, Gradilone SA, Strazzabosco M, Marzioni M, Coulouarn C, Fouassier L, Raggi C, Invernizzi P, Mertens JC, Moncsek A, Rizvi S, Heimbach J, Koerkamp BG, Bruix J, Forner A, Bridgewater J, Valle JW, Gores GJ (2020) Cholangiocarcinoma 2020: the next horizon in mechanisms and management. Nat Rev Gastroenterol Hepatol 17:557–588PubMedPubMedCentralCrossRef
Zurück zum Zitat Bathum Nexoe A, Pedersen AA, von Huth S, Detlefsen S, Hansen PL, Holmskov U (2020) Immunohistochemical Localization of Deleted in Malignant Brain Tumors 1 in Normal Human Tissues. J Histochem Cytochem 68:377–387PubMedCrossRef
Zurück zum Zitat Bertuccio P, Bosetti C, Levi F, Decarli A, Negri E, La Vecchia C (2013) A comparison of trends in mortality from primary liver cancer and intrahepatic cholangiocarcinoma in Europe. Ann Oncol 24:1667–1674PubMedCrossRef
Zurück zum Zitat Binnewies M, Roberts EW, Kersten K, Chan V, Fearon DF, Merad M, Coussens LM, Gabrilovich DI, Ostrand-Rosenberg S, Hedrick CC, Vonderheide RH, Pittet MJ, Jain RK, Zou W, Howcroft TK, Woodhouse EC, Weinberg RA, Krummel MF (2018) Understanding the tumor immune microenvironment (TIME) for effective therapy. Nat Med 24:541–550PubMedPubMedCentralCrossRef
Zurück zum Zitat Bisgaard HC, Holmskov U, Santoni-Rugiu E, Nagy P, Nielsen O, Ott P, Hage E, Dalhoff K, Rasmussen LJ, Tygstrup N (2002) Heterogeneity of ductular reactions in adult rat and human liver revealed by novel expression of deleted in malignant brain tumor 1. Am J Pathol 161:1187–1198PubMedPubMedCentralCrossRef
Zurück zum Zitat Bridgewater J, Galle PR, Khan SA, Llovet JM, Park JW, Patel T, Pawlik TM, Gores GJ (2014) Guidelines for the diagnosis and management of intrahepatic cholangiocarcinoma. J Hepatol 60:1268–1289PubMedCrossRef
Zurück zum Zitat Chen EY, Tan CM, Kou Y, Duan Q, Wang Z, Meirelles GV, Clark NR, Ma’ayan A (2013) Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinform 14:128CrossRef
Zurück zum Zitat Chung T, Park YN (2022) Up-to-date pathologic classification and molecular characteristics of intrahepatic cholangiocarcinoma. Front Med (lausanne) 9:857140PubMedCrossRef
Zurück zum Zitat Chung T, Rhee H, Nahm JH, Jeon Y, Yoo JE, Kim Y-J, Han DH, Park YN (2020) Clinicopathological characteristics of intrahepatic cholangiocarcinoma according to gross morphologic type: cholangiolocellular differentiation traits and inflammation- and proliferation-phenotypes. HPB 22:864–873PubMedCrossRef
Zurück zum Zitat Fiste O, Ntanasis-Stathopoulos I, Gavriatopoulou M, Liontos M, Koutsoukos K, Dimopoulos MA, Zagouri F (2021) The emerging role of immunotherapy in intrahepatic cholangiocarcinoma. Vaccines (basel) 9:422PubMedCrossRef
Zurück zum Zitat Gerber TS, Müller L, Bartsch F, Gröger LK, Schindeldecker M, Ridder DA, Goeppert B, Möhler M, Dueber C, Lang H, Roth W, Kloeckner R, Straub BK (2022) Integrative analysis of intrahepatic cholangiocarcinoma subtypes for improved patient stratification: clinical, pathological, and radiological considerations. Cancers (basel) 14:3156PubMedCrossRef
Zurück zum Zitat Goeppert B, Frauenschuh L, Zucknick M, Stenzinger A, Andrulis M, Klauschen F, Joehrens K, Warth A, Renner M, Mehrabi A, Hafezi M, Thelen A, Schirmacher P, Weichert W (2013) Prognostic impact of tumour-infiltrating immune cells on biliary tract cancer. Br J Cancer 109:2665–2674PubMedPubMedCentralCrossRef
Zurück zum Zitat Goeppert B, Roessler S, Becker N, Zucknick M, Vogel MN, Warth A, Pathil-Warth A, Mehrabi A, Schirmacher P, Mollenhauer J, Renner M (2017) DMBT1 expression in biliary carcinogenesis with correlation of clinicopathological data. Histopathology 70:1064–1071PubMedCrossRef
Zurück zum Zitat Gooden MJ, de Bock GH, Leffers N, Daemen T, Nijman HW (2011) The prognostic influence of tumour-infiltrating lymphocytes in cancer: a systematic review with meta-analysis. Br J Cancer 105:93–103PubMedPubMedCentralCrossRef
Zurück zum Zitat Greten TF, Schwabe R, Bardeesy N, Ma L, Goyal L, Kelley RK, Wang XW (2023) Immunology and immunotherapy of cholangiocarcinoma. Nat Rev Gastroenterol Hepatol 20:349–365PubMedCrossRef
Zurück zum Zitat Groot Koerkamp B, Fong Y (2014) Outcomes in biliary malignancy. J Surg Oncol 110:585–591PubMedCrossRef
Zurück zum Zitat Hayashi A, Misumi K, Shibahara J, Arita J, Sakamoto Y, Hasegawa K, Kokudo N, Fukayama M (2016) Distinct Clinicopathologic and Genetic Features of 2 Histologic Subtypes of Intrahepatic Cholangiocarcinoma. Am J Surg Pathol 40:1021–1030PubMedCrossRef
Zurück zum Zitat Ieta K, Tanaka F, Utsunomiya T, Kuwano H, Mori M (2006) CEACAM6 gene expression in intrahepatic cholangiocarcinoma. Br J Cancer 95:532–540PubMedPubMedCentralCrossRef
Zurück zum Zitat Jing C-Y, Yi-Peng Fu, Yi Y, Mei-Xia Zhang S-S, Zheng J-L, Gan W, Xin Xu, Lin J-J, Zhang J, Qiu S-J, Zhang B-H (2019) HHLA2 in intrahepatic cholangiocarcinoma: an immune checkpoint with prognostic significance and wider expression compared with PD-L1. J Immunother Cancer 7:77PubMedPubMedCentralCrossRef
Zurück zum Zitat Job S, Rapoud D, Dos Santos A, Gonzalez P, Desterke C, Pascal G, Elarouci N, Ayadi M, Adam R, Azoulay D, Castaing D, Vibert E, Cherqui D, Samuel D, Sa Cuhna A, Marchio A, Pineau P, Guettier C, de Reyniès A, Faivre J (2020) Identification of four immune subtypes characterized by distinct composition and functions of tumor microenvironment in intrahepatic cholangiocarcinoma. Hepatology 72:965–981PubMedCrossRef
Zurück zum Zitat Kelley RK, Ueno M, Yoo C, Finn RS, Furuse J, Ren Z, Yau T, Klümpen HJ, Chan SL, Ozaka M, Verslype C, Bouattour M, Park JO, Barajas O, Pelzer U, Valle JW, Yu L, Malhotra U, Siegel AB, Edeline J, Vogel A (2023) Pembrolizumab in combination with gemcitabine and cisplatin compared with gemcitabine and cisplatin alone for patients with advanced biliary tract cancer (KEYNOTE-966): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 401:1853–1865PubMedCrossRef
Zurück zum Zitat Kendall T, Verheij J, Gaudio E, Evert M, Guido M, Goeppert B, Carpino G (2019) Anatomical, histomorphological and molecular classification of cholangiocarcinoma. Liver Int 39(Suppl 1):7–18PubMedCrossRef
Zurück zum Zitat Kinzler MN, Schulze F, Bankov K, Gretser S, Becker N, Leichner R, Stehle A, Abedin N, Trojan J, Zeuzem S, Schnitzbauer AA, Wild PJ, Walter D (2022) Impact of small duct- and large duct type on survival in patients with intrahepatic cholangiocarcinoma: results from a German tertiary center. Pathol Res Pract 238:154126PubMedCrossRef
Zurück zum Zitat Kinzler MN, Bankov K, Bein J, Döring C, Schulze F, Reis H, Mahmoudi S, Koch V, Grünewald LD, Stehle A, Walter D, Finkelmeier F, Zeuzem S, Wild PJ, Vogl TJ, Bernatz S (2023) CXCL1 and CXCL6 are potential predictors for HCC response to TACE. Curr Oncol 30:3516–3528PubMedPubMedCentralCrossRef
Zurück zum Zitat Konishi D, Umeda Y, Yoshida K, Shigeyasu K, Yano S, Toji T, Takeda S, Yoshida R, Yasui K, Fuji T, Matsumoto K, Kishimoto H, Michiue H, Teraishi F, Kato H, Tazawa H, Yanai H, Yagi T, Goel A, Fujiwara T (2022) Regulatory T cells induce a suppressive immune milieu and promote lymph node metastasis in intrahepatic cholangiocarcinoma. Br J Cancer 127:757–765PubMedPubMedCentralCrossRef
Zurück zum Zitat Kuleshov MV, Jones MR, Rouillard AD, Fernandez NF, Duan Q, Wang Z, Koplev S, Jenkins SL, Jagodnik KM, Lachmann A, McDermott MG, Monteiro CD, Gundersen GW, Ma’ayan A (2016) Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res 44:W90–W97PubMedPubMedCentralCrossRef
Zurück zum Zitat Kurlinkus B, Ger M, Kaupinis A, Jasiunas E, Valius M, Sileikis A (2021) CEACAM6’s role as a chemoresistance and prognostic biomarker for pancreatic cancer: a comparison of CEACAM6’s diagnostic and prognostic capabilities with those of CA19–9 and CEA. Life (basel) 11:542PubMed
Zurück zum Zitat Liau J-Y, Tsai J-H, Yuan R-H, Chang C-N, Lee H-J, Jeng Y-M (2014) Morphological subclassification of intrahepatic cholangiocarcinoma: etiological, clinicopathological, and molecular features. Mod Pathol 27:1163–1173PubMedCrossRef
Zurück zum Zitat Liu C, Wang M, Lv H, Liu B, Ya X, Zhao W, Wang W (2022) CEACAM6 promotes cholangiocarcinoma migration and invasion by inducing epithelial-mesenchymal transition through inhibition of the SRC/PI3K/AKT signaling pathway. Oncol Lett 23:39PubMedCrossRef
Zurück zum Zitat Mollenhauer J, Herbertz S, Holmskov U, Tolnay M, Krebs I, Merlo A, Schrøder HD, Maier D, Breitling F, Wiemann S, Gröne HJ, Poustka A (2000) DMBT1 encodes a protein involved in the immune defense and in epithelial differentiation and is highly unstable in cancer. Cancer Res 60:1704–1710PubMed
Zurück zum Zitat Oh D-Y, He AR, Qin S, Chen L-T, Okusaka T, Vogel A, Kim JW, Suksombooncharoen T, Lee MA, Kitano M, Burris III HA, Bouattour M, Tanasanvimon S, Zaucha R, Avallone A, Cundom J, Rokutanda N, Xiong J, Cohen G, Valle JW (2022) A phase 3 randomized, double-blind, placebo-controlled study of durvalumab in combination with gemcitabine plus cisplatin (GemCis) in patients (pts) with advanced biliary tract cancer (BTC): TOPAZ-1. J Clin Oncol 40:378–478CrossRef
Zurück zum Zitat Pan C, Liu H, Robins E, Song W, Liu D, Li Z, Zheng L (2020) Next-generation immuno-oncology agents: current momentum shifts in cancer immunotherapy. J Hematol Oncol 13:29PubMedPubMedCentralCrossRef
Zurück zum Zitat Preusse C, Eede P, Heinzeling L, Freitag K, Koll R, Froehlich W, Schneider U, Allenbach Y, Benveniste O, Schänzer A, Goebel HH, Stenzel W, Radke J (2021) NanoString technology distinguishes anti-TIF-1γ(+) from anti-Mi-2(+) dermatomyositis patients. Brain Pathol 31:e12957PubMedPubMedCentralCrossRef
Zurück zum Zitat Rose JB, Correa-Gallego C, Li Y, Nelson J, Alseidi A, Helton WS, Allen PJ, D’Angelica MI, DeMatteo RP, Fong Y, Kingham TP, Kowdley KV, Jarnagin WR, Rocha FG (2016) The role of biliary carcinoembryonic antigen-related cellular adhesion molecule 6 (CEACAM6) as a biomarker in cholangiocarcinoma. PLoS ONE 11:e0150195PubMedPubMedCentralCrossRef
Zurück zum Zitat Roumenina LT, Daugan MV, Petitprez F, Sautès-Fridman C, Fridman WH (2019) Context-dependent roles of complement in cancer. Nat Rev Cancer 19:698–715PubMedCrossRef
Zurück zum Zitat Sasaki M, Huang SF, Chen MF, Jan YY, Yeh TS, Ishikawa A, Mollenhauer J, Poustka A, Tsuneyama K, Nimura Y, Oda K, Nakanuma Y (2003) Expression of deleted in malignant brain tumor-1 (DMBT1) molecule in biliary epithelium is augmented in hepatolithiasis: possible participation in lithogenesis. Dig Dis Sci 48:1234–1240PubMedCrossRef
Zurück zum Zitat Sigel CS, Drill E, Zhou Yi, Basturk O, Askan G, Pak LM, Vakiani E, Wang T, Boerner T, Do RKG, Simpson AL, Jarnagin W, Klimstra DS (2018) Intrahepatic cholangiocarcinomas have histologically and immunophenotypically distinct small and large duct patterns. Am J Surg Pathol 42:1334–1345PubMedPubMedCentralCrossRef
Zurück zum Zitat Son KH, Ahn CB, Kim HJ, Kim JS (2020) Quantitative proteomic analysis of bile in extrahepatic cholangiocarcinoma patients. J Cancer 11:4073–4080PubMedPubMedCentralCrossRef
Zurück zum Zitat Wang H, He M, Zhang Z, Yin W, Ren B, Lin Y (2022) Low complement Factor h-related 3 (CFHR3) expression indicates poor prognosis and immune regulation in cholangiocarcinoma. J Oncol 2022:1752827PubMedPubMedCentralCrossRef
Zurück zum Zitat WHO Classification of Tumours (2019) 5th ed. Vol. 1. Digestive System Tumours, 2019. [Online]. Available: https://publications.iarc.fr/Book-And-Report-Series/Who-Classification-Of-Tumours/Digestive-System-Tumours-2019. Accessed 20 May 2024
Zurück zum Zitat Xia T, Li K, Niu N, Shao Y, Ding D, Thomas DL, Jing H, Fujiwara K, Hu H, Osipov A, Yuan C, Wolfgang CL, Thompson ED, Anders RA, He J, Mou Y, Murphy AG, Zheng L (2022a) Immune cell atlas of cholangiocarcinomas reveals distinct tumor microenvironments and associated prognoses. J Hematol Oncol 15:37PubMedPubMedCentralCrossRef
Zurück zum Zitat Xia T, Li K, Niu N, Shao Y, Ding D, Thomas DL, Jing H, Fujiwara K, Haijie Hu, Osipov A, Yuan C, Wolfgang CL, Thompson ED, Anders RA, He J, Mou Y, Murphy AG, Zheng L (2022b) Immune cell atlas of cholangiocarcinomas reveals distinct tumor microenvironments and associated prognoses. J Hematol Oncol 15:37PubMedPubMedCentralCrossRef
Zurück zum Zitat Yoon JiG, Kim MH, Jang M, Kim H, Hwang HK, Kang CM, Lee WJ, Kang B, Lee C-k, Lee MG, Chung HC, Choi HJ, Park YN (2021) Molecular characterization of biliary tract cancer predicts chemotherapy and programmed death 1/programmed death-ligand 1 blockade responses. Hepatology 74:1914–1931PubMedCrossRef
Zurück zum Zitat Yugawa K, Itoh S, Yoshizumi T, Iseda N, Tomiyama T, Toshima T, Harada N, Kohashi K, Oda Y, Mori M (2021) Prognostic impact of tumor microvessels in intrahepatic cholangiocarcinoma: association with tumor-infiltrating lymphocytes. Mod Pathol 34:798–807PubMedCrossRef

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