- Open Access
CD90 is regulated by notch1 and hallmarks a more aggressive intrahepatic cholangiocarcinoma phenotype
Journal of Experimental & Clinical Cancer Research volume 41, Article number: 65 (2022)
Intrahepatic Cholangiocarcinoma (iCCA) is characterized by a strong stromal reaction playing a role in tumor progression. Thymus cell antigen 1 (THY1), also called Cluster of Differentiation 90 (CD90), is a key regulator of cell–cell and cell–matrix interaction. In iCCA, CD90 has been reported to be associated with a poor prognosis. In an iCCA PDX model, we recently found that CD90 was downregulated in mice treated with the Notch γ-secretase inhibitor Crenigacestat. The study aims to investigate the role of CD90 in relation to the NOTCH pathway.
THY1/CD90 gene and protein expression was evaluated in human iCCA tissues and xenograft models by qRT-PCR, immunohistochemistry, and immunofluorescence. Notch1 inhibition was achieved by siRNA. THY1/CD90 functions were investigated in xenograft models built with HuCCT1 and KKU-M213 cell lines, engineered to overexpress or knockdown THY1, respectively.
CD90 co-localized with EPCAM, showing its epithelial origin. In vitro, NOTCH1 silencing triggered HES1 and THY1 down-regulation. RBPJ, a critical transcriptional regulator of NOTCH signaling, exhibited putative binding sites on the THY1 promoter and bound to the latter, implying CD90 as a downstream NOTCH pathway effector. In vivo, Crenigacestat suppressed iCCA growth and reduced CD90 expression in the PDX model. In the xenograft model, Crenigacestat inhibited tumor growth of HuCCT1 cells transfected to overexpress CD90 and KKU-M213 cells constitutively expressing high levels of CD90, while not affecting the growth of HuCCT1 control cells and KKU-M213 depleted of CD90. In an iCCA cohort, patients with higher expression levels of NOTCH1/HES1/THY1 displayed a significantly shorter survival.
iCCA patients with higher NOTCH1/HES1/THY1 expression have the worst prognosis, but they are more likely to benefit from Notch signaling inhibition. These findings represent the scientific rationale for testing NOTCH1 inhibitors in clinical trials, taking the first step toward precision medicine for iCCA.
Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive tumor developing in the biliary tract and the second most common primary hepatic cancer after hepatocellular carcinoma (HCC) . In recent years, the global trend for iCCA has risen, reaching 2–3/100,000 inhabitants in most countries . Survival rates for iCCA patients at 1, 3, 5-years are only 52.1, 21.7, and 11.2%, respectively . The only curative treatment options for iCCA are partial hepatectomy or chemotherapy and radiotherapy. However, these therapeutic approaches are suitable only for patients with early-stage disease; in addition, the tumor frequently recurs. Treatments for advanced iCCA are limited, and the prognosis is poor . The lack of more effective therapies is mainly due to the poor knowledge of the carcinogenesis mechanisms underlying iCCA development and progression and the lack of reliable biomarkers, predictive tools, and proper molecular classification. It has been proposed that the stroma reaction, particularly the interaction between iCCA cells and extracellular matrix components (ECM) of the surrounding microenvironment, plays a crucial role in disease progression (Coulouarn, Hepatology 2013). In this context, Thymus cell antigen 1 (THY1), also called Cluster of Differentiation 90 (CD90), is a 25–37 KD glycophosphatidylinositol (GPI)-anchored protein expressed in numerous cell types, including T cells, neurons, endothelial cells, and cancer-associated fibroblasts (CAFs). THY1 is a critical regulator of cell adhesion and communication, cell-ECM interaction and the immune and nervous systems [5, 6].
The latest findings report that in several tumors, including ovarian cancer, THY1 is overexpressed in cancer stem cells (CSC) and the tumor microenvironment, enhancing proliferation and metastasis abilities . Furthermore, in HCC, THY1 expression is related to poor tumor differentiation, invasive properties, and dismal prognosis [8, 9]. In iCCA, CD90 was reported, in a single study by immunohistochemistry, to be associated with lymph nodes metastasis . Nevertheless, no data explaining the role of CD90 at the molecular level in iCCA are yet available. Recently, performing a comprehensive transcriptomic analysis in a PDX model of iCCA, we discovered the downregulation of CD90 in mice treated with Crenigacestat . This molecule is a selective NOTCH1 γ-secretase inhibitor (GSI), already tested in phase 1 clinical trial in patients with advanced or metastatic solid tumors including CCA (NCT02784795), and currently used in further clinical studies (https://clinicaltrials.gov/ct2/show/NCT02784795). NOTCH signaling plays an essential role in biliary development and regeneration, tubulogenesis, and survival of stem cell niches . Aberrant and/or overexpression of NOTCH1 via HES1 has been related to the development of iCCA in a mouse model . The NOTCH cascade is initiated by the proteolytic cleavage of the γ-secretase enzyme that releases the NOTCH Intracellular Domain (NICD), which engages ligands of the Jagged or Delta-like families. NICD binds to the Recombination Signal Binding Protein For Immunoglobulin Kappa J Region (RPBJ) transcription factor in the nucleus, thus regulating its activity . Inhibition of RBPJ activity led to the total inhibition of the NOTCH signaling pathway and the consequent reduction of iCCA development in the AKT/JAG-1 mouse model .
This study aims to investigate the function of CD90 in relation to the activated NOTCH signaling cascade and the potential clinical implications.
Cell lines and treatment
The HuCCT1, RBE, KKU-M213, and KKU-M156 human iCCA cell lines were purchased from ATCC or RIKEN. Regular monitoring with the MycoFluor™ Mycoplasma Detection Kit (ThermoFisher Scientific, Waltham, MA, USA) was performed to obtain a mycoplasma-free cell culture environment. The first two cell lines were cultured in DMEM (Dulbecco's Modified Eagle Medium), while the last two were cultured in RPMI, both supplemented with Sodium Pyruvate, Antibiotic–Antimycotic, Hepes, and 10% fetal bovine serum (FBS) (Thermo Fisher Scientific, Waltham, MA, USA). Crenigacestat (LY3039478, Selleckchem Chemicals, Houston, TX, USA) was used in in vitro and in vivo studies as GSI. Stock solutions were prepared in dimethylsulfoxide (DMSO) (Thermo Fisher Scientific, Waltham, MA, USA), and aliquots were stored at − 20 °C.
Transient transfection of THY1 small interferingRNA (siRNA)
Mycoplasma-free KKU-M213, RBE, and KKU-M156 iCCA cell lines, after validation (Genetica DNA Laboratories, Burlington, NC, USA), were used for this study. Cell lines were maintained as monolayer cultures in Dulbecco's modified Eagle medium supplemented with 10% fetal bovine serum (FBS; Gibco, Grand Island, NY, USA), 100 U/mL penicillin, and 100 g/mL streptomycin (Gibco, Grand Island, NY, USA). Cells were grown for 12 h in complete medium, then serum-deprived for 24 h and treated with siRNA against NOTCH1 (# s453558; ThermoFisher Scientific Waltham, MA, USA), following the manufacturer's recommendations. Effects at 48 h after siRNA transfection are shown.
Stable THY1 silencing and overexpression
For loss of function studies, the KKU-M213 cell line was transduced with Human shRNA lentiviral particles carrying 4 THY1 specific sequences (A to D) and scramble control-shRNA sequence (OriGene Technologies, Inc., Rockville, MD 20,850, USA). Scramble control-shRNA sequence and THY1-shRNA sequence B were used in all the experiments involving THY1 downregulation at a multiplicity of infection (MOI) 100.
For gain of function studies, the HuCCT1 cell line was transduced with human THY1-CMV-GFP and Lenti-CMV-GFP-2A-Puro-Blank Lentivirus (Aurogene, Italy) at MOI 40.
Both genetically modified cell lines were selected with puromycin dihydrochloride (Thermo Fisher Scientific, Waltham, MA, USA) at 1 µg/ml and 0.625 µg/ml for KKU-M213 and HuCCT1, respectively, to obtain stable THY1 silencing and THY1 overexpression, according to the manufacturer's instructions.
Immunohistochemistry and immunofluorescence
For immunohistochemistry (IHC), formalin-fixed, paraffin-embedded (FFPE) tissues from 174 patients with iCCA, routinely collected for diagnosis purposes, were studied. Tumor sections of 4 μm were freshly cut and dried at 60 °C for 30 min. IHC analysis was carried out in sections after deparaffinization for 30 min and then rehydration in grades of alcohol. Antigen retrieval was performed at 90 °C for 20 min with Tris–borate-EDTA Buffer. An automated stainer (cat. K5007, Dako, Glostrup, Denmark) was used to stain the iCCA sections with the primary anti-CD90 antibody diluted 1:150 (Abcam, Cambridge, MA, USA). The Real Envision DAB Substrate Kit (DAKO) was used according to the manufacturer's instructions. CD90 expression was scored for all staining patterns, according to the staining intensity and the percentage of positively stained cells, by two independent, blinded pathologists.
Additionally, two groups (n = 10) of KKU-M213 scramble shRNA tumors treated with vehicle or Crenigacestat and two groups (n = 10) of HuCCT1 THY1 + + tumors treated with vehicle or Crenigacestat were stained by immunohistochemistry with AKT and pAKT (1:100 Cell Signaling Technologies, Massachusetts, USA).
For immunofluorescence (IF) staining, frozen tissues sections were fixed in a 1:1 acetone:chloroform solution, blocked with 2% bovine serum albumin solution, and incubated with anti-CD90, anti-αSMA, and anti-EPCAM antibodies (1:500, Cell Signaling Technologies, Massachusetts, USA). After washing, slides were incubated with secondary goat anti-rabbit immunoglobulin G H&L (Alexa Fluor 488, Thermo Fisher Scientific, Waltham, MA, USA).
For the fluorescence imaging of CD90, the cells fixed with PFA4% were permeabilized with 0.1% Triton X-100 in PBS in 2% bovine serum albumin for 30 min. After washing three times in PBS, the chamber slide were incubated with anti-CD90 antibody (1:500, Cell Signaling Technologies, Massachusetts, USA) in blocking solution for 1 h at 37 °C in a humid chamber. After washing three times in PBS, the chamber slide was incubated with secondary goat anti-rabbit immunoglobulin G H&L (1:50 Alexa Fluor 488, Thermo Fisher Scientific, Waltham, MA, USA) for 1 h at 37 °C in a humid chamber in the dark, then washed with PBS three times and covered with 4′,6-diamidino-2-phenylindole (DAPI)-supplemented antifade mounting medium VECTASHIELD (Vector Lab, Burlingame, CA, USA) to stain the nucleus. As a negative control, a well of the chamber slide was stained while omitting the primary antibody.
For the visualization of immunohistochemistry and immunofluorescence, images the Eclipse Ti2 microscope (Nikon Inc., Melville, NY) were used. For each sample, 5 images were captured in different positions, and staining was quantified using Image J analysis software.
Spheroid formation assay
96-wells of the tissue culture plate were pre-coated with Matrigel Matrix, growth factor reduced, phenol-red free (Corning, Bedford, MA, USA). Refrigerated Matrigel is dispensed onto the cold surface of the wells and then kept at 37 °C to allow gelation. 2 × 103 cells/well were resuspended separately in a refrigerated matrigel matrix to enable the embedding of the cells within the matrix upon gelation. After leaving the suspension overnight, we treated the cells with increasing concentrations of Crenigacestat (1–5-10 µM). The culture medium, with the treatment, was changed every two days. After 13 days, the spheroid cultures were stopped for a proliferation assay, CellTiter 96® AQueous One Solution Cell Proliferation Assay (Promega Italia s.r.l., Milan, Italy), a colorimetric method for determing cell viability.
In vivo studies
In the present study, we examined the modulation of the CD90/THY1 in our iCCA patient-derived xenograft (PDX) model treated with Crenigacestat, established in our previous work .
Two million stable CD90-silenced KKU-M213 cell lines or CD90 overexpressed HuCCT1 cell lines, or corresponding cells that received the empty vector, were subcutaneously injected into the flanks of 4–5-week-old females CD1 nude mice. Each mouse was monitored daily for clinical signs and mortality, and body weight was recorded twice a week. Tumor growth was assessed with a caliper once a week, evaluating tumor volume with the formula (mm3) = [length (mm) × width (mm)2]/2, where width and length are the shortest and the longest diameters. When the tumor masses volume reached approximately 70–100 mm3, the mice were randomly divided into 8 experimental groups of ten animals and administered Crenigacestat (8 mg/kg) or vehicle by oral gavage every 2 days for 35 days. At the end of the study, mice were sacrificed by cervical dislocation, and tumor masses were collected and frozen to -80 °C.
Total RNA was extracted using TRIzol® (Thermo Fisher Scientific, Waltham, MA, USA) in combination with the TissueLyser homogenizer (Qiagen, Hilden, Germany), according to the manufacturer's instructions. The RNA concentration was determined with the NanoDrop Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA).
Quantitative reverse-transcription real-time PCR (qRT-PCR)
cDNA was obtained starting from 1 µg of total RNA, using the iScript Reverse Transcription Supermix (Bio-Rad Laboratories, Hercules, CA, USA) according to the manufacturer's instructions. Quantitative PCR reactions were performed using SsoAdvanced SYBR green (Biorad Laboratories, Hercules, CA, USA) and the primers THY1 Human PrimePCR™ SYBR® Green Assay ID: qHsaCED0036661 (Biorad Laboratories, Hercules, CA, USA) and Hs_GAPDH_1_SG QuantiTect Primer Assay ID: QT00079247 (Qiagen, Hilden, Germany). Gene Expression Assays for human NOTCH1 (Hs01062014_m1), HES1 (Hs00172878_m1), THY1 (Hs06633377_s1), and β-actin (4333762 T) were purchased from Applied Biosystems (Foster City, CA, USA). Quantitative values for each gene were calculated by using the PE Biosystems Analysis software and expressed as number target (NT). NT = 2 − ΔCt, wherein the ΔCt value of each sample was calculated by subtracting the average Ct value of the target gene from the average Ct value of the β-Actin gene. Experiments were repeated three times in triplicate. For the screening of AKT Signaling, PrimePCR arrays (Cat #10,025,059, BioRad Laboratories, Hercules, CA, USA) was used. Real-time PCR was performed on the CFX96 System (Biorad Laboratories, Hercules, CA, USA). Comparative real-time PCR was performed in triplicate, including no-template controls. Relative expression was calculated using the 2−ΔΔCt method. The ΔCt value of each sample was calculated by subtracting the average Ct value of the target gene from the average Ct value of the GAPDH gene.
Chromatin isolated from KKU-M213, KKU-M156, and RBE cells was subjected to immunoprecipitation using the MAGnify Chromatin Immunoprecipitation System (492,024, Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer's instructions. Chromatin was sonicated to a fragment length of about 500 bp and immunoprecipitated with 1 μg of RBPJ (Cell Signaling Technologies, Massachusetts, USA; Active Motif, Belgium, Germany), H3K4me3 (Abcam, Cambridge, MA), H3K27me3 (Abcam, Cambridge, MA, USA), and IgG (Cell Signaling Technologies, Massachusetts, USA) antibodies. The set of primers used for ChIP allows the amplification of target regions, including RBPJ consensus motifs (1 and 2) sites at—1000 bp (genomic position 119,424,535 – 119,424,508) from TSS at the 5' UTR region of the THY gene locus. Primer sequences can be provided upon request.
Statistical and bioinformatic analysis
All experimental results are expressed as mean ± standard error of the mean (SEM). GraphPad Prism version 5.03 (GraphPad Software, San Diego, CA, USA) was used to calculate Unpaired Student's t-test and one-way analysis of variance (ANOVA). Differences were considered statistically significant at p values * P < 0.05, ** P < 0.01, and *** P < 0.001.
Each biomarkers distribution was compared using a graphical plot that shows the scatter distribution of the quantities across medians and interquartile ranges. Due to the non-normal distribution of the standard deviations of biomarker distribution, the Wilcoxon test on the median was used to compare the expression of the biomarkers in the tumor tissues vs. surrounding areas. Pearson correlation analysis was applied to reveal a linear association between each biomarker in the following combinations: CD90 vs. NOTCH1, CD90 vs. HES1, HES1 vs. NOTCH1. To assess the statistical significance of monotonic associations between the variables, a P < 0.05 was used as a cut-off to reject the null hypothesis.
The whole patients' population was subdivided into two groups according to the median values of each biomarker, assayed both separately and summed. Subsequently, the non-parametric Kaplan–Meier method was used to explore the survival probability in months, comparing the two groups of patients (below median vs. above median) for each biomarker and all the biomarkers together. Log-rank test was applied to evaluate the equality of survival among categories, setting a statistical significance threshold of < 0.05.
The Ingenuity pathway analysis (IPA) software (Qiagen, Hilden, Germany) was used to uncover the canonical pathways and molecular networks in which modulated genes are involved.
We have previously reported that in a PDX model of iCCA, Crenigacestat treatment reduces tumor growth. However, in some in vitro experimental models, Crenigacestat did not affect either proliferation, survival, migration, and adhesion, either in 2D or 3D experimental conditions . This apparent inconsistency prompted us to make a deeper investigation on the cancer stemness involved in cancer responsiveness/resistance.
THY1/CD90 is expressed by epithelial cells in iCCA tissues
In all frozen iCCA PDX tissues sections, CD90 was co-localized with EpCAM, a specific molecular marker of epithelial cells (Fig. 1B) but not with alpha-smooth muscle actin (α-SMA), a marker of stromal cells such as myofibroblasts (Fig. 1A). The distribution pattern of CD90 was intracellular and on the plasma membrane, as observed in the microscopic fields. Similarly, in a collection of 174 human iCCA paraffin-embedded tissues, CD90 was predominantly expressed in the cytoplasm of the tumor epithelial cells, independently of moderate (Fig. 1C-D) or severe differentiation (Fig. 1E-F). These findings suggest that in the PDX model and patients' tissues, CD90 is present on epithelial but not on stromal cells, showing a similar intracellular and plasma membrane distribution.
THY1/CD90 is a NOTCH target
In a PDX iCCA model that we have generated , THY1/CD90 was significantly downregulated at the transcriptional and protein level (p < 0.01 and p < 0.001, respectively), following treatment with Crenigacestat (Fig. 2A-B). These data suggest that THY1/CD90 expression in iCCA is regulated by the NOTCH1 inhibitor Crenigacestat.
To confirm our previous observation, we firstly checked the presence of CD90 in different iCCA cell lines and detected a strong expression of THY1 mRNA in KKU-M213, RBE, and KKU-M156 versus a very weak expression in HuCCT1 (Fig. 3A). Then, to test the hypothesis that Crenigacestat inhibits THY1/CD90, we silenced NOTCH1 in the three cell lines highly expressing THY1. In all these cells, after knocking down NOTCH1, the canonical NOTCH target HES1 was also strongly decreased (p < 0.001), and as hypothesized, THY1 mRNA was also significantly (p < 0.001) downregulated (Fig. 3B). These results further support the role of NOTCH1 in modulating THY1 expression.
Furthermore, in silico approaches revealed that RBPJ, an essential transcriptional regulator of the canonical NOTCH signaling, displays putative binding sites at the THY1 gene promoter (Fig. 4A). To verify and validate this prediction, we inhibited the NOTCH pathway in vitro by transient overexpression of the dominant-negative form of RBPJ (dnRBPJ) [15, 17] in the representative RBE cell line. As expected, significant overexpression of RBPJ and a consistent reduction of THY1 mRNA levels by qRT-PCR occurred (p < 0.001; Fig. 4B).
To further investigate the eventual binding of RBPJ at the THY1 promoter, the in-silico analysis of the 5' UTR region of the THY locus was additionally analyzed. We found that the sequence-paired site (SPS) contains two RBPJ binding sites, at genomic positions 119,424,535 – 119,424,508 (Fig. 4C). This region is marked by activating epigenetic modifications typical of open chromatin, which is accessible to transcription machinery, as we identified an enrichment of the active marker H3K4me3 versus low amounts of the repressive marker H3K27me3. Of note, we discovered by chromatin immunoprecipitation that RBPJ binds to the detected SPS in iCCA cells, confirming our hypothesis that THY1 is a downstream target gene of the NOTCH1 pathway.
Crenigacestat inhibits the expression of THY1/CD90 in iCCA cells
To verify that Crenigacestat inhibits the NOTCH/HES1/CD90 axis in vitro, we used two different iCCA cell models engineered for loss or gain of CD90 expression. In the first case, we used KKU-M213 cells expressing constitutively high levels of THY1. At different Multiplicity of Infection (MOI) levels, we introduced lentiviral particles with scramble-shRNA or CD90-shRNA expression vector. THY1/CD90 was significantly (p < 0.001) inhibited at transcriptional and protein levels, as shown in Fig. 5A-B, in silenced transfected cells compared to scrambled transfected cells at MOI 100. In the functional assay, after 14 days, KKU-M213 scramble sh-RNA cells form spheres with a larger diameter than KKU-M213 THY1/CD90-shRNA, indicating that CD90 positive cells play a tumorigenic role, Fig. 5C.
In the second case, we used HuCCT1 cells previously shown to express constitutively low levels of CD90. As described above, we tested different MOI gain of THY1/CD90 expression, validated by qRT-PCR and immunofluorescence staining. The mRNA and protein expression levels of THY1/CD90 were significantly increased after the transduction approach in HuCCT1_ THY1/CD90 + + at MOI 40 compared to those transduced with empty vector (p < 0.05; Fig. 6A-B). In line with previously described results, HuCCT1 THY1 + + cells formed spheres, after 14 days, significantly faster and with a larger diameter, than HuCCT1 empty vector, supporting the conclusion that CD90 plays an essential role in maintaining iCCA tumor stemness, Fig. 6C.
Next, 10 µM Crenigacestat significantly (p < 0.01) inhibited CD90 levels in KKU-M213 scramble-shRNA but not in KKU-M213 THY1/CD90-shRNA cells (Fig. 7A). Also in this case, Crenigacestat 10 µM significantly (p < 0.01) reduced CD90 expression in the HuCCT1_CD90 + + cells, but not in the HuCCT1 empty vector (Fig. 7B). These results suggest that Crenigacestat inhibits the NOTCH/HES1/CD90 axis in iCCA in vitro models.
Crenigacestat inhibits tumor progression in CD90-positive xenograft models
To further demonstrate the effectiveness of Crenigacestat on iCCA expressing CD90, we used two complementary xenograft models built using the engineered iCCA cells with loss or gain of CD90 expression. First, stable KKU-M213 scramble-shRNA and KKU-M213 THY1/CD90-shRNA cells were engrafted in CD-1 nude mice. Then, after preliminary experiments to determine the growth curve, mice were treated 13 days after engraftment, when the tumor masses were sure to have grown, with vehicle or Crenigacestat at 8 mg/Kg (twice a week) for four weeks, monitoring the tumor growth twice a week.
KKU-M213 scramble shRNA tumors (constitutively expressing high levels of CD90) treated with vehicle grew faster than other experimental groups. However, Crenigacestat significantly (p < 0.001) inhibited the growth of KKU-M213 scramble shRNA tumors (expressing constitutively high levels of CD90) but not the growth of KKU-M213 THY1/CD90-shRNA. In controls, the vehicle did not affect the tumoral growth in either of the groups (Fig. 8A).
In a complementary mirrored experiment, HuCCT1 empty vector and HuCCT1 THY1 + + cells were engrafted in CD1 mice and treated with vehicle or Crenigacestat under the above described experimental conditions, after preliminary curve growth experiments. Consistently with the previous experiments, tumors originating from HuCCT1 THY1 + + cells (constitutively expressing low levels of CD90 and therefore transfected for CD90 overexpression) treated with vehicle showed the most aggressive phenotype. Moreover, Crenigacestat significantly (p < 0.01) reduced the growth of the HuCCT1 THY1 + + tumors, whereas it did not affect the growth of the HuCCT1 empty vector. In controls, the vehicle had no effect in either of the mice groups (Fig. 8B).
In conclusion, the combination of both experimental models demonstrates that iCCA tumors expressing CD90 display a more aggressive phenotype, and Crenigacestat inhibits the growth of tumors expressing high levels of CD90.
CD90 affects iCCA progression by regulating the AKT signaling
To identify the downstream targets implicated in inhibiting tumor progression of xenograft models CD90 positive after Crenigacestat treatment, we used a commercially PCR array with 40 genes involved in the AKT signaling, frequently coactivated with NOTCH signaling in human iCCA [18,19,20].
In the KKU-M213_scramble shRNA tumors (constitutively expressing high levels of CD90) treated with vehicle or Crenigacestat, we found 11 genes significantly downregulated (≤ -1.5-fold change) in treated mice compared to vehicle (Supplementary Table 1). Complementarily, in tumors originating from HuCCT1_CD90 + + cells (transfected to overexpress CD90), treated with vehicle or Crenigacestat, we found 27 genes significantly downregulated (≤ -1.5-fold change) in treated mice compared to vehicle (Supplementary Table 2). Then, we focused our attention on genes commonly modulated in both models. The Venn diagram revealed 9 common genes in the two models (Fig. 8C). Crenigacestat treatment reduced the expression of these genes when compared with their corresponding vehicle group (Fig. 8D).
As expected, Ingenuity pathway analysis (IPA) on these genes revealed that the PI3K/AKT signaling pathway was at the top of the significant pathways (Supplementary Fig. 1A). Moreover, the networks generated from the 9 genes were 2 and (Supplementary Fig. 1B-C), in both networks, downregulated genes were strongly interconnected and involved in cell proliferation and cancer.
According to bioinformatics and gene expression analyses, we performed immunohistochemistry to detect AKT and pAKT expression in CD90 positive xenograft tumors treated with vehicle or Crenigacestat. The levels of AKT and pAKT were strongly (66,99%, p < 0.001) and moderately (48,55%, p < 0.001) reduced by Crenigacestat treatment, respectively, in HuCCT1_THY1 + + (Fig. 8E) and KKU-M213_scramble shRNA (Fig. 8F) xenograft tumors compared to vehicle.
Overall, we believe that the improvement response to Crenigacestat treatment in CD90 positive cells could be at least partly due to the inhibition of AKT signaling.
Prognostic role of the NOTCH1/HES1/CD90 axis in iCCA patients
The analysis of RNA sequencing expression data on 31 iCCA patients' tissues and matched surrounding normal liver tissues from the GEO database (GSE107943)  showed that THY1 mRNA levels were significantly higher in tumors compared to adjacent non-neoplastic tissues (p = 1.28*10–7) (Supplementary Fig. 2). In our population of 44 iCCA patients, for which clinicopathological data were available, with a mean age of 66.36 years, the gender distribution was 61% (n = 27) males and 39% (n = 17) females; 41% (n = 18) of the patients had evidence of cirrhosis, and in just 18% (n = 8), tumor size was greater than 5 cm. Moreover, 50% (n = 19) and 18% (n = 8) of patients had lymph nodes and lung metastasis, respectively, as reported in Supplementary Table 3. To test differences in the concentration of each biomarker between the tumor tissue and the surrounding area, we plotted the median distribution differences (and their interquartile ranges) of NOTCH1, HES1, and THY1 in those areas in the whole population. The plots showed a statistically significant (p < 0.05) higher expression of each biomarker in the tumoral than in the peritumoral tissues (Fig. 9A). In addition, to assess the association between each biomarker present in the tumor tissue, we ran Pearson correlation analysis (Fig. 9B), demonstrating a positive, statistically significant association between any combination of them (p < 0.01) in the whole sample collection.
Finally, we investigated the prognostic power of NOTCH1, HES1, and THY1, alone or in combination, on iCCA patients' survival in months. As reported in Fig. 9C, Kaplan Meier survival analysis demonstrated that patients with NOTCH1/HES1/THY1 expressions above the median values had worse survival than patients with values below the median (log-rank p < 0.05). In addition, survival was significantly shorter in months when considering the presence of each biomarker above the median (mean 17.5 ± 10.28, p < 0.05) than in patients without this condition (mean 30.36 ± 12.91). In conclusion, the presence of the NOTCH1/HES1/THY1 axis defines a subset of iCCA patients (27%) with a more aggressive tumoral phenotype and a worse prognosis.
The minimal effectiveness of currently used chemotherapy and fast growth make iCCA a very deadly cancer. The poor knowledge of the molecular mechanisms regulating tumor-host interactions hampers the development of target-oriented therapies. In this study, for the first time, we show that CD90 is directly modulated by NOTCH and that a NOTCH1 γ-secretase inhibitor effectively reduces the progression of iCCA expressing high levels of CD90. We based this conclusion on the following data: 1) silencing of NOTCH1 leads to a substantial reduction of THY1 in iCCA cells constitutively expressing high levels of CD90; 2) inhibiting the NOTCH pathway by transient overexpression of the dominant-negative form of the RBPJ transcription factor, triggers a significant reduction of THY1 mRNA levels; 3) in a xenograft model, Crenigacestat inhibits tumoral growth of KKU-M213 iCCA cells constitutively expressing high levels of CD90 but is not effective on the same cells after CD90 knockdown; 4) in a second xenograft model, Crenigacestat inhibits tumor growth of CD90-transfected HuCCT1 iCCA cells, but is not effective on the control cells constitutively expressing low levels of CD90.
Our results demonstrate that THY1 is regulated by the NOTCH pathway and not vice versa, as described in K. Wu et al.  described in gastric cancer. In addition, as reported in several studies, DNA-binding protein RBPJ is a downstream transcription factor that occupies consensus DNA-binding sites while exchanging repressors for activators in response to NICD [23,24,25,26]. In our work, inhibition of the NOTCH pathway by dnRBPJ overexpression decreased THY1 mRNA levels. Specifically, RBPJ is recruited to the THY1 gene promoter via two RBPJ binding sites separated by spacer sequences of 15–17 base pairs (bp), enabling cooperative binding of NOTCH transcription complex dimers. Thus, the present data indicate that THY1 expression is downstream of the NOTCH1 pathway. Similarly, K. Wu and colleagues reported in their work that upregulation of miR-140-5p inhibits the NOTCH signaling pathway and consequently reduces THY1 expression in gastric cancer . THY1/CD90 has been suggested as a microenvironment sensor in different cancers, including lung and glioblastoma [27, 28]. In HCC, CD45-CD90 + cells but not CD90 − cells isolated from blood and human tumor tissues generate tumor nodules in Beige/SCID mice. The authors subsequently demonstrated that the additional stem cell marker CD44 on the CD90+ cells contributed to greater aggression and metastasis of HCC subpopulations of CSCs . Moreover, we demonstrated that the response to a NOTCH1 γ-secretase inhibitor treatment in CD90 positive cells could be mediated by the AKT signaling, specifically through AKT suppression. Indeed, NOTCH/AKT cross-regulation is crucial during iCCA development, achieved by hydrodynamic injection into the liver of an activated form of AKT in association with JAGGED1 or NOTCH1 [18, 19]. Herein, we demonstrate that Crenigacestat effectiveness in CD90 positive cells could be mediated by AKT signaling, in agreement with the study by Gao et al., in which the authors showed that CD90 affects biological behavior and levels of energy metabolism of gastric cancer cells through activation of the PI3K/AKT/HIF-1α signaling pathway.
In iCCA patients, CD90 has been reported in human surgical samples and correlated with lymph nodes metastasis, indicating poor prognosis . In a GEO database cohort, as well as in our collection of iCCA human tissue samples, THY1 is more strongly expressed in tumoral compared to adjacent non-tumorous tissues. Herein, in a cohort of 44 patients, we demonstrate that NOTCH1, HES1, and THY1 mRNA levels are positively correlated and are more pronouncedly expressed in tumoral than in peritumoral tissue. In this context, the Kaplan Meier survival analysis of human iCCA tumors indicated that patients with high NOTCH1, HES1, and THY1 expression have the worst prognosis. Our findings are concordant with an increasing body of evidence strongly suggesting that the NOTCH signaling pathway is a prominent driver of CCA progression and poor prognosis [19, 30, 31]. However, the importance of THY1 expression in human cancers is controversial. Indeed, except for human ovarian cancer and nasopharyngeal carcinoma, where CD90 seems to play a tumor suppressor role [32, 33], several works reported that CD90 overexpression in the tumor microenvironment enhances proliferation and metastasis, conferring the poorest outcome [10, 34,35,36]. Particularly, THY1 is highly expressed in cancer stem cells of gastric cancer, differentiated acute myeloid leukemia (AML) subtypes, lymph nodes metastasis in esophageal squamous carcinoma cells and also contributes to poor survival in HCC . Here, we found an intriguing relationship between NOTCH signaling and THY1, closely associated with poor prognosis in patients with iCCA. According to the Luo et al. study, NOTCH1 signaling activated by JAGGED1 is positively related to CD90 + HCC CSCs with a rapid G1/S transition in the cell cycle phase . Additionally, our results demonstrated that CD90 hallmarks a group of iCCA with a more aggressive phenotype responsive to Crenigacestat treatment. In this scenario, soluble THY1 has been detected in serum, cerebrospinal fluid, wound fluid, urine, and cerebrospinal fluid under normal and pathological conditions [38,39,40,41]. Our data suggest the measurement of THY1 in the bile fluid as a potential biomarker to select patients suitable for Crenigacestat treatment in future clinical trials. The identification of predictive biomarkers of response or survival such as NOTCH1, HES1, and CD90 offers hope to patients with iCCA eligible for and likely to benefit from Crenigacestat therapy. Offering a chance to take a step toward a molecular classification of iCCA, it has been recently reported that approximately 8% of the patients carry fibroblast growth factor receptor-2 alterations and display a response rate higher than 35% to treatment with selective inhibitors . Another 14% of the patients have isocitrate dehydrogenase gene alterations, and treatment with their inhibitors improved survival . Finally, it has been reported that approximately 30–40% of the patients show a higher expression of VEGF, associated with the worst prognosis , while herein we report that 27% of the patients have higher levels of the NOTCH1/HES1/THY1 axis, correlated with shorter survival.
Overall, our results highlight that patients with higher NOTCH1/HES1/CD90 expression have the worst prognosis and shorter survival. Nevertheless, in preclinical experimental models, this newly identified axis is successfully druggable with a NOTCH γ-secretase inhibitor, suggesting CD90 as a promising molecular target for treatment in a subset of patients with this disease.
To our knowledge, this is the first demonstrated evidence for a molecular stratification of iCCA predicting clinical outcomes. The successful use of the NOTCH1 γ-secretase inhibitor in preclinical models represents the scientific rationale for using this molecule in future clinical trials. In addition, this study takes the first step toward personalized medicine for patients currently lacking effective treatments.
Availability of data and materials
All data generated or analysed during this study are included in this manuscript [and its supplementary information files].
Cancer associated fibroblasts
Cancer stem cells
Dominant negative form of RBPJ
Multiplicity of Infection
NOTCH Intracellular Domain
Recombination signal-Binding Protein for the immunoglobulin Kappa J region
Small interfering RNAs
Thymus cell antigen 1
Banales JM, Marin JJG, Lamarca A, Rodrigues PM, Khan SA, Roberts LR, et al. Cholangiocarcinoma 2020: the next horizon in mechanisms and management. Nat Rev Gastroenterol Hepatol [Internet]. 2020;17:557–88. Available from: http://www.nature.com/articles/s41575-020-0310-z
Cai Z, He C, Zhao C, Lin X. Survival Comparisons of Hepatic Arterial Infusion Chemotherapy With mFOLFOX and Transarterial Chemoembolization in Patients With Unresectable Intrahepatic Cholangiocarcinoma. Front Oncol [Internet]. 2021;11. Available from: https://www.frontiersin.org/articles/https://doi.org/10.3389/fonc.2021.611118/full
Tawarungruang C, Khuntikeo N, Chamadol N, Laopaiboon V, Thuanman J, Thinkhamrop K, et al. Survival after surgery among patients with cholangiocarcinoma in Northeast Thailand according to anatomical and morphological classification. BMC Cancer. 2021;21:497. https://doi.org/10.1186/s12885-021-08247-z.
El-Diwany R, Pawlik TM, Ejaz A. Intrahepatic Cholangiocarcinoma. Surg Oncol Clin N Am. 2019;28:587–99. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1055320719300444.
Rege TA, Hagood JS. Thy-1 as a regulator of cell-cell and cell-matrix interactions in axon regeneration, apoptosis adhesion migration cancer and fibrosis. FASEB J. 2006;20:1045–54. https://doi.org/10.1096/fj.05-5460rev.
Saalbach A, Wetzel A, Haustein U-F, Sticherling M, Simon JC, Anderegg U. Interaction of human Thy-1 (CD 90) with the integrin αvβ3 (CD51/CD61): an important mechanism mediating melanoma cell adhesion to activated endothelium. Oncogene. 2005;24:4710–20. Available from: http://www.nature.com/articles/1208559.
Connor EV, Saygin C, Braley C, Wiechert AC, Karunanithi S, Crean-Tate K, et al. Thy-1 predicts poor prognosis and is associated with self-renewal in ovarian cancer. J Ovarian Res. 2019;12:112. Available from: https://ovarianresearch.biomedcentral.com/articles/10.1186/s13048-019-0590-5.
Lingala S, Cui Y-Y, Chen X, Ruebner BH, Qian X-F, Zern MA, et al. Immunohistochemical staining of cancer stem cell markers in hepatocellular carcinoma. Exp Mol Pathol. 2010;89:27–35. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0014480010000705.
Lu J-W, Chang J-G, Yeh K-T, Chen R-M, Tsai JJP, Hu R-M. Overexpression of Thy1/CD90 in human hepatocellular carcinoma is associated with HBV infection and poor prognosis. Acta Histochem. 2011;113:833–8. Available from:https://linkinghub.elsevier.com/retrieve/pii/S006512811100002X.
Yamaoka R, Ishii T, Kawai T, Yasuchika K, Miyauchi Y, Kojima H, et al. CD90 expression in human intrahepatic cholangiocarcinoma is associated with lymph node metastasis and poor prognosis. J Surg Oncol. 2018;118:664–74. https://doi.org/10.1002/jso.25192.
Mancarella S, Serino G, Dituri F, Cigliano A, Ribback S, Wang J, et al. Crenigacestat, a selective NOTCH1 inhibitor, reduces intrahepatic cholangiocarcinoma progression by blocking VEGFA/DLL4/MMP13 axis. Cell Death Differ [Internet]. 2020; Available from: http://www.nature.com/articles/s41418-020-0505-4
Zong Y, Panikkar A, Xu J, Antoniou A, Raynaud P, Lemaigre F, et al. Notch signaling controls liver development by regulating biliary differentiation. Development. 2009;136:1727–39. Available from: https://journals.biologists.com/dev/article/136/10/1727/43711/Notch-signaling-controls-liver-development-by.
Guest RV, Boulter L, Dwyer BJ, Kendall TJ, Man T-Y, Minnis-Lyons SE, et al. Notch3 drives development and progression of cholangiocarcinoma. Proc Natl Acad Sci. 2016;113:12250–5. https://doi.org/10.1073/pnas.1600067113.
Fouassier L, Marzioni M, Afonso MB, Dooley S, Gaston K, Giannelli G, et al. Signalling networks in cholangiocarcinoma: Molecular pathogenesis, targeted therapies and drug resistance. Liver Int. 2019;39:43–62. https://doi.org/10.1111/liv.14102.
Che L, Fan B, Pilo MG, Xu Z, Liu Y, Cigliano A, et al. Jagged 1 is a major Notch ligand along cholangiocarcinoma development in mice and humans. Oncogenesis [Internet]. 2016;5:e274–e274. Available from: http://www.nature.com/articles/oncsis201673
Dreos R, Ambrosini G, Cavin Périer R, Bucher P. EPD and EPDnew, high-quality promoter resources in the next-generation sequencing era. Nucleic Acids Res [Internet]. 2013;41:D157–64. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23193273
Kato H, Taniguchi Y, Kurooka H, Minoguchi S, Sakai T, Nomura-Okazaki S, et al. Involvement of RBP-J in biological functions of mouse Notch1 and its derivatives. Development. 1997;124:4133–41 https://journals.biologists.com/dev/article/124/20/4133/39518/Involvement-of-RBP-J-in-biological-functions-of.
Wang J, Dong M, Xu Z, Song X, Zhang S, Qiao Y, et al. Notch2 controls hepatocyte-derived cholangiocarcinoma formation in mice. Oncogene. 2018;37:3229–42 http://www.nature.com/articles/s41388-018-0188-1.
Fan B, Malato Y, Calvisi DF, Naqvi S, Razumilava N, Ribback S, et al. Cholangiocarcinomas can originate from hepatocytes in mice. J Clin Invest [Internet]. 2012;122:2911–5. Available from: http://www.jci.org/articles/view/63212
Gao L, Li J, He J, Liang L, He Z, Yue C, et al. CD90 affects the biological behavior and energy metabolism level of gastric cancer cells by targeting the PI3K/AKT/HIF-1α signaling pathway. Oncol Lett. 2021;21:191. https://doi.org/10.3892/ol.2021.12451.
Ahn KS, O’Brien D, Kang YN, Mounajjed T, Kim YH, Kim T-S, et al. Prognostic subclass of intrahepatic cholangiocarcinoma by integrative molecular–clinical analysis and potential targeted approach. Hepatol Int. 2019;13:490–500. https://doi.org/10.1007/s12072-019-09954-3.
Wu K, Zou J, Lin C, Jie Z-G. MicroRNA-140-5p inhibits cell proliferation, migration and promotes cell apoptosis in gastric cancer through the negative regulation of THY1-mediated Notch signaling. Biosci Rep [Internet]. 2019;39. Available from: https://portlandpress.com/bioscirep/article/doi/10.1042/BSR20181434/219283/MicroRNA1405p-inhibits-cell-proliferation
Lake RJ, Tsai P-F, Choi I, Won K-J, Fan H-Y. RBPJ, the Major Transcriptional Effector of Notch Signaling, Remains Associated with Chromatin throughout Mitosis, Suggesting a Role in Mitotic Bookmarking. Fortini M, editor. PLoS Genet [Internet]. 2014;10:e1004204. Available from: https://dx.plos.org/https://doi.org/10.1371/journal.pgen.1004204
Yuan Z, VanderWielen BD, Giaimo BD, Pan L, Collins CE, Turkiewicz A, et al. Structural and Functional Studies of the RBPJ-SHARP Complex Reveal a Conserved Corepressor Binding Site. Cell Rep. 2019;26:845-854.e6. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2211124718320576.
Wang H, Zang C, Taing L, Arnett KL, Wong YJ, Pear WS, et al. NOTCH1-RBPJ complexes drive target gene expression through dynamic interactions with superenhancers. Proc Natl Acad Sci. 2014;111:705–10. https://doi.org/10.1073/pnas.1315023111.
Severson E, Arnett KL, Wang H, Zang C, Taing L, Liu H, et al. Genome-wide identification and characterization of Notch transcription complex–binding sequence-paired sites in leukemia cells. Sci Signal [Internet]. 2017;10:eaag1598. Available from: https://stke.sciencemag.org/lookup/doi/https://doi.org/10.1126/scisignal.aag1598
Chen L, Tang R-Z, Ruan J, Zhu X-B, Yang Y. Up-regulation of THY1 attenuates interstitial pulmonary fibrosis and promotes lung fibroblast apoptosis during acute interstitial pneumonia by blockade of the WNT signaling pathway. Cell Cycle. 2019;18:670–81. https://doi.org/10.1080/15384101.2019.1578144.
Parry P V., Engh JA. CD90 is Identified as a Marker for Cancer Stem Cells in High-Grade Gliomas Using Tissue Microarrays. Neurosurgery [Internet]. 2012;70:N23–4. Available from: https://academic.oup.com/neurosurgery/article-lookup/doi/https://doi.org/10.1227/01.neu.0000413227.80467.92
Yang ZF, Ho DW, Ng MN, Lau CK, Yu WC, Ngai P, et al. Significance of CD90+ Cancer Stem Cells in Human Liver Cancer. Cancer Cell [Internet]. 2008;13:153–66. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1535610808000093
Rauff B, Malik A, Bhatti YA, Chudhary SA, Qadri I, Rafiq S. Notch signalling pathway in development of cholangiocarcinoma. World J Gastrointest Oncol. 2020;12:957–74. Available from: https://www.wjgnet.com/1948-5204/full/v12/i9/957.htm.
Geisler F, Strazzabosco M. Emerging roles of Notch signaling in liver disease. Hepatology. 2015;61:382–92. https://doi.org/10.1002/hep.27268.
Abeysinghe HR, Cao Q, Xu J, Pollock S, Veyberman Y, Guckert NL, et al. THY1 expression is associated with tumor suppression of human ovarian cancer. Cancer Genet Cytogenet. 2003;143:125–32. Available from: http://www.ncbi.nlm.nih.gov/pubmed/12781446.
Yang G, Chao K, Li X, Rao H, Deng H, Wu H, et al. [Significance of expression of THY1 protein in epithelial ovarian cancer]. Zhonghua Zhong Liu Za Zhi [Internet]. 2009;31:203–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19615261
Chen W-C, Chang Y-S, Hsu H-P, Yen M-C, Huang H-L, Cho C-Y, et al. Therapeutics targeting CD90-integrin-AMPK-CD133 signal axis in liver cancer. Oncotarget. 2015;6:42923–37. https://doi.org/10.18632/oncotarget.5976.
Lobba ARM, Forni MF, Carreira ACO, Sogayar MC. Differential expression of CD90 and CD14 stem cell markers in malignant breast cancer cell lines. Cytom Part A. 2012;81A:1084–91. https://doi.org/10.1002/cyto.a.22220.
Zhang K, Che S, Pan C, Su Z, Zheng S, Yang S, et al. The <scp>SHH</scp> /Gli axis regulates <scp>CD</scp> 90‐mediated liver cancer stem cell function by activating the <scp>IL</scp> 6/ <scp>JAK</scp> 2 pathway. J Cell Mol Med [Internet]. 2018;22:3679–90. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1111/jcmm.13651
Luo J, Wang P, Wang R, Wang J, Liu M, Xiong S, et al. The Notch pathway promotes the cancer stem cell characteristics of CD90+ cells in hepatocellular carcinoma. Oncotarget. 2016;7:9525–37. https://doi.org/10.18632/oncotarget.6672.
Kollert F, Christoph S, Probst C, Budweiser S, Bannert B, Binder M, et al. Soluble CD90 as a potential marker of pulmonary involvement in systemic sclerosis. Arthritis Care Res (Hoboken) [Internet]. 2013;65:281–7. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1002/acr.21799
Saalbach A, Wetzig T, Haustein UF, Anderegg U. Detection of human soluble Thy-1 in serum by ELISA. Cell Tissue Res. 1999;298:307–15. https://doi.org/10.1007/s004419900079.
Almqvist P, Carlsson SR. Characterization of a hydrophilic form of Thy-1 purified from human cerebrospinal fluid. J Biol Chem. 1988;263:12709–15. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2900838.
True LD, Zhang H, Ye M, Huang C-Y, Nelson PS, von Haller PD, et al. CD90/THY1 is overexpressed in prostate cancer-associated fibroblasts and could serve as a cancer biomarker. Mod Pathol [Internet]. 2010;23:1346–56. Available from: http://www.nature.com/articles/modpathol2010122
Abou-Alfa GK, Sahai V, Hollebecque A, Vaccaro G, Melisi D, Al-Rajabi R, et al. Pemigatinib for previously treated, locally advanced or metastatic cholangiocarcinoma: a multicentre, open-label, phase 2 study. Lancet Oncol. 2020;21:671–84. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1470204520301091.
Lamarca A, Barriuso J, McNamara MG, Valle JW. Molecular targeted therapies: Ready for “prime time” in biliary tract cancer. J Hepatol. 2020;73:170–85. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0168827820301653.
Walter D, Hartmann S, Waidmann O. Update on cholangiocarcinoma: potential impact of genomic studies on clinical management. Z Gastroenterol. 2017;55:575–81. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28376540.
The authors are grateful to Mary V.C. Pragnell, B.A., for English revision and Rodolfo Sardone for statistical analysis.
This study was supported by AIRC grant number IG 2020 ID 24815 to GG.
Ethics approval and consent to participate
The animal experiments were approved by the Ethics Committee (Prot. N. 20/2017, date of release 10/06/2017) and conducted at the Biogem Animal House in Ariano Irpino (Avellino, Italy) following the Guide for the Care and Use of Laboratory Animals.
Human iCCA samples were collected at the Medical Universities of Greifswald (Greifswald, Germany) and Regensburg (Regensburg, Germany). Institutional Review Board approval was provided by the local Ethical Committees of the Medical University of Greifswald and Regensburg (approval # BB 67/10 and 17–1015-101, respectively) in compliance with the Helsinki Declaration. Informed consent was obtained from all individuals. Demographic and clinicopathological characteristics of patients are summarized in Supplementary Table 3.
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Mancarella, S., Serino, G., Gigante, I. et al. CD90 is regulated by notch1 and hallmarks a more aggressive intrahepatic cholangiocarcinoma phenotype. J Exp Clin Cancer Res 41, 65 (2022). https://doi.org/10.1186/s13046-022-02283-8
- Intrahepatic Cholangiocarcinoma
- NOTCH pathway inhibition
- Xenograft models