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Anti-cancer effect and gene modulation of ET-743 in human biliary tract carcinoma preclinical models

Abstract

Background

Standard chemotherapy in unresectable biliary tract carcinoma (BTC) patients is based on gemcitabine combined with platinum derivatives. However, primary or acquired resistance is inevitable and no second-line chemotherapy is demonstrated to be effective. Thus, there is an urgent need to identify new alternative (chemo)therapy approaches.

Methods

We evaluated the mechanism of action of ET-743 in preclinical models of BTC. Six BTC cell lines (TFK-1, EGI-1, TGBC1, WITT, KMCH, HuH28), two primary cell cultures derived from BTC patients, the EGI-1 and a new established BTC patient-derived xenografts, were used as preclinical models to investigate the anti-tumor activity of ET-743 in vitro and in vivo. Gene expression profiling was also analyzed upon ET-743 treatment in in vivo models.

Results

We found that ET-743 inhibited cell growth of BTC cell lines and primary cultures (IC50 ranging from 0.37 to 3.08 nM) preferentially inducing apoptosis and activation of the complex DNA damage-repair proteins (p-ATM, p-p53 and p-Histone H2A.x) in vitro. In EGI-1 and patient-derived xenografts, ET-743 induced tumor growth delay and reduction of vasculogenesis. In vivo ET-743 induced a deregulation of genes involved in cell adhesion, stress-related response, and in pathways involved in cholangiocarcinogenesis, such as the IL-6, Sonic Hedgehog and Wnt signaling pathways.

Conclusions

These results suggest that ET-743 could represent an alternative chemotherapy for BTC treatment and encourage the development of clinical trials in BTC patients resistant to standard chemotherapy.

Peer Review reports

Background

Biliary tract carcinoma (BTC) is a particularly lethal malignancy arising from the ductal epithelium of the biliary tree, either within the liver or from the extrahepatic bile ducts [1]. Most patients with BTC are diagnosed at advanced stages, and have a life expectancy of <12Ā months [2].

Chemotherapy is commonly used to improve patientsā€™ outcome and to control tumor progression. Different chemotherapeutic agents have been employed [3]; few randomized trials have established the combination of gemcitabine (GEM) and platinum compounds to be the standard of therapy for unresectable BTC patients [4ā€“6]. In these studies, overall survival (OS) in the GEM and platinum combination arm was of about 11Ā months. These studies, therefore, demonstrated that there are very limited possibilities for prolonging survival of BTC patients, and that it is crucial to find novel therapeutic strategies for the treatment of BTC patients.

Ecteinascidin-743 (ET-743), a compound isolated from the marine tunicate Ecteinascidia turbinata[7, 8] with a potent cytotoxic activity against a variety of tumors in vitro and in vivo[9, 10], has been approved for treatment of soft-tissue sarcoma and ovarian cancer [11, 12]. Its mechanism of action is linked to binding to the minor groove of DNA and to a variety of modulatory effects on the tumor microenvironment, including changes in the production of several inflammatory mediators like the chemokines CCL2 and CXCL8, the cytokine IL-6 and the angiogenic factor VEGF [13]. Chronic inflammation contributes to cancerogenesis and disease progression in different types of solid tumors [14, 15]. Tumor-associated macrophages (TAMs) represent the major class of immune cells within the tumor microenvironment [16] and have been shown to promote tumor proliferation, increase invasiveness and mitigate T cell-mediated cytotoxic antitumor responses [17ā€“19]. They are regarded as potential targets in anticancer therapies and, in this context, ET-743 may represent a suitable tool to overcome myelomonocytic cell-mediated exacerbation of the malignant phenotype and immune suppression [20]. In BTC the presence of TAM has been documented and correlated with a worse prognosis [21] but there are no preclinical data of ET-743 activity in BTC. Literature reports only the anecdotal case of a BTC patient involved in a phase I study who experienced a complete metabolic response with ET-743 [22].

Here, we investigated the potential anti-tumor activity of ET-743 and its effect on gene expression profiling in human preclinical models of BTC.

Methods

Cell lines and patients

The extrahepatic cholangiocarcinoma (ECC) cell lines TFK-1 and EGI-1, the intrahepatic cholangiocarcinoma (ICC) cell line HuH28 and the gallbladder carcinoma (GBC) cell line TGBC1 (Cell Bank, RIKEN Bioresource Center Riken Cell Bank, Japan) were cultured in RPMI 1640 containing 10% fetal bovine serum (FBS) (all from Sigmaā€“Aldrich, St. Louis, MO, USA), 100 U/mL penicillin and 100Ā Ī¼g/mL streptomycin (P/S) (Life Technologies Gathersburg, MD). The ECC WITT cells and the ICC mixed to hepatocarcinoma KMCH cells (provided by Dr. Andersen, Laboratory of Experimental Carcinogenesis, National Institutes of Health, Bethesda, Maryland), were cultured in DMEM (Sigmaā€“Aldrich) plus 10% FBS. The authentication of all the cell lines was performed by using Cell_ID system (Promega, Corporation, Madison, WI, USA) comparing their profiles with those published on the DMSZ database. Human endothelial cells Huvec were cultured on gelatin-coated plastic, in Medium 199 plus 20% FBS, added of P/S, 50Ā Ī¼g/ml of heparin (Sigmaā€“Aldrich,) and 100Ā Ī¼g/ml of bovine brain extract (Sigmaā€“Aldrich).

Primary cell cultures were isolated from peritoneal liquid obtained by paracentesis procedure from two patients with ICC. They received the combination of gemcitabine and oxaliplatin and progressed after 5 and 2Ā months, respectively. Only CK7/19 positive cells were cultured in KODMEM/F12 (Life Technologies) plus 10% FBS.

Biological material for the set-up of primary cell cultures and patient derived xenograft (PDX or xenopatient) protocol were obtained from ICC patients who have signed the informed consent, following institutional review board-approved protocols ā€œPROFILING Protocol, nĀ° 001-IRCC-00 IIS-10ā€ approved by Comitato Etico Interaziendale of A.O.U. San Luigi Gonzaga, Orbassano, Torino, Italy). This institutional study provides molecular genetic analysis, set up of primary cultures and the creation of PDX from tumor biological samples (primary tumor, metastasis, tumor cells taken under paracentesis or thoracentesis procedures, and blood) from patients with colorectal cancer, prostate cancer, head and neck cancer, primary tumors of the stomach, primary tumors of the liver and biliary tract, glioblastoma, ovarian or primary tumors with metastases, primary tumors of the lung, primary tumors of the breast, rare cancers defined by incidenceā€‰ā‰¤ā€‰5Ɨ106, sarcomas and metastatic melanomas.

Drugs

ET-743 from PharmaMar (Pharma Mar, S.A., Madrid, Spain) was dissolved in PBS at 1.3Ā mM for in vivo experiments, and at a concentration of 1Ā Ī¼M in dimethyl sulfoxide (DMSO) (Sigma-Aldrich) for in vitro experiments, and stored at -20Ā°C. For in vitro experiments, 0.001% DMSO was added to ET-743-untreated cells.

Cell growth assay

Cells (3000/well) were seeded onto 96-well tissue culture plates; after 24Ā hours they were treated with escalating doses of ET-743 (0.078-10 nM) in appropriate culture medium added of 10% FBS for another 72Ā hours. Cell growth was evaluated with the Cell Titer-GloĀ® cell viability assay (Promega). All tests were performed in quadruplicate and repeated in three independent experiments. IC50 values, dose of drug that inhibits 50% of the cell growth compared with control calculated for each cell line after 72Ā hours of drug treatment, was calculated using the CalcuSyn software, based on the Chou-Talalay method.

DNA content and apoptosis analysis

To determine the cell cycle status, 1Ɨ106 cells/well were seeded onto six-well tissue culture plates for 24Ā hours, and then treated with 5 nM ET-743 for an additional 48Ā hours. Cells were then fixed in 70% ethanol at -20Ā°C for 16Ā hours followed by washing in PBS, resuspended in staining solution (50Ā Ī¼g/ml Propidium Iodide, PI +100Ā Ī¼g/ml RNaseA in PBS) (Sigmaā€“Aldrich) and overnight incubated at 4Ā°C. For apoptosis analysis, 1ā€‰Ć—ā€‰105 cells were washed in Binding Buffer (0.01Ā M Hepes, 0.15Ā M NaCl, 5Ā mM CaCl2), stained with allophycocyanin (APC) conjugated AnnexinV/PI (Bender MedSystems Wein, Austria) and incubated for 15Ā minutes at room temperature. DNA content and apoptosis level were determined by flow cytometry using Cyan and Summit Research Software (Dako, Glostrup, Denmark). Three independent experiments were performed.

Western blot

Cells were lysed in boiling buffer (10% SDS, 0.5Ā M Trisā€“HCl pHĀ 6.8) and centrifuged at 20,000Ɨg for 30Ā minutes; 20Ā Ī¼g of protein were separated on 7.5-15% SDS-PAGE and transferred onto 0.45-Ī¼m nitrocellulose membranes (GE Healthcare Europe, Milan, Italy). Blots were stained using standard procedures and signals were revealed by a chemiluminescence reagent (Euroclone, Milan, Italy). Horseradish peroxidase (HRP)-linked secondary antibodies, anti-phospho-Ataxia Telengectasia (Ser 1981) (ATM), anti-ATM, anti-phospho-p53, anti-p53 and anti-vinculin were from Cell Signaling Technology (Beverly, USA); anti-phospho-Histone H2A.x (Ser 139) was from Millipore (Temecula, CA) and anti-Histone H2A.x was from GeneTex (San Antonio, Texas). Three independent experiments were performed.

Antitumor activity of ET-743 in in vivomodels of BTC

We investigated the antitumor activity of ET-743 in preclinical in vivo models of BTC. For in vivo studies, NOD (Non-Obese Diabetic)/Shi-SCID (severe combined immunodeficient) female mice (4ā€“6 weeks old) (Charles River Laboratory) were maintained under sterile conditions in micro-isolator cages at the animal facilities of the IRCCS-Candiolo. All animal procedures were approved by the Institutional Ethical Committee for Animal Experimentation (Fondazione Piemontese per la Ricerca sul Cancro) and by the Italian Ministry of Health.

In three independent experiments, 14 mice, either in EGI-1-xenograft (5Ɨ106 cells/mouse subcutaneously injected), or an ICC patient derived xenograft model [23], here named CHC001PDX, were randomized to receive intra venous (i.v.) weekly 0.15Ā mg/Kg ET-743 [24ā€“26] or drug vehicle (PBS) for 3Ā weeks (7 mice for arm of treatment). Tumor size was measured weekly. Volumes were calculated using the formula Vā€‰=ā€‰AxB2/2 (Vā€‰=ā€‰tumor volume, Aā€‰=ā€‰largest diameter; Bā€‰=ā€‰smallest diameter). Mean volumes of treated and untreated xenografts were compared by two-way Anova, considering a p-value <0.05 (C.I. 95%) as statistically significant. Tumors were formalin-fixed, paraffin-embedded (FFPE) for immunohistochemical evaluations.

Immunohistochemistry on BTC in vivomodels

For the evaluation of ET-743 effects on tumor xenografts, tissue sections were stained with anti-Ki67/MIB1 (Dako) and anti-CD31 (BD) antibodies, followed by incubation with secondary antibody (Invitrogen). Ki67 expression was evaluated in 10 fields for each section at 40x by ImageJ; CD31 quantification was performed on 10 z-stack images for each slide at 20Ɨ magnification by calculating the positively stained vessel area. Expression values of treated and untreated xenografts were compared by two tailed unpaired T-test, assuming a p-value <0.05 (C.I. 95%) as statistically significant.

Microarray analysis

For gene expression profiling (GEP), total RNA was extracted by using TissueLyser LT (Qiagen) and then purified by Absolutely RNA miRNA kit (Agilent Technologies), following manufacturersā€™ protocols. Quantitative and qualitative evaluation of total RNA was performed by Nanodrop and BioAnalyzer respectively. For GEP analysis, 100Ā ng of total RNA was amplified and labeled using Low Input Quick Amp Labeling Kit, one-color kit (Agilent Technologies). Six hundred ng of labeled RNA were hybridized on SurePrint G3 Human Gene Expression 8Ɨ60K v2 glass arrays. The experiment was carried out by two technical replicates. Arrays were scanned and images analyzed by the Feature Extraction Software from Agilent Technologies (version 10.7), and raw data were then processed using the Bioconductor package Limma (Linear models for microarray analysis). Background correction was performed with the normexp method with an offset of 50, and quantile was used for the between-array normalization. The empirical Bayes method was used to compute a moderated t-statistics [27]. The threshold for |log FC| of 0.58 and a P value <0.05 was used to identify modulated transcripts. Microarray data were deposited in Gene Expression Omnibus (GSE63043).

Results

ET-743 induces cell cycle perturbation, apoptosis, and activation of proteins involved in DNA damage-repair in biliary tract carcinoma cells in vitro

To investigate the capability of ET-743 to interfere with cell growth, BTC cell lines and primary cultures were treated with escalating doses (0.078-10 nM) of ET-743 for 72Ā hours. As indicated in FigureĀ 1A, all the BTC cells proved to be sensitive to ET-743 treatment, with an IC50 ranging from 0.37 nM for ICP-2 cells to 3.08 nM for ICP-3 cells. Interestingly, the most responsive BTC cells, HuH28 and ICP-2, resulted resistant to gemcitabine (Additional file 1: Table S1) [28]. Cell cycle status changes and induction of apoptosis by ET-743 were also examined on BTC cells after 48Ā hours of treatment. As shown in FigureĀ 1B and in Additional file 2: Figure S1, ET-743 caused a different distribution in cell cycle phases. The common evidence was an increment in the subG0 phase cell fraction, particularly evident in the KMCH cells, indicating that the growth inhibition by ET-743 could be mainly due to the induction of apoptotic cell death. A more specific assay, in fact, indicated that, after 48Ā hours of treatment, ET-743 induced apoptosis in the tested cell lines, as shown in FigureĀ 1C and in Additional file 3: Figure S2. We investigated whether ET-743 was capable of activating the complex DNA damage-repair protein machine. For this purpose, BTC cells were treated for 24Ā hours with 5 nM ET-743 and analyzed for the expression level of p-ATM, p-p53, and p-Histone H2A.x. We observed that phosphorylation of ATM, Histone H2A.x, and p53 was increased upon ET-743 treatment (Additional file 4: Figure S3).

Figure 1
figure 1

Effect of ET-743 on proliferation, cell cycle and apoptosis in vitro . (A) ET-743 inhibits growth in vitro. Cells were treated with escalating doses of ET-743 (0.078-10 nM) for 72Ā hours and cell growth was evaluated by Cell Titer-GloĀ® cell viability assay. IC50 values were calculated using the CalcuSyn software, based on the Chou-Talalay method. ICP-2/3: primary cells derived from two intrahepatic cholangiocarcinoma (ICC) patients. TFK-1, WITT and EGI-1: extrahepatic cholangiocarcinoma cell lines; HuH28 ICC cell line; TGBC1: gallbladder carcinoma cell line; KMCH: ICC mixed with hepatocarcinoma cell line. The histograms represent the mean of IC50 values (bars represent SEM) from three independent experiments. Effect of ET-743 on cell cycle (B) and on apoptosis (C) in vitro. BTC cell lines were treated with 5 nM of ET-743 for 48Ā h and subjected to cell cycle analysis and apoptosis detection by AnnexinV/PI staining by flow cytometry as described in methods. The bars represent the average with SEM of percentage of cells in each phase (B) and apoptotic cells (C) of three independent experiments. NT: no treated cells.

ET-743 reduces tumor growth and angiogenesis in in vivomodels of BTC

The antitumor activity of ET-743 was investigated in BTC preclinical in vivo models, both on EGI-1 xenograft and in CHC001PDX. Each cohort of xenografts was randomized to receive ET-743 (0.15Ā mg/Kg) or drug vehicle (PBS) i.v. weekly for 3Ā weeks following the schedule of treatment of Dā€™Incalci and coll. in other human xenograft models (23). Tumor size was measured weekly until the sacrifice of the animals. One week after the third administration (day 21), a significant delay in tumor growth was observed in CHC001PDX mice treated with ET-743 (pā€‰=ā€‰0.04, FigureĀ 2A). Similar results were obtained in EGI-1 xenografts (pā€‰=ā€‰0.001) (FigureĀ 2B). Tumors harvested from CHC001PDX and EGI-1 xenografts treated with either PBS or ET-743 were subjected to immunohistochemical analysis for Ki67/MIB1 proliferation index detection. A reduction in the number of proliferating cells in treated compared to untreated CHC001PDX mice was revealed (FigureĀ 2C; Ki67: pā€‰=ā€‰0.05). In EGI-1 xenografts, we found a moderate inhibition of proliferation in treated compared to untreated mice (FigureĀ 2D). By contrast, we found a weakly but not significant increase of apoptotic cells in vivo (data not shown).

Figure 2
figure 2

In vivo antitumor activity of ET-743 in human BTC preclinical models. The graphs indicate the mean tumor volume (cm3) weekly measured: 0 (start of treatment), 7, 14, and 21Ā days after treatment with ET-743 (weekly 0.15Ā mg/Kg ET-743 or PBS in mice control cohort) (error bars: SEM). Seven mice for each arm of treatment in three independent experiments were used. One week after the last drug administration, a significant slow of tumor growth was shown in treated mice in both CHC001PDX (A) and EGI-1-xenografts (B). Ki67 staining of section derived from CHC001PDX (C) and EGI-1 xenograft (D) tumors treated with PBS or ET-743 and relative quantification. A statistical significant reduction of Ki67 positive cells was revealed in the ET-743-treated CHC001PDX group.

We observed that ET-743 treated-tumors were macroscopically less vascularized compared with the control cohorts of mice. Thus, we verified the status of tumor vasculature at the microscopic level. Tumor sections from control and ET-743 treated CHC001PDX/EGI-1 xenografts were stained for the endothelial marker CD31. A significant reduction in the number of tumor blood vessels was observed in ET-743-treated mice (FigureĀ 3) (pā€‰<ā€‰0.0001 and pā€‰=ā€‰0.003 for EGI-1-xenograft and CHC001PDX respectively). Further, we evaluated the in vitro effect of drug on human endothelial Huvec cells after 72Ā hours of treatment with ET-743. A potent inhibitory effect on proliferation was revealed, with an IC50 of 0.16 nM, comparable to those found in the most sensitive BTC cells (data not shown).

Figure 3
figure 3

Representative CD31 expression (A) and quantification (B) on EGI-1 xenografts and CHC001PDX upon ET-743 treatment. A. Sections derived from treated and untreated (PBS) EGI-1 xenografts and CHC001PDX were subjected to immunohistochemistry and stained with anti-mouse CD31. B. CD31 quantification was performed on 10 z-stack images for each slide at 20x magnification by calculating the positively stained vessel area.

ET-743 modulates genes involved in cell adhesion processes, in stress response, and pathways involved in cholangiocarcinogenesis

The impact of ET-743 on gene expression was assessed in in vivo models. Upon ET-743 treatment, 1346 differentially expressed probes were identified in CHC001PDX, 628 down-regulated and 718 up-regulated. In EGI-1 xenograft, 1195 differentially expressed probes were identified, 584 down-regulated and 611 up-regulated. Gene Ontology analysis was performed on the two datasets (significant p-value <0.01), considering up and down-regulated genes separately. We identified at least 20 deregulated biological processes upon ET-743 treatment in CHC001PDX and EGI-1 xenografts (Additional file 5: Table S2). Comparing the two models, we found an overlap of differentially expressed probes upon ET-743 treatment, whose expression is able to subdivide treated from untreated samples by an unsupervised hierarchical clustering analysis (FigureĀ 4). In particular there are 46 common down-regulated genes, 12 out of them (i.e., CADM1, WISP1, CDH2, COL14A1, THY1, CDH11, PSTPIP1, PCDHGA8, THBS2, CLDN2, NCAM1, AEBP1) are involved in cell adhesion processes; further, CDH2/N-Cadherin, a member of the trefoil factor (TFF) gene family, the TFF3 gene, transforming growth factor-Ī²1 (TGF-Ī²1) and N-CAM1, have been previously associated to BTC [29ā€“34]. We also found 16 common up-regulated genes, 5 out of them (HSPA6, OBFC2A, DNAJB4, IL6R, AOX1) are involved in response to stress (Additional file 6: Table S3). Results obtained by microarray experiments were validated by quantitative RT-PCR for some selected deregulated genes (CDH11, TFF3, C FAM5C, IL6R, KCMNA1) (data not shown). Further, pathway analysis of both datasets was performed using PathwayMiner software (http://www.biorag.org); using three different databases, we found 12 common pathways significantly deregulated by ET-743 (Additional file 7: Table S4): among them the IL-6, the Sonic Hedgehog and the Wnt signaling pathways are involved in cholangiocarcinogenesis [35ā€“38].

Figure 4
figure 4

Gene expression analysis of the in vivo models after treatment with ET-743. A. Venn Diagramm showed the differentially expressed probes distribution in the two in vivo models. B. Hierarchical clustering applied to the expression matrix of genes modulated in a concordant manner by the treatment in both CHC001PDX/EGI-1 models, using Euclidean distance as similarity metrics and average linkage as linkage method. Genes were median center and divided by standard deviation. NT: not treated mice; TREATED: treated with ET-743.

Discussion

ET-743 has been approved for treatment of ovarian cancer and soft-tissue sarcoma with significant activity in liposarcomas and leiomyosarcomas, both as a single agent and in combination with other drugs. Here, we demonstrated that ET-743 has an antitumor activity both in vitro and in vivo in preclinical models of human BTC. We reported that ET-743 inhibits BTC in vitro cell growth. Interestingly, the most responsive models to ET-743 were represented by the HuH28 cell line, previously demonstrated to be resistant to GEM in vitro[28] and the ICP-2 primary tumor cell cultures derived from GEMOX-resistant patient. Cell cycle studies on ET-743-treated BTC cells, demonstrated that the chemotherapy acts by modifying the cell cycle status, mostly inducing an increase of sub-G0 phase cell fraction and triggering apoptosis as preferential mechanism. It has been demonstrated that ET-743 causes double-strand DNA damage, detectable by Ser139 phosphorylation of the histone H2A.x. This event triggers a cascade leading to the activation of ATM, and consequently of p53 [39, 40]. Although BTC cell lines display different p53 mutational status, and in particular TFK-1 cells are p53-deleted, we did not find any significant correlation between response to ET-743 and p53 mutational status in these cell lines. This is in agreement with a previous report [7].

In recent years, clinical validation of anticancer therapies has benefited from in vivo models derived from the direct implantation of human tumors in immunocompromized mice. These preclinical models present the advantage to recapitulate the biological characteristics of the primary tumor and represent a useful tool for the study the biology of tumors and the clinical response to new therapeutic approaches [13, 41, 42]. To investigate the in vivo antitumor activity of ET-743, we created BTC mouse xenograft models. By using one of such PDX models and a conventional xenograft from a BTC cell line (EGI-1), we showed that three administrations of ET-743 are sufficient to cause a significant delay of tumor growth compared to the respective untreated control groups. Tumor growth delay by ET-743 could be ascribed to a decrease in the number of tumor proliferating cells, and a net decrease of tumor vessel formation. We were not be able to demonstrate induction of apoptosis in vivo suggesting that in vitro the activity could be more directed to BTC cells, but in vivo ET-743 is also directed against the tumor microenvironment, in particular by decreasing the tumor-associated macrophages and down-regulation of cytokines, chemokines and angiogenic factors [16].

The transcriptional signature upon ET-743 treatment revealed a panel of common deregulated genes. Among them, 12 cell adhesion related genes were down-regulated, while 5 stress response genes were up-regulated. Interestingly, ET-743 reduced the expression of WISP1, which has been associated to a more aggressive phenotype of BTC [43]; another down-regulated gene, TFF3, a member of the trefoil factor (TFF) gene family, was demonstrated to be associated with tumor progression in colorectal cancer [30] and in BTC [44]. ET-743 also induced the down-modulation of TGF-Ī²1, highly expressed in BTC and contributing to the angiogenic switch in preclinical models [32]. Moreover, Shimizu and coll. [31] provided evidence that TGF- Ī²1 supports BTC cell growth, indicating its potential role as a molecular target. Further, we found a deregulation of genes involved in the IL-6, the Sonic Hedgehog and the Wnt signaling pathways, all demonstrated to be involved in cholangiocarcinogenesis [35ā€“38].

As ET-743 inhibited the neoplastic compartment but also affected the tumor micro-environment, it is likely to be more effective for those malignancies as BTC in which chronic inflammation is known to contribute in tumor progression by causing myelomonocitic infiltration and producing chemokines and cytokines. However, these aspects are more difficult to be reproduced in preclinical models and need to be explored in a clinical setting.

Conclusions

In conclusion, our data suggest that ET-743 could be a promising alternative chemotherapy for BTC treatment, providing a strong rationale in the design of a clinical trial to evaluate the activity of ET-743 in BTC patients resistant to GEM-based therapeutic regimens.

Abbreviations

ET-743:

Ecteinascidia turbinate-743

BTC:

Biliary tract carcinoma

IL-6:

Interleukin-6

GEM:

Gemcitabine

OS:

Overall survival

VEGF:

Vascular endothelial growth factor

TAMs:

Tumor-associated macrophages

ECC:

Extrahepatic cholangiocarcinoma

ICC:

Intrahepatic cholangiocarcinoma

GBC:

Gallbladder carcinoma

FBS:

Fetal bovine serum

DMSO:

Dimethyl sulfoxide

PDX:

Patient derived xenograft

PR:

Primitive

NOD/Shi-SCID:

Non-Obese Diabetic/severe combined immunodeficient

PBS:

Phosphate buffered saline

PI:

Propidium Iodide

APC:

Allophycocyanin

HRP:

Horseradish peroxidase

GEP:

Gene expression profiling

SEM:

Standard error of the mean.

References

  1. Patel T: Cholangiocarcinoma. Nat Clin Pract. 2006, 3 (1): 33-42.

    Google ScholarĀ 

  2. Anderson CD, Pinson CW, Berlin J, Chari RS: Diagnosis and treatment of cholangiocarcinoma. Oncologist. 2004, 9 (1): 43-57. 10.1634/theoncologist.9-1-43.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  3. Marino D, Leone F, Cavalloni G, Cagnazzo C, Aglietta M: Biliary tract carcinomas: from chemotherapy to targeted therapy. Crit Rev Oncol/Hematol. 2013, 85 (2): 136-148. 10.1016/j.critrevonc.2012.06.006.

    ArticleĀ  Google ScholarĀ 

  4. Valle J, Wasan H, Palmer DH, Cunningham D, Anthoney A, Maraveyas A, Madhusudan S, Iveson T, Hughes S, Pereira SP, Roughton M, Bridgewater J: Cisplatin plus gemcitabine versus gemcitabine for biliary tract cancer. N Engl J Med. 2010, 362 (14): 1273-1281. 10.1056/NEJMoa0908721.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  5. Valle JW, Furuse J, Jitlal M, Beare S, Mizuno N, Wasan H, Bridgewater J, Okusaka T: Cisplatin and gemcitabine for advanced biliary tract cancer: a meta-analysis of two randomised trials. Ann Oncol. 2014, 25 (2): 391-398. 10.1093/annonc/mdt540.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  6. Okusaka T, Nakachi K, Fukutomi A, Mizuno N, Ohkawa S, Funakoshi A, Nagino M, Kondo S, Nagaoka S, Funai J, Koshiji M, Nambu Y, Furuse J, Miyazaki M, Nimura Y: Gemcitabine alone or in combination with cisplatin in patients with biliary tract cancer: a comparative multicentre study in Japan. Br J Cancer. 2010, 103 (4): 469-474. 10.1038/sj.bjc.6605779.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  7. Erba E, Bergamaschi D, Bassano L, Damia G, Ronzoni S, Faircloth GT, Dā€™Incalci M: Ecteinascidin-743 (ET-743), a natural marine compound, with a unique mechanism of action. Eur J Cancer. 2001, 37 (1): 97-105. 10.1016/S0959-8049(00)00357-9.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  8. Pommier Y, Kohlhagen G, Bailly C, Waring M, Mazumder A, Kohn KW: DNA sequence- and structure-selective alkylation of guanine N2 in the DNA minor groove by ecteinascidin 743, a potent antitumor compound from the Caribbean tunicate Ecteinascidia turbinata. Biochemistry. 1996, 35 (41): 13303-13309. 10.1021/bi960306b.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  9. Valoti G, Nicoletti MI, Pellegrino A, Jimeno J, Hendriks H, Dā€™Incalci M, Faircloth G, Giavazzi R: Ecteinascidin-743, a new marine natural product with potent antitumor activity on human ovarian carcinoma xenografts. Clin Cancer Res. 1998, 4 (8): 1977-1983.

    CASĀ  PubMedĀ  Google ScholarĀ 

  10. Hendriks HR, Fiebig HH, Giavazzi R, Langdon SP, Jimeno JM, Faircloth GT: High antitumour activity of ET743 against human tumour xenografts from melanoma, non-small-cell lung and ovarian cancer. Ann Oncol. 1999, 10 (10): 1233-1240. 10.1023/A:1008364727071.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  11. Krasner CN, Poveda A, Herzog TJ, Vermorken JB, Kaye SB, Nieto A, Claret PL, Park YC, Parekh T, Monk BJ: Patient-reported outcomes in relapsed ovarian cancer: results from a randomized phase III study of Trabectedin with Pegylated Liposomal Doxorubicin (PLD) versus PLD Alone. Gynecol Oncol. 2012, 127 (1): 161-167. 10.1016/j.ygyno.2012.06.034.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  12. Baruchel S, Pappo A, Krailo M, Baker KS, Wu B, Villaluna D, Lee-Scott M, Adamson PC, Blaney SM: A phase 2 trial of trabectedin in children with recurrent rhabdomyosarcoma, Ewing sarcoma and non-rhabdomyosarcoma soft tissue sarcomas: a report from the Childrenā€™s Oncology Group. Eur J Canc. 2002, 48 (4): 579-585.

    ArticleĀ  Google ScholarĀ 

  13. Germano G, Frapolli R, Simone M, Tavecchio M, Erba E, Pesce S, Pasqualini F, Grosso F, Sanfilippo R, Casali PG, Gronchi A, Virdis E, Tarantino E, Pilotti S, Greco A, Nebuloni M, Galmarini CM, Tercero JC, Mantovani A, D'Incalci M, Allavena P: Antitumor and anti-inflammatory effects of trabectedin on human myxoid liposarcoma cells. Cancer Res. 2010, 70 (6): 2235-2244. 10.1158/0008-5472.CAN-09-2335.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  14. Schottenfeld D, Beebe-Dimmer J: Chronic inflammation: a common and important factor in the pathogenesis of neoplasia. CA Cancer J Clin. 2006, 56 (2): 69-83. 10.3322/canjclin.56.2.69.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  15. Kulbe H, Chakravarty P, Leinster DA, Charles KA, Kwong J, Thompson RG, Coward JI, Schioppa T, Robinson SC, Gallagher WM, Galletta L, Salako MA, Smyth JF, Hagemann T, Brennan DJ, Bowtell DD, Balkwill FR, Australian Ovarian Cancer Study Group: A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment. Cancer Res. 2012, 72 (1): 66-75. 10.1158/0008-5472.CAN-11-2178.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  16. Mantovani A, Allavena P, Sica A: Tumour-associated macrophages as a prototypic type II polarised phagocyte population: role in tumour progression. Eur J Cancer. 2004, 40 (11): 1660-1667. 10.1016/j.ejca.2004.03.016.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  17. Lewis CE, Pollard JW: Distinct role of macrophages in different tumor microenvironments. Cancer Res. 2006, 66 (2): 605-612. 10.1158/0008-5472.CAN-05-4005.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  18. Allavena P, Mantovani A: Immunology in the clinic review series; focus on cancer: tumour-associated macrophages: undisputed stars of the inflammatory tumour microenvironment. Clin Exp Immunol. 2012, 167 (2): 195-205. 10.1111/j.1365-2249.2011.04515.x.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  19. Orre M, Rogers PA: Macrophages and microvessel density in tumors of the ovary. Gynecol Oncol. 1999, 73 (1): 47-50. 10.1006/gyno.1998.5292.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  20. Germano G, Frapolli R, Belgiovine C, Anselmo A, Pesce S, Liguori M, Erba E, Uboldi S, Zucchetti M, Pasqualini F, Nebuloni M, van Rooijen N, Mortarini R, Beltrame L, Marchini S, Fuso Nerini I, Sanfilippo R, Casali PG, Pilotti S, Galmarini CM, Anichini A, Mantovani A, D'Incalci M, Allavena P: Role of macrophage targeting in the antitumor activity of trabectedin. Cancer Cell. 2013, 23 (2): 249-262. 10.1016/j.ccr.2013.01.008.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  21. Subimerb C, Pinlaor S, Lulitanond V, Khuntikeo N, Okada S, McGrath MS, Wongkham S: Circulating CD14(+) CD16(+) monocyte levels predict tissue invasive character of cholangiocarcinoma. Clin Exp Immunol. 2010, 161 (3): 471-479. 10.1111/j.1365-2249.2010.04200.x.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  22. Gore L, Rivera E, Basche M, Moulder-Thompson SL, Li J, Eppers S, Grolnic S, Oā€™Bryant C, Cleere D, Elsayed YA, Eckhardt SG: Phase I combination study of trabectedin and capecitabine in patients with advanced malignancies. Invest New Drugs. 2012, 30 (5): 1942-1949. 10.1007/s10637-011-9747-9.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  23. Peraldo Neia C, Cavalloni G, Chiorino G, Ostano P, Aglietta M, Leone F: Antitumor activity, gene and miRNA modulation upon ET-743 treatment in an intrahepatic cholangiocarcinoma patient derived xenograft model. Annual Meeting of American Association for Cancer Research. 2014, San Diego, CA: Philadelphia, PA Abstract Number 5551

    Google ScholarĀ 

  24. Takahashi N, Li W, Banerjee D, Guan Y, Wada-Takahashi Y, Brennan MF, Chou TC, Scotto KW, Bertino JR: Sequence-dependent synergistic cytotoxicity of ecteinascidin-743 and paclitaxel in human breast cancer cell lines in vitro and in vivo. Cancer Res. 2002, 62 (23): 6909-6915.

    CASĀ  PubMedĀ  Google ScholarĀ 

  25. Dā€™Incalci M, Colombo T, Ubezio P, Nicoletti I, Giavazzi R, Erba E, Ferrarese L, Meco D, Riccardi R, Sessa C, Cavallini E, Jimeno J, Faircloth GT: The combination of yondelis and cisplatin is synergistic against human tumor xenografts. Eur J Cancer. 2003, 39 (13): 1920-1926. 10.1016/S0959-8049(03)00490-8.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  26. Romano M, Frapolli R, Zangarini M, Bello E, Porcu L, Galmarini CM, GarcĆ­a-FernĆ”ndez LF, Cuevas C, Allavena P, Erba E, D'Incalci M: Comparison of in vitro and in vivo biological effects of trabectedin, lurbinectedin (PM01183) and ZalypsisĀ® (PM00104). Int J Cancer. 2013, 133 (9): 2024-2033. 10.1002/ijc.28213.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  27. Smyth GK: Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004, 3: Article3-

    PubMedĀ  Google ScholarĀ 

  28. Pignochino Y, Sarotto I, Peraldo-Neia C, Penachioni JY, Cavalloni G, Migliardi G, Casorzo L, Chiorino G, Risio M, Bardelli A, Aglietta M, Leone F: Targeting EGFR/HER2 pathways enhances the antiproliferative effect of gemcitabine in biliary tract and gallbladder carcinomas. BMC Cancer. 2010, 10: 631-10.1186/1471-2407-10-631.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  29. Mosnier JF, Kandel C, Cazals-Hatem D, Bou-Hanna C, Gournay J, Jarry A, Laboisse CL: N-cadherin serves as diagnostic biomarker in intrahepatic and perihilar cholangiocarcinomas. Mod Pathol. 2009, 22 (2): 182-190. 10.1038/modpathol.2008.123.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  30. Rivat C, Christine R, Rodrigues S, Sylvie R, Bruyneel E, Erik B, PiĆ©tu G, GeneviĆØve P, Robert A, AmĆ©lie R, Rivat C, Rodrigues S, Bruyneel E, PiĆ©tu G, Robert A, Redeuilh G, Bracke M, Gespach C, Attoub S: Implication of STAT3 signaling in human colonic cancer cells during intestinal trefoil factor 3 (TFF3) ā€“ and vascular endothelial growth factor-mediated cellular invasion and tumor growth. Cancer Res. 2005, 65 (1): 195-202.

    PubMedĀ  Google ScholarĀ 

  31. Shimizu T, Yokomuro S, Mizuguchi Y, Kawahigashi Y, Arima Y, Taniai N, Mamada Y, Yoshida H, Akimaru K, Tajiri T: Effect of transforming growth factor-beta1 on human intrahepatic cholangiocarcinoma cell growth. World J Gastroenterol. 2006, 12 (39): 6316-6324.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  32. Benckert C, Jonas S, Cramer T, Von Marschall Z, SchƤfer G, Peters M, Wagner K, Radke C, Wiedenmann B, Neuhaus P, Hƶcker M, Rosewicz S: Transforming growth factor beta 1 stimulates vascular endothelial growth factor gene transcription in human cholangiocellular carcinoma cells. Cancer Res. 2003, 63 (5): 1083-1092.

    CASĀ  PubMedĀ  Google ScholarĀ 

  33. AndrƩ T, Tournigand C, Rosmorduc O, Provent S, Maindrault-Goebel F, Avenin D, Selle F, Paye F, Hannoun L, Houry S, Gayet B, Lotz JP, de Gramont A, Louvet C: Gemcitabine combined with oxaliplatin (GEMOX) in advanced biliary tract adenocarcinoma: a GERCOR study. Ann Oncol. 2004, 15 (9): 1339-1343. 10.1093/annonc/mdh351.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  34. GĆ¼tgemann I, Haas S, Berg JP, Zhou H, BĆ¼ttner R, Fischer HP: CD56 expression aids in the differential diagnosis of cholangiocarcinomas and benign cholangiocellular lesions. Virchows Arch. 2006, 448 (4): 407-411. 10.1007/s00428-005-0145-6.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  35. Isomoto H: Epigenetic alterations in cholangiocarcinoma-sustained IL-6/STAT3 signaling in cholangio- carcinoma due to SOCS3 epigenetic silencing. Digestion. 2009, 79 (Suppl 1): 2-8.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  36. El Khatib M, Kalnytska A, Palagani V, Kossatz U, Manns MP, Malek NP, Wilkens L, Plentz RR: Inhibition of hedgehog signaling attenuates carcinogenesis in vitro and increases necrosis of cholangiocellular carcinoma. Hepatology. 2013, 57 (3): 1035-1045. 10.1002/hep.26147.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  37. Riedlinger D, Bahra M, Boas-Knoop S, Lippert S, Bradtmƶller M, Guse K, Seehofer D, Bova R, Sauer IM, Neuhaus P, Koch A, Kamphues C: Hedgehog pathway as a potential treatment target in human cholangiocarcinoma. J Hepatobiliary Pancreat Sci. 2014, 21 (8): 607-615. 10.1002/jhbp.107.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  38. Zhang KS, Zhou Q, Wang YF, Liang LJ: Inhibition of Wnt signaling induces cell apoptosis and suppresses cell proliferation in cholangiocarcinoma cells. Oncol Rep. 2013, 30 (3): 1430-1438.

    CASĀ  PubMedĀ  Google ScholarĀ 

  39. Redon C, Pilch D, Rogakou E, Sedelnikova O, Newrock K, Bonner W: Histone H2A variants H2AX and H2AZ. Curr Opin Genet Dev. 2002, 12 (2): 162-169. 10.1016/S0959-437X(02)00282-4.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  40. Guirouilh-Barbat J, Redon C, Pommier Y: Transcription-coupled DNA double-strand breaks are mediated via the nucleotide excision repair and the Mre11-Rad50-Nbs1 complex. Mol Biol Cell. 2008, 19 (9): 3969-3981. 10.1091/mbc.E08-02-0215.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  41. Bertotti A, Migliardi G, Galimi F, Sassi F, Torti D, Isella C, CorĆ  D, Di Nicolantonio F, Buscarino M, Petti C, Ribero D, Russolillo N, Muratore A, Massucco P, Pisacane A, Molinaro L, Valtorta E, Sartore-Bianchi A, Risio M, Capussotti L, Gambacorta M, Siena S, Medico E, Sapino A, Marsoni S, Comoglio PM, Bardelli A, Trusolino L: A molecularly annotated platform of patient-derived xenografts (ā€œxenopatientsā€) identifies HER2 as an effective therapeutic target in cetuximab-resistant colorectal cancer. Canc Discov. 2011, 1 (6): 508-523. 10.1158/2159-8290.CD-11-0109.

    ArticleĀ  CASĀ  Google ScholarĀ 

  42. Bertotti A, Trusolino L: From bench to bedside: does preclinical practice in translational oncology need some rebuilding?. J Natl Cancer Inst. 2013, 105 (19): 1426-1427. 10.1093/jnci/djt253.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  43. Tanaka S, Sugimachi K, Kameyama T, Maehara S, Shirabe K, Shimada M, Wands JR, Maehara Y: Human WISP1v, a member of the CCN family, is associated with invasive cholangiocarcinoma. Hepatology. 2003, 37 (5): 1122-1129. 10.1053/jhep.2003.50187.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  44. Ailawadhi S, Nagase H, Khoury T, Yu J, Tan D, Black J, Brattain M, Javle M: Intestinal trefoil factor (TFF-3) and extracellular signal-regulated kinase (ERK) in cholangiocarcinoma. Hepatogastroenterology. 2007, 54 (77): 1339-1344.

    CASĀ  PubMedĀ  Google ScholarĀ 

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Acknowledgements

We would like to thank Radhika Srinivasan, PhD, for extensive revision of the manuscript. CPN: Fellowship sponsored by Associazione Italiana per la Ricerca sul Cancro (AIRC) (University of Turin); GC: FPO; MS: Fellowship sponsored by AIRC; LG: FPO. SM: My First AIRC Grant (AIRC-MFAG), Regione Piemonte Ricerca Sanitaria Finalizzata Under 40, Banca dā€™Alba, Fondazione Piemontese per la Ricerca sul Cancro (FPRC) Intramural Grant 5x1000 2008; FS: fellowship sponsored by Fondazione Umberto Veronesi (FUV)-Young Investigator Programme 2013; LT: AIRC, 2010 Special Program Molecular Clinical Oncology 5 Ɨ 1000, project 9970, AIRC Investigator Grants, projects 10116 and 14205; AB: AACR, American Association for Cancer Research ā€“ Fight Colorectal Cancer Career Development Award, MIUR FIRB, Ministero dellā€™UniversitĆ  e della Ricerca, Fondo per gli Investimenti della Ricerca di Base ā€“ Futuro in Ricerca. MA: University of Turin. FL: University of Turin.

Financial support

This work was supported by grants from ā€œProgetti di Ricerca Rete Oncologica Piemonte-Valle dā€™Aostaā€ and ā€œFondazione Piemontese per la Ricerca sul Cancro - Onlus-ā€. Project nĀ°16:30 ā€œIdentificazione di nuove vie di trasduzione del segnale intracellulare sensibili ai farmaci nel colangiocarcinoma intraepatico (ICC)ā€ 5 per Mille 2010 Ministero della Salute. CPN: Fellowship sponsored by Associazione Italiana per la Ricerca sul Cancro (AIRC) (University of Turin); GC: FPO; MS: Fellowship sponsored by AIRC; LG: FPO. SM: My First AIRC Grant (AIRC-MFAG), Regione Piemonte Ricerca Sanitaria Finalizzata Under 40, Banca dā€™Alba, Fondazione Piemontese per la Ricerca sul Cancro (FPRC) Intramural Grant 5x1000 2008; FS: fellowship sponsored by Fondazione Umberto Veronesi (FUV)-Young Investigator Programme 2013; LT: AIRC, 2010 Special Program Molecular Clinical Oncology 5 Ɨ 1000, project 9970, AIRC Investigator Grants, projects 10116 and 14205; AB: AACR, American Association for Cancer Research ā€“ Fight Colorectal Cancer Career Development Award, MIUR FIRB, Ministero dellā€™UniversitĆ  e della Ricerca, Fondo per gli Investimenti della Ricerca di Base ā€“ Futuro in Ricerca. MA: University of Turin. FL: University of Turin.

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Correspondence to Caterina Peraldo-Neia.

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Competing interests

The authors declare that they have no competing interests.

Authorsā€™ contributions

CPN and GC (co first-authors) designed the study, conceived and carried out the experiments, analyzed data and wrote the article; MS carried out experiments and performed statistical analysis; LG carried out experiments and revised the article; SM performed statistical analysis and revised the article; FS carried out experiments and performed statistical analysis; LT and AB revised the article; EM interpreted microarray data; FL and MA designed the study, wrote and revised the article. All authors approved the final version of the manuscript.

Caterina Peraldo-Neia, Giuliana Cavalloni contributed equally to this work.

Electronic supplementary material

Additional file 1: Table S1: Comparison of IC50 values after treatment with GEM or ET-743 on BTC cells. (DOCX 49 KB)

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Additional file 2: Figure S1: Representative histograms of distributions of TFK-1, WITT, and KMCH on cell cycle phases. NT: not treated cells. (TIFF 59 KB)

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Additional file 3: Figure S2: Representative Dot plots analysis of apoptosis induction in TGBC1, TFK-1, WITT, and KMCH cell lines.NT, not treated; ET-743, treated with drug. (TIFF 132 KB)

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Additional file 4: Figure S3: ET-743 induces the phosphorylation of proteins involved in DNA damage-repair in BTC cell lines. Cells were treated with 5 nM of ET-743 for 24Ā hours followed by Western blot analysis to investigate the phosphorylation status of ATM, p53, and H2A.x. (TIFF 136 KB)

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Additional file 5: Table S2: Gene Ontology of ET-743 treated vs untreated in vivo models. A. CHC001PDX treated vs CHC001PDX untreated: BPall pv < 0.01 - BG Agilent HumanGenome. B. EGI-1 xenograft-treated vs EGI1 xenograft-untreated: BPall pv < 0.01 - BG Agilent HumanGenome. (XLSX 14 KB)

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Additional file 6: Table S3: Common deregulated (46 down-regulated and 12 up-regulated) elements between CHC001PDX and EGI-1 xenograft. (XLSX 22 KB)

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Additional file 7: Table S4: Common deregulated pathways obtained by PathwayMiner software, using three different databases. A p value <0.05 was considered as statistically significant. (DOCX 15 KB)

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Peraldo-Neia, C., Cavalloni, G., Soster, M. et al. Anti-cancer effect and gene modulation of ET-743 in human biliary tract carcinoma preclinical models. BMC Cancer 14, 918 (2014). https://doi.org/10.1186/1471-2407-14-918

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