Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2016 Feb 18;6:21340. doi: 10.1038/srep21340

Alcoholic hepatitis accelerates early hepatobiliary cancer by increasing stemness and miR-122-mediated HIF-1α activation

Aditya Ambade 1, Abhishek Satishchandran 1, Gyongyi Szabo 1,a
PMCID: PMC4758032  PMID: 26888602

Abstract

Alcohol-related hepatocellular carcinoma (HCC) develops with advanced alcoholic liver disease and liver fibrosis. Using adult mice, we evaluate the effect of alcoholic steatohepatitis on early hepatobiliary carcinoma after initiation by diethyl-nitrosamine (DEN). Here we show that alcohol-fed DEN-injected mice have higher ALT and liver-to-body weight ratio compared to pair-fed DEN-injected mice. Alcohol feeding results in steatohepatitis indicated by increased pro-inflammatory cytokines and fibrotic genes. MRI and liver histology of alcohol+DEN mice shows hepatobiliary cysts, early hepatic neoplasia and increase in serum alpha-fetoprotein. Proliferation makers (BrdU, cyclin D1, p53) and cancer stem cell markers (CD133 and nanog) are significantly up-regulated in livers of alcohol-fed DEN-injected mice compared to controls. In livers with tumors, loss of miR-122 expression with a significant up-regulation of miR-122 target HIF-1α is seen. We conclude that alcoholic steatohepatitis accelerates hepatobiliary tumors with characteristic molecular features of HCC by up-regulating inflammation, cell proliferation, stemness, and miR-122 loss.


Hepatocellular carcinoma (HCC) is the most common liver cancer, and worldwide it represents the fifth most common primary cancer1. HCC is also the third leading cause of cancer related mortality globally2. In the United States, the incidence of HCC has tripled over the last two decades3,4. Unlike many other cancers with known associated risk factors, the underlying molecular pathophysiology for HCC is still not completely known. Most commonly, the incidence of HCC is linked to known risk factors including hepatitis B and C, aflatoxin and chronic alcohol consumption5. Each of these factors alone poses a significant risk to development of liver cirrhosis6. In fact, independent of the initial insult, cirrhosis remains the single common precursor of HCC development.

Hepatocarcinogenesis is a multistep, multistage process that involves genetic and epigenetic alterations that ultimately lead to malignant transformation of hepatocytes7. Several animal models have been reported that mimic different steps leading to HCC8; however, no animal model of alcohol-related HCC exists that represents human alcoholic liver with features of steatoheptitis and liver fibrosis. Chemically induced HCC models such as the N-nitrosodiethylamine (DEN) induced HCC model are the most widely used and accepted8. DEN acts as an alkylating agent for DNA bases which initiates the formation of neoplasms9. A recent study combined DEN with alcohol administration in the drinking water10; however this form of alcohol feeding fails to result in liver steatosis or inflammation that are characteristics of human alcoholic liver disease11. Human HCC is poorly understood, and molecular markers and checkpoints in HCC have recently received attention. It has been shown that the pro-inflammatory cell and cytokine environment, defects in cell proliferation and stem cell-mediated repair all contribute to the multistep process of HCC8,12,13.

In this study, we administered 6 doses of DEN to 4 week old adult C57bl/6 male mice followed by 6 weeks of Lieber-DeCarli alcohol diet. We report a synergistic effect of alcohol with DEN resulting in up-regulation of inflammatory and fibrotic markers and a remarkable induction of early hepatobiliary cancers in mice receiving alcohol-diet and DEN. At the molecular level, livers of alcohol-fed DEN-injected mice show significant up-regulation of markers of cell proliferation, stemness (CD133, nanog), as well as tissue inflammation and up-regulation of hypoxia inducible factor-1α and its target, VEGFR1. These results indicate that chronic alcohol accelerates hepatobiliary cancer via multiple key mechanisms in carcinogenesis.

Results

Combination of alcohol and DEN induces sustained liver injury

Chronic alcohol use is a major risk factor for HCC development in humans4. Here we hypothesized that the alcoholic liver environment accelerates liver tumor development after repeated administration of a chemical carcinogen, DEN. In this study, male C57bl/6 mice received 6 weekly DEN injections, starting at age of 4 weeks followed by chronic alcohol administration (Supplementary Fig. S1). Chronic alcohol exposure induces inflammation that is driven by secretion of pro-inflammatory cytokines14. We analyzed TNFα, MCP-1, and IL-6 expression at the protein and mRNA levels in the liver tissue and observed that expression of these pro-inflammatory cytokines at the protein level was significantly higher in alcohol-fed DEN-injected mice as compared to pair-fed DEN-injected or alcohol-fed saline-injected mice (Fig. 1a). Interestingly, the expression of TNFα and IL-6 at the mRNA level in alcohol-fed DEN-injected mice was lower than alcohol-fed saline-injected mice (Fig. 1b). IL-17A is an inflammatory and immunoregulatory cytokine secreted by Th17 cells, γδ T cells and has been recently reported to promote tumor growth in hepatocellular carcinoma15. While both alcohol and DEN, respectively increased IL-17A levels in our experimental model, IL-17A induction was additively increased by combination of DEN and alcohol in the liver at the tissue protein (Fig. 1a) and mRNA (Fig. 1b) levels, compared to pair-fed DEN-injected and alcohol-fed saline-injected mice. Serum ALT was significantly higher in alcohol-fed DEN-injected mice compared to any other group (Fig. 1c). Liver to body weight ratio at sacrifice was significantly higher in alcohol-fed DEN-injected mice as compared to alcohol-fed saline-injected and pair-fed DEN-injected mice (Supplementary Fig. S2). Alcohol induced oxidative stress as measured by thiobarbituric acid reactive substances (TBARS) was significantly higher in alcohol-fed DEN-injected mice compared to other experimental groups (Fig. 1d).

Figure 1. Alcohol and DEN are additive in induction of liver inflammation and fibrosis.

Figure 1

(a) Tissue protein levels of pro-inflammatory cytokines (n ≥ 5mice per group). (b) Fold changes in mRNA levels of pro-inflammatory cytokines in liver tissue. (c) Serum ALT levels at sacrifice. (d) Liver tissue ROS measured by TBARS assay. (e) Representative Sirius Red staining images from all experimental groups. Bars inside the images indicate 100 μm. (f) For quantification, at least 3 different microscope fields at 10x magnification were scored for each mouse (n ≥ 5mice per group). Bar graph shows percent Sirius red positive area quantified using ImageJ. (g) Fold changes in mRNA levels of fibrosis markers in liver tissue. In all graphs, values are given as average ± SD, ANOVA and Dunnett’s multiple comparison were used to compare the means of multiple groups; (*p < 0.05).

HCC in human alcoholics develops in fibrotic and cirrhotic livers16. The Sirius Red staining suggested a higher degree of fibrosis in alcohol-fed DEN-injected mice compared to other groups (Fig. 1e,f). To estimate the extent of fibrosis, we evaluated α-SMA, procollagen1α and TGFβ expression in the liver. As shown in Fig. 1g, all markers of fibrosis were significantly up-regulated in alcohol-fed DEN-injected mice (Fig. 1g). These data indicated significant inflammation and fibrosis in our experimental model.

Alcohol accelerates HCC development after DEN insult

Having confirmed the inflammation status, fibrotic injury in our samples, next we assessed HCC markers using 3 complementary strategies: MRI, histology and serum markers. First, the T2 weighted MRI scan of alcohol-fed DEN-injected mice showed significantly higher number of characteristic intrahepatic biliary cysts visualized as bright spots while the pair-fed DEN-injected mice had very few cysts (Fig. 2a). Pixel quantification of these MRI scans using ImageJ revealed significantly higher number of nodules in alcohol-fed DEN-injected mice compared to the pair-fed plus DEN group (Fig. 2b). Nodules were not found in pair-fed saline-injected and alcohol-fed saline-injected mice.

Figure 2. Alcohol accelerates HCC development after DEN insult.

Figure 2

(a) T2-weighted MRI of liver in coronal section. Arrows denote cysts. (b) Quantification of cyst area using ImageJ. (c) Representative H & E stained liver sections from all treatment groups. Bars inside the images indicate 100 μm. Biliary cysts were observed in both DEN-injected groups while the hepatic hyperplasia (encircled in black dotted line) was exclusively observed in alcohol + DEN mice. Bar graph shows average number of biliary cysts and hepatic hyperplastic nodules counted at 10× magnification for each mouse (n ≥ 5 mice per group). (d) Fold changes in serum AFP levels. In all graphs, values are given as average ± SD, ANOVA and Dunnett’s multiple comparison were used to compare the means of multiple groups; (*p < 0.05).

Second, histopathology examination of the liver sections independently confirmed the presence of intrahepatic biliary cysts and hepatic hyperplastic nodules in alcohol-fed DEN-injected mice (Fig. 2c). In addition to higher number of intrahepatic biliary cysts, the alcohol-fed DEN-injected mice exclusively showed hepatic hyperplastic nodules pointing towards the role of alcohol as a tumor promoter. Quantification of the cysts and nodules in liver sections revealed significantly higher number of cysts and nodules, respectively, in livers after chronic alcohol plus DEN injection compared to any other experimental groups (Fig. 2c).

Third, serum AFP levels were significantly higher in alcohol-fed DEN-injected mice as compared to pair-fed DEN-injected and alcohol-fed saline-injected mice (Fig. 2d). Taken together, the MRI, histopathology, and the serum AFP data provided evidence for increased number of biliary cysts and accelerated development of hepatic hyperplasia in mice receiving alcohol plus DEN.

Chronic alcohol induces stemness

Two recent independent studies suggested that cancer growth is mediated by a small population of stem-like cells, referred to as cancer stem cells (CSCs) or tumor initiating cells (TICs) that are characterized by expression of two stem cell markers, CD133 and nanog17,18. In our model, expression of CD133 and nanog was significantly higher in alcohol-fed DEN-injected mice compared to pair-fed DEN-injected or alcohol-fed saline-injected mice (Fig. 3a). CD133+ liver tumor initiating cells have been shown to promote tumor growth via IL-8/CXCL1 signaling in humans17. Expression of CXCL1 was significantly higher in alcohol-fed DEN-injected mice suggesting that CXCL1 signaling may be involved in promoting tumor growth in this experimental model (Fig. 3a).

Figure 3. Chronic alcohol induces stemness.

Figure 3

(a) Fold changes in mRNA levels of stem cell markers in liver tissue (n ≥ 5 mice per group). (b) Representative immunostaining images for AFP showing more positive cells in alcohol + DEN mice, (c) CK7 and (d) CK19, respectively. Bars in (b–d) indicate 10 μm. In all graphs in panel (a) values are given as average ± SD, ANOVA and Dunnett’s multiple comparison were used to compare the means of multiple groups; (*p < 0.05).

The expression of AFP is directly associated with hepatocyte differentiation19. Immunohistochemistry staining showed an abundance of AFP positive cells in alcohol-fed DEN-injected mice compared to all other groups (Fig. 3b). Bipotent progenitor cells or stem cells within the liver, termed as oval cells, are implicated in the pathogenesis of hepatocellular carcinoma and cholangiocarcinoma in animal models and may be important in the development of hepatocellular carcinoma in human chronic liver diseases20. In addition, oval cells can also directly de-differentiate from mature liver cells such as hepatocytes21. These oval cells have been reported to express dual lineage markers, such as alphafetoprotein (AFP) as hepatocyte marker22 and cytokeratins 7 and 19 as markers of bile duct epithelium23. Immunostaining for CK7 and CK19 revealed increased number of these markers of biliary progenitors (CK7 positive cells) and hepatic stem cells or oval cells (CK19 positive cells) in the livers of alcohol-fed DEN-injected mice, respectively (Fig. 3c,d).

Chronic alcohol up-regulates hepatocyte proliferation and Epithelial Mesenchymal Transition (EMT)

First, we evaluated the expression of cyclin D1 and p53, signature molecules implicated in HCC progression24. As shown in Fig. 4a, the expression of both cyclin D1 and p53 was significantly higher in alcohol-fed DEN-injected mice at the mRNA and protein levels compared to all other groups (Fig. 4a). To provide evidence of cell proliferation, we injected the mice with bromodeoxyuridine (BrdU), the S phase marker before sacrifice. As shown in Fig. 4b, higher number of cells was stained BrdU positive in alcohol-fed DEN-injected mice (Fig. 4b).

Figure 4. Chronic alcohol up-regulates proliferation, EMT markers.

Figure 4

(a) Liver mRNA and protein levels of cyclin D1 and p53. β-tubulin and GAPDH used as loading controls for western blots. Relative density of signal is shown for each protein blot. (b) Representative immunostaining images for BrdU incorporation. Arrows point to positive staining. BrdU positive nuclei were scored in at least 3 different microscopic fields for each mouse. Bars indicate 10 μm. (n ≥ 5 mice per group). (c) Liver mRNA and protein levels of vimentin with relative density of vimentin protein. GAPDH used as loading control for western blots. Liver mRNA levels of N-cadherin and E-cadherin. In all graphs, values are given as average ± SD, ANOVA and Dunnett’s multiple comparison were used to compare the means of multiple groups; (*p < 0.05).

HCC development is characterized by epithelial mesenchymal transition (EMT)25. Consistent with this, the epithelial mesenchymal transition markers, N-cadherin and vimentin, were significantly up-regulated at the mRNA level in alcohol-fed DEN-injected mice (Fig. 4c). Up regulation of vimentin in alcohol-fed DEN-injected mice was also seen at the protein level (Fig. 4c). Loss of E-cadherin has been shown to promote liver carcinogenesis26. The expression of E-cadherin was significantly reduced in alcohol-fed DEN-injected mice as compared to alcohol-fed saline-injected and pair-fed DEN-injected mice (Fig. 4c).

Chronic alcohol induces hedgehog signaling

Progression of hepatobilliary cancer involves activation of multiple intracellular regulatory pathways7. We analyzed the hedgehog (Hh) signaling, a major signaling pathway reported to be dysregulated in HCC27. Upon activation of the surface receptor PTCH1/2 by Hh ligands, downstream transcription factors Gli1/2/3 are activated which drive the expression of several Hh target genes including Cyclin D2, OPN and CD44. The expression of Gli1 was significantly higher in alcohol-fed DEN-injected mice as compared to alcohol-fed saline-injected or pair-fed DEN-injected mice (Fig. 5a). Hh targets, CCND2, OPN and CD44 were significantly up-regulated affirming the activation of Hh pathway in this model (Fig. 5b). Sonic hedgehog (Shh), the ligand for Hh pathway showed significant protein induction in liver from alcohol-fed DEN-injected mice (Fig. 5c). These data suggest that alcohol alters the expression of Hh target genes and dysregulates Hh signaling contributing to progression of HCC.

Figure 5. Up-regulation of hedgehog signaling in experimental HCC model.

Figure 5

(a) Liver mRNA levels of Gli-1. (b) Liver mRNA levels of hedgehog target genes, Ccnd2 (cyclinD2), Opn (osteopontin) and CD44. (c) Liver protein levels of Shh, the ligand for hedgehog pathway with relative band intensity. In all graphs, values are given as average ± SD, ANOVA and Dunnett’s multiple comparison were used to compare the means of multiple groups; (*p < 0.05).

Altered liver microRNA-122 and HIF-1α correlates with HCC in mice

MicroRNAs are small non-coding RNA molecules that regulate post transcriptional gene expression via RNA silencing. miRs have been reported to control the liver tumor development and aggressiveness28. The most abundant miRNA in the liver is miR-122. Decreases in liver tissue miR-122 have been correlated with gain of metastatic properties of liver cancer and increased mortality29. We found that the expression of miR-122 in the liver tissue was significantly lower in alcohol-fed DEN-injected mice compared to any other groups in this study (Fig. 6a). miR-122 regulates the expression of cyclin G1, whose high levels have been reported in several human cancers30. In addition, by modulating cyclin G1, miR-122 influences p53 protein stability and transcriptional activity and reduces invasion capability of HCC-derived cell lines31. We observed an up-regulation of cyclin G1 (Fig. 6b) and p53 (Fig. 4a) in the liver. Bcl-w, an anti-apoptotic gene and a target of miR-122, was significantly up-regulated in alcohol-fed DEN-injected mice (Fig. 6b).

Figure 6. Altered microRNA-122 and HIF-1α expression in liver confirms HCC in mice.

Figure 6

(a) miR-122 levels in liver. (b) Targets of miR-122, Ccng1 (cyclinG1) and Bcl-w mRNA in liver. (c) Liver HIF-1α mRNA levels, HIF-1α DNA binding activity assayed by EMSA and target gene Vegfr1 mRNA levels (n ≥ 5 mice per group). In all graphs, values are given as average ± SD, ANOVA and Dunnett’s multiple comparison were used to compare the means of multiple groups; (*p < 0.05).

Tumor tissues are often characterized by low levels of tissue oxygen known as hypoxia, which makes tumor tissues resistant to radiotherapy32. Hypoxia induces the transcription factor HIF-1α which drives the expression of various cell proliferation and angiogenesis genes33. We recently discovered that HIF-1α is a miR-122 target34. Indeed, alcohol-fed DEN-injected mice showed an up-regulation in HIF-1α mRNA and a remarkable increase in its DNA binding activity compared all other groups (Fig. 6c). The expression of VEGFR1, a HIF-1α target gene which plays pivotal a role in angiogenesis, was also significantly higher in alcohol-fed DEN-injected mice indicating an up regulation in the biological activity of HIF-1α (Fig. 6c).

Serum miR-122 increase correlates with liver injury and tumor markers

Circulating microRNAs have a potential to serve as biomarkers of disease35. Levels for circulating miR-122 can be useful in predicting liver diseases such as HCC and ongoing liver injury36. Hence, we analyzed expression of miR-122 in serum collected at sacrifice from mice. Serum miR-122 levels were highly increased in alcohol-fed DEN-injected mice compared to all other groups (Fig. 7a) and showed a positive correlation with ALT increase (Fig. 7b) and serum AFP (Fig. 7c). Lastly, a significant correlation was seen between serum miR-122 and CD133 expression (Fig. 7d). Taken together, our data provides experimental evidence for alcohol accelerating DEN initiated development of HCC in mice.

Figure 7. Up-regulation of serum miR-122 co-relates with liver injury markers.

Figure 7

(a) Serum miR-122 levels. (bd) Spearman co-relation of serum miR-122 with serum ALT, serum AFP and liver CD133 respectively. In all graphs, values are given as average ± SD, ANOVA and Dunnett’s multiple comparison were used to compare the means of multiple groups; (*p < 0.05).

Discussion

Chronic alcohol use by itself leads to fatty liver, liver inflammation, and cirrhosis37. Epidemiological data suggests that chronic heavy alcohol consumption is a significant risk factor towards the development of HCC4. In this study we demonstrate that chronic alcohol feeding in adult mice accelerated DEN (chemical) induced liver tumor development with molecular characteristics of HCC. We found that features of human alcoholic hepatitis; inflammation and fibrosis were increased in DEN-injected mice after alcohol feeding and resulted in increased numbers of biliary cysts and early HCC. Our experiments dissected molecular mechanisms involved in early hepatic carcinogenesis and found that markers of stemness (CD133 and nanog), factors involved in epithelial mesenchymal transition (vimentin and hedgehog activation) and miR-122 decrease, were all present in livers with early liver tumors triggered by alcohol plus DEN. Our data indicate that increased progenitor cell activation is triggered in the alcoholic liver tissue microenvironment that is characterized by high levels of pro-inflammatory signals from both innate (TNFα and MCP-1), adaptive immunity (Th17) and activation of HIF-1α. In addition to steatohepatitis induced by chronic alcohol administration, liver fibrosis was also present as indicated by Sirius Red staining, alpha-smooth muscle actin and collagen deposition in the liver (Fig. 8).

Figure 8. Proposed pathogenic model for alcoholic hepatitis accelerated hepatobiliary cancer.

Figure 8

Chronic alcohol exposure leads to increased ROS, inflammation and fibrosis which leads to cellular hypoxia and proliferation and accelerates the carcinogen induced progression of hepatobiliary cancer. The hepatobiliary cancer is characterized by loss of miR-122 and up regulation of its targets cyclinG1 and Bcl-W, increased stemness, progenitor cell markers and enhanced EMT.

Although several carcinogen initiated HCC animal models have been described, none of them employed alcohol as a dietary component or tumor promoting agent8. A recent study performed in neonate mice combined chronic alcohol exposure in the drinking water with DEN injection and showed tumors at 48 weeks10. However, alcohol administration in the drinking water does not cause alcoholic liver disease11. In our current study, we employed the Lieber-DeCarli alcohol feeding model that results in features of human alcoholic liver disease including steatosis, inflammation and liver fibrosis38,39. By utilizing adult mice and the Lieber-DeCarli diet, our model displays the natural course of progression of alcoholic liver disease as well as hyperplastic changes as shown by histology and modulation of molecular markers suggestive of early hepatic tumors in a short time (12 weeks). However, because of the relatively short alcohol administration, our model cannot provide a direct evidence of alcohol increasing liver cancer and a longer follow up will be required to overcome this limitation. Nonetheless, our model resembles the human condition of carcinogen pre-exposure followed by long term alcohol consumption with features of human alcoholic liver disease and liver fibrosis.

DEN is metabolized in the liver by Cyp2E1, the same enzyme that metabolizes alcohol40. It has been proposed that the charged nucleophilic intermediates of DEN attack DNA bases thereby leading to mutations which initiate cellular transformation9. Alcohol metabolites also generate ROS, cause inflammation and steatosis. The combined effect of these two can lead to hepatocyte transformation (Fig. 8). Because both DEN and alcohol are primarily metabolized in hepatocytes, the chronic alcoholic injury may accelerate hepatocyte transformation leading to appearance of early neoplastic foci found in alcohol plus DEN mice only. We confirmed increased reactive oxygen species (ROS) in alcohol plus DEN mice as indicated by elevated TBARS. Chemical carcinogens exert their effect by generating ROS during their metabolism in the liver, which is responsible for DNA damage associated with increased risk of cancer development41. Sustained increased ROS can activate a variety of transcription factors including NF-κB, p53, HIF-1α, β-catenin/Wnt, and Nrf2 in liver leading to chronic inflammation that is responsible for cancer progression42. Our data suggests that in this experimental model, hepatocytes from alcohol plus DEN mice are exposed to higher levels of ROS than pair-fed DEN-injected hepatocytes, which may contribute to their accelerated transformation to tumors.

DEN induced cancer models in animals show the occurrence of biliary cysts, which has been attributed to oxidative stress in the liver43. Biliary cysts are known precursors for cholangiocarcinoma (CCA)44. Cholangiocarcinoma is the second most common primary hepatic malignancy with 5-year survival rate below 5%45. Further, alcoholic liver disease has been shown to be an established risk factor for CCA46. Biliary cysts were observed in all DEN-injected groups in our experimental model. However, mice receiving both alcohol and DEN showed both hepatic hyperplasia and biliary cysts. Cellular transformation of hepatic and biliary progenitors points towards the role of alcohol as tumor promoting agent for both hepatocyte and cholangiocyte (biliary epithelial) cell lineages.

The well accepted theory in cancer biology states that cancer originates from a small number of cancer stem cells (CSCs) or tumor initiating cells (TICs)47. These cells express unique stem cell markers which are not expressed by their adult differentiated counterparts. This small population of CSCs is able to extract more nutrients from the blood stream and proliferate faster48. We report significant up-regulation in AFP and CK19 both, markers of oval cells which are bipotent precursor cells in the liver that can contribute to the formation of hepatocytes as well as bile ducts22,23 and have been implicated in development of HCC and CCA20. However, recently it was shown that oval cells can also de-differentiate directly from mature liver cells such as hepatocytes21. Hence, the precise origin of these oval cells in our experimental model remains uncertain. A time course or in vivo cell lineage tracing study will help to ascertain the origin of these oval cells. Interestingly, adult murine liver oval cell population has been shown to express CD133, another stem cell marker49. CD133 and Nanog have been useful in identifying this CSC population in HCC17,18. The significant increase in liver CD133 and nanog of alcohol-fed DEN-injected mice suggests a synergistic effect of alcohol and DEN on the HCC cancer stem cells. Further, the CD133/CXCL1 pathway is shown to be up-regulated in human HCC17, whereas TGFβ can induce EMT transition and stem cell properties in CCA50. Given the highly elevated CXCL1 and TGFβ in alcohol plus DEN mice, a combination of both these may accelerate development of hepatobiliary cancer in our model. The presence of multiple well established stem cell makers (CD133, nanog, AFP, CK7, and CK19) provides strong evidence to the involvement of oval cells in development of HCC in this model. DEN pre-exposure could selectively up-regulate CK19 in oval cells and alcohol may accelerate the proliferation of these cells to the mixed phenotype of hepatobiliary cancer seen in our model. Tumor tissue is often characterized by up-regulation of proliferation markers. In addition, tumor tissue overexpresses EMT markers which are useful in hyperproliferation and angiogenesis. Loss of E-cadherin and up-regulation of N-cadherin along with induction of CCND1 are direct indicators of hyperproliferative hepatobiliary cells in alcohol plus DEN mice26.

Additional evidence of accelerated HCC development by alcohol is up-regulation of the Hedgehog (Hh) pathway in our model. Hh plays an important role in the development of tissues and is highly active during early stages of life27.The transcription factors associated with Hh signaling control the expression of several proteins important in cell cycle, cell differentiation and maturation27. Treatment with Hh antagonist is reported to promote regression of HCC in murine model51. Upon binding of Hh ligand to its receptor PTCH1, a seven membrane spanning receptor Smoothened (Smo) activates the downstream transcriptional cascade via Gli proteins. Using purmorphamine, an agonist of Smo, Gores et al. discovered the role of non-canonical Hh signaling in CCA52. The up-regulation of Gli-1, Hh target genes and the ligand Shh in alcohol plus DEN mice suggest that Hh pathway may drive the progression of the mixed phenotype of HCC and CCA in our experimental model.

The most abundant miRNA in the liver is miR-122. miR-122 expression increases during embryogenesis until it constitutes 72% of total miRNA in adult human liver53. However, decrease in hepatic miR-122 is known to be a tumor-specific event in humans54 as well as experimental animal models53. Anti-inflammatory and anti-tumorigenic role for hepatic miR-122 has been reported55. Further, loss of tissue miR-122 expression in liver cancer has been reported to correlate with gain of metastatic properties29. Consistent with this, we found decreased liver miR-122 and increased expression of molecular markers of HCC in DEN plus alcohol treated mice. Overexpression of miR-122 reduces tumorigenic properties in HCC cell lines56 and recent reports propose a unique therapeutic potential for miR-122 in liver diseases57. A number of validated miR-122 targets including cyclin G1, ADAM10, IGF1R, SRF, ADAM17 and Wnt1 are shown to be involved in hepatocarcinogenesis, epithelial-mesenchymal transition, and angiogenesis31,56,58. Our lab has recently shown that microRNA-122 regulates HIF-1α in hepatocytes in a diet-induced steatohepatitis model34. Hypoxia induced HIF-1α, a well studied transcription factor in cancer models, plays a pivotal role in advancement of tumor59. Interestingly, chronic alcohol is also known to induce HIF-1α expression and activity in the liver60. Thus, the hepatic HIF-1α activity may be under dual regulation in our model. Up-regulation of HIF-1α DNA binding activity and VEGFR1 mRNA in our experimental model upholds a role for miR-122 regulated HIF-1α in HCC development and progression.

Circulating miRs have been reported for their potential as biomarkers of drug induced liver injury35 as well as NASH61. Recent reports found that the change in plasma miR-122 concentration precedes the increase in aminotransferase activity in the blood, making it one of the earliest markers of liver injury62. Circulating miR-122 has been reported as a novel potential biomarker for diagnosis of different types of liver diseases including HCC35,57,63. Serum miR-122 was elevated in patients with HCC or chronic hepatitis64. A correlation of serum miR-122 with clinical chemistry parameters of liver injury, hepatic necro-inflammation is known and therefore use of serum miR-122 levels as prognostic markers in patients with hepatocellular carcinoma is suggested36. Our experimental data here shows a significant increase in serum miR-122 with a concurrent loss of miR-122 in the liver tissue thus acknowledging the proposed the role for miR-122 as a HCC biomarker in animal models. We found a significant positive correlation of serum miR-122 levels with established clinical markers of liver injury, ALT, serum AFP and histology.

In summary, by combining multiple DEN injections prior to chronic Lieber-DeCarli alcohol diet feeding, we have developed a mouse model that displays the features of hepatobiliary tumor. Our model involves a sequential step-wise progression of alcoholic liver disease to hepatobililary cancer with molecular signatures of HCC (Fig. 8). Importantly, our model involves mice with alcoholic steatohepatitis and has all the features usually associated with pathogenesis and diagnosis of human HCC. This combination presents one of the most unique phenomenons of chronic alcohol leading to progression of HCC that occurs in humans. In our opinion, availability of such a model will enable testing anti-cancer drugs in preclinical setup as well as provide opportunities to understand alcohol associated molecular and cellular mechanisms related to HCC.

Methods

Animal model of hepatobiliary carcinoma

To establish a mouse model of hepatobiliary cancer based on Lieber-DeCarli alcohol diet, we injected 4 week old C57bl/6 male mice with total 6 doses of DEN (Sigma, St. Louise, MO) intraperitoneally. As shown in supplementary Fig. S1, a dose of 75 mg/kg DEN was administered weekly for first 3 weeks and for later 3 weeks a dose of 100 mg/kg DEN was injected i.p. At week 8, the mice were divided into alcohol and pair-fed (control) groups. Two age matched groups of mice without DEN were included in the study to understand the effect of chronic alcohol feeding (Supplementary Fig. S1). Depending on the experimental design, mice were fed 4% Lieber-Decarli alcohol diet or calorie matched control diet for 6 weeks. At sacrifice, blood and liver tissues were collected for further assays. The study protocol was approved by the Institutional Animal Use and Care Committee of the University of Massachusetts Medical School. All the methods were carried out in accordance with the approved guidelines.

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) of liver was performed to monitor hyperplastic changes in liver. Images were obtained using 3T Philips Achieva whole-body MR scanner (Philips Medical Systems, Best, Netherlands) with a custom-made solenoid T/R coil with a diameter of 30 mm. The animals were anesthetized with 5% isoflurane mixed with carbogen (95% O2/5% CO2) and were maintained with 1% to 2% isofluorane. Coronal T2–weighted spin echo images were acquired with respiratory triggering to reduce the motion artifacts. The respiration rate was monitored with an optical probe (Model 1025 T Monitoring and Gating System, SA Instruments Inc, Stony Brook, NY). The output signal from the respiration monitor was used to trigger, in real time, the MR acquisition. As a consequence of the triggered acquisition, the TR value of around 2000 ms, corresponding to the respiration rate of around 30 bpm, was determined. Other imaging parameters were: echo time (TE) of 70 ms, flip angel of 90 degrees, TSE-factor of 8, number of average = 4, matrix size of 148 × 120, field of view of 30 × 25 mm2, slice thickness of 1 mm with no gap, acquisition time around 4 mins for 22 slices. Hyperplastic nodules were distinguished from normal liver tissues on basis of differences in homogeneity and signal intensity. Pixel based nodule area quantitation was performed using ImageJ software.

Biochemical Assays and cytokines

Serum alanine aminotransferase (ALT) activity was determined using a kinetic method (TECO Diagnostics, Anaheim, CA). Intracellular cytokine levels were monitored in liver whole cell lystate using TNFα, IL-6, MCP-1 ELISA kits (Biolegend, San Diego, CA). Liver thiobarbituric acid reactive substances (TBARS), a measure of oxidative stress, were estimated using TBARS assay kit (ZeptoMetrix, Buffalo, NY). Tissue IL-17 and serum AFP were assayed by ELISA (R&D systems, Minneapolis, MN).

EMSA

The DNA binding activity of HIF-1α was assessed by electrophoretic mobility shift assay as described previously60. Briefly, nuclear protein extract from liver (5 μg) was incubated with 50,000 cpm γ 32P-labeled HIF-1α consensus oligonucleotide at room temperature for 30 min. All reactions were run on a 4% polyacrylamide gel, and the dried gel was exposed to an X-ray film at −80 °C for different times. For the cold competition reaction, a 20-fold excess of same, unlabeled, double-stranded oligonucleotide was added to the reaction mixture before adding the labeled oligonucleotide probe.

RNA extraction and real-time PCR

Total RNA was extracted using the Direct-zol RNA MiniPrep according to the manufacturer’s instructions (Zymo Research, Irvin, CA). RNA was quantified using Nanodrop 2000 (Thermo Scientific, Wilmington, DE). Complementary DNA (cDNA) synthesis was performed by reverse transcription of total RNA using the iScript Reverse Transcription Supermix (BIO-RAD, Hercules, CA). Real-time quantitative PCR was performed using the CFX96 real-time detection system (Bio-Rad Laboratories, Hercules, CA). Primers were synthesized by IDT, Inc. (Coralville, IA). The primer sequences are listed in Table 1 below. Accumulation of PCR products was detected by monitoring the increase in fluorescence of double-stranded DNA-binding dye SYBR Green during amplification. Relative gene expression was calculated by the comparative cycle threshold (Ct) method. The expression level of target genes was normalized to the house-keeping gene, 18S rRNA, in each sample and the fold-change in the target gene expression between experimental groups was expressed as a ratio. Melt-curve analysis was used to confirm the authenticity of the PCR products.

Table 1. Primers used in this study.

Gene Forward Primer – 5′-3′ Reverse primer – 5′-3′
Gli1 GTCACTACCTGGCCTCACAC AAGACCTCCCATCCGATCCA
CCND2 AGGCTGTTTCTGTGGTCTCG GCTGCTCCCGTTTTCTCTCT
E-cadherin GGTATCTTGGTGTGGGTGCA AATCTGAGACGTGTGCAGCA
N-cadherin CACTGCCATTGATGCGGATG TGCCACAGTGATGATGTCCC
Nanog CTGGGCTTAAAGTCAGGGCA AAGATCTGACGCCCTCCTCT
Vimentin CGG AAA GTG GAA TCC TTG CA CAC ATC GAT CTG GAC ATG CTG T
Bcl-w AACTCACAGTCCAGTCCCCT GAAGTGCAGCAGTGAGGTCT
CCNG1 ACT CGT TCA CGA CAC CTT GCC A GCC AGC ACA GAA GGC TTT GCC
TNFα CAC CAC CAT CAA GGA CTC AA AGG CAA CCT GAC CAC TCT CC
IL-6 ACA ACC ACG GCC TTC CCT ACT T CAC GAT TTC CCA GAG AAC ATG TG
MCP-1 CAG GTC CCT GTC ATG CTT CT CAG GTC CCT GTC ATG CTT CT
IL-17A TCC CTC TGT GAT CTG GGA AG CTC GAC CCT GAA AGT GAA GG
αSMA GTC CCA GAC ATC AGG GAG TAA TCG GAT ACT TCA GCG TCA GGA
TGFβ ATT CCT GGC GTT ACC TTG CTG TAT TCC GTC TCC TTG GTT
Procollagen GCT CCT CTT AGG GGC CAC T CCA CGT CTC ACC ATT GGG G
AFP CTCCGAGTCCAGAAGGAAGAGTGGAC GCGGCCGCAGACTAGGAGAAGAGAAATAGTT
CCND1 AGC CTC CAG AGG GCT GTC GG TGG GGA GGG CTG TGG TCT CG
p53 CAC GTA CTC TCC TCC CCT CAA T AAC TGC ACA GGG CAC GTC TT
CD133 GAA AAG TTG CTC TGC GAA CC TCT CAA GCT GAA AAG CAG CA
OPN CTTTCACTCCAATCGTCCCTAC GGTCCTCATCTGTGGCATCA
CD44 CACCATCGAGAAGAGCACCC GAATGACTCTGTGTGGTGGC
HIF1α CAA GAT CTC GGC GAA GCA A GGT GAG CCT CAT AAC AGA AGC TTT
VEGFR1 ACA TTG GTG GTG GCT GAC TCT C CCT CTC CTT CGG CTG GCA TC
p21 TAG GGG AAT TGG AGT CAG GC AGA GAC AAC GGC ACA CTT TG
18 s GTA ACC CGT TGA ACC CCA TT CCA TCC AAT CGG TAG TAG CG

miRNA Analysis

Tissue samples were lysed in QIAzol Lysis reagent (Qiagen, Maryland, USA), homogenized with stainless steel beads in TissueLyser II (Qiagen, Maryland, USA) and incubated on ice for five minutes followed by miRNA isolation using Direct-zol RNA MiniPrep kit with on column DNase digestion (Zymo Research, Irvin, CA). Reverse transcription (30 min −16 °C; 30 min −42 °C; 5 min −85 °C) was performed in Eppendorf Mastercycler (Eppendorf, New York, USA) using 10 ng RNA, TaqMan primers and MiRNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA), followed by quantitative RT-PCR (10 min −95 °C; 40 cycles of 15 sec −95 °C; 1 min −60 °C) in CFX96 (Bio-Rad Laboratories, Hercules, CA) using TaqMan Universal PCR Master Mix (Biorad, Hercules, CA). All tissue results were normalized to snoRNA202 expression. Serum sample controls were spiked with Caenorhabditis elegans (cel)-miR-39, as per instructions (Qiagen, Gaithersburg, MD) and subsequently analyzed utilizing a primer pool. Briefly, serum cDNA synthesis was performed with a final 0.1x primer concentration and Applied Biosystems’s rtPCR kit followed by individual target-specific RT-qPCR analysis using Bio-Rad iTaq Universal Probes Master Mix according to manufacturer instructions.

Western blot analysis

Whole cell lysates, nuclear and cytoplasmic extracts were prepared from mouse livers as described previously60. Proteins of interest were detected by immunoblotting with specific primary antibodies against: cyclin D1 (SC-753; santacurz), p53 (ab28; abcam), vimentin (ab92547; Abcam), Shh (SC-9024, Santa Cruz), β-tubulin-HRP (ab185057; Abcam), GAPDH-HRP (ab9482; Abcam). Respective horseradish peroxidase–labeled secondary antibodies were from Santacruz Biotechnology (Dallas, TX). The specific immunoreactive bands of interest were detected by chemiluminescence (Bio-Rad, Hercules, CA). The immunoreactive bands were quantified by densitometric analysis using the UVP System (Bio-Rad Laboratories, Hercules, CA).

Histopathological analysis

Sections of formalin-fixed, paraffin-embedded livers were stained with hematoxylin and eosin (H&E), or Sirius Red and assessed for histological features of carcinoma and fibrosis. The H&E stained sections were independently examined by a veterinary pathologist, Dr. Garlick in a blinded manner (see acknowledgments). The quantitation of Sirius Red staining was performed using ImageJ software. Immunohistochemistry staining for AFP (ab46799; Abcam), CK7 (ab9021; Abcam), CK19 (ab52625; Abcam), was performed on formalin-fixed, paraffin-embedded livers according to the manufacturer’s instructions. To examine cell proliferation, mice were injected i.p. with 100 mg/kg BrdU (Sigma, St. Louise, MO) 2 hr prior to sacrifice, and paraffin sections were stained using the anti BrdU antibody (ab6326, Abcam). ImageJ (NIH) was used for image analysis.

Statistical Analysis

Statistical significance was determined using two – tailed t-test; two-way ANOVA and Dunnett’s multiple comparison post-test were used to compare the means of multiple groups. Data are shown as mean ± SD and were considered statistically significant at p < 0.05. GraphPad Prism 6.02 (GraphPad Software Inc., La Jolla, CA) was used for analysis.

Additional Information

How to cite this article: Ambade, A. et al. Alcoholic hepatitis accelerates early hepatobiliary cancer by increasing stemness and miR-122-mediated HIF-1α activation. Sci. Rep. 6, 21340; doi: 10.1038/srep21340 (2016).

Supplementary Material

Supplementary Information
srep21340-s1.pdf (149.2KB, pdf)

Acknowledgments

The authors would like to thank members of the Szabo lab for their stimulating intellectual discussions and scientific input. The help provided by Shaokuan Zheng (Department of Radiology) in acquisition of MRI data is acknowledged. We thank Dr. David Garlick of Cancer Biology Department at UMASS for histopathological examination of liver tissue sections and Merin MacDonald for assistance with formatting the manuscript. The authors are grateful to services provided by DERC (Immunohistochemistry) and CFAR (Primer Synthesis) core facilities at UMASS Medical School. CFAR core facility is supported by the University of Massachusetts Center for AIDS Research (P30 AI042845). This work was supported by NIH/NIAAA grant AA020744 to G.S.

Footnotes

Author Contributions A.A. and A.S. performed the animal experiments. A.A. acquired, analyzed and interpreted the data. A.A. and G.S. designed the experiments and wrote the manuscript. G.S. obtained the funding and provided overall study supervision.

References

  1. El-Serag H. B. Hepatocellular carcinoma. N. Engl. J. Med. 365, 1118–1127 (2011). [DOI] [PubMed] [Google Scholar]
  2. Torre L. A. et al. Global cancer statistics, 2012. CA Cancer. J. Clin. 65, 87–108 (2015). [DOI] [PubMed] [Google Scholar]
  3. Cancer Facts and Figures 2015. American Cancer Society, Atlanta. (2015). [Google Scholar]
  4. Ferlay J. et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer 136, E359–86 (2015). [DOI] [PubMed] [Google Scholar]
  5. Altekruse S. F., Henley S. J., Cucinelli J. E. & McGlynn K. A. Changing hepatocellular carcinoma incidence and liver cancer mortality rates in the United States. Am. J. Gastroenterol. 109, 542–553 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Sanyal A. J., Yoon S. K. & Lencioni R. The etiology of hepatocellular carcinoma and consequences for treatment. Oncologist 15 Suppl 4, 14–22 (2010). [DOI] [PubMed] [Google Scholar]
  7. Villanueva A., Newell P., Chiang D. Y., Friedman S. L. & Llovet J. M. Genomics and signaling pathways in hepatocellular carcinoma. Semin. Liver Dis. 27, 55–76 (2007). [DOI] [PubMed] [Google Scholar]
  8. Heindryckx F., Colle I. & Van Vlierberghe H. Experimental mouse models for hepatocellular carcinoma research. Int. J. Exp. Pathol. 90, 367–386 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Verna L., Whysner J. & Williams G. M. N-nitrosodiethylamine mechanistic data and risk assessment: bioactivation, DNA-adduct formation, mutagenicity and tumor initiation. Pharmacol. Ther. 71, 57–81 (1996). [DOI] [PubMed] [Google Scholar]
  10. Brandon-Warner E., Walling T. L., Schrum L. W. & McKillop I. H. Chronic ethanol feeding accelerates hepatocellular carcinoma progression in a sex-dependent manner in a mouse model of hepatocarcinogenesis. Alcohol. Clin. Exp. Res. 36, 641–653 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Cook R. T. et al. Thymocytes, pre-B cells and organ changes in a mouse model of chronic ethanol ingestion—absence of subset-specific glucocorticoid-induced immune cell loss. Alcohol. Clin. Exp. Res. 31, 1746–1758 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Elinav E. et al. Inflammation-induced cancer: crosstalk between tumours, immune cells and microorganisms. Nat. Rev. Cancer. 13, 759–771 (2013). [DOI] [PubMed] [Google Scholar]
  13. Kitisin K., Pishvaian M. J., Johnson L. B. & Mishra L. Liver stem cells and molecular signaling pathways in hepatocellular carcinoma. Gastrointest. Cancer. Res. 1, S13–21 (2007). [PMC free article] [PubMed] [Google Scholar]
  14. Szabo G. Gut-Liver Axis in Alcoholic Liver Disease. Gastroenterology 148, 30–36 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Ma S. et al. IL-17A produced by gammadelta T cells promotes tumor growth in hepatocellular carcinoma. Cancer Res. 74, 1969–1982 (2014). [DOI] [PubMed] [Google Scholar]
  16. Frazier T. H., Stocker A. M., Kershner N. A., Marsano L. S. & McClain C. J. Treatment of alcoholic liver disease. Therap Adv. Gastroenterol. 4, 63–81 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Tang K. H. et al. CD133(+) liver tumor-initiating cells promote tumor angiogenesis, growth and self-renewal through neurotensin/interleukin-8/CXCL1 signaling. Hepatology 55, 807–820 (2012). [DOI] [PubMed] [Google Scholar]
  18. Machida K. et al. Toll-like receptor 4 mediates synergism between alcohol and HCV in hepatic oncogenesis involving stem cell marker Nanog. Proc. Natl. Acad. Sci. USA 106, 1548–1553 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Abelev G. I. & Eraiser T. L. Cellular aspects of alpha-fetoprotein reexpression in tumors. Semin. Cancer Biol. 9, 95–107 (1999). [DOI] [PubMed] [Google Scholar]
  20. Lowes K. N., Brennan B. A., Yeoh G. C. & Olynyk J. K. Oval cell numbers in human chronic liver diseases are directly related to disease severity. Am. J. Pathol. 154, 537–541 (1999). [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Chen Y., Wong P. P., Sjeklocha L., Steer C. J. & Sahin M. B. Mature hepatocytes exhibit unexpected plasticity by direct dedifferentiation into liver progenitor cells in culture. Hepatology 55, 563–574 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Sell S. & Leffert H. L. Liver cancer stem cells. J. Clin. Oncol. 26, 2800–2805 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Fausto N. & Campbell J. S. The role of hepatocytes and oval cells in liver regeneration and repopulation. Mech. Dev. 120, 117–130 (2003). [DOI] [PubMed] [Google Scholar]
  24. Joo M., Kang Y. K., Kim M. R., Lee H. K. & Jang J. J. Cyclin D1 overexpression in hepatocellular carcinoma. Liver 21, 89–95 (2001). [DOI] [PubMed] [Google Scholar]
  25. van Zijl F. et al. Epithelial-mesenchymal transition in hepatocellular carcinoma. Future Oncol. 5, 1169–1179 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Nakagawa H. et al. Loss of liver E-cadherin induces sclerosing cholangitis and promotes carcinogenesis. Proc. Natl. Acad. Sci. USA 111, 1090–1095 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Katoh Y. & Katoh M. Hedgehog signaling pathway and gastrointestinal stem cell signaling network (review). Int. J. Mol. Med. 18, 1019–1023 (2006). [PubMed] [Google Scholar]
  28. Callegari E. et al. MicroRNAs in liver cancer: a model for investigating pathogenesis and novel therapeutic approaches. Cell Death Differ. 22, 46–57 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Coulouarn C., Factor V. M., Andersen J. B., Durkin M. E. & Thorgeirsson S. S. Loss of miR-122 expression in liver cancer correlates with suppression of the hepatic phenotype and gain of metastatic properties. Oncogene 28, 3526–3536 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Gramantieri L. et al. Cyclin G1 is a target of miR-122a, a microRNA frequently down-regulated in human hepatocellular carcinoma. Cancer Res. 67, 6092–6099 (2007). [DOI] [PubMed] [Google Scholar]
  31. Fornari F. et al. MiR-122/cyclin G1 interaction modulates p53 activity and affects doxorubicin sensitivity of human hepatocarcinoma cells. Cancer Res. 69, 5761–5767 (2009). [DOI] [PubMed] [Google Scholar]
  32. Rockwell S., Dobrucki I. T., Kim E. Y., Marrison S. T. & Vu V. T. Hypoxia and radiation therapy: past history, ongoing research and future promise. Curr. Mol. Med. 9, 442–458 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Wu X. Z., Xie G. R. & Chen D. Hypoxia and hepatocellular carcinoma: The therapeutic target for hepatocellular carcinoma. J. Gastroenterol. Hepatol. 22, 1178–1182 (2007). [DOI] [PubMed] [Google Scholar]
  34. Csak T. et al. microRNA-122 regulates hypoxia-inducible factor-1 and vimentin in hepatocytes and correlates with fibrosis in diet-induced steatohepatitis. Liver Int. 35, 532–541 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Wang J., Zhang K. Y., Liu S. M. & Sen S. Tumor-associated circulating microRNAs as biomarkers of cancer. Molecules 19, 1912–1938 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Koberle V. et al. Serum microRNA-1 and microRNA-122 are prognostic markers in patients with hepatocellular carcinoma. Eur. J. Cancer 49, 3442–3449 (2013). [DOI] [PubMed] [Google Scholar]
  37. O’Shea R. S., Dasarathy S. & McCullough A. J., Practice Guideline Committee of the American Association for the Study of Liver Diseases & Practice Parameters Committee of the American College of Gastroenterology. Alcoholic liver disease. Hepatology 51, 307–328 (2010). [DOI] [PubMed] [Google Scholar]
  38. Brandon-Warner E., Schrum L. W., Schmidt C. M. & McKillop I. H. Rodent models of alcoholic liver disease: of mice and men. Alcohol 46, 715–725 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Lieber C. S. & DeCarli L. M. The feeding of alcohol in liquid diets: two decades of applications and 1982 update. Alcohol. Clin. Exp. Res. 6, 523–531 (1982). [DOI] [PubMed] [Google Scholar]
  40. Chowdhury G., Calcutt M. W., Nagy L. D. & Guengerich F. P. Oxidation of methyl and ethyl nitrosamines by cytochrome P450 2E1 and 2B1. Biochemistry 51, 9995–10007 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Waris G. & Ahsan H. Reactive oxygen species: role in the development of cancer and various chronic conditions. J. Carcinog. 5, 14 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Reuter S., Gupta S. C., Chaturvedi M. M. & Aggarwal B. B. Oxidative stress, inflammation and cancer: how are they linked? Free Radic. Biol. Med. 49, 1603–1616 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Umemura T. et al. Pentachlorophenol (but not phenobarbital) promotes intrahepatic biliary cysts induced by diethylnitrosamine to cholangio cystic neoplasms in B6C3F1 mice possibly due to oxidative stress. Toxicol. Pathol. 31, 10–13 (2003). [DOI] [PubMed] [Google Scholar]
  44. Soreide K. & Soreide J. A. Bile duct cyst as precursor to biliary tract cancer. Ann. Surg. Oncol. 14, 1200–1211 (2007). [DOI] [PubMed] [Google Scholar]
  45. Tyson G. L. & El-Serag H. B. Risk factors for cholangiocarcinoma. Hepatology 54, 173–184 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Welzel T. M. et al. Risk factors for intrahepatic and extrahepatic cholangiocarcinoma in the United States: a population-based case-control study. Clin. Gastroenterol. Hepatol. 5, 1221–1228 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Yamashita T. & Wang X. W. Cancer stem cells in the development of liver cancer. J. Clin. Invest. 123, 1911–1918 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Oishi N., Yamashita T. & Kaneko S. Molecular biology of liver cancer stem cells. Liver Cancer. 3, 71–84 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Rountree C. B. et al. A CD133-expressing murine liver oval cell population with bilineage potential. Stem Cells 25, 2419–2429 (2007). [DOI] [PubMed] [Google Scholar]
  50. Shuang Z. Y. et al. Transforming growth factor-beta1-induced epithelial-mesenchymal transition generates ALDH-positive cells with stem cell properties in cholangiocarcinoma. Cancer Lett. 354, 320–328 (2014). [DOI] [PubMed] [Google Scholar]
  51. Philips G. M. et al. Hedgehog signaling antagonist promotes regression of both liver fibrosis and hepatocellular carcinoma in a murine model of primary liver cancer. PLoS One 6, e23943 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Razumilava N. et al. Non-canonical Hedgehog signaling contributes to chemotaxis in cholangiocarcinoma. J. Hepatol. 60, 599–605 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Tsai W. C. et al. MicroRNA-122 plays a critical role in liver homeostasis and hepatocarcinogenesis. J. Clin. Invest. 122, 2884–2897 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Kutay H. et al. Downregulation of miR-122 in the rodent and human hepatocellular carcinomas. J. Cell. Biochem. 99, 671–678 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Hsu S. H. et al. Essential metabolic, anti-inflammatory and anti-tumorigenic functions of miR-122 in liver. J. Clin. Invest. 122, 2871–2883 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Bai S. et al. MicroRNA-122 inhibits tumorigenic properties of hepatocellular carcinoma cells and sensitizes these cells to sorafenib. J. Biol. Chem. 284, 32015–32027 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Thakral S. & Ghoshal K. miR-122 is a Unique Molecule with Great Potential in Diagnosis, Prognosis of Liver Disease and Therapy Both as miRNA Mimic and Antimir. Curr. Gene Ther. 15, 142–150 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Nakao K., Miyaaki H. & Ichikawa T. Antitumor function of microRNA-122 against hepatocellular carcinoma. J. Gastroenterol. 49, 589–593 (2014). [DOI] [PubMed] [Google Scholar]
  59. Semenza G. L. HIF-1 mediates metabolic responses to intratumoral hypoxia and oncogenic mutations. J. Clin. Invest. 123, 3664–3671 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Nath B. et al. Hepatocyte-specific hypoxia-inducible factor-1alpha is a determinant of lipid accumulation and liver injury in alcohol-induced steatosis in mice. Hepatology 53, 1526–1537 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Pirola C. J. et al. Circulating microRNA signature in non-alcoholic fatty liver disease: from serum non-coding RNAs to liver histology and disease pathogenesis. Gut 64, 800–812 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Bala S. et al. Circulating microRNAs in exosomes indicate hepatocyte injury and inflammation in alcoholic, drug-induced and inflammatory liver diseases. Hepatology 56, 1946–1957 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Shifeng H. et al. Circulating liver-specific miR-122 as a novel potential biomarker for diagnosis of cholestatic liver injury. PLoS One 8, e73133 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Xu J. et al. Circulating microRNAs, miR-21, miR-122 and miR-223, in patients with hepatocellular carcinoma or chronic hepatitis. Mol. Carcinog. 50, 136–142 (2011). [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplementary Information
srep21340-s1.pdf (149.2KB, pdf)

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES