Abstract
Background & Aims
Liver lobules are typically subdivided into 3 metabolic zones: zones 1, 2, and 3. However, the contribution of zonal differences in hepatocytes to liver regeneration, as well as to carcinogenic susceptibility, remains unclear.
Methods
We developed a new method for sustained genetic labelling of zone 3 hepatocytes and performed fate tracing to monitor these cells in multiple mouse liver tumour models.
Results
We first examined changes in the zonal distribution of the Wnt target gene Axin2 over time using Axin2-CreERT2;Rosa26-Lox-Stop-Lox-tdTomato mice (Axin2;tdTomato). We found that following tamoxifen administration at 3 weeks of age, approximately one-third of total hepatocytes that correspond to zone 3 were labelled in Axin2;tdTomato mice; the tdTomato+ cell distribution closely matched that of the zone 3 marker CYP2E1. Cell fate analysis revealed that zone 3 hepatocytes maintained their own lineage but rarely proliferated beyond their liver zonation during homoeostasis; this indicated that our protocol enabled persistent genetic labelling of zone 3 hepatocytes. Using this system, we found that zone 3 hepatocytes generally had high neoplastic potential, which was promoted by constitutive activation of Wnt/β-catenin signalling in the pericentral area. However, the frequency of zone 3 hepatocyte-derived tumours varied depending on the regeneration pattern of the liver parenchyma in response to liver injury. Notably, Axin2-expressing hepatocytes undergoing chronic liver injury significantly contributed to liver regeneration and possessed high neoplastic potential. Additionally, we revealed that the metabolic phenotypes of liver tumours were acquired during tumorigenesis, irrespective of their spatial origin.
Conclusions
Hepatocytes receiving Wnt/β-catenin signalling from their microenvironment have high neoplastic potential, and Wnt/β-catenin signalling is a potential drug target for the prevention of hepatocellular carcinoma.
Lay summary
Lineage tracing revealed that zone 3 hepatocytes residing in the pericentral niche have high neoplastic potential. Under chronic liver injury, hepatocytes receiving Wnt/β-catenin signalling broadly exist across all hepatic zones and significantly contribute to liver tumorigenesis as well as liver regeneration. Wnt/β-catenin signalling is a potential drug target for the prevention of hepatocellular carcinoma.
Keywords: Hepatocellular carcinoma, Liver regeneration, Metabolic dysfunction-associated fatty liver disease, Wnt/β-catenin signal, Metabolic zonation
Abbreviations: CDAHFD, choline-deficient l-amino acid-defined, high-fat diet; CPS1, carbamoyl phosphate synthetase 1; CYP2E1, cytochrome P450 subfamily 2E1; DEN, diethylnitrosamine; GS, glutamine synthetase; HAL, histidine ammonia lyase; HCC, hepatocellular carcinoma; HFD, high-fat diet; IF, immunofluorescence; ISH, in situ hybridisation; MAFLD, metabolic dysfunction-associated fatty liver disease; MUP, major urinary protein; ND, normal diet; PIK3CATg, hepatocyte-specific transgenic mice harbouring mutant PIK3CA variant; PP, periportal; PV, perivenous; RFP, red fluorescent protein; TAM, tamoxifen; TUNEL, terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick-end labelling; WT, wild-type
Graphical abstract
Highlights
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We developed a new method for sustained genetic labelling of Zone 3 hepatocytes.
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Lineage tracing revealed that Zone 3 hepatocytes generally have high neoplastic potential.
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The frequency of Zone 3 hepatocyte-derived tumours varied depending on the regeneration pattern of liver parenchyma.
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Under chronic liver injury, hepatocytes receiving Wnt/β-catenin signalling significantly contributed to tumorigenesis.
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Wnt/β-catenin signalling is a potential drug target for the prevention of HCC.
Introduction
The liver is composed of small divisions, so-called liver lobules, which consist of a portal triad, linear cords of hepatocytes that are separated by adjacent sinusoids, and a central vein. Liver lobules are typically subdivided into 3 metabolic zones: Zones 1, 2, and 3.[1], [2], [3] Zone 1 hepatocytes encircle portal tracts that are exposed to nutrient- and oxygen-rich blood; they are engaged mainly in glycogen synthesis, gluconeogenesis, protein synthesis, urea synthesis, and β-oxidation of lipids. Zone 3 hepatocytes are located around the central veins and are responsible for glycolysis, lipogenesis, and biotransformation reactions. Zone 2 hepatocytes are located between zones 1 and 3 and have an intermediate phenotype. In a recent report, single-cell RNA sequencing and single-molecule in situ hybridisation (ISH) were applied to demonstrate that liver lobules can be further subdivided into 9 layers based on the expression of zonated landmark genes.4 Thus, although hepatocytes appear to be histologically homogenous, they are functionally heterogeneous.
Wnt/β-catenin signalling plays a pivotal role in determining the function of each hepatic zone.1 β-catenin signalling is activated in zone 3 pericentral hepatocytes under normal conditions, and inhibition of this pathway prevents pericentral metabolic gene expression in mice.[5], [6], [7] Wnt and R-spondin ligands secreted from central vein endothelial cells maintain activation of Wnt/β-catenin signalling in zone 3 hepatocytes.3,8 Recent cell fate tracing studies in mice have enriched our understanding of tissue homoeostasis of the liver. Wang et al.8 reported that the first few layers of pericentral hepatocytes, as marked by the Wnt target gene Axin2, stream from the pericentral to the periportal area and repopulate the majority of hepatocytes during homoeostasis, suggesting that pericentral Wnt-receiving hepatocytes act as stem cells in the liver. However, several recent studies have presented evidence against this study and demonstrated that all hepatocytes have similar proliferative potential, regardless of their location.6,[9], [10], [11], [12] Furthermore, 2 very recent studies showed that zone 2 is the region with the highest homoeostatic hepatocyte proliferation.13,14 Therefore, the mechanism of liver regeneration, including repair responses to liver injury, is still a matter of debate.
The cellular origin of hepatocellular carcinoma (HCC) is another disputed topic. More than 90% of HCCs develop in the context of chronic liver disease.15 Although hepatitis viral infection is the major cause of HCC at present, metabolic dysfunction-associated fatty liver disease (MAFLD)-based HCC is increasing and is predicted to become the leading cause.16 Bipotential liver progenitor cells in the biliary compartment proliferate during chronic liver injury and, until recently, were thought to be the origin of HCC. However, recent genetic lineage tracing experiments have suggested that hepatocytes, not biliary cells, are the major cellular source of HCC, even under chronic liver stress.[17], [18], [19] In contrast, the effect of zonal differences on the susceptibility of hepatocytes to carcinogenesis has not yet been elucidated.
Here, we hypothesised that zone 3 hepatocytes have high carcinogenic potential, especially in MAFLD-related hepatocarcinogenesis, because of the following reasons. First, in a previous study, periportal hepatocytes expressing Sox9 did not progress into HCC in several mouse models.19 Second, pericentral zone 3 hepatocytes are continuously exposed to Wnt/β-catenin signalling, which is an important driver of HCC development.20 Third, zone 3 hepatocytes abundantly express enzymes involved in xenobiotic detoxification (such as CYP2E1), making them a major site of oxidative stress.21 Fourth, zone 3 hepatocytes have the highest rate of lipogenesis and are the main site of lipid accumulation in MAFLD, which results in oxidative DNA damage.22
Thus, in this study, we developed a new method for sustained genetic labelling of zone 3 hepatocytes and analysed the behaviour and neoplastic potential of these cells using multiple mouse models, with a particular focus on MAFLD-associated liver injury and HCC.
Materials and methods
Animal experiments
Axin2-CreERT and Rosa26-LSL-tdTomato mice were purchased from the Jackson Laboratory. MUP-uPA and PIK3CATg mice were generated as described previously.23,24 Wild-type (WT) C57BL/6 mice were purchased from CLEA Japan (Tokyo, Japan). All mice were of the C57BL/6 genetic background. Only male mice were used for the models of liver tumorigenesis. All experiments were approved by the Ethics Committee for Animal Experimentation of the University of Tokyo and the Institute for Adult Diseases, Asahi Life Foundation. All experiments were conducted according to the Guidelines for the Care and Use of Laboratory Animals.
Histology
Liver tissues were processed for H&E staining and immunostaining as described previously.25 In the case of ISH, perfusion fixation was performed with 4% paraformaldehyde, and Axin2 mRNA was detected using an RNAscope 2.5 HD Reagent Kit RED (Advanced Cell Diagnostics, Newark, CA, USA).26 Whole-mount fluorescent images and tile scan images were obtained using the MVX100 (Olympus, Tokyo, Japan) and DMi8 (Leica, Wetzlar, Germany) microscopes, respectively. We assessed the expression of red fluorescent protein (RFP) in liver tumours that were larger than 1 mm in diameter. The detailed methods for immunostaining are described in the Supplementary methods and Table S1.
Statistical analyses
Statistical analyses were performed using Student’s t test or Tukey’s multiple comparison test where appropriate. Values of p <0.05 indicate statistical significance. Results are expressed as the mean ± SEM. All data analyses were performed using GraphPad Prism 8.0 software (GraphPad Software, San Diego, CA, USA).
Additional details are provided in the Supplementary methods.
Results
Development of a persistent genetic labelling system for Zone 3 hepatocytes
The activation of Wnt/β-catenin signalling in the liver is enhanced during postnatal days 5–20 and then gradually declines with age.27 However, the spatial distribution of Wnt/β-catenin activation has not yet been explored. Here, we analysed the hepatic zonal distribution of Wnt/β-catenin activation over time by marking the Wnt target gene Axin2 using Axin2-CreERT2 mice crossed with Rosa26-Lox-Stop-Lox-tdTomato reporter mice (Axin2;tdTomato).28 Axin2;tdTomato mice aged 2, 3, 4, 5, or 8 weeks were administered tamoxifen (TAM) intraperitoneally, and tdTomato expression was analysed 2 days after TAM administration by immunofluorescence (IF) using anti-RFP antibody. Axin2+ hepatocytes were located around the central veins as reported previously,8 but their number changed dramatically with postnatal age (Fig. 1A,B); 70.6% of total hepatocytes were labelled with RFP at 2 weeks of age, after which the RFP+ area gradually shrank within the pericentral area. The RFP+ cell area plateaued at 5 weeks of age (7.0% of total hepatocytes). ISH analyses using an Axin2-specific RNA probe in WT mice also revealed that Axin2 mRNA was expressed broadly in the pericentral area at 3 weeks of age but was localised in 1 to 2 layers of hepatocytes surrounding the central vein at 5 weeks of age (Fig. S1). Notably, approximately one-third of total hepatocytes (35.9%) were labelled when TAM was administered to 3-week-old mice, and the RFP+ distribution pattern coincided with the expression of the typical zone 3 hepatocyte marker CYP2E1 (86.7 ± 2.69% of CYP2E1+ hepatocytes). RFP+ labelling also presented a mutually exclusive expression pattern with the zone 1 hepatocyte marker E-cadherin (2.3 ± 0.1% of E-cadherin+ hepatocytes; Fig. 1C). In addition, RFP-expressing hepatocytes rarely expressed histidine ammonia lyase (HAL), a broader periportal marker expressed in zones 1 and 2 (4.7 ± 0.3% of HAL+ hepatocytes).29 The administration of TAM to 3-week-old Axin2;tdTomato mice therefore resulted in the labelling of zone 3 hepatocytes.
Next, we traced the fate of zone 3 hepatocytes labelled in 3-week-old Axin2;tdTomato mice. Whole-mount fluorescence analysis revealed clear zonation of RFP expression at 2 days after TAM administration, and this expression pattern was conserved 50 weeks later (Fig. 1D). Similarly, microscopic analysis showed that the distribution and number of RFP+ hepatocytes remained almost unchanged during this period, and hepatocytes expressing RFP still mostly co-expressed CYP2E1, but rarely E-cadherin and HAL, at 50 weeks after TAM administration (Fig. 1E–G). These findings indicated that zone 3 hepatocytes maintained their own lineage but rarely proliferated beyond the liver zonation during homoeostasis. In other words, this protocol enabled persistent genetic labelling of zone 3 hepatocytes, and we applied this tool to analyse the behaviour of zone 3 hepatocytes under various conditions.
Fate tracing of Zone 3 hepatocytes
To analyse the behaviour and neoplastic potential of zone 3 hepatocytes, we performed fate tracing of zone 3 hepatocytes in 5 mouse models of liver tumorigenesis: diethylnitrosamine (DEN) treatment and feeding with a normal diet (DEN + ND),30 DEN treatment and feeding with a high-fat diet (DEN + HFD),31 HFD-fed major urinary protein-urokinase plasminogen activator (MUP-uPA) transgenic mice (MUP + HFD),23 choline-deficient l-amino acid-defined, high-fat diet (CDAHFD) feeding model,32 and hepatocyte-specific transgenic mice harbouring mutant PIK3CA variant (PIK3CATg).24 These are all MAFLD-driven liver tumour models, with the exception of the DEN + ND model.33 The MUP + HFD and CDAHFD models are steatohepatitis-mediated liver tumour models accompanied by chronic hepatocyte death and compensatory proliferation, whereas PIK3CATg mice develop hepatic steatosis-based liver tumours without apparent hepatocyte death and inflammation. The experimental protocols for generating each mouse model are shown in Fig. 2A.
We confirmed that the distribution of RFP+ hepatocytes in 3-week-old MUP-uPA;Axin2;tdTomato and PIK3CATg;Axin2;tdTomato mice was similar to that in 3-week-old Axin2;tdTomato mice (Fig. S2A). We then showed that DEN administration at 2 weeks of age did not affect the distribution of RFP+ hepatocytes in 3-week-old Axin2;tdTomato mice (Fig. 2B).
Fig. 2B,C shows the macroscopic appearance and tile scan images of H&E-stained and RFP-stained liver lobes harvested at the end of the experimental protocol for each mouse model. We first analysed the fate of zone 3 hepatocytes in non-tumour liver parenchyma. The number and distribution of RFP+ hepatocytes in the DEN + ND model were similar to those in DEN-untreated Axin2;tdTomato mice, whereas in HFD-fed mice, the RFP+ area was slightly shifted toward the central vein, and the number of RFP+ hepatocytes was lower (28.3%) (Fig. 2D,E). This suggests that HFD feeding promoted regeneration from zone 1/2 hepatocytes. Moreover, in the CDAHFD model, the RFP+ area in non-tumour tissues was much smaller (22.1%) and localised near the central vein (Fig. 2D,E). In contrast, in the MUP + HFD model, the number of RFP+ hepatocytes in non-tumour areas was increased by 46.6%, and many RFP+ hepatocytes had reached the periportal area (Fig. 2C–E). The RFP+ hepatocytes that had extended to the periportal area expressed zone 1 hepatocyte marker E-cadherin and periportal metabolic enzymes such as HAL and the urea cycle enzyme carbamoyl phosphate synthetase 1 (CPS1), but not the zone 3 metabolic enzyme cytochrome P450 subfamily 2E1 (CYP2E1; Fig. 2F). This indicates that hepatocytes that had originated from zone 3 were reprogrammed and had gained the functions of zone 1/2 hepatocytes. Conversely, some hepatocytes in the pericentral area had been replaced by RFP- hepatocytes expressing CYP2E1, indicative of bidirectional regeneration in the MUP + HFD model (Fig. 2F). In the PIK3CATg model, the RFP+ area remained largely unchanged 1 year after TAM administration (Fig. 2D,E).
Hepatocytes are largely quiescent during homoeostasis but proliferate to replace dead hepatocytes during chronic liver injury, eventually leading to tumour development.15 Hence, to investigate the differences in liver regeneration patterns between the mouse models, we assessed the zonal location of dying and proliferating hepatocytes in each model. We first analysed the CDAHFD and MUP + HFD models, as these models showed dramatic changes in the number and distribution of RFP+ hepatocytes. We used liver samples obtained from 24-week-old mice in each model that revealed a high rate of cell death and compensatory proliferation. As reported previously,23 apoptotic cells and necrotic cells were stained as nuclear fragmentation and diffuse cytoplasmic pattern, respectively, by terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick-end labelling (TUNEL) staining in the CDAHFD and MUP + HFD models (Fig. 3A). Dying hepatocytes were abundant in zone 3 in the CDAHFD model, whereas the MUP + HFD model presented a nearly even distribution of dying hepatocytes, with a slightly higher frequency in zones 1 and 2. Ki67+ proliferating hepatocytes were more abundant in zones 1 and 2 in the CDAHFD model, whereas the proliferating cells were distributed evenly across all 3 zones with a slightly higher frequency in zone 3 in the MUP + HFD model (Fig. 3A). These findings indicate that the frequency and location of hepatocellular damage determines the regeneration pattern of liver parenchyma (Fig. 3B). We also analysed the DEN + ND, DEN + HFD, and PIK3CATg models and found that the number of Ki67+ proliferating hepatocytes as well as TUNEL+ dying hepatocytes was very few, which could result in a relatively stable RFP+ area in liver parenchyma (Fig. S3).
Neoplastic potential of Zone 3 hepatocytes
Next, we analysed the neoplastic potential of zone 3 hepatocytes. All tumours that developed in each mouse model were hepatocellular neoplasms, including HCC and hepatocellular adenoma, but not biliary neoplasms (Fig. 4A,B). Assuming that liver tumours arise uniformly from all hepatic zones, the frequency of RFP-expressing liver tumours was expected to be approximately 35% in all mouse models, which was calculated from the initial RFP positive rate of hepatocytes. Of the DEN-initiated liver tumour models, the rate of RFP-expressing tumours was 80.7% for the DEN + ND model and 55.8% for the DEN + HFD model, both of which exhibited higher RFP expression rates than initially estimated (Fig. 4C,D). As DEN is mainly considered to be metabolically activated in zone 3 hepatocytes expressing CYP2E1,34 these results were reasonable and indicated the validity of this experimental system. High frequencies of RFP+ tumours were also observed in the MUP + HFD model (67.0%) and PIK3CATg model (67.6%), which were approximately twice as high as estimated. By contrast, only the CDAHFD model presented a lower than expected rate of RFP+ tumours (25.0%) (Fig. 4D). Zone 3 hepatocytes therefore possessed higher neoplastic potential than estimated initially, except for those in the CDAHFD model.
Importantly, the frequency of RFP+ tumours generally corresponded to the changes of the RFP+ hepatocytes in non-tumour areas across all mouse models (Fig. 2, Fig. 4D). A typical example is the CDAHFD model, which displayed the lowest frequency of RFP+ tumours as well as significant regeneration from zone 1/2 hepatocytes. Furthermore, contrary to our expectations, the frequency of RFP+ tumours in the DEN model was relatively low in HFD-fed mice, despite the significantly higher number of liver tumours (Fig. 4E). The number of RFP+ tumours was comparable between the DEN + ND and DEN + HFD models, whereas the number of RFP- tumours was significantly higher in HFD-fed mice (Fig. 4E); this suggests that HFD feeding promoted zone 1/2 hepatocyte-derived tumour development along with liver regeneration from zone 1/2 hepatocyte. Taken together, although zone 3 hepatocytes generally possess high neoplastic potential, the frequency of zone 3 hepatocyte-derived tumours varied depending on the regeneration pattern of liver parenchyma (Fig. 4F).
Inhibition of the pericentral Wnt/β-catenin-activating niche suppresses DEN-induced hepatocarcinogenesis
β-Catenin mutation is often observed during early hepatocarcinogenesis in humans, and activation of Wnt/β-catenin signalling is involved in maintaining HCC-initiating cells.35,36 However, mouse HCCs induced by DEN do not show mutation and/or activation of Wnt/β-catenin pathway components.37 Consistent with this finding, expression of glutamine synthetase (GS), a surrogate β-catenin target, was not present in DEN-induced HCC tissues developed in Axin2;tdTomato mice at 8 months of age, irrespective of RFP expression (Fig. 5A). Interestingly, premalignant foci located in the pericentral area often expressed GS and RFP in 5-month-old DEN-injected Axin2;tdTomato mice (Fig. 5A). Based on these findings, we hypothesised that pericentral activation of Wnt/β-catenin signalling in zone 3 might provide a niche in which tumour-initiating cells can survive and grow during early hepatocarcinogenesis. To test this hypothesis, we treated DEN-injected WT mice with porcupine inhibitor LGK974, which inhibits palmitoylation and secretion of Wnt family proteins. First, we demonstrated that expression of tdTomato as well as Axin2 mRNA was significantly lower in 5-week-old Axin2;tdTomato mouse livers following LGK974 administration, which indicated efficient inhibition of Wnt/β-catenin signalling (Fig. 5B). Next, we injected 2-week-old WT mice with DEN and then treated the mice with LGK974 or vehicle control for a 3-month period at ages 2–5 months; this period is considered the promotion phase of DEN-induced hepatocarcinogenesis. We also treated DEN-injected Axin2;tdTomato mice with LGK974 and confirmed the decreased GS expression in pericentral premalignant foci at 5 months of age (Fig. 5C). Then we analysed tumour development at 8 months after DEN injection. As shown in Fig. 5D,E, the HCC incidence rate and tumour growth were significantly reduced in mice treated with LGK974. These findings suggest that a pericentral Wnt/β-catenin-activating niche may promote HCC development in zone 3 hepatocytes.
Axin2-expressing hepatocytes subjected to chronic liver injury contribute to liver regeneration but possess high neoplastic potential
Next, we explored the role of Axin2-expressing hepatocytes during chronic liver injury. MUP-uPA mice undergo transient liver injury that starts at approximately 4 weeks of age and resolves by 13 weeks.38 However, subjecting MUP-uPA mice to a HFD from 6 weeks of age induced steatohepatitis and sustained hepatocyte death, which results in compensatory hepatocyte proliferation and HCC development.23 Thus, we began by examining Axin2 expression in 5-week-old MUP-uPA;Axin2;tdTomato mice experiencing liver injury (Fig. 6A). The number of RFP + hepatocytes was significantly higher in MUP-uPA;Axin2;tdTomato mice than in Axin2;tdTomato mice at age 5 weeks, and RFP+ hepatocytes of MUP-uPA;Axin2;tdTomato mice were not restricted to zone 3 but were scattered across all 3 hepatic zones and sometimes expressed HAL and E-cadherin (Fig. 6B and Fig. S4). Such a distribution of Axin2-expressing cells was confirmed by ISH analysis of Axin2 mRNA (Fig. 6C). Interestingly, the frequency of Ki67 expression in RFP+ cells was significantly higher than that in RFP- cells (Fig. 6D). To evaluate the contribution of these Axin2-expressing hepatocytes to liver regeneration and tumorigenesis, we labelled Axin2+ cells in MUP-uPA;Axin2;tdTomato mice at 5 weeks of age and began HFD feeding at 6 weeks; we then analysed RFP expression at 46 weeks of age (Fig. 6E). Notably, whole-mount fluorescence analysis revealed that most liver tissues, as well as liver tumours, expressed tdTomato (Fig. 6E). Histological analyses showed that 86.5% of the liver tumours (90/104; liver analysed, n = 8) were positive for RFP, and 88.7 ± 1.3% of hepatocytes in non-tumour liver parenchyma were replaced with RFP+ cells (Fig. 6F). By contrast, under normal conditions, RFP+ cells labelled at 5 weeks of age in Axin2;tdTomato mice revealed only slight expansion at 46 weeks of age (5 weeks, 6.9 ± 0.3%; 46 weeks, 8.3 ± 0.6%; p = 0.01). These findings indicated that Axin2-expressing hepatocytes subjected to chronic liver injury significantly contributed to liver regeneration and possessed high neoplastic potential (Fig. 6G).
Spatial origin does not determine the metabolic phenotype of liver tumours
A recent study identified 2 well-differentiated subclasses of HCC, named ‘perivenous (PV)-type HCC’ and ‘periportal (PP)-type HCC’, according to where their phenotypes lie on the metabolic zonation spectrum.29 However, it is still unclear whether the metabolic phenotypes of HCC tumours are inherited from their spatial origin or acquired during tumorigenesis. To address this, we compared the expression of various zonation markers between RFP+ (perivenular hepatocyte-derived) and RFP- (periportal hepatocyte-derived) tumours. As shown in Fig. 7, the PV-type HCC marker GS was expressed in relatively few tumours in our 5 mouse models. Another PV-type HCC marker, CYP2E1, was not expressed at all, even in RFP+ tumour cells that had originally expressed CYP2E1 before developing into tumours. The PP-type HCC markers E-cadherin, CPS1, and HAL were expressed in most tumour cells, regardless of RFP expression (Fig. 7). These findings indicate that the liver tumours developed in this study were mostly the PP-type metabolic phenotype regardless of their spatial origin and that their phenotypes were acquired during tumorigenesis.
Discussion
Very few studies, so far, have investigated the zonal location of the cellular origin of HCC. Font-Burgada et al.19 genetically labelled 1 to 2 layers of periportal Sox9+ hepatocytes (accounting for 2.9% of total hepatocytes) and showed that the Sox9+ periportal hepatocytes did not give rise to HCC. During the preparation of this manuscript, Ang et al.39 genetically labelled a few layers of pericentral LGR5+ hepatocytes (accounting for 2% of total hepatocytes) and showed that approximately 40% of DEN-induced HCCs were derived from LGR5+ pericentral hepatocytes. They also showed that induction of active Her2 mutation in LGR5+ pericentral hepatocytes promoted HCC development. These findings suggest that pericentral hepatocytes may be more susceptible to neoplastic transformation than periportal hepatocytes. However, because these studies marked small percentages of the total hepatocyte population, they were not able to elucidate completely the zonal differences in neoplastic potential within the liver. In this study, we labelled zone 3 hepatocytes, which accounted for approximately one-third of total hepatocytes, making it possible to compare the neoplastic potential of hepatocytes depending on their zonal location.
An advantage of our study is that we used various types of liver tumour mouse models, including chemical carcinogen models, chronic liver injury models, and a transgenic mouse model that lacks cell death and inflammation. The PIK3CATg model enables the simplest comparison of the neoplastic potential between pericentral and periportal hepatocytes, because the RFP+ areas in non-tumour liver tissue were almost unchanged during the observation period in this model. Nevertheless, approximately two-thirds of liver tumours expressed RFP, indicative of the high neoplastic potential of zone 3 hepatocytes. Furthermore, inhibition of Wnt/β-catenin signalling significantly reduced HCC development in the DEN + ND model, in which Wnt/β-catenin signalling was no longer activated in developed tumours. This suggests that a Wnt/β-catenin-activating niche may be responsible for the early stages of hepatocarcinogenesis in zone 3 hepatocytes. Therefore, Wnt/β-catenin signalling is considered a drug target for the prevention of HCC.
Contrary to our expectations, tumorigenesis of zone 1/2 hepatocytes was promoted in DEN-injected mice fed the HFD. DEN is preferentially metabolised and activated by zone 3 hepatocytes.34 It is possible that a small amount of DEN was also metabolised in zone 2, but the DNA damage was not sufficient to cause tumour development under ND conditions. Typically, HFD triggers mild cell death in zone 3, and regenerative responses in zone 1/2 hepatocytes; this can promote tumorigenesis in zone 2 hepatocytes that have suffered mild DNA damage. Although we could not detect apparent cell death in the DEN + HFD model probably as a result of low frequency of dying hepatocytes, the findings obtained from CDAHFD model supported this notion. CDAHFD model revealed abundant dying hepatocytes in the pericentral area accompanied by proliferating hepatocytes in zone 1/2, which resulted in a significant decrease in RFP+ pericentral hepatocytes and an increase in RFP- tumours derived from zone 1/2 hepatocytes. Taken together, zone 3 hepatocytes generally possess high neoplastic potential; however, the frequency of zone 3 hepatocyte-derived tumours is dependent on the regeneration pattern of the liver parenchyma in response to liver injury.
We also demonstrated that hepatocytes located in different zones during chronic liver injury exhibit dynamic plasticity. In the MUP + HFD model, RFP+ zone 3 hepatocytes supplied new zone 1 hepatocytes to the area immediately adjacent to the portal vein, and these cells were functionally transdifferentiated. Conversely, some pericentral areas were replaced with RFP- hepatocytes that were derived from zone 1/2 hepatocytes but expressed zone 3 markers. Such a dynamic bidirectional plasticity of hepatocytes has not yet been demonstrated. Furthermore, we found that Axin2-expressing hepatocytes subjected to chronic liver injury dramatically expanded to both the pericentral and periportal regions where they were the source of most liver tumours; this suggests that activation of Wnt/β-catenin signalling plays an important role in liver regeneration, and in hepatocarcinogenesis during chronic liver injury.
We assessed whether the metabolic phenotypes of PV- and PP-type HCC are derived from the spatial origin of the tumours or acquired during tumorigenesis and found that the metabolic phenotype was acquired during tumorigenesis. Additionally, these results suggest that the mutational landscape of HCC may not be affected by their spatial origin. However, further studies are required to determine if the same applies to PV-type HCC, as PV-type tumours were rarely found within our mouse models.
A limitation to our study is that we marked only zone 3 hepatocytes during fate tracing, and the behaviour of zone 1/2 hepatocytes was evaluated indirectly by observing RFP- hepatocytes. Not all zone 3 hepatocytes were labelled in Axin2;tdTomato mice, as shown by the incomplete recombination of RFP in CYP2E1-expressing hepatocytes in 3-week-old Axin2;tdTomato mice. Therefore, we cannot exclude the possibility that some RFP- tumours were derived from unlabelled zone 3 hepatocytes, suggesting that the neoplastic potential of zone 3 hepatocytes may have been underestimated. To complement our findings, cell fate tracing using zone 1 hepatocyte-specific markers should be performed. In addition, we administered TAM to mice early after birth, which might affect the behaviour and carcinogenic potential of zone 3 hepatocytes. Furthermore, the CreERT2 gene is knocked into the Axin2 locus in Axin2-CreERT2 mice,28 which causes heterozygous deletion of Axin2. Wei et al.13 showed that increased proliferation of pericentral hepatocytes previously reported by Wang et al.8 was caused by the heterozygous deletion of Axin2. However, DEN-induced HCC development was comparable with that in Axin2-CreERT2 and CreERT2-negative control mice in the present study (Fig. S5), suggesting that the heterozygous deletion of Axin2 was unlikely to have affected liver tumorigenesis. Recently, a new Axin2 bacterial artificial chromosome-transgenic mouse line was developed, in which the endogenous Axin2 gene was conserved;9 further analysis using that mouse line or others could address the above issue.
To summarise, we found that zone 3 hepatocytes generally have high neoplastic potential, and this was attributed, at least in part, to constitutive activation of Wnt/β-catenin signalling in the pericentral area. However, the spatial origin of the liver tumour varied depending on the regeneration pattern of the liver parenchyma in response to liver injury. Notably, Axin2-expressing hepatocytes subjected to chronic liver injury significantly contributed to liver regeneration and possessed high neoplastic potential. Thus, Wnt/β-catenin signalling is a potential drug target for the prevention of HCC.
Financial support
This research was supported by Bristol-Myers Squibb Research Grant, Takeda Science Foundation, MSD Life Science Foundation, The Naito Foundation, Life Science Foundation of Japan, The Cell Science Research Foundation, The Mitsubishi Foundation, The Fugaku Foundation, KAKENHI Grant Number 18K07994, AMED under Grant Numbers JP19fk0210059, JP20fk0210059, JP18fk0210040, JP19fk0210040, JP20fk0210040, and JP21fk0210090.
Authors’ contributions
Performed the experiments, analysed the data, and wrote the paper: SK, YH. Conceived and designed study and wrote the paper: HN. Helped some experiments and interpretation of data and edited the manuscript: SK, YM, TY, KU, YH, NS, MH, MT, HK. Provided critical materials: YT, TN. Edited the manuscript with important intellectual input: YH, KT. Supervised the entire project: KK
Data availability statement
The data generated and/or analysed during the current study are included in this published article (and its Supplementary data) or available from the corresponding author on reasonable request.
Conflicts of interest
The authors declare no competing interests.
Please refer to the accompanying ICMJE disclosure forms for further details.
Footnotes
Author names in bold designate shared co-first authorship
Supplementary data to this article can be found online at https://doi.org/10.1016/j.jhepr.2021.100315.
Supplementary data
The following are the supplementary data to this article:
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Associated Data
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Supplementary Materials
Data Availability Statement
The data generated and/or analysed during the current study are included in this published article (and its Supplementary data) or available from the corresponding author on reasonable request.