Literature DB >> 26473164

Pigment Epithelium-Derived Factor (PEDF) Inhibits Wnt/β-catenin Signaling in the Liver.

Petr Protiva1, Jingjing Gong2, Bharath Sreekumar3, Richard Torres4, Xuchen Zhang3, Glenn S Belinsky2, Mona Cornwell5, Susan E Crawford5, Yasuko Iwakiri2, Chuhan Chung1.   

Abstract

BACKGROUND & AIMS: Pigment epithelium-derived factor (PEDF) is a secretory protein that inhibits multiple tumor types. PEDF inhibits the Wnt coreceptor, low-density lipoprotein receptor-related protein 6 (LRP6), in the eye, but whether the tumor-suppressive properties of PEDF occur in organs such as the liver is unknown.
METHODS: Wnt-dependent regulation of PEDF was assessed in the absence and presence of the Wnt coreceptor LRP6. Whole genome expression analysis was performed on PEDF knockout (KO) and control livers (7 months). Interrogation of Wnt/β-catenin signaling was performed in whole livers and human hepatocellular carcinoma (HCC) cell lines after RNA interference of PEDF and restoration of a PEDF-derived peptide. Western diet feeding for 6 to 8 months was used to evaluate whether the absence of PEDF was permissive for HCC formation (n = 12/group).
RESULTS: PEDF levels increased in response to canonical Wnt3a in an LRP6-dependent manner but were suppressed by noncanonical Wnt5a protein in an LRP6-independent manner. Gene set enrichment analysis (GSEA) of PEDF KO livers revealed induction of pathways associated with experimental and human HCC and a transcriptional profile characterized by Wnt/β-catenin activation. Enhanced Wnt/β-catenin signaling occurred in KO livers, and PEDF delivery in vivo reduced LRP6 activation. In human HCC cells, RNA interference of PEDF led to increased levels of activated LRP6 and β-catenin, and a PEDF 34-mer peptide decreased LRP6 activation and β-catenin signaling, and reduced Wnt target genes. PEDF KO mice fed a Western diet developed sporadic well-differentiated HCC. Human HCC specimens demonstrated decreased PEDF staining compared with hepatocytes.
CONCLUSIONS: PEDF is an endogenous inhibitor of Wnt/β-catenin signaling in the liver.

Entities:  

Keywords:  Extracellular Matrix; PEDF; Wnt/β-Catenin

Year:  2015        PMID: 26473164      PMCID: PMC4604042          DOI: 10.1016/j.jcmgh.2015.06.006

Source DB:  PubMed          Journal:  Cell Mol Gastroenterol Hepatol        ISSN: 2352-345X


The absence of pigment epithelium-derived factor (PEDF) in hepatocellular carcinoma (HCC) enhances Wnt/β-catenin signaling. Genomic profiling of PEDF knockout livers correlates with gene expression signatures of human HCC associated with aberrant Wnt/β-catenin signaling. PEDF is an endogenous inhibitor of Wnt/β-catenin signaling. Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths worldwide. Genomic profiling has classified HCC based on molecular “signatures” that correlate with biological characteristics and clinical outcomes.2, 3 One finding from these studies is the role of the extracellular matrix (ECM) in determining tumor behavior.4, 5, 6 For instance, modulators of the ECM can activate developmental pathways such as Wnt/β-catenin signaling, thereby connecting liver fibrosis to a signaling pathway that drives hepatocarcinogenesis. Pigment epithelium-derived factor (PEDF) is a circulating 50-kDa protein with ECM binding domains and broad tumor suppressive properties.7, 8, 9, 10 In PEDF knockout (KO) mice, stromal abnormalities occur in multiple organs including the prostate, pancreas, and liver.11, 12, 13, 14, 15 Endogenous liver levels of PEDF decline in experimental and human cirrhosis, and PEDF delivery ameliorates experimental liver fibrosis.14, 16 PEDF null mice crossed with the Kras mice resulted in marked stromal changes in the pancreas and an invasive malignant phenotype not seen in the Kras mutant mice alone. These results indicate that PEDF regulates tissue matrix quiescence and its absence is permissive for malignant transformation. The antitumor properties of PEDF are typically attributed to an antiangiogenic effect.10, 17 PEDF, however, inhibits tumor cells in culture, indicating other mechanisms.17, 18 Park et al identified PEDF’s ability to inhibit Wnt/β-catenin signaling in the eye with avid binding to the Wnt coreceptor, low-density lipoprotein receptor-related protein 6 (LRP6). Whether PEDF has systemic effects beyond the eye and inhibits tumor development through an inhibitory effect on Wnt/β-catenin signaling is unclear. Because PEDF is most highly expressed by the liver, a finding recently confirmed in the Human Protein Atlas,20, 21 and modulates Wnt/β-catenin signaling,19, 22 we asked whether PEDF functions as an LRP6 antagonist in the liver. We establish that canonical Wnt3a ligand directly regulates PEDF levels. PEDF, in turn, inhibits Wnt/β-catenin signaling. Consistent with this, livers from PEDF KO mice have a transcriptional profile closely aligned with murine models of hepatocarcinogenesis and human HCC characterized by aberrant Wnt/β-catenin signaling. Knockout and knock-in experiments demonstrate that PEDF inhibits Wnt/β-catenin signaling in murine livers and human HCC cells through its ability to inhibit LRP6 and β-catenin activity. Finally, a chronic Western diet elicited sporadic HCC formation in PEDF KO mice, while the human HCC specimens demonstrated diminished PEDF staining.

Materials and Methods

Human Hepatocellular Carcinoma, Animals, and Liver Tumor Induction

Archival human HCC tissues and their corresponding adjacent livers from 14 patients were obtained from the VA Connecticut Healthcare System according to an approved institutional review board protocol. The PEDF KO mice were bred with age-matched wild-type (WT) littermates on the C57BL/6J background to generate heterozygous breeding pairs, and then PEDF KO and WT offspring were backcrossed for more than 10 generations. The mice were genotyped using a commercially available polymerase chain reaction (PCR) kit (Sigma-Aldrich, St. Louis, MO). All procedures were approved by the Institutional Animal Care and Use Committee of VA CT Healthcare System. A commercial Western diet—TestDiet 4342 (TestDiet, St. Louis, MO): energy (% kcal) from fat (40%), carbohydrate (44%), protein (16%)—or standard chow was given for 26 to 32 weeks to PEDF KO and age-matched controls (n = 12/group) starting at 8 to 12 weeks of age.

RNA Extraction and Gene Arrays

Frozen whole liver tissue from five PEDF KO animals and WT controls were maintained in liquid nitrogen until total RNA extraction using the TRIzol method (Invitrogen, Carlsbad, CA). TRIzol-extracted RNA was further purified using the Qiagen RNeasy kit (Qiagen, Valencia, CA), yielding high-quality RNA suitable for microarray analyses (RNA integrity number >9). The RNA quality was verified using Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA), and the RNA was quantified by NanoDrop (NanoDrop Technologies, Wilmington, DE). For gene expression analysis, 500 ng of total RNA was used to generate biotin-labeled cRNA using the Illumina Total RNA amplification and labeling kit (Ambion, Austin, TX) according to the manufacturer’s instructions. The biotinylated cRNA was labeled with fluorescent dye at the Yale Keck Genomic Core Facility (West Haven, CT), hybridized onto a MouseRef-8 v2.0 Expression BeadChip expression array bead chip (Illumina, San Diego, CA) and scanned. Expression data were analyzed by Genespring GX12 software (Agilent Technologies) after normalization by 75th percentile shift. Only genes with a present signal (signal above background noise) in more than 50% of samples were included in the analysis. Group samples with gene expression correlation coefficients ≤0.95 were excluded (one KO sample). For the statistical analysis, replicate samples were averaged. Differences in gene expression were determined using a moderated t test, and multiple hypothesis testing adjustment was made using Benjamini–Hochberg method at a false-discovery rate (FDR) ≤ .05 and by adding a fold expression cutoff of 1.3. Genes differentially expressed in KO mice versus WT were subjected to Gene Ontology (GO) (http://www.geneontology.org) and WikiPathways (http://www.wikipathways.org) enrichment analysis using the hypergeometric test corrected by Benjamini–Yekutieli method at FDR q ≤0.05. To further extend the analysis, gene set enrichment analysis (GSEA) was used (http://www.broadinstitute.org/gsea). GSEA is a computational method that determines whether an a priori defined set of genes shows statistically significant differences between two phenotypes. To identify the gene sets that were statistically significantly enriched, we created a rank-order list by gene expression differences between KO and WT sets. Gene Ontology, KEGG pathways (http://www.genome.jp), Reactome (http://www.reactome.org), Biocarta (http://www.biocarta.org), Pathway interaction database (http://pid.nci.nih.gov), and curated gene sets reflecting changes induced by various chemical and genetic perturbances were used to interpret results. FDR q value was used to rank the results. Gene sets enriched at FDR q value ≤ .05 and nominal P < .05 were considered statistically significant. Gene array data were deposited at http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE63643.

PEDF and PEDF Peptide Restoration

Human full-length PEDF was generated in human embryonic kidney cells as described elsewhere, and its purity confirmed using Coomassie and silver staining (Invitrogen). PEDF was administered (25 μg/kg bwt) by intraperitoneal injection on alternate days for a period of 4 weeks. A 34-mer of human PEDF corresponding to amino acids 44–77 has been previously shown to inhibit neovascularization and inhibit tumor growth, but its role in Wnt signaling is unclear.17, 25 We interrogated Wnt signaling with a 34-mer that was commercially obtained (NeoBiolab, Cambridge, MA) and used at a concentration of 100μM to evaluate Wnt/β-catenin signaling in vitro.

Cell Culture

The human HCC cell lines HepG2 and Huh7 were obtained from the American Type Culture Collection (Manassas, VA), propagated, and kept at the Yale Liver Center (P30DK034989). To obtain conditioned medium (CM), the cells were grown to 80% confluence, washed twice with serum-free media, and then incubated with serum-free media overnight. The CM was obtained after 18–20 hours and was concentrated approximately 40-fold using Amicon Ultra centrifugal filters (Millipore, Billerica, MA) with a 10-kDa cutoff. For PEDF peptide experiments, the medium was removed, washed three times with serum medium, and PEDF 34-mer was added for 2 hours before the lysates were obtained. For the lysates, the cells were scraped in radioimmunoprecipitation assay buffer containing protease and phosphatase inhibitors, incubated on ice, and centrifuged at 10,000g for 10 minutes.

Silencing of PEDF and LRP6 With RNAi in Hepatocellular Carcinoma Cells

To reduce PEDF levels in human HCC cells, commercial small interfering RNA (siRNA) constructs targeting PEDF (cat. no. 4392420, 4390771) or scrambled (cat. no. 4390843) sequences (Ambion) were transfected according to the manufacturer’s instructions. After 6 hours, the transfection medium was replaced with fresh medium lacking siRNA. After an additional 48 hours, the medium was changed to serum-free medium for 24 hours. CM and cell lysates were obtained as described earlier. The HepG2 cells stably transfected with small-hairpin RNA constructs targeting LRP6 were a gift of Dr. Arya Mani (Yale University School of Medicine). The integrity of PEDF and LRP6 KO was assessed in conditioned medium and in lysates. Measurement of PEDF levels in culture was performed with by a commercial enzyme-linked immunosorbent assay kit (BioProducts, Frederick, MD).

RNA Analysis and Quantitative Polymerase Chain Reaction

The RNA was isolated using the RNAEasy mini kit (Qiagen). The primer probe sets were obtained from a commercial source (Applied Biosystems, Foster City, CA), and quantitative reverse-transcription PCR was performed on a TaqMan ABI 7500 system (Applied Biosystems) as described elsewhere. Target gene expression was normalized against β-actin.

Immunoblotting

Immunoblotting was performed as described elsewhere. Protein content was determined by Bradford assay. Lysates (20–30 μg total protein) were separated under denaturing conditions on a gradient gel (Bio-Rad Laboratories, Hercules, CA), and transferred to polyvinylidene fluoride membranes. After they were blocked in a 5% milk solution, the membranes were incubated overnight with antibodies. Primary antibodies used were PEDF from Chemicon (Temecula, CA); transforming growth factor-β1 (TGF-β1; 3711S), phospho-LRP6 (2568), total LRP6 (2560), nonphosphorylated (active) β-catenin and total β-catenin, phospho-glycogen synthase kinase-3β (p-GSK3β), total GSK3β, phospho-extracellular-signal-regulated kinase (p-ERK), total ERK (4370), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) (5174S) from Cell Signaling Technology (Beverly, MA); collagen I (ab6308) from Abcam (Cambridge, MA); collagen III (15946) from Novus Biologicals (Oakville, ON, Canada); and β-actin from Sigma-Aldrich. Collagen I blots were run under reducing and nonreducing conditions. After washing in Tris-buffered saline and 0.05% Tween, the primary antibody was labeled using a peroxidase-conjugated secondary antibody specific for the primary antibody species. Samples were resolved on a gradient gel and transferred to nitrocellulose membranes. Equivalence of loading was confirmed using β-actin or GAPDH for lysates, or Coomassie stains for CM. Densitometry was performed using the National Institutes of Health ImageJ software (http://imagej.nih.gov/ij/).

Hydroxyproline Assays

Hydroxyproline assays were performed using a commercial kit (BioVision Research, Mountain View, CA). Measurements were performed on four separate occasions using three different sets (n = 3–4/group) of age-matched PEDF KO and control livers.

Second Harmonic Generation Imaging

Second harmonic generation (SHG) imaging preferentially detects type I, and to a lesser extent type III, fibrillar collagen. Multiphoton stimulation combined with tissue clearing was used to visualize fibrillar collagen deposition in volume sections of both WT and KO liver specimens measuring approximately 5 × 5 × 1 mm. Tissue clearing was performed on formalin-fixed organs using benzyl alcohol/benzyl benzoate (BABB) in 2:1 ratio as previously described elsewhere. Briefly, tissue specimens were then dehydrated by graded methanol incubations in 30-minute intervals and then incubated overnight with BABB. SHG was measured on a TriM Scope II multiphoton microscope (LaVision BioTec, Bielefeld, Germany) with 780 nm excitation and 390 nm band pass emission filter using a 0.95 NA, 25× objective (Leica Microsystems GmbH, Wetzlar, Germany) designed specifically for BABB immersion. Tissue volume was determined using intrinsic fluorescence with 960 nm excitation and 600–50 nm band pass filter detection. The SHG signal was collected in reflection: the specimen was placed on a deep-well slide, and a mirror was placed underneath to improve collection efficiency. The imaging parameters were kept constant among the specimens, including laser power and scanning speed as well as detector distance from the specimen. Data were collected in 16-bit depth, and contrast was adjusted using identical intensity thresholds for all images, allowing for direct intensity comparison.

Histology

Immunohistochemical analysis was performed as described on 14 sequentially obtained human HCC specimens. Sections were deparaffinized, treated to inhibit endogenous peroxidase, and subjected to antigen retrieval. After incubation with primary antibody, sections were washed and then incubated with biotinylated anti-mouse antiserum. Streptavidin complexed with horseradish peroxidase was added, and labeling was detected using diaminobenzidine. Semiquantitative scoring of the immunohistochemical labeling was evaluated by a pathologist (S.E.C.) using a numerical grading score (1, no staining; 2, focal positivity; 3, moderate; 4, diffuse, strong immunostaining) on 10 nonoverlapping fields per case with normal hepatocytes distant to the tumor margin assessed as “Nl liver.”

Statistical Analysis

The P values were calculated, assuming equal sample variance, using a two-tailed Student t test on Prism software. P < .05 was considered statistically significant. Values were stated as mean ± standard deviation (SD) or standard error of the mean.

Results

PEDF Secretion Is Wnt3a-Responsive and Depends on the Wnt Coreceptor LRP6

We evaluated PEDF regulation by Wnt ligands and dependence upon LRP6. The integrity of the LRP6 KO and the stimulatory effects of high (25 mM) versus low (1 mM) glucose on LRP6 and its effector active (nonphosphorylated) β-catenin were shown (Figure 1A). Canonical Wnt3a (50 ng/mL) led to a greater than twofold increase in PEDF levels that was LRP6 dependent (Figure 1B, P < .01). In the absence of the LRP6, Wnt3a had no effect on PEDF levels. Similarly, Wnt3a had no effect on PEDF levels under 1 mM glucose conditions, likely reflecting markedly suppressed LRP6 levels seen in this condition. Thus, Wnt3a-stimulated induction of PEDF levels are LRP6 dependent.
Figure 1

PEDF secretion is regulated by Wnt ligands in an LRP6-dependent manner. (A) Integrity of the LRP6 small-hairpin RNA-mediated knockdown in HepG2 cells was demonstrated under high (25 mM) and low (1 mM) glucose conditions. (B) Canonical Wnt3a ligand significantly induces PEDF levels in the presence of the Wnt coreceptor LRP6 (P < .01). Genetic knockdown of LRP6 or its functional depletion with 1 mM glucose abrogates this effect (not statistically significant). (C) The noncanonical Wnt5a suppresses PEDF levels when LRP6 is genetically deleted under 25 mM glucose or reduced by low glucose (P < .01). Experiments were conducted in duplicate with n = 3–4/group. Data are presented as mean ± SD.

The noncanonical Wnt pathway includes the Wnt5a ligand and its orphan receptor, ROR2 (receptor tyrosine kinase-like orphan receptor 2), and counters the effects of the canonical pathway. To determine whether PEDF could be modulated by the noncanonical pathway, Wnt5a was added to HepG2 cells with and without LRP6. Wnt5a did not alter PEDF levels under high-glucose conditions in the presence of the LRP6 receptor. When the canonical receptor LRP6 was deleted, Wnt5a significantly suppressed PEDF protein levels (Figure 1C, P < .01). Thus, deletion of LRP6 favors the noncanonical pathway and lowers PEDF under high-glucose conditions. Similarly, the 1 mM glucose condition leads to a functional depletion of the LRP6 receptor (Figure 1A) without genetic manipulation. Here, the Wnt5a ligand significantly decreased PEDF under scrambled and LRP6 KO conditions indicating that the noncanonical Wnt ligands can decrease PEDF in the setting of diminished LRP6 levels (Figure 1C, P < .01 for low glucose with and without LRP6). Thus, canonical Wnt3a and the noncanonical Wnt5a differentially regulate PEDF levels.

PEDF Knockout Livers Resemble Experimental and Human Hepatocellular Carcinoma Marked by Wnt/β-Catenin Signaling

To explore PEDF’s role in the liver, gene expression profiling was done in KO versus WT livers. There were 1113 gene entities differentially expressed between WT and KO animals at FDR ≤ .05 and 1.3-fold expression cutoffs. Out of 1113 genes 344 were up-regulated in KOs, and 769 were down-regulated (Supplementary Table 1). Grouping these genes by GO categories using hypergeometric model showed that most up-regulated GO categories were related to extracellular matrix function, lipid metabolism, immune response, DNA replication, phase I and II enzymes (FDR ≤ .05). Most down-regulated GO categories were related to ribosomal and mitochondrial function and numerous primary metabolic processes such as nitrogen compound metabolism, glutamine family amino acid metabolic process, urea cycle, and carboxylic acid metabolism, and peptidase inhibitory activity (FDR < .05).
Supplementary Table 1

List of Statistically Significant Differentially Expressed Gene Entities in PEDF Knockout Animals Versus Wild-Type (FDR < .05 and Expression Cutoff of 1.3-Fold)

SymbolFold UpSymbolFold Down
Cyp2b96.730Serpinf1 (KO GENE)−143.796
Gsta14.853Serpina1e−8.049
Cyp2b234.285Hsd3b5−5.549
Ly6d4.166Lpin1−3.815
Gsta23.822Serpina4-ps1−3.642
Tubb2b3.390Nnmt−3.193
Lcn23.346Nnmt−3.105
Anxa22.943Egfr−3.080
Mod12.733C6−3.023
Cidec2.654Egfr−2.957
S100a112.579Aatk−2.871
Bcl62.524C8b−2.749
Orm22.467Egfr−2.578
Wfdc22.254C6−2.577
Aqp82.222Cyp7b1−2.553
Insig22.192Cyp4a12b−2.465
Tceal82.169Clca3−2.437
Lgals32.167Sds−2.380
Spon22.165Slc38a2−2.378
Aqp82.127Ela1−2.333
Ubd2.0792200001I15Rik−2.305
H2-Ab12.062Cyp7a1−2.302
Apoa42.056Fbxo31−2.246
Cbr32.053EG13909−2.223
Hsd17b61.980Selenbp2−2.181
Lpl1.978Socs2−2.177
Cd741.972Upp2−2.167
Raet1b1.967Fbxo31−2.165
Egr11.965Tsc22d3−2.161
Pdk41.927C8a−2.142
Ttc39a1.900Cyp4f14−2.136
Slc17a41.8782810439F02Rik−2.120
Gstm21.850Slc29a1−2.110
Sqle1.829F11−2.106
Spp11.793Siat9−2.095
Ccnd11.788Mup4−2.095
H2-Aa1.786LOC100047762−2.070
Sepp11.785Cish−2.065
H2-Ab11.780Ptpre−2.059
Insig21.735Por−2.055
Cd741.734Ccrn4l−2.022
Insig21.734Hpd−2.013
Aqp41.724Upp2−1.984
Vldlr1.724Prei4−1.980
Srxn11.722F11−1.978
Elovl61.711Prodh−1.961
Slpi1.707Zap70−1.960
Lgals11.706Por−1.960
Gdf151.696Zxda−1.954
Ptp4a21.690Gne−1.950
LOC1000470461.689Kcnk5−1.918
LOC6412401.684Pptc7−1.906
Limk11.683Eif4ebp3−1.894
Ntrk21.6802810439F02Rik−1.890
H2-Ab11.679Tk1−1.879
Gstm21.679Zap70−1.875
Fam129b1.676Tef−1.871
Col6a11.673Angptl4−1.851
Ctps1.672Chac1−1.838
Nudt181.669Gm129−1.836
Anxa51.668Agxt−1.835
Zfp36l11.664Lpin2−1.835
Ankrd561.658EG13909−1.834
H2-Eb11.652Asl−1.824
S100a101.648Afmid−1.821
Ccnd11.642Tle1−1.820
Srxn11.641Afmid−1.820
Lyzs1.639Spata2L−1.817
Cd631.637Upp2−1.814
Idh21.634St3gal5−1.802
Uhrf11.633Chka−1.802
Uap1l11.632rp9−1.797
Dusp61.625Smarcd2−1.796
Aldh1a11.623Gpt1−1.792
Mfge81.619Cyp4f13−1.784
Acnat21.614Nrbp2−1.784
Cxcl91.614Cps1−1.778
Acly1.609Cebpb−1.773
Tsc22d11.609Serpinf2−1.762
Rtn4rl11.597Hs6st1−1.757
Plekha11.596Gls2−1.750
Cyp4a141.595Susd4−1.750
Usp181.594Apom−1.744
Cd91.591Klhl21−1.744
Smpd31.591Fkbp5−1.743
Hist1h2ao1.590Prhoxnb−1.743
Col4a11.587Cbs−1.741
Lypla11.583Lgals4−1.732
Gstm21.583Ccbl1−1.727
Rcan11.582Upp2−1.726
Tlr21.571Foxa3−1.724
Prune1.569Sardh−1.711
LOC1000436711.567Clec2d−1.710
Lgals3bp1.567B230342M21Rik−1.708
Ccbl21.567Afmid−1.708
Hrsp121.566Bach1−1.708
Elovl51.562Tmem50a−1.707
Ccnd11.560Mlxipl−1.706
Gadd45a1.559Gcgr−1.703
Samd9l1.556Agpat6−1.697
Gas61.555Cyp4f15−1.693
Esd1.549Plg−1.692
Cyp3a111.548Cyp1a2−1.687
Sparc1.547Serpina3k−1.676
LOC1000479341.542D4Bwg0951e−1.675
Ctsa1.538Nfic−1.673
Ppic1.536Hhex−1.671
Nipsnap3a1.536Ush2a−1.670
Mcm61.533Ang−1.668
Axl1.531Hyal1−1.666
Tmem431.530Pgls−1.663
Plscr11.528Itih3−1.662
Lum1.526Rnase4−1.659
2410004L22Rik1.526Ttc36−1.655
Cdkn1a1.5231700019G17Rik−1.651
Arl8a1.521Cps1−1.650
Acot41.519Rps5−1.646
Laptm51.5159530058B02Rik−1.643
St51.5152310076L09Rik−1.642
Gbp21.515Il6ra−1.638
Sirpa1.513Mbd1−1.638
Ifi271.512Atp5sl−1.635
Sqle1.511Kcnk5−1.635
Acot31.509Gnat1−1.634
Spc251.505Abcg8−1.629
B930041F14Rik1.504Tmem160−1.622
Tgfbr21.502Hist1h2bm−1.621
Tgm21.502Hes6−1.619
Cbr31.500Asl−1.618
Aldh1a71.500Acaa2−1.617
Hprt11.497Zfp259−1.617
Entpd51.497Klf13−1.612
Cyba1.497Hist2h2aa1−1.607
Tpm11.496Ccbl1−1.593
Acox11.495Npr2−1.593
Cyp4a311.493Map1lc3a−1.592
Atp5a11.492Ephx2−1.590
Col6a11.489Tmem183a−1.587
Dusp61.488Scnn1a−1.586
Tmem771.486Afmid−1.586
Fos1.483Igfals−1.582
LOC1000483461.483Fgf1−1.582
Ifit31.482Cnpy2−1.582
Ctsc1.4800610012D14Rik−1.582
Serpina71.480Tspan31−1.581
Pex11a1.478Rbm5−1.580
Ccdc801.475Ugt2b1−1.580
Rnf1251.475Med25−1.578
Tm4sf41.475Eif4ebp1−1.578
St51.474Serpina11−1.577
Col5a11.474Ass1−1.577
Cyp2a51.474Nfkbia−1.574
Enc11.473Lcat−1.573
Plscr11.472Rps10−1.572
Aldh1b11.470Atad3a−1.571
Lamb31.469Hist1h2bn−1.570
Cdc201.468Upb1−1.568
Cxcl101.468Cpsf4l−1.563
H2-DMb11.467Fn3k−1.563
Vps291.466Klf9−1.561
Igf2bp21.466Ivd−1.558
Csf1r1.464Prodh2−1.558
Ear21.463Mcm10−1.558
Cyp2c291.460Mrpl55−1.557
Dsp1.460Prodh2−1.556
Tubb61.459Sri−1.555
Ctsc1.459Eef2−1.552
Tnfrsf221.458Pla1a−1.551
Gadd45a1.458Cisd1−1.551
Mmp21.453Serpinf2−1.549
Gstm11.451P2ry1−1.547
Cd521.4484933426M11Rik−1.547
Vldlr1.445Alas1−1.546
Aadac1.444Dedd2−1.540
Glul1.444Pipox−1.536
Bcap311.443Fam152b−1.535
Ly6a1.4421300017J02Rik−1.530
Abcb111.441Abcc6−1.529
Loxl11.441Sema4g−1.529
Col4a21.436BC031353−1.529
Mvd1.436Brap−1.528
Il1b1.434Lsm4−1.527
Mcm41.433Slc38a3−1.527
Slc13a31.432Pex6−1.526
Net11.432Nfix−1.521
Hist1h2ak1.430Als2−1.520
Ugt2b351.430Errfi1−1.519
Apoc21.428Ldb1−1.518
Mcm51.426Hc−1.516
Rnd21.426Ptms−1.516
Gclc1.426Agt−1.516
Pparg1.425Igf1−1.515
Gpam1.425Akr7a5−1.515
Osbpl31.425Ddx6−1.513
Slc41a21.422Hpn−1.513
Tnfaip21.422Stard10−1.513
Tmsb4x1.421Mafg−1.511
Mcm61.420Tsku−1.510
Khk1.417Cyp2c37−1.508
Fam110a1.416Rpl34−1.508
Mme1.416Rbm4b−1.507
LOC6773171.415Bmp1−1.506
4931406C07Rik1.414Wdr45l−1.506
Klf61.412Afmid−1.505
Ywhah1.411Ppp1r10−1.505
LOC1000479631.409Afmid−1.504
Nampt1.409Pop5−1.504
Hist1h2af1.4084833421E05Rik−1.502
Emr11.406OTTMUSG00000000231−1.502
Dapk21.405Pscd1−1.500
S100a81.404Vgll4−1.499
Hprt11.403F7−1.499
1810023F06Rik1.401Tmem42−1.499
Ndufa51.401Gm129−1.497
Bmp41.399Saps3−1.496
Akr1c141.397Cyp2c67−1.496
Cyp2c391.395Oat−1.495
Vldlr1.3951110001J03Rik−1.494
Nqo11.394Glyctk−1.494
Jun1.394Srrm2−1.492
LOC1000487331.394Tst−1.492
Tm4sf41.393Sdsl−1.492
Rtn41.391Fgg−1.491
Iqgap11.391Hist1h2bk−1.490
Arhgdib1.391Klf1−1.490
Rcan21.389F2−1.490
Palmd1.388Elovl3−1.487
Hist1h2an1.387Ctdsp2−1.485
Rcan21.386Cbs−1.485
Tmem491.385Ppm1k−1.483
Entpd51.384Cyp1a2−1.483
Idi11.382Hsp105−1.482
Nsdhl1.3811110032A13Rik−1.481
Slamf91.381H2afy−1.480
Trim21.380Dnajb6−1.480
Lip11.377Keg1−1.480
6330409N04Rik1.376Slc35b2−1.480
9030625A04Rik1.376Tmem19−1.479
Cxadr1.376Fam125a−1.478
Pltp1.375Gde1−1.478
Agpat91.375Gpr182−1.477
Zfp6081.375D9Wsu20e−1.477
Gale1.375Gpr108−1.475
Rasl11b1.374Rps8−1.475
Tpm41.374Lman1−1.475
Saa21.374Rpl23−1.474
BC0055371.372Zfp91-cntf−1.474
Mcm21.372Upf1−1.473
Lhfp1.370F10−1.473
Slc23a21.369Acot1−1.472
Usp181.368Slc1a2−1.472
Ppp1r3c1.367Prodh2−1.468
Cpxm11.366Ap3m1−1.468
LOC1000462541.365Fbxo33−1.467
Junb1.364Slc25a42−1.467
2010311D03Rik1.363Qdpr−1.466
Krt81.363Hbs1l−1.466
Angptl31.360Pcsk4−1.465
Orm11.360Tut1−1.465
Emp11.359Sec14l4−1.465
Gca1.359Slc7a2−1.464
Nid11.358Gstp1−1.464
Ddx3x1.357Glt25d1−1.464
Ebpl1.354Tmem160−1.464
Slc13a31.353Smarca2−1.464
Btg11.353Pxmp2−1.463
Tnip11.352Zfp276−1.463
Tmem431.352Nosip−1.463
Pparg1.352Cml1−1.463
Serinc21.351Tmprss6−1.462
Col15a11.350Scara5−1.462
LOC4338011.350Mup5−1.460
Cyp3a251.349Cadps2−1.459
Gale1.347Rsn−1.459
Id21.347EG665378−1.458
LOC6688371.346Pop5−1.458
Slc6a81.345Igfbp4−1.456
Vim1.345Mbl1−1.455
Cd2741.345Rps25−1.455
Mfge81.342Crcp−1.455
Tnfrsf191.342Plxna1−1.454
Rnf1251.341Zfp771−1.454
Mlkl1.341Serpina1a−1.454
EG2773331.340Trfr2−1.453
Adam91.339Foxo1−1.453
Pgrmc11.338Dnajc3−1.452
Mat2a1.337LOC622404−1.452
Ccbl21.336Sec63−1.451
Tnfaip21.336Tmem150−1.451
Pip4k2a1.335Sepx1−1.451
Mad2l11.335Slc6a12−1.451
Adra2b1.334Hist1h2bj−1.451
Snx71.333Xpa−1.449
Chmp51.332Syt1−1.448
Gsta41.331Trap1−1.447
Pigp1.330Tnrc6a−1.446
Mreg1.329Ercc5−1.446
Rnd31.329Sil1−1.445
Nit21.3289430029K10Rik−1.445
Cxadr1.328Gltpd2−1.445
Cotl11.323Cxxc1−1.444
2900064A13Rik1.323Trp53inp2−1.443
Lrrc391.323Serinc3−1.443
Dld1.322Trak1−1.443
Pmpcb1.321Arfgap2−1.443
Rab341.320Iyd−1.442
Fas1.320Tnrc6c−1.442
Hist1h2ah1.320Hint2−1.442
Fen11.3200610012G03Rik−1.442
Hsd17b111.320Coq5−1.441
Tnxb1.319Gls2−1.441
Saa11.319Rpain−1.439
Tnfrsf12a1.317Surf1−1.438
Acot21.317Ube3b−1.437
Cd531.317Mrps21−1.437
Entpd21.316Eif4g1−1.436
Ermp11.315Hamp−1.435
Cd861.315Os9−1.435
Tapbp1.315Ganab−1.434
Cyp2c551.315Mcm10−1.432
2610305D13Rik1.314Rab43−1.432
Ccl41.314Rshl2a−1.431
1700047I17Rik11.314Spg20−1.431
Snx31.313Josd2−1.430
Mcm61.312Cyp2c70−1.430
Ccdc1201.310Aldh16a1−1.428
Slc16a61.310Vkorc1−1.428
Nipa11.308Gorasp1−1.428
Arl2bp1.308Dap−1.427
1190002N15Rik1.308Pim3−1.426
Cryl11.308Aox3−1.425
Litaf1.307Rps15−1.425
Jak11.306Cyp27a1−1.425
Cdkn2c1.3062310007F21Rik−1.425
Rhod1.306Acy1−1.424
Bcl2l131.306Mug2−1.424
Acot101.305Stk11−1.424
Aifm11.303Yif1b−1.424
Phca1.303Irf3−1.423
Arcn11.303Fbxl10−1.423
Esr11.303Rapgef4−1.423
Palld1.301Tm2d2−1.422
Ldlr1.301Serpinf2−1.422
Rab8b1.300Ceacam1−1.422
Csnk1g2−1.422
Hnrpc−1.421
Gpld1−1.421
Hist1h2bh−1.421
Ssr4−1.421
Bst2−1.421
Acox2−1.421
Sra1−1.420
Cyp2c37−1.420
Eif4ebp2−1.420
Atp13a1−1.420
Abat−1.420
Per2−1.419
Polr2f−1.419
Slc1a2−1.419
Bckdhb−1.418
Itih1−1.418
Pbld−1.418
Fam134a−1.417
Lgals4−1.416
LOC100047856−1.416
LOC100044324−1.416
2900010M23Rik−1.415
Rnase4−1.415
Vtn−1.415
Mrpl17−1.414
Stat3−1.414
Ankzf1−1.414
5133401N09Rik−1.414
Prpf8−1.414
Bckdha−1.413
Sirt7−1.413
C1rl−1.413
Ndufb10−1.413
EG13909−1.413
Mug4−1.412
Gnmt−1.412
Bloc1s1−1.411
Cuta−1.411
Vrk3−1.411
Fetub−1.410
Lims2−1.409
Tm7sf2−1.407
Gltpd2−1.407
Ppap2b−1.407
Prei4−1.407
Arl3−1.407
A430005L14Rik−1.406
Rpl36a−1.406
Dnajc7−1.406
Map2k2−1.405
Dym−1.405
Wdr45l−1.404
Plekhg3−1.404
Rps21−1.404
Ghr−1.403
Bmp1−1.403
Tle1−1.403
Ppargc1b−1.402
Acad10−1.402
Rpl12−1.402
Pnpo−1.401
Ddx3y−1.401
Galt−1.401
Smoc1−1.401
Cyp27a1−1.399
Clmn−1.399
3110056O03Rik−1.399
Tex264−1.399
Nat6−1.398
Pla2g12a−1.397
Srm−1.396
LOC100048020−1.396
Bat3−1.396
Tsc22d3−1.396
Mupcdh−1.396
Acat1−1.396
Cib1−1.396
Exosc5−1.396
1300007L22Rik−1.396
Sort1−1.394
LOC545056−1.394
Gtf3c1−1.392
Myo18a−1.392
LOC100048105−1.392
Csnk2a2−1.391
Csnk1g3−1.391
Serpinc1−1.391
Mrps28−1.391
Aamp−1.391
Tha1−1.391
Aars−1.390
Cope−1.390
Bri3−1.390
Nme3−1.389
Ppp1r3b−1.389
Ccdc84−1.389
Sirt3−1.388
1500032D16Rik−1.388
Mrps26−1.388
Ict1−1.387
Tpst1−1.387
Prpf38b−1.387
Als2−1.387
Klkb1−1.387
MGC18837−1.386
Dcxr−1.386
1700029P11Rik−1.386
Gaa−1.385
1700012H05Rik−1.385
Gnl3−1.385
Hdgf−1.385
Aifm1−1.385
Tcf25−1.384
Sdc2−1.384
Mtss1−1.384
Atf2−1.384
Cyp2c67−1.383
Eef2−1.383
Mrpl2−1.383
Usp2−1.382
Timm10−1.382
Fkbp8−1.382
0610012D14Rik−1.382
3300001P08Rik−1.382
F12−1.381
2010100O12Rik−1.381
Slc26a1−1.381
Paox−1.380
Afmid−1.380
Dpp3−1.380
Dpm2−1.379
St3gal3−1.378
Serpina1a−1.378
2810428I15Rik−1.377
Akr7a5−1.377
6430527G18Rik−1.377
D19Wsu162e−1.376
Phb2−1.376
Trabd−1.376
Txnl4a−1.376
Macrod1−1.376
Gamt−1.375
Lgsn−1.374
Atp5g2−1.374
Jmjd6−1.373
Cyp27a1−1.373
Cno−1.373
Naprt1−1.372
Hpn−1.372
Il1rap−1.371
Rnf6−1.370
Atp1a1−1.370
Yeats4−1.370
Lmf1−1.370
Bcas3−1.370
Echdc2−1.370
Acot12−1.370
Kng1−1.369
Hsd17b10−1.369
Upb1−1.369
D17Wsu92e−1.369
Taf10−1.369
Keap1−1.368
Pdcd5−1.368
Plekhb1−1.368
Mthfd1−1.368
Nr1h4−1.367
BC031181−1.366
Fpgs−1.366
Gphn−1.366
Ccar1−1.366
Stard5−1.366
Slc25a38−1.365
Ccdc21−1.365
Psmc5−1.364
C130074G19Rik−1.364
0610007P22Rik−1.364
Dalrd3−1.364
Mib2−1.363
Tsc2−1.363
Sec63−1.363
Myo6−1.362
Abtb1−1.362
1110008F13Rik−1.362
Tspan33−1.362
Mettl7b−1.361
LOC100048445−1.361
BC021381−1.361
H13−1.361
Zfp91−1.361
Arfl4−1.360
1810008A18Rik−1.359
Tlcd2−1.359
Ube2l3−1.359
6430706D22Rik−1.359
Prpf6−1.359
Cebpa−1.358
Tsta3−1.358
Aspscr1−1.358
Gphn−1.357
Ccnt1−1.357
Prox1−1.357
Dph2−1.356
Nr1h2−1.356
Dcxr−1.355
Arg1−1.355
Per1−1.355
Cox4i1−1.355
1700021F05Rik−1.354
Masp2−1.354
9530058B02Rik−1.354
Sf3b5−1.353
Ctdsp1−1.353
Akap8l−1.352
Slc37a4−1.351
Rab18−1.351
Mrps34−1.351
Mfsd2−1.350
Ext2−1.350
Ttyh2−1.350
Dnajb2−1.350
Lsm12−1.349
Ddx24−1.349
Tmem201−1.349
Fh1−1.348
Cpn1−1.348
Cxxc1−1.348
Isy1−1.347
Srm−1.347
Ythdf1−1.347
Derl2−1.346
Csrp2−1.346
Gnmt−1.346
Mfn1−1.346
Igfbp4−1.345
Rnf166−1.345
LOC100048105−1.345
2700038C09Rik−1.345
Herpud1−1.345
Trfr2−1.344
BC056474−1.343
Mon1a−1.343
Itih4−1.343
Upf1−1.342
Rpl19−1.342
Gdi1−1.342
Echdc2−1.341
5730453I16Rik−1.340
Eif3g−1.340
Dgcr2−1.340
Fbxo34−1.340
Mett11d1−1.340
Ngef−1.340
Fastk−1.340
Pex6−1.340
Dexi−1.340
Bclaf1−1.339
Use1−1.339
Zfp607−1.338
EG545056−1.338
Ugt2a3−1.338
Uspl1−1.337
Cope−1.337
Arrdc2−1.337
C1rl−1.336
Rabac1−1.336
Anp32a−1.336
Rilp−1.336
Prr14−1.336
620807−1.336
Limd1−1.335
Ctsf−1.335
Lemd2−1.335
Lamp2−1.335
Cldn3−1.335
Nol5−1.335
Man2c1−1.334
Scarb2−1.333
Igf1−1.333
S100a13−1.333
LOC100047937−1.333
Zbtb7a−1.332
Ogfod2−1.332
B3gnt1−1.332
Zbtb22−1.331
Atp6v0a1−1.331
Pnpla2−1.331
Plg−1.331
Sdhb−1.330
Cdo1−1.329
Ilvbl−1.329
6720456B07Rik−1.329
Map1lc3b−1.329
Smarca2−1.328
Fars2−1.328
Whdc1−1.328
1110032A13Rik−1.327
Dmwd−1.327
Morc3−1.327
Myg1−1.327
Scap−1.327
Itfg3−1.327
1110007A13Rik−1.326
Cmtm8−1.326
Wipi2−1.326
1110007L15Rik−1.326
Vkorc1−1.326
Eif3eip−1.325
1810020D17Rik−1.325
Dexi−1.325
Rpl28−1.325
Slc6a9−1.324
Jmjd3−1.324
1300001I01Rik−1.324
Cog8−1.324
Irf3−1.324
Chmp2a−1.324
D19Bwg1357e−1.323
Itpr2−1.323
LOC100047935−1.323
H2-Ke6−1.323
Mrpl3−1.322
Mrpl34−1.322
Slc25a39−1.322
Spcs3−1.321
Dhrs4−1.321
Ppp1r9a−1.321
Nags−1.321
Keap1−1.321
Cox7a2l−1.320
Mocs1−1.320
Sap30l−1.320
C630028N24Rik−1.319
Zfand2b−1.319
LOC100045697−1.319
Pdcd2−1.318
Yipf3−1.318
Ctdsp1−1.318
Mrps9−1.318
Plg−1.317
Upb1−1.317
B020018G12Rik−1.317
Il1rap−1.317
Gchfr−1.316
Rab3gap1−1.316
Slc35e3−1.316
Rufy3−1.316
Tmem63b−1.316
Ndufv2−1.316
Pde4dip−1.315
Avpr1a−1.315
Ogfr−1.315
Tec−1.314
Golga2−1.314
Acads−1.314
Tnrc6a−1.314
Sbf1−1.314
Faah−1.314
1810026J23Rik−1.314
Arl3−1.313
Tmem14c−1.313
Brms1−1.313
Qprt−1.313
Atp5d−1.312
Slc2a9−1.312
Sdc4−1.312
Eif1b−1.311
Prdx4−1.311
Dmtf1−1.311
Il6st−1.311
Tmem204−1.311
Rnaseh2c−1.311
Aldh1l1−1.310
Fis1−1.310
Clcn2−1.310
Impdh2−1.310
Cdk8−1.309
Wdr45−1.309
Creb3l3−1.308
Aes−1.308
Riok3−1.308
Mta2−1.308
Slc12a2−1.308
Morf4l1−1.307
Trpc4ap−1.307
Tmem53−1.307
2310044H10Rik−1.307
Snrpd2−1.307
Cxcl12−1.306
Lcat−1.306
Depdc6−1.306
Imp3−1.306
2610003J06Rik−1.306
Proc−1.306
Fbxo34−1.305
Dbp−1.305
Etfb−1.305
Mrpl27−1.305
Bola2−1.305
Elof1−1.305
Cmtm8−1.305
Enpp1−1.305
2410015M20Rik−1.304
Polr1a−1.304
Pih1d1−1.304
Xrcc6−1.304
Mbl2−1.304
Naca−1.304
F12−1.304
2310003H01Rik−1.303
Fxyd1−1.303
Tacc1−1.303
Gemin4−1.303
Slc1a2−1.303
Txn2−1.302
Gpt2−1.302
LOC100045782−1.302
Slc9a3r1−1.302
Elavl1−1.302
AA415398−1.301
Sox5−1.301
Tmem143−1.300
Rab8a−1.300
Atg2a−1.300
To further characterize the gene expression changes in KO mice, GSEA using curated pathways as well as GO categories were performed. Consistent with analysis by moderated t test, the GSEA showed that most up-regulated pathways were related to cell proliferation, inflammatory responses, collagen expression, extracellular matrix function, and phase I and phase II enzymatic activity (Supplementary Table 2). Subsequently, another GSEA was performed to test for similarities between gene expression profiles in PEDF KO mouse livers and curated gene sets representing expression signatures of genetic and chemical perturbation. This analysis showed that the most significantly enriched gene sets represented rodent models and human samples of HCC tissues and various inflammatory liver conditions, suggesting that loss of PEDF leads to gene expression changes similar to those found in HCC (Table 1, Supplementary Table 3). In fact, eight out of top 10 enriched gene sets represented rodent models of HCC (Table 1).
Supplementary Table 2

Full List of Significantly Enriched Canonical Pathways and Gene Ontology Categories Modulated in PEDF Knockout Mice Livers

Up-Regulated Canonical Pathways [DATABASE_PATHWAY NAME]


Database Web Link: (http://www.broadinstitute.org/gsea/msigdb/genesets.jsp?collection=CP)
NameNESFDR q Value
KEGG_GLUTATHIONE_METABOLISM2.329<.001
PID_INTEGRIN1_PATHWAY2.221.003
REACTOME_COLLAGEN_FORMATION2.168.006
REACTOME_GLUTATHIONE_CONJUGATION2.136.008
REACTOME_NCAM1_INTERACTIONS2.089.013
PID_SYNDECAN_1_PATHWAY2.080.013
PID_FOXM1PATHWAY2.099.014
REACTOME_EXTRACELLULAR_MATRIX_ORGANIZATION2.057.016
KEGG_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P4502.010.020
KEGG_ECM_RECEPTOR_INTERACTION2.029.021
KEGG_HEMATOPOIETIC_CELL_LINEAGE2.013.022
PID_AVB3_INTEGRIN_PATHWAY1.986.024
PID_NFAT_TFPATHWAY1.979.024
REACTOME_INTERFERON_ALPHA_BETA_SIGNALING1.966.024
KEGG_DRUG_METABOLISM_CYTOCHROME_P4501.971.025
KEGG_CELL_CYCLE1.915.032
KEGG_DNA_REPLICATION1.918.033
REACTOME_DNA_STRAND_ELONGATION1.923.033
PID_TOLL_ENDOGENOUS_PATHWAY1.928.034
PID_FRA_PATHWAY1.879.046
KEGG_CYTOKINE_CYTOKINE_RECEPTOR_INTERACTION1.864.049

Note: FDR (false-discovery rate), FDR q value; NES, normalized enrichment score.

Table 1

Top 10 Enriched Chemical and Genetic Perturbation Gene Sets Corresponding to PEDF Null Livers

Gene Set NameFDR q ValueaGene Set Description
LEE_LIVER_CANCER_ACOX1_UP<.001Genes up-regulated in HCC of ACOX1 knockout mice
LEE_LIVER_CANCER_E2F1_UP<.001Genes up-regulated in HCC induced by overexpression of E2F1
LEE_LIVER_CANCER_MYC_E2F1_UP<.001Genes up-regulated in HCC from MYC and E2F1 double transgenic mice
LEE_LIVER_CANCER_MYC_TGFA_UP<.001Genes up-regulated in HCC tissue of MYC and TGFA double transgenic mice
ICHIBA_GRAFT_VERSUS_HOST_DISEASE_35D_UP<.001Hepatic graft versus host disease day 35: genes up-regulated in allogeneic vs syngeneic bone marrow transplant
KHETCHOUMIAN_TRIM24_TARGETS_UP<.001Retinoic acid-responsive genes up-regulated in HCC samples of TRIM24 knockout mice
LEE_LIVER_CANCER_CIPROFIBRATE_UP<.001Genes up-regulated in HCC induced by ciprofibrate
LEE_LIVER_CANCER_DENA_UP<.001Genes up-regulated in HCC induced by diethylnitrosamine
WIELAND_UP_BY_HBV_INFECTION<.001Genes induced in the liver during hepatitis B viral clearance in chimpanzees
BORLAK_LIVER_CANCER_EGF_UP<.001Genes up-regulated in HCC developed by transgenic mice overexpressing a secreted form of epidermal growth factor in liver

Note: Gene set enrichment analysis showed that expression signatures in PEDF knockout mouse livers resembled those found in genetic and chemical models of HCC. Of the top 10 enriched chemical and genetic perturbation gene sets, eight represented rodent models of HCC, and two (Ichiba and Wieland) sets are related to inflammatory liver conditions. HCC, hepatocellular carcinoma.

FDR (false-discovery rate): adjusted P value (FDR q value).

Supplementary Table 3

Full List of Chemical and Genetic Perturbations That Were Significantly Enriched in PEDF KO Mice Livers

Up-Regulated Chemical and Genetic Perturbation DatasetsUp-Regulated List Truncated at FDR < .005
Database Web Link: (http://www.broadinstitute.org/gsea/msigdb/genesets.jsp?collection=CGP)
NameNESFDR q Value
LEE_LIVER_CANCER_ACOX1_UP3.117.000
LEE_LIVER_CANCER_E2F1_UP3.017.000
LEE_LIVER_CANCER_MYC_E2F1_UP2.984.000
LEE_LIVER_CANCER_MYC_TGFA_UP2.911.000
ICHIBA_GRAFT_VERSUS_HOST_DISEASE_35D_UP2.892.000
KHETCHOUMIAN_TRIM24_TARGETS_UP2.891.000
LEE_LIVER_CANCER_CIPROFIBRATE_UP2.858.000
LEE_LIVER_CANCER_DENA_UP2.780.000
WIELAND_UP_BY_HBV_INFECTION2.772.000
BORLAK_LIVER_CANCER_EGF_UP2.742.000
SERVITJA_LIVER_HNF1A_TARGETS_UP2.742.000
SHETH_LIVER_CANCER_VS_TXNIP_LOSS_PAM32.697.000
SHETH_LIVER_CANCER_VS_TXNIP_LOSS_PAM22.635.000
HESS_TARGETS_OF_HOXA9_AND_MEIS1_DN2.622.000
DEMAGALHAES_AGING_UP2.605.000
POOLA_INVASIVE_BREAST_CANCER_UP2.580.000
HECKER_IFNB1_TARGETS2.516.000
BOYAULT_LIVER_CANCER_SUBCLASS_G5_DN2.507.000
MCLACHLAN_DENTAL_CARIES_DN2.476.000
LE_EGR2_TARGETS_UP2.445.000
HOSHIDA_LIVER_CANCER_SUBCLASS_S12.403.000
KIM_GLIS2_TARGETS_UP2.390.000
ICHIBA_GRAFT_VERSUS_HOST_DISEASE_D7_UP2.385.000
ALTEMEIER_RESPONSE_TO_LPS_WITH_MECHANICAL_VENTILATION2.374.000
JOHANSSON_GLIOMAGENESIS_BY_PDGFB_UP2.373.000
MCBRYAN_PUBERTAL_TGFB1_TARGETS_DN2.366.000
STEARMAN_TUMOR_FIELD_EFFECT_UP2.361.000
BURTON_ADIPOGENESIS_32.357.000
FLECHNER_BIOPSY_KIDNEY_TRANSPLANT_REJECTED_VS_OK_UP2.355.000
MCBRYAN_PUBERTAL_BREAST_4_5WK_UP2.340.000
ONDER_CDH1_TARGETS_2_DN2.328.000
MCBRYAN_PUBERTAL_BREAST_6_7WK_DN2.322.000
ISHIDA_E2F_TARGETS2.297.000
KORKOLA_TERATOMA2.292.000
LIU_VAV3_PROSTATE_CARCINOGENESIS_UP2.290.000
PASINI_SUZ12_TARGETS_DN2.262.001
MIKKELSEN_NPC_HCP_WITH_H3K27ME32.253.001
CHANG_CYCLING_GENES2.253.001
MOSERLE_IFNA_RESPONSE2.252.001
ZHOU_CELL_CYCLE_GENES_IN_IR_RESPONSE_24HR2.250.001
BOYLAN_MULTIPLE_MYELOMA_C_D_DN2.244.001
PICCALUGA_ANGIOIMMUNOBLASTIC_LYMPHOMA_UP2.233.001
WENG_POR_TARGETS_LIVER_UP2.233.001
KANG_DOXORUBICIN_RESISTANCE_UP2.232.001
ACEVEDO_FGFR1_TARGETS_IN_PROSTATE_CANCER_MODEL_UP2.231.001
MCLACHLAN_DENTAL_CARIES_UP2.229.001
LENAOUR_DENDRITIC_CELL_MATURATION_UP2.226.001
BROWN_MYELOID_CELL_DEVELOPMENT_UP2.222.001
YAGI_AML_FAB_MARKERS2.216.001
NAKAYAMA_SOFT_TISSUE_TUMORS_PCA1_UP2.214.001
JECHLINGER_EPITHELIAL_TO_MESENCHYMAL_TRANSITION_UP2.212.001
TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_ERYTHROCYTE_UP2.209.001
YAMASHITA_METHYLATED_IN_PROSTATE_CANCER2.195.001
STEARMAN_LUNG_CANCER_EARLY_VS_LATE_DN2.193.001
GAL_LEUKEMIC_STEM_CELL_DN2.193.001
ODONNELL_TARGETS_OF_MYC_AND_TFRC_DN2.188.001
TAKEDA_TARGETS_OF_NUP98_HOXA9_FUSION_10D_UP2.186.001
CHIANG_LIVER_CANCER_SUBCLASS_PROLIFERATION_UP2.163.001
WALLACE_PROSTATE_CANCER_RACE_UP2.163.001
WHITFIELD_CELL_CYCLE_LITERATURE2.162.001
MORI_IMMATURE_B_LYMPHOCYTE_UP2.159.001
SMID_BREAST_CANCER_LUMINAL_B_DN2.159.001
CROONQUIST_NRAS_SIGNALING_DN2.155.001
TAKEDA_TARGETS_OF_NUP98_HOXA9_FUSION_8D_DN2.154.001
CROONQUIST_IL6_DEPRIVATION_DN2.151.001
DELYS_THYROID_CANCER_UP2.149.001
MURATA_VIRULENCE_OF_H_PILORI2.148.001
LI_INDUCED_T_TO_NATURAL_KILLER_UP2.144.001
SERVITJA_ISLET_HNF1A_TARGETS_UP2.131.001
HAN_JNK_SINGALING_DN2.129.001
WIEDERSCHAIN_TARGETS_OF_BMI1_AND_PCGF22.122.001
BERENJENO_ROCK_SIGNALING_NOT_VIA_RHOA_DN2.119.001
GOLDRATH_ANTIGEN_RESPONSE2.119.001
ZHOU_CELL_CYCLE_GENES_IN_IR_RESPONSE_6HR2.115.001
YU_MYC_TARGETS_UP2.114.001
SCHUETZ_BREAST_CANCER_DUCTAL_INVASIVE_UP2.113.001
RODWELL_AGING_KIDNEY_NO_BLOOD_UP2.107.001
LIAN_LIPA_TARGETS_3M2.097.002
TAKEDA_TARGETS_OF_NUP98_HOXA9_FUSION_16D_UP2.097.002
SWEET_KRAS_TARGETS_UP2.096.002
TSAI_RESPONSE_TO_RADIATION_THERAPY2.094.002
MIKKELSEN_MCV6_HCP_WITH_H3K27ME32.094.002
MARTORIATI_MDM4_TARGETS_NEUROEPITHELIUM_DN2.093.002
RHODES_UNDIFFERENTIATED_CANCER2.092.002
CHIARADONNA_NEOPLASTIC_TRANSFORMATION_KRAS_CDC25_DN2.090.002
HAN_JNK_SINGALING_UP2.089.002
AMIT_SERUM_RESPONSE_40_MCF10A2.088.002
WORSCHECH_TUMOR_EVASION_AND_TOLEROGENICITY_UP2.087.002
LIAN_LIPA_TARGETS_6M2.086.002
AKL_HTLV1_INFECTION_UP2.081.002
OKAMOTO_LIVER_CANCER_MULTICENTRIC_OCCURRENCE_UP2.081.002
LEE_EARLY_T_LYMPHOCYTE_UP2.080.002
LABBE_TARGETS_OF_TGFB1_AND_WNT3A_DN2.080.002
KATSANOU_ELAVL1_TARGETS_UP2.079.002
VANHARANTA_UTERINE_FIBROID_UP2.074.002
CHICAS_RB1_TARGETS_GROWING2.073.002
RODWELL_AGING_KIDNEY_UP2.072.002
VECCHI_GASTRIC_CANCER_ADVANCED_VS_EARLY_UP2.067.002
ABRAHAM_ALPC_VS_MULTIPLE_MYELOMA_UP2.067.002
LIM_MAMMARY_LUMINAL_MATURE_DN2.066.002
KENNY_CTNNB1_ßTARGETS_UP2.050.002
BASAKI_YBX1_TARGETS_UP2.046.002
LIANG_SILENCED_BY_METHYLATION_UP2.045.002
CAVARD_LIVER_CANCER_MALIGNANT_VS_BENIGN2.038.003
KEEN_RESPONSE_TO_ROSIGLITAZONE_DN2.036.003
DAUER_STAT3_TARGETS_DN2.035.003
KAMMINGA_EZH2_TARGETS2.032.003
CHANG_IMMORTALIZED_BY_HPV31_DN2.031.003
KOBAYASHI_EGFR_SIGNALING_24HR_DN2.027.003
JEON_SMAD6_TARGETS_UP2.022.003
IGLESIAS_E2F_TARGETS_UP2.017.004
DAZARD_UV_RESPONSE_CLUSTER_G242.016.004
SENGUPTA_NASOPHARYNGEAL_CARCINOMA_UP2.008.004
ROSS_AML_WITH_CBFB_MYH11_FUSION2.007.004
URS_ADIPOCYTE_DIFFERENTIATION_DN2.006.004
DAZARD_RESPONSE_TO_UV_SCC_UP2.006.004
VERHAAK_AML_WITH_NPM1_MUTATED_UP2.006.004
GOBERT_OLIGODENDROCYTE_DIFFERENTIATION_UP2.004.004
MEISSNER_BRAIN_HCP_WITH_H3K27ME32.001.004
KAMIKUBO_MYELOID_CEBPA_NETWORK1.998.004
VERHAAK_GLIOBLASTOMA_NEURAL1.997.004
LIANG_SILENCED_BY_METHYLATION_21.992.004
TURASHVILI_BREAST_LOBULAR_CARCINOMA_VS_LOBULAR_NORMAL_DN1.989.005
TAKEDA_TARGETS_OF_NUP98_HOXA9_FUSION_3D_UP1.980.005
MCDOWELL_ACUTE_LUNG_INJURY_UP1.974.005

Note: FDR (false-discovery rate) q value: adjusted P value; NES, normalized enrichment score.

PEDF Knockout Livers Display a Genomic Signature Resembling Hepatocellular Carcinoma Categorized by Wnt/β-Catenin Signaling

Comparison of liver-specific gene expression signatures of genetic and chemical perturbation to PEDF KO livers showed a striking resemblance to various human HCC subsets marked by overactive Wnt/β-catenin signaling (Table 2).3, 29, 30, 31 Furthermore, PEDF KO liver expression profiles also correlated with the gene expression patterns of nonliver tissue experimental models where constitutively active mutant β-catenin was overexpressed (Table 2). Additionally, we observed overexpression of both Fzd 1 and 7, Wnt coreceptors that have been reported to be induced in human HCC specimens and cell lines (Figure 2). Downstream targets of Wnt/β-catenin signaling, such as Ccnd1, Ccnd3, and c-Jun, were also found to be up-regulated in PEDF KO livers.
Table 2

Up-Regulated Gene Sets From PEDF KO Livers Matching Gene Expression Signatures Associated With Aberrant Wnt/β-Catenin Signaling

NameFDRaDescription, Web Link, and PubMed ID
HOSHIDA LIVER CANCER SUBCLASS S1<.001Gene signature from HCC subset with aberrant Wnt activationhttp://www.broadinstitute.org/gsea/msigdb/cards/HOSHIDA_LIVER_CANCER_SUBCLASS_S1PUBMED ID: 19723656
KENNY CTNNB1 TARGETS UP.002Genes up-regulated in mammary epithelial cells with constitutively active mutant β-catenin genehttp://www.broadinstitute.org/gsea/msigdb/cards/KENNY_CTNNB1_TARGETS_UP.htmlPUBMED ID: 15642117
CAVARD LIVER CANCER MALIGNANT VS BENIGN.003Genes identified by subtractive hybridization to compare gene expression between malignant and benign components of a human HCC occurring from pre-existing adenoma with activated β-cateninhttp://www.broadinstitute.org/gsea/msigdb/cards/CAVARD_LIVER_CANCER_MALIGNANT_VS_BENIGN.htmlPUBMED ID: 16314847
CHIANG LIVER CANCER SUBCLASS CTNNB1 UP.031Genes up-regulated in the subclass of HCC characterized by activated β-catenin (CTNNB1) genehttp://www.broadinstitute.org/gsea/msigdb/cards/CHIANG_LIVER_CANCER_SUBCLASS_CTNNB1_UP.htmlPUBMED ID: 18701503
CAIRO HEPATOBLASTOMA UP.050Gene signature from human hepatoblastoma characterized by Wnt/β-catenin activationhttp://www.broadinstitute.org/gsea/msigdb/cards/CAIRO_HEPATOBLASTOMA_UP.htmlPUBMED ID: 19061838

FDR (false-discovery rate): adjusted P value (FDR q value).

Figure 2

Expression profiling of PEDF knockout (KO) livers demonstrates up-regulation of genes involved in Wnt/β-catenin signaling. Items in red represent genes that were up-regulated <1.1-fold in PEDF KO compared with wild-type (WT) livers. In particular, Frizzled ligands known to play a role in hepatocarcinogenesis were up-regulated. Induction of multiple downstream targets of Wnt/β-catenin (Ccnd1, Ccnd3, Jun, and Plau) suggests transcriptional activation of Wnt/β-catenin signaling.

PEDF Inhibits Activation of the Wnt Coreceptor LRP6 In Vivo

To evaluate concordance with the genomic analysis, we interrogated components of the Wnt/β-catenin signaling pathway in PEDF KO livers before and after PEDF reconstitution. PEDF KO livers showed enhanced phospho-LRP6 levels and active β-catenin compared with WT controls in 7-month-old mice (Figure 3A, P < .02). A similar activation of LRP6 was seen in 2-month-old mice (Figure 3B, P < .05). Restoration of PEDF in KO mice resulted in decreased LRP6 phosphorylation without affecting total LRP6 levels (Figure 3C, P = .05). Moreover, gene expression of downstream canonical Wnt signaling pathway targets Ccnd1 and c-Jun was increased in PEDF KO livers versus controls (Figure 3D, P < .05). These results indicate that PEDF functions as an antagonist of hepatic LRP6 activation in vivo and that exogenous PEDF can inhibit LRP6 activation in vivo.
Figure 3

PEDF inhibits LRP6 phosphorylation in murine livers. (A) Increased phospho-LRP6 and nonphosphorylated (active) β-catenin in 7-month-old PEDF knockout (KO) mice and corresponding quantification of immunoblots (P < .02). (B) Younger 2 month-old) PEDF KO mice also show increased phosphorylation of LRP6 (P < .05). (C) PEDF restoration in vivo reduces LRP6 activation (P = .05). (D) Gene expression of Ccnd1 and c-Jun in murine control and PEDF KO livers. Representative data from duplicate experiments conducted with n = 3–4/group for immunoblots. Quantitative reverse-transcription polymerase chain reaction data, n = 6/group. Data are presented as mean ± SD.

PEDF Loss Is Associated With Increased Fibrogenic Markers and Enhanced Cellular Proliferation

PEDF expression is reduced in human cirrhosis, and its restoration in two different models of experimental liver cirrhosis mitigates fibrotic changes.14, 16 Consistent with this finding, the GSEA revealed an induction of pathways related to extracellular matrix deposition in PEDF KO liver tissue (Figure 4A, Supplementary Table 1). Biochemical assessment of collagen content and specific collagen subtypes, however, revealed a more complex picture of the matricellular changes in the absence of PEDF.
Figure 4

Absence of PEDF is permissive for induction of fibrogenic markers. (A) Gene expression heat maps show up-regulation of DNA replication, collagen, and extracellular matrix organization pathways. Heat maps represent graphic gene expressions of the genes contributing most to statistically significant enrichment score in gene set enrichment analysis (core enriched genes). The log transformed color expression scale is shown at the bottom of the figure. (B) PEDF KO livers demonstrate enhanced expression of profibrotic cytokines (tgfb1, P < .05; pdgfa, P < .01, vegfa, P < .01) and fibrillar collagen. (C) Decreased hydroxyproline in PEDF KO livers. (D) Second harmonic generation (SHG) imaging demonstrates enhanced fibrillar collagen deposition adjacent to vessels in PEDF KO livers. (E) Transforming growth factor-β (TGF-β) and fibrillar type I and III collagens were increased in PEDF KO livers under reducing and nonreducing conditions. Quantitative reverse-transcription polymerase chain reaction data, n = 5–6/group; data are presented as mean ± S.E.M. Representative SHG images taken from n = 3/group. Representative hydroxyproline data from n = 4 separate experiments from three different sets of age-matched livers; data are presented as mean ± SD. Immunoblots are from n = 3 livers/group from three separate experiments; data are presented as mean ± SD.

Confirmation of fibrogenic cytokines with quantitative PCR showed that tgfb1 and pdgfa were significantly increased, and thbs1, an activator of transforming growth factor-β, showed a trend toward increased expression (Figure 4B). Angiogenic factors play a role in promoting fibrogenesis and can be regulated by Wnt pathway activation. Enhanced expression of vegfa was present in PEDF KO livers (Figure 4B). Similarly, expression of col1a was increased but not that of other fibrillar collagen types such as col5a1. Surprisingly, the total hydroxyproline content of PEDF KO livers was 75% of the control livers (Figure 4C), indicating that overall the collagen content was decreased. However, SHG imaging revealed visual evidence of increased fibrillar collagen in PEDF KO livers (Figure 4D). Consistent with the SHG imaging, the fibrillar collagen types I and III levels in PEDF KO livers were higher than in the controls (Figure 4E). Thus, a preferential induction of fibrillar collagen occurs in PEDF KO livers, but it is accompanied by an overall decrease in other collagen or structural proteins that contain hydroxyproline residues.

PEDF Is a Secreted Antagonist of Wnt/β-Catenin Signaling in Hepatocellular Carcinoma Cells

Findings in murine livers were extended to human HCC cells to determine whether PEDF functions as a Wnt antagonist. Both HepG2 and Huh7 cells secreted PEDF into the CM (Figure 5A and C). In HepG2 cells, siRNA-mediated PEDF knockdown led to increased phospho-LRP6 and active β-catenin levels (Figure 5A and B, P < .01). Similar results were observed in Huh-7 cells after PEDF knockdown (Figure 5C and D, P < .01).
Figure 5

PEDF inhibits canonical Wnt/β-catenin signaling in human hepatocellular carcinoma (HCC) cells. (A) PEDF knockdown in HepG2 cells results in increased LRP6 phosphorylation and increased active β-catenin. (B) Corresponding quantification of phospho-LRP6 and active β-catenin after RNA interference of PEDF in HepG2 cells (P < .01). (C) Huh-7 cells display increased LRP6 phosphorylation and active β-catenin after depletion of endogenous PEDF. (D) Quantification of phospho-LRP6 and active β-catenin after RNA interference of PEDF in Huh-7 cells (P < .01). (E) A PEDF 34-mer peptide decreased LRP6 phosphorylation and active β-catenin levels in Huh-7 cells (P < .01). (F) Changes in the levels of downstream targets of canonical Wnt signaling such as phospho-GSK3β/total GSK3β and phospho-ERK/total ERK reflect inhibition of Wnt signaling with the PEDF 34-mer. (G) Gene targets of the Wnt pathway, ccnd1 and c-Jun, were significantly suppressed with PEDF 34-mer (P < .05 and P < .01, respectively). Representative data are shown from three separate experiments conducted with n = 3/group for siRNA experiments. Data from 34-mer peptide experiments were performed in duplicate and n = 3/group. Data are presented as mean ± SD.

A 34-mer sequence within PEDF mediates its well-documented antiangiogenic effects. Because angiogenesis requires Wnt signaling, we surmised that the PEDF 34-mer is responsible for its effects on Wnt/β-catenin signaling. Adding the PEDF 34-mer decreased the levels of active phospho-LRP6 and active β-catenin (Figure 5E, P < .01). Downstream regulators and targets of Wnt signaling such as GSK3β and phospho-ERK levels corresponded to the effects of Wnt blockade with PEDF 34-mer (Figure 5F). Levels of phospho-GSK3β (inactive form) were diminished consistent with increased intracellular active GSK3β and enhanced degradation of β-catenin seen with Wnt blockade. The downstream targets of β-catenin such as phospho-ERK were decreased. Moreover, transcriptional targets of canonical Wnt signaling such as ccnd1 and c-Jun were suppressed with the 34-mer (Figure 5G). These results demonstrate that PEDF antagonizes Wnt/β-catenin signaling in human HCC cells and point to a 34-amino-acid peptide fragment derived from PEDF that mediates LRP6 blockade.

Induction of Liver Fibrosis and Sporadic Hepatocellular Carcinoma in PEDF Knockout Mice After Western Diet Feeding

Genomic profiling of PEDF KO livers corresponded to various human HCC subsets marked by overactive Wnt/β-catenin, but spontaneous HCC did not develop in PEDF KO mice up to 1 year of age (data not shown). To test whether diet-induced obesity could induce HCC formation in the absence of PEDF, a Western diet (40% fat, 44% carbohydrate, 16% protein) was given to PEDF KO and WT mice for 6 to 8 months. A Western diet increased fibrosis in WT and PEDF KO mice as shown by trichrome staining and hydroxyproline measurements (Figure 6A).
Figure 6

A Western diet induces liver fibrosis and sporadic hepatocellular carcinoma (HCC) in PEDF knockout (KO) mice. (A) Six months of Western diet feeding induced liver fibrosis in wild-type (WT) and PEDF KO mice as demonstrated by trichrome staining (magnification 20×; size bars: 100 μM) and measured by hydroxyproline content. (B) Second harmonic generation (SHG) imaging shows increased fibrillar type I/III collagen deposition in PEDF KO mice livers (bottom panels) compared with WT (top panels) mice fed a Western diet. Magnification: left 4×; right 20×. Three-dimensional reconstruction of serial SHG images reveals prominence of fibrillar collagen around blood vessels in PEDF KO livers. (C) PEDF KO mice showing macroscopic tumor in mice fed the Western diet versus control diet. Bottom panel shows histology of a well-differentiated HCC arising in KO mouse fed a Western diet. L, liver; T, tumor; magnification 10×, arrow at demarcation between liver and HCC; 20×, arrows highlighting unpaired blood vessels in HCC.

Increased fibrillar collagen deposition as seen with SHG imaging was more apparent in PEDF KO than WT livers (Figure 6B). Three-dimensional reconstructed images from SHG imaging revealed an increase in fibrillar collagen adjacent to vessels, outlining their structures (Figure 6B). A subset of PEDF KO mice (3 of 12) developed macroscopic tumor formation compared with none (0 of 12) in the control mice (Figure 6C) after chronic Western diet feeding. Histologic examination showed features consistent with a well-differentiated HCC with the increased presence of unpaired blood vessels (Figure 6C, arrows). In contrast to the diet-induced HCC, a one-time diethylnitrosamine injection did not result in HCC formation in either the WT or KO mice at 6 months (data not shown). Thus, PEDF deficiency combined with a chronic Western diet led to sporadic HCC formation.

PEDF Expression Is Reduced in Human Hepatocellular Carcinoma Specimens

A previous study of embryonic and adult human tissue sites demonstrated that the liver has the highest expression levels of the PEDF gene, and the recent tissue-based map of the human proteome confirmed this finding.20, 21 Relative to the high endogenous levels in the normal liver, we asked whether PEDF levels in HCC specimens were diminished. Staining of PEDF showed diffuse and strong immunoreactivity for PEDF in normal liver tissue (Figure 7A, left). In contrast, PEDF immunolabeling was statistically significantly reduced in HCC compared with the adjacent liver (Figure 7A, middle and right, and B; P < .01). Thus, human HCC specimens demonstrated decreased PEDF expression compared with the adjacent nontransformed hepatocytes.
Figure 7

PEDF expression is reduced in human hepatocellular carcinoma (HCC). (A) Immunostaining for PEDF in human livers (top) and human HCC specimens (bottom). (B) Semiquantitative scoring of PEDF staining demonstrates increased labeling in normal liver compared with HCC specimens (P < .01; n = 14). NL, normal.

Discussion

Aberrant Wnt/β-catenin signaling underlies a number of malignancies, including HCC.3, 35 Our study has identified PEDF as an endogenous inhibitor of LRP6 activation that is secreted in response to canonical Wnt ligands. Enhanced LRP6 and β-catenin activation was seen in the livers of PEDF KO mice and in two human HCC cell lines where PEDF was depleted. Further, adding a PEDF 34-mer inhibited LRP6, active β-catenin, and downstream targets of Wnt signaling, thereby identifying the region on PEDF that mediates Wnt inhibitory effects. These data support the idea that PEDF functions as a part of a negative feedback loop to modulate Wnt signaling. Gene enrichment data supported this interaction. Further, biochemical analyses of PEDF KO murine livers before and after PEDF reconstitution in vivo confirmed that PEDF can block Wnt signaling in the liver. PEDF knockdown in two human HCC cell lines led to increased Wnt/β-catenin signal transduction with a specific 34-amino-acid region mediating these effects. Thus, PEDF is regulated by and inhibits the canonical Wnt/β-catenin pathway in the murine liver and in two human HCC cell lines. The genomic analysis in this study correlated with genetic profiles of murine hepatocarcinogenesis and human HCC subsets marked by overactive Wnt/β-catenin signaling, but PEDF deficiency alone did not result in HCC formation. A prolonged nutritional challenge induced only a fraction of animals to develop a well-differentiated HCC. These results are consistent with models of hepatic overexpression of normal and mutant β-catenin that do not result in spontaneous HCC. Paradoxically, deletion of β-catenin from the liver is permissive for HCC formation after injection with diethylnitrosamine. This surprising effect of β-catenin deletion conferring an increased rate of HCC development in murine models, rather than its overexpression, reflects the importance of this pathway for liver tissue homeostasis. In its absence, the liver is prone to injury from oxidative stress and enhanced fibrosis. Thus, findings from β-catenin transgenic mice are at odds with those from genomic and immunohistochemical studies in human HCC, which point to Wnt/β-catenin signaling as a significant driver in a subset of HCC. The absence of HCC found in transgenic models of β-catenin overexpression and the occurrence of HCC with β-catenin deletion highlights the limitations of constitutively active or deletion of β-catenin, where temporal and context-specific activity of β-catenin may more accurately capture its role in human disease. Absence of PEDF led to complex changes to the ECM of the liver. Despite lower total hydroxyproline levels, type I/III collagen content and SHG imaging demonstrated increased deposition of fibrillar collagen in PEDF KO livers. In experimental and human cirrhosis specimens, PEDF levels are also depleted. Restoration of PEDF in experimental models of CCl4 [chemokine (C-C motif) ligand 4] and bile-duct ligated cirrhosis ameliorates tissue fibrosis, suggesting an important role for endogenous PEDF in maintaining quiescence of the liver ECM.14, 16 These findings are consistent with studies that demonstrate Wnt/β-catenin signaling as a regulator of the fibrotic response in diverse organs.37, 38, 39 Further, examination of the PEDF null state in humans, osteogenesis imperfecta type VI, points to abnormalities in the extracellular matrix.24, 40 These findings suggest that PEDF may regulate matricellular content in multiple organ sites. This study provides further evidence to support the role of PEDF in Wnt/β-catenin signaling. The discovery through exome sequencing that null mutations in PEDF cause osteogenesis imperfecta type VI implicated PEDF’s role in modulating Wnt/β-catenin signaling in human disease.22, 40, 41 We and others have shown that PEDF could induce differentiation of progenitor cells and that these effects were LRP6 dependent.22, 42 In the eye, PEDF inhibited Wnt3a-mediated β-catenin nuclear translocation, and recent studies showed that PEDF directly suppressed other Wnt modulators such as sclerostin.19, 41 Exogenous PEDF protein and a peptide derived from PEDF demonstrate inhibitory effects on Wnt signaling in the liver and in two HCC cell lines, thereby pointing to its role in attenuating Wnt signaling in a negative feedback loop. Interestingly, PEDF appears to promote Wnt/β-catenin signaling in stem cell populations but inhibits Wnt signaling in differentiated cells.22, 41 Differential effects are also seen in Wnt ligands and Wnt-related proteins such as Wnt5a and Dickkopf2, and stem from selective expression patterns of Wnt coreceptors.28, 43, 44 Future studies detailing the expression patterns of different Fzd species should allow identification of the receptor combination that directs PEDF’s different functional outcomes as they pertain to Wnt signaling. In summary, PEDF functions as an endogenous inhibitor of Wnt/β-catenin signaling in the liver and in human HCC cells. These findings provide a framework for understanding the antitumor properties of PEDF in other cancer types.
  44 in total

1.  Pigment epithelium derived factor suppresses expression of Sost/Sclerostin by osteocytes: implication for its role in bone matrix mineralization.

Authors:  Feng Li; Na Song; Joyce Tombran-Tink; Christopher Niyibizi
Journal:  J Cell Physiol       Date:  2015-06       Impact factor: 6.384

2.  3-dimensional imaging of collagen using second harmonic generation.

Authors:  Guy Cox; Eleanor Kable; Allan Jones; Ian Fraser; Frank Manconi; Mark D Gorrell
Journal:  J Struct Biol       Date:  2003-01       Impact factor: 2.867

Review 3.  Beta-catenin signaling, liver regeneration and hepatocellular cancer: sorting the good from the bad.

Authors:  Kari Nichole Nejak-Bowen; Satdarshan P S Monga
Journal:  Semin Cancer Biol       Date:  2010-12-21       Impact factor: 15.707

Review 4.  Secreted and transmembrane wnt inhibitors and activators.

Authors:  Cristina-Maria Cruciat; Christof Niehrs
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-03-01       Impact factor: 10.005

5.  High-resolution, 2- and 3-dimensional imaging of uncut, unembedded tissue biopsy samples.

Authors:  Richard Torres; Sam Vesuna; Michael J Levene
Journal:  Arch Pathol Lab Med       Date:  2013-07-05       Impact factor: 5.534

6.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

7.  Pigment epithelium-derived factor is an intrinsic antifibrosis factor targeting hepatic stellate cells.

Authors:  Tsung-Chuan Ho; Show-Li Chen; Shou-Chuan Shih; Ju-Yun Wu; Wen-Hua Han; Huey-Chuan Cheng; Su-Lin Yang; Yeou-Ping Tsao
Journal:  Am J Pathol       Date:  2010-08-13       Impact factor: 4.307

8.  Concurrent PEDF deficiency and Kras mutation induce invasive pancreatic cancer and adipose-rich stroma in mice.

Authors:  Paul J Grippo; Philip S Fitchev; David J Bentrem; Laleh G Melstrom; Surabhi Dangi-Garimella; Seth B Krantz; Michael J Heiferman; Chuhan Chung; Kevin Adrian; Mona L Cornwell; Jan B Flesche; Sambasiva M Rao; Mark S Talamonti; Hidayatullah G Munshi; Susan E Crawford
Journal:  Gut       Date:  2012-01-10       Impact factor: 23.059

Review 9.  The effects of PEDF on cancer biology: mechanisms of action and therapeutic potential.

Authors:  S Patricia Becerra; Vicente Notario
Journal:  Nat Rev Cancer       Date:  2013-03-14       Impact factor: 60.716

10.  Expression of pigment epithelium-derived factor decreases liver metastasis and correlates with favorable prognosis for patients with ductal pancreatic adenocarcinoma.

Authors:  Hirofumi Uehara; Masaki Miyamoto; Kentaro Kato; Yuma Ebihara; Hiroyuki Kaneko; Hiroyuki Hashimoto; Yoshihiro Murakami; Ryunosuke Hase; Ryo Takahashi; Seiji Mega; Toshiaki Shichinohe; You Kawarada; Tomoo Itoh; Shunichi Okushiba; Satoshi Kondo; Hiroyuki Katoh
Journal:  Cancer Res       Date:  2004-05-15       Impact factor: 12.701

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  14 in total

1.  PEDF regulates plasticity of a novel lipid-MTOC axis in prostate cancer-associated fibroblasts.

Authors:  Francesca Nardi; Philip Fitchev; Omar E Franco; Jelena Ivanisevic; Adrian Scheibler; Simon W Hayward; Charles B Brendler; Michael A Welte; Susan E Crawford
Journal:  J Cell Sci       Date:  2018-07-11       Impact factor: 5.285

2.  A Role for Low-Density Lipoprotein Receptor-Related Protein 6 in Blood Vessel Regression in Wound Healing.

Authors:  Elizabeth R Michalczyk; Lin Chen; Mariana B Maia; Luisa A DiPietro
Journal:  Adv Wound Care (New Rochelle)       Date:  2019-12-06       Impact factor: 4.730

Review 3.  Evolution of the liver biopsy and its future.

Authors:  Dhanpat Jain; Richard Torres; Romulo Celli; Jeremy Koelmel; Georgia Charkoftaki; Vasilis Vasiliou
Journal:  Transl Gastroenterol Hepatol       Date:  2021-04-05

Review 4.  Stem Cell Therapy for Hepatocellular Carcinoma: Future Perspectives.

Authors:  Hoda Elkhenany; Ahmed Shekshek; Mohamed Abdel-Daim; Nagwa El-Badri
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

5.  Pigment Epithelium-derived Factor (PEDF) Blocks Wnt3a Protein-induced Autophagy in Pancreatic Intraepithelial Neoplasms.

Authors:  Jingjing Gong; Glenn Belinsky; Usman Sagheer; Xuchen Zhang; Paul J Grippo; Chuhan Chung
Journal:  J Biol Chem       Date:  2016-08-24       Impact factor: 5.157

6.  Pigment epithelium derived factor regulates human Sost/Sclerostin and other osteocyte gene expression via the receptor and induction of Erk/GSK-3beta/beta-catenin signaling.

Authors:  Feng Li; Jarret D Cain; Joyce Tombran-Tink; Christopher Niyibizi
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2018-08-01       Impact factor: 5.187

7.  Pigment epithelium-derived factor restoration increases bone mass and improves bone plasticity in a model of osteogenesis imperfecta type VI via Wnt3a blockade.

Authors:  Glenn S Belinsky; Bharath Sreekumar; Jillian W Andrejecsk; W Mark Saltzman; Jingjing Gong; Raimund I Herzog; Samantha Lin; Valerie Horsley; Thomas O Carpenter; Chuhan Chung
Journal:  FASEB J       Date:  2016-04-28       Impact factor: 5.191

8.  Pigment Epithelium-Derived Factor (PEDF) is a Determinant of Stem Cell Fate: Lessons from an Ultra-Rare Disease.

Authors:  Usman Sagheer; Jingjing Gong; Chuhan Chung
Journal:  J Dev Biol       Date:  2015-11-20

9.  Incompatibility of the circadian protein BMAL1 and HNF4α in hepatocellular carcinoma.

Authors:  Baharan Fekry; Aleix Ribas-Latre; Corrine Baumgartner; Jonathan R Deans; Christopher Kwok; Pooja Patel; Loning Fu; Rebecca Berdeaux; Kai Sun; Mikhail G Kolonin; Sidney H Wang; Seung-Hee Yoo; Frances M Sladek; Kristin Eckel-Mahan
Journal:  Nat Commun       Date:  2018-10-19       Impact factor: 14.919

10.  Pigment epithelium-derived factor (PEDF) normalizes matrix defects in iPSCs derived from Osteogenesis imperfecta Type VI.

Authors:  Glenn S Belinsky; Leanne Ward; Chuhan Chung
Journal:  Rare Dis       Date:  2016-07-19
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