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Copyright © American Society for Investigative Pathology Elevated Expression of the miR-17–92 Polycistron and miR-21 in Hepadnavirus-Associated Hepatocellular Carcinoma Contributes to the Malignant Phenotype From the Marion Bessin Liver Research Center,* Department of Medicine, Albert Einstein College of Medicine, Bronx, NY; Laboratory of RNA Biology,† Rockefeller University, New York, NY; Department of Animal Science,‡ Cornell University College of Veterinary Medicine, Ithaca, NY; Department of Molecular Virology and Microbiology,§ Baylor College of Medicine, Houston, Texas;¶ Biozentrum, University of Basel, Switzerland and Swiss Institute of Bioinformatics, Lausanne, Switzerland Accepted June 13, 2008. This article has been cited by other articles in PMC.Abstract Alterations in microRNA (miRNA) expression in both human and animal models have been linked to many forms of cancer. Such miRNAs, which act directly as repressors of gene expression, have been found to frequently reside in fragile sites and genomic regions associated with cancer. This study describes a miRNA signature for human primary hepatitis B virus-positive human hepatocellular carcinoma. Moreover, two known oncomiRs—miRNAs with known roles in cancer—the miR-17–92 polycistron and miR-21, exhibited increased expression in 100% of primary human and woodchuck hepatocellular carcinomas surveyed. To determine the importance of these miRNAs in tumorigenesis, an in vitro antisense oligonucleotide knockdown model was evaluated for its ability to reverse the malignant phenotype. Both in human and woodchuck HCC cell lines, separate treatments with antisense oligonucleotides specific for either the miR-17–92 polycistron (all six members) or miR-21 caused a 50% reduction in both hepatocyte proliferation and anchorage-independent growth. The combination of assays presented here supports a role for these miRNAs in the maintenance of the malignant transformation of hepatocytes. The classical models of cancer establish that fully malignant cancers are the product of alterations in multiple cancer-related pathways.1 Notably, the discovery of mammalian microRNAs (miRNAs) has uncovered a new set of genetic elements that act directly as repressors of gene expression and have been causally linked to several types of cancer.2,3,4,5 miRNAs are transcribed as single or clustered primary transcripts, which are further processed into mature miRNAs. The mature miRNA is incorporated in the RNA-induced silencing complex, which mediates the mRNA target gene down-regulation by mRNA cleavage or translational repression.6,7 Recent reports have demonstrated that changes in the expression of miRNAs vary dramatically across tumor types as well as developmental lineages.8,9 Nevertheless, there is still little information available about specific miRNA expression patterns for hepatocellular carcinomas. Human hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide, and although chronic infection with human hepatitis B virus (HBV) or hepatitis C virus is known to be the casual agent for more than 80% of cases, treatment options are limited and patient morbidity is high.10 The lifetime risk of developing HCC is increased by 25 to 37 times in HBV surface antigen carriers as compared with non-infected people, even after clearance of HBV surface antigen.11 In addition, new risk factors such as obesity and diabetes have been shown to synergistically increase the risk of developing HCC.12,13 In light of the potential importance of miRNAs in HCC and other cancers, our previous work carefully defined the profile of miRNAs that are expressed and differentially regulated in a wide spectrum of tumors and normal tissues, including normal liver and HCC cell lines.14 The analysis of miRNA cloning data from this study revealed multiple differences in miRNA frequencies between normal liver and HCC cell lines.14 Of interest, both miR-21 and the polycistron miR-17–92,which are miRNAs associated with other malignancies,15,16 exhibited higher expression levels in HCC cell lines than those observed in normal liver. For example, clones of miR-21 comprised 16.7% of the miRNAs cloned from HCC cell lines (HepG2, PLC, Huh7) whereas only 0.1% of the liver miRNA clones were represented by this miRNA.14 Furthermore, the expression of the mir-17–92 polycistron was increased 16-fold in HCC derived cell lines as compared to normal liver (7.4% vs. 0.6% of all miRNA clones). In this report, we have expanded our miRNA study to include primary HBV-positive human HCCs and woodchuck HCCs associated with chronic woodchuck hepatics virus (WHV) infection. The woodchuck is a powerful animal model for HCC as there is a 100% incidence rate of tumor development after chronic infection with WHV.17 Clonally selected integrations of HBV DNA and WHV DNA are commonly identified in human and woodchuck HCCs, respectively,18,19 and these integrations have been linked to proto-oncogene activation.19,20 Specifically, studies of woodchuck HCCs have shown that a large majority (~70% or more) of woodchuck HCCs contain clonally selected, activated N-myc genes due to WHV DNA integration.21,22 Co-expression of a fetal liver growth factor, insulin-like growth factor-2, also occurs coordinately with N-myc and blocks apoptosis.23,24 Our survey detected increases in miR-21 and members of the miR-17–92 polycistron in virtually all HCCs tested. Furthermore, loss-of-function studies were performed in vitro to determine the role of these miRNAs in the maintenance of a malignant phenotype. This study clarifies the miRNA signature for HBV- and WHV-positive HCCs and demonstrates functional roles for these miRNAs in proliferation and growth of HCC cells. Materials and Methods Tissues Human HCC samples and matched non-tumor liver tissue (19 sets) were obtained from surgical resections of anonymous donors in the Qidong Liver Cancer institute, Jangsu, People’s Republic of China. The features of this sample population have been previously described.25 There was evidence of HBV infection (circulating antibody to HBV surface antigen, antibody to HBV core antigen, or HBV DNA integrated into tumor DNA) for all 19 patients. HBV-associated cirrhotic livers were obtained from surgical resection for anonymous donors at Mount Sinai Hospital, New York, NY. The features of these samples were also previously described.26 Furthermore, woodchuck HCCs positive for WHV were obtained from euthanized animals in accordance with NIH guidelines. Tumor and matching non-neoplastic liver from both humans and woodchucks were harvested and immediately frozen in liquid nitrogen. The minimum size of woodchuck HCCs was 1 cm. The woodchuck tumors were evaluated for gamma glutamyl transferase and histological grade.17 The human HCCs were considered end-stage, and histology grade was not available. Cell Lines HCC cell lines were maintained in Minimal Essential Medium (MEM) supplemented with 10% fetal bovine serum, sodium pyruvate, non-essential amino acids, and penicillin-streptomycin. Tissue culture supplies were obtained from Invitrogen (Carlsbad, CA). RNA Isolation and miRNA Cloning RNA was extracted using either the mirVana miRNA isolation kit, (Ambion, Austin, TX) or the Trizol method. First Choice human RNA, human liver, and human HCCs were obtained from Ambion. The source of the Ambion human total liver RNA was a 37-year-old Caucasian male and was negative for human immunodeficiency virus I and II, hepatitis viruses B and C. The source of the Ambion human HCC total RNA was a 60-year-old Caucasian male, tumor staging T3NXMX. Small RNA cloning, sequencing, and annotation were performed as described previously.14 The 25 most highly up-regulated and down-regulated miRNAs in the four hepatocellular carcinoma samples (relative to normal liver) was determined by the ratio of relative cloning frequencies. To reduce the noise of miRNAs with low clone counts, miRNAs with an overall clone count of less than five were excluded from the analysis. The ratio of relative cloning frequencies between the HCC sample and the normal liver sample was calculated and log2-transformed for each individual patient sample. Northern Blots Total RNA samples for HBV or WHV analysis were electrophoretically separated in a 0.2 M formaldehyde/1.2% agarose gel using 15 μg RNA per lane and transferred to Hybond N membranes by the inverted capillary method. Northern blots of woodchuck RNA were hybridized with a 3.2 kb HinDIII DNA fragment corresponding to the full length WHV genome.22 Northern blot analyses of miRNAs were performed with 30 μg total RNA loaded/well on a 15% polyacrylamide/8M urea gel, transferred semidry to a GeneScreen Plus or Hybond N membrane, and hybridized with 20–22nt antisense P32 end-labeled oligonucleotide probes against miR-17, miR-92, miR-122, miR-21, or U43. Gels were stained with ethidium bromide to determine tRNA level. All blots were imaged with a Storm scanner (Molecular Dynamics). Each experiment was performed at least three times. Transfection with Antisense Oligonucleotides 2′O-methyl antisense oligonucleotides (ASOs) were obtained from IDT (Coralville, IA) for miR-17–92a polycistron: miR-17–5p, 5′-ACUACCUGCACUGUAAGCACUUUG-3; miR-18, 5′-UAUCUGCACUAGAUGCACCUUA-3; miR-19a, 5′-UCAGUUUUGCAUAGAUUUGCACA-3; miR-19b, 5′-UCAGUUUUGCAUGGAUUUGCACA-3; miR-20, 5′-UACCUGCACUAUAAGCACUUUA-3; miR-92, 5′-ACAGGCCGGGACAAGUGCAAU-3; miR-21, 5′-AUCGAAUAGUCUGACUACAACU-3; miR-122, 5′-ACCUCACACUGUUACCACAAACA-3; as well as for scramble sequence: 5′-CAUCAAUGCUAGCAUUCGAUC-3; 5′-UGCCAUAGGAUCGAUUCAGUA-3; 5′-GCUGACGAUCGACUGCCAUUAU-3′. At 30% confluence, HepG2 cells grown on poly-d-lysine-coated plates BD Biosciences (Billerica, MA) were transfected using Lipofectamine RNAiMAX, Invitrogen in accordance with manufacturers’ instructions. Cells were treated with ASO to the miR-17–92a polycistron (all six members), miR-21, or miR-122 (negative control) in OPTI-MEM (Invitrogen). Quantitative RT-PCR Quantitative RT-PCR (qRT-PCR) analysis was performed using an ABI 7000 real-time detection system. For the detection of mRNA or the primary miRNA transcript, RNA was harvested at 48 hours and 5 days after transfection with ASOs. cDNA was produced using the High Capacity cDNA Reverse Transcription Kit, Applied Biosystems (Foster City, CA). TaqMan probes for C13orf25 (miR-17–92a primary transcript), E2F1, E2F3, and B2M were obtained from Applied Biosystems and qRT-PCR was performed in accordance with manufacturer protocols. B2M was used as reference. C13orf25 expression was compared to non-transformed liver. E2F1 and E2F3 expression was compared to HepG2 cells treated with lipofectamine only. Results are shown as fold change (2−ΔΔCt). To quantify expression levels of miR-17–92a and miR-21 in cirrhotic liver and in the knockdown experiments, the TaqMan MicroRNA Assay Kit, Applied Biosystems was used to prepare all samples for qRT-PCR, in accordance with the manufacturer’s instructions. RNU43 was used as a reference. Results for cirrhotic liver are shown as fold change (2−ΔΔCt) and results for in vitro knockdown studies are presented as (ΔΔCt) of treated samples as compared with control. Western Blot Cells were lysed in RIPA buffer, Sigma (Saint Louis, MO) with protease inhibitor Complete Mini Roche/Fisher (Pittsburgh, PA). Forty μg of lysate was loaded per lane on 4 to 20% gradient Tris-Glycine gels, Invitrogen, and blotted onto Invitrolon polyvinylidene difluoride (Invitrogen). Blots were probed with polyclonal antibodies (Cell Signaling, Beverly, MA) E2F1 and COX IV (loading control) at a 1:1000 dilution. Bands were visualized by Western Lightning chemiluminescence reagent (Perkin Elmer Life Science, Waltham, MA). Proliferation Assay The Cell Titer 96 AQueous Non-Radioactive Cell Proliferation Assay (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt) (Promega, Madison, WI) was performed 72 hours after transfection in accordance with the manufacturer’s protocol. The level of absorbance was read using the Fluostar Optima multiplate reader. Results are presented as percentage of control. Cell-Cycle Analysis by Propidium Iodide Flow Cytometry Samples were harvested 48 hours after transfection, fixed in 90% ethanol, and kept at −20°C overnight. Cells were immersed in PBS, ribonuclease A (200 μg/ml), and propidium iodide staining solution (20 μg/ml), and incubated at room temperature for 3 hours. Samples were analyzed by flow cytometry for FL-2 area. Total DNA content was measured on a FACScan flow cytometry machine using CellQuest Pro Software (Becton Dickinson) with a minimum of 104 events counted. FL-2 area PI histograms were analyzed with ModFit LT. Experiments were performed in triplicate. Results presented as % of cell in phase. Anchorage Independent Growth Twenty-four hours after transfection with ASO to miR17–92a, miR-21, or miR-122, HepG2 cells in complete media were re-suspended in 0.35% soft agar and layered onto 0.6% solidified agar. Five days after re-suspension in soft agar, colonies were photographed at original magnification ×20. The area of the colonies was determined with the NIH Image J program. Experiments were performed in triplicate. Results are presented as % control. Apoptosis The level of active Caspase-3 was determined in HepG2 cells 5 days after transfection with ASO to either miR17–92a, miR-21 or miR-122 using EnzCheck Caspase-3 Assay Kit, Molecular Probes/Fisher (Pittsburgh, PA) in accordance with manufacturer protocol. The level of absorbance was read using the Fluostar Optima multiplate reader. Results presented as % control. Results miRNA Cloning Survey Reveals a miRNA Signature for Primary Human HCC miRNA profiles of four primary human HCCs, previously associated with chronic HBV infection,25 were determined by small RNA cloning and sequencing.14 In comparison to our previously published liver miRNA profile,14 we identified a distinct miRNA signature for primary HCC (Figure 1)
Northern Blot Analysis Detected Overexpression of the miR-17–92 Polycistron and miR-21 in All Primary HCCs Tested Nineteen primary human HCCs25 and 49 primary woodchuck HCCs, were screened for expression of miRNAs from the miR-17–92 polycistron, miR-21, and miR-122 by Northern blot analysis. Probes for miR-17–5p and miR-92, which represent the beginning and the end of the miR-17–92 polycistron, were used to evaluate its expression. miR-21 and members of the miR-17–92 polycistron were found to be overexpressed in 100% of the human HCCs tested (representative data shown in Figure 2A
Interestingly, expression of the major liver miRNA, miR-122, which is down-regulated in a rat HCC model,28 was maintained in all of the human HCCs samples. Although miR-122 expression was substantially reduced in some of the HBV-positive HCCs (Figure 2A) HBV-Associated Cirrhotic Livers Overexpresses Members of the miR-17–92 Polycistron and miR-21 Compared to Normal Liver Cirrhosis is considered to be a significant aetological factor that precedes HCC in humans, whether it is associated with chronic HBV infection or not. qRT-PCR analysis of human liver and human HCC (Ambion) demonstrates that miR-17–92 polycistron and miR-21 were overexpressed in HCC, a result that is consistent with our Northern blot and cloning data (Figure 3)
Antisense Oligonucleotide in Vitro Knockdown Model of the miR-17–92a Polycistron and miR-21 in HepG2 Cells To select an HCC cell line for the functional study of the mir-17–92 polycistron, we first analyzed the level of the primary transcript (pri-miRNA) of this cluster by qRT-PCR in several HCC cell lines, as has been described recently for mantle cell lymphomas.29 In three replicate experiments, we consistently observed a minimum 15-fold increase of the pri-miRNA in all four HCC cell lines compared to the level of pri-miRNA in human liver (Figure 4)
Loss-of-function models for the miR-17–92 polycistron and miR-21 were created using ASO-transfected HepG2 cells. Knockdown of the miR-17–92 polycistron was achieved by transfecting a mixture of six ASOs against miRs 17–5p, 18a, 19a, 19b, 20, and 92 in equimolar ratio. Reductions in endogenous miRNA levels of HepG2 cells transfected with 2 μmol/L ASO miR-17–92 (~300 nmol/L/individual member) and 250 nmol/L ASO against miR-21 were determined by qRT-PCR at 48 hours and 5 days post-transfection.30 At 48 hours, we observed an average decrease of −2.9 (ΔΔCt) of miR-17.5p, 20 and 92 expression as compared to non-treated cells (Figure 5)
Aspects of the Malignant Phenotype of HepG2 Cells Are Dependent on Expression of the miR-17–92 Polycistron and miR-21 Cell Proliferation and Cell Cycle Progression We performed a (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt) cell proliferation assay to determine the influence of ASO-mediated repression of miR-17–92 and miR-21 on HepG2 proliferation. At low ASO concentrations (5 to 25 nmol/L), we observed an average decrease in cell proliferation of 55% at 72 hours post-transfection with either miR-17–92 polycistron or miR-21 ASOs (Figure 6A)
Fluorescence-activated cell sorter analysis demonstrated that the reduction in proliferation following ASO miRNA treatments of HepG2 cells is attributed to a retardation of the cell cycle (Figure 7)
Anchorage-Independent Growth The reduction in proliferation and cell growth was mirrored by the loss of another malignant phenotype: anchorage-independent growth. HepG2 cells were re-plated into soft agar 24 hours after transfection with the ASOs and allowed to grow for 5 days, at which time randomly selected colonies were photographed and measured (area pixcal2) using NIH Image J. Knockdown of the full miR-17–92 polycistron or miR-21 alone elicited a maximal, 55% reduction in colony size over a concentration range of 25–250 nmol/L ASO (Figure 8A and B)
Apoptosis Assays Finally, the role of the miR-17–92 polycistron and miR-21 on the induction of apoptosis was addressed by determining active caspase-3 levels after ASO treatment. At 5 days post-transfection, there was no statistically significant increase in the level of active caspase-3 in cells treated with either ASOs that target the miR-17–92 polycistron/miR-21 or control ASO (miR-122). However, cells treated with ASO to miR-21 showed an increase in active caspase-3 levels, suggesting that miR-21 has an anti-apoptotic function in HCC, as it has been proposed to have in other systems (Figure 9)
The Effect of Knockout of the miR-17–92a in HepG2 Cells on E2F1 and E2F3 Expression E2F1 is overexpressed in HCC and is a target of miR-17 and miR-20.10,31,32 In our system, knock down of miR-17–92 miRNAs with ASOs produced only a modest 1.3-fold increase in E2F1 mRNA expression. However, in the same cells there was a 2.5-fold increase in E2F3 expression (Figure 10A)
Discussion While altered miRNA expression has been clearly linked to cancer, the molecular mechanisms by which miRNA modulates tumorigenesis are unknown. This study is significant for identifying the highly penetrant activation of two key miRNA loci (miR-17–92 and miR-21) in primary HBV-positive human and WHV-positive woodchuck HCCs. With the aid of a miRNA knockdown strategy that was designed to evaluate the roles of these miRNAs in primary HCCs, we have produced two lines of evidence that they are essential for the maintenance of a malignant phenotype. First, ASO to miR17–92 or miR-21 caused reduction in proliferation that correlated to a retardation of cell cycle progression. Second, we demonstrated a requirement for miR-17–92 and miR-21 in the sustenance of anchorage-independent growth. Elevated expression of the miR-17–92 polycistron has been demonstrated in multiple cancer models.34 Currently, two possible genetic mechanisms are thought to be attributed to the increased expression of the miR-17–92 polycistron: gene amplification and c-Myc activation.35 First, it has been shown that c-Myc induces miR-17–92 expression through direct binding to the miR-17–92 promoter.29 Second, MYC has also been shown to participate in a positive feedback loop with E2F1, a known target of miR-17/20. The targeting of E2F1 by miR17/20 is hypothesized to reduce pro-apoptotic signaling due to excessive expression of E2F1 or MYC.31 miR 21 overexpression presents as a common hallmark of many different cancer types15 and has been linked directly to HCC through the known oncogene, signal transducer and activator of transcription 3, a major mediator of interleukin-6 signaling and participates in cellular transformation through suppression of apoptotic signaling.36 The miR-21-knockdown phenotype of the present work confirms not only its anti-apoptotic function in HCC but also its role in anchorage-independent growth. Recently studies demonstrate that signal transducer and activator of transcription 3 is able to bind the promoter of the miR-21 primary transcript, leading to its activation,37 therefore possibly accounting for the high expression of miR-21 in HCC samples compared to liver. HCC is associated with several risk factors, and our study was restricted to primary tumors associated with chronic HBV (and WHV) infection. It will be necessary to investigate HCCs associated with other risk factors to determine whether miRNA expression patterns observed in the present HCCs are unique to HBV (and WHV) tumors, or if they can be extended to include all HCCs, regardless of etiology. Our initial analysis of cirrhotic livers suggests that upregulation of miR-17–92 and miR-21 occurs in precancerous stages of liver disease. Further work will be necessary to confirm a role for these miRNAs in the acquisition of malignant traits by normal liver cells. Understanding the mediators of tumor initiation and progression opens opportunities for new therapeutic strategies. Bioinformatic studies suggest that each miRNA has a spectrum of mRNA targets that span a wide range of cellular functions.38 This study illustrated a role for these miRNA in cellular functions, such as proliferation and apoptosis. However, further work is warranted to evaluate the mRNA targets of the miR-17–92 polycistron and miR-21. Target evaluation in the pathways examined by this study may aid in the development of therapeutic strategies targeting the miR-17–92 or miR-21 polycistron in vivo. The impact of such opportunities is strengthened by the striking observation that overexpression of these miRNAs occurs in 100% of the HCCs tested. To our knowledge, such a high frequency of activation has never been reported for a specific genetic element that participates in HCC or any other cancer type. Acknowledgments We thank Patrick Bilder for his critical reading and modifications of the manuscript. Footnotes Address reprint requests to Charles E. Rogler, The Marion Bessin Liver Research Center, Department of Medicine, Albert Einstein College of Medicine, Bronx, New York 10461. E-mail: crogler/at/aecom.yu.edu. Supported by grants from NIH to CER (NCI/CA37232), LER (DK061153), BLS (NCI/CA95388), BCT (NO1-A105399), and Liver Pathobiology and Gene Therapy Research Core Center, (5P30DK41296) and Albert Einstein Biotechnology Center (5U24DK058768) and Albert Einstein Comprehensive Cancer Center (5P30CA13330) and American Liver Foundation liver scholar award to Margherita Melegari and the German Cancer Foundation grant to Pablo Landgraf. Thomas Tuschl is supported by the Howard Hughes Medical Institute. Supplemental material for this article can be found on http://ajp.amjpathol.org. Present address of M.M.: Department of Internal Medicine, Division of Digestive and Liver Diseases, UT Southwestern Medical Center at Dallas, Dallas TX. Present address of P.L.: Clinic for Pediatric Oncology, Hematology and Clinical Immunology, University of Duesseldorf, Duesseldorf, Germany. References
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APMIS. 2007 Oct; 115(10):1039-59.
[APMIS. 2007]Expert Opin Biol Ther. 2007 Sep; 7(9):1375-86.
[Expert Opin Biol Ther. 2007]World J Gastroenterol. 2007 Jan 28; 13(4):497-502.
[World J Gastroenterol. 2007]Nat Rev Cancer. 2006 Apr; 6(4):259-69.
[Nat Rev Cancer. 2006]Yale J Biol Med. 2006 Dec; 79(3-4):131-40.
[Yale J Biol Med. 2006]Cell. 2005 Jul 15; 122(1):6-7.
[Cell. 2005]J Gastroenterol Hepatol. 2006 Jan; 21(1 Pt 1):15-21.
[J Gastroenterol Hepatol. 2006]Korean J Intern Med. 2007 Jun; 22(2):73-6.
[Korean J Intern Med. 2007]Gastroenterology. 2004 Nov; 127(5 Suppl 1):S35-50.
[Gastroenterology. 2004]Gastroenterology. 2004 Nov; 127(5 Suppl 1):S72-8.
[Gastroenterology. 2004]Cell. 2007 Jun 29; 129(7):1401-14.
[Cell. 2007]Oncogene. 2007 Apr 26; 26(19):2799-803.
[Oncogene. 2007]Cancer Res. 2005 Nov 1; 65(21):9628-32.
[Cancer Res. 2005]Proc Natl Acad Sci U S A. 1987 Feb; 84(3):866-70.
[Proc Natl Acad Sci U S A. 1987]Gut. 2005 Aug; 54(8):1162-8.
[Gut. 2005]Oncogene. 1994 Mar; 9(3):727-37.
[Oncogene. 1994]Semin Cancer Biol. 1992 Oct; 3(5):309-20.
[Semin Cancer Biol. 1992]J Virol. 1998 Jul; 72(7):6175-80.
[J Virol. 1998]Cancer Res. 1991 Jan 1; 51(1):49-54.
[Cancer Res. 1991]Tumori. 2005 May-Jun; 91(3):241-7.
[Tumori. 2005]Proc Natl Acad Sci U S A. 1987 Feb; 84(3):866-70.
[Proc Natl Acad Sci U S A. 1987]Cell. 2007 Jun 29; 129(7):1401-14.
[Cell. 2007]J Virol. 1992 Sep; 66(9):5265-76.
[J Virol. 1992]Cell Death Differ. 2007 Apr; 14(4):879-82.
[Cell Death Differ. 2007]Cancer Res. 1991 Jan 1; 51(1):49-54.
[Cancer Res. 1991]Cell. 2007 Jun 29; 129(7):1401-14.
[Cell. 2007]Cancer Res. 2005 Nov 1; 65(21):9628-32.
[Cancer Res. 2005]Gastroenterology. 2007 Aug; 133(2):647-58.
[Gastroenterology. 2007]Cancer Res. 1991 Jan 1; 51(1):49-54.
[Cancer Res. 1991]J Cell Biochem. 2006 Oct 15; 99(3):671-8.
[J Cell Biochem. 2006]Leuk Lymphoma. 2007 Feb; 48(2):410-2.
[Leuk Lymphoma. 2007]Brain Res. 2007 Feb 2; 1131(1):37-43.
[Brain Res. 2007]J Virol. 1996 Sep; 70(9):6260-8.
[J Virol. 1996]Oncogene. 2007 Apr 26; 26(19):2799-803.
[Oncogene. 2007]J Gastroenterol Hepatol. 2006 Jan; 21(1 Pt 1):15-21.
[J Gastroenterol Hepatol. 2006]J Biol Chem. 2007 Jan 26; 282(4):2135-43.
[J Biol Chem. 2007]Cell Death Differ. 2007 Apr; 14(4):879-82.
[Cell Death Differ. 2007]Curr Mol Med. 2006 Nov; 6(7):731-8.
[Curr Mol Med. 2006]Mol Cancer. 2007 Sep 25; 6():60.
[Mol Cancer. 2007]Nature. 2005 Jun 9; 435(7043):828-33.
[Nature. 2005]Leuk Lymphoma. 2007 Feb; 48(2):410-2.
[Leuk Lymphoma. 2007]J Biol Chem. 2007 Jan 26; 282(4):2135-43.
[J Biol Chem. 2007]Oncogene. 2007 Apr 26; 26(19):2799-803.
[Oncogene. 2007]J Surg Res. 2008 Jun 1; 147(1):23-33.
[J Surg Res. 2008]Blood. 2007 Aug 15; 110(4):1330-3.
[Blood. 2007]Mol Cell. 2007 Jul 6; 27(1):91-105.
[Mol Cell. 2007]