Skip to main content

Advertisement

Log in

The DNA methyltransferase inhibitor zebularine exerts antitumor effects and reveals BATF2 as a poor prognostic marker for childhood medulloblastoma

  • PRECLINICAL STUDIES
  • Published:
Investigational New Drugs Aims and scope Submit manuscript

An Erratum to this article was published on 29 November 2016

Summary

Medulloblastoma (MB) is the most common solid tumor among pediatric patients and corresponds to 20 % of all pediatric intracranial tumors in this age group. Its treatment currently involves significant side effects. Epigenetic changes such as DNA methylation may contribute to its development and progression. DNA methyltransferase (DNMT) inhibitors have shown promising anticancer effects. The agent Zebularine acts as an inhibitor of DNA methylation and shows low toxicity and high efficacy, being a promising adjuvant agent for anti-cancer chemotherapy. Several studies have reported its effects on different types of tumors; however, there are no studies reporting its effects on MB. We analyzed its potential anticancer effects in four pediatric MB cell lines. The treatment inhibited proliferation and clonogenicity, increased the apoptosis rate and the number of cells in the S phase (p < 0.05), as well as the expression of p53, p21, and Bax, and decreased cyclin A, Survivin and Bcl-2 proteins. In addition, the combination of zebularine with the chemotherapeutic agents vincristine and cisplatin resulted in synergism and antagonism, respectively. Zebularine also modulated the activation of the SHH pathway, reducing SMO and GLI1 levels and one of its targets, PTCH1, without changing SUFU levels. A microarray analysis revealed different pathways modulated by the drug, including the Toll-Like Receptor pathway and high levels of the BATF2 gene. The low expression of this gene was associated with a worse prognosis in MB. Taken together, these data suggest that Zebularine may be a potential drug for further in vivo studies of MB treatment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Louis DN, Ohgaki H, Wiestler OD et al (2007) The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 114(2):97–109

    Article  PubMed  PubMed Central  Google Scholar 

  2. Batora NV, Sturm D, Jones DT, Kool M, Pfister SM, Northcott PA (2014) Transitioning from genotypes to epigenotypes: why the time has come for medulloblastoma epigenomics. Neuroscience 264:171–185

    Article  CAS  PubMed  Google Scholar 

  3. Jakacki RI, Burger PC, Zhou T et al (2012) Outcome of children with metastatic medulloblastoma treated with carboplatin during craniospinal radiotherapy: a Children's oncology group phase I/II study. J Clin Oncol 30(21):2648–2653

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Northcott PA, Korshunov A, Witt H et al (2011) Medulloblastoma comprises four distinct molecular variants. J Clin Oncol 29(11):1408–1414

    Article  PubMed  Google Scholar 

  5. Taylor MD, Northcott PA, Korshunov A et al (2012) Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol 123(4):465–472

    Article  CAS  PubMed  Google Scholar 

  6. Northcott PA, Jones DT, Kool M et al (2012) Medulloblastomics: the end of the beginning. Nat Rev Cancer 12(12):818–834

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Remke M, Ramaswamy V, Taylor MD (2013) Medulloblastoma molecular dissection: the way toward targeted therapy. Curr Opin Oncol 25(6):674–681

    Article  CAS  PubMed  Google Scholar 

  8. Hovestadt V, Jones DT, Picelli S et al (2014) Decoding the regulatory landscape of medulloblastoma using DNA methylation sequencing. Nature 510(7506):537–541

    Article  CAS  PubMed  Google Scholar 

  9. Schwalbe EC, Williamson D, Lindsey JC et al (2013) DNA methylation profiling of medulloblastoma allows robust subclassification and improved outcome prediction using formalin-fixed biopsies. Acta Neuropathol 125(3):359–371

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Dawson MA, Kouzarides T (2012) Cancer epigenetics: from mechanism to therapy. Cell 150(1):12–27

    Article  CAS  PubMed  Google Scholar 

  11. Ecke I, Petry F, Rosenberger A et al (2009) Antitumor effects of a combined 5-aza-2'deoxycytidine and valproic acid treatment on rhabdomyosarcoma and medulloblastoma in Ptch mutant mice. Cancer Res 69(3):887–895

    Article  CAS  PubMed  Google Scholar 

  12. Cheng JC, Yoo CB, Weisenberger DJ et al (2004) Preferential response of cancer cells to zebularine. Cancer Cell 6(2):151–158

    Article  CAS  PubMed  Google Scholar 

  13. Chen M, Shabashvili D, Nawab A et al (2012) DNA methyltransferase inhibitor, zebularine, delays tumor growth and induces apoptosis in a genetically engineered mouse model of breast cancer. Mol Cancer Ther 11(2):370–382

    Article  PubMed  Google Scholar 

  14. Meador JA, Su Y, Ravanat JL, Balajee AS (2010) DNA-dependent protein kinase (DNA-PK)-deficient human glioblastoma cells are preferentially sensitized by Zebularine. Carcinogenesis 31(2):184–191

    Article  CAS  PubMed  Google Scholar 

  15. Billam M, Sobolewski MD, Davidson NE (2010) Effects of a novel DNA methyltransferase inhibitor zebularine on human breast cancer cells. Breast Cancer Res Treat 120(3):581–592

    Article  CAS  PubMed  Google Scholar 

  16. Nakamura K, Aizawa K, Nakabayashi K et al (2013) DNA methyltransferase inhibitor zebularine inhibits human hepatic carcinoma cells proliferation and induces apoptosis. PLoS One 8(1), e54036

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Andrade AF, Borges KS, Castro-Gamero AM et al (2014) Zebularine induces chemosensitization to methotrexate and efficiently decreases AhR gene methylation in childhood acute lymphoblastic leukemia cells. Anti-Cancer Drugs 25(1):72–81

    Article  CAS  PubMed  Google Scholar 

  18. Ben-Kasus T, Ben-Zvi Z, Marquez VE, Kelley JA, Agbaria R (2005) Metabolic activation of zebularine, a novel DNA methylation inhibitor, in human bladder carcinoma cells. Biochem Pharmacol 70(1):121–133

    Article  CAS  PubMed  Google Scholar 

  19. Tan W, Zhou W, Yu HG, Luo HS, Shen L (2013) The DNA methyltransferase inhibitor zebularine induces mitochondria-mediated apoptosis in gastric cancer cells in vitro and in vivo. Biochem Biophys Res Commun 430(1):250–255

    Article  CAS  PubMed  Google Scholar 

  20. You BR, Park WH (2013) Zebularine-induced apoptosis in Calu-6 lung cancer cells is influenced by ROS and GSH level changes. Tumour Biol 34(2):1145–1153

    Article  CAS  PubMed  Google Scholar 

  21. Yang PM, Lin YT, Shun CT et al (2013) Zebularine inhibits tumorigenesis and stemness of colorectal cancer via p53-dependent endoplasmic reticulum stress. Sci Rep 3:3219

    PubMed  PubMed Central  Google Scholar 

  22. Cheng JC, Matsen CB, Gonzales FA et al (2003) Inhibition of DNA methylation and reactivation of silenced genes by zebularine. J Natl Cancer Inst 95(5):399–409

    Article  CAS  PubMed  Google Scholar 

  23. Liu H, Xue ZT, Sjögren HO, Salford LG, Widegren B (2007) Low dose Zebularine treatment enhances immunogenicity of tumor cells. Cancer Lett 257(1):107–115

    Article  CAS  PubMed  Google Scholar 

  24. Triscott J, Lee C, Foster C et al (2013) Personalizing the treatment of pediatric medulloblastoma: polo-like kinase 1 as a molecular target in high-risk children. Cancer Res 73(22):6734–6744

    Article  CAS  PubMed  Google Scholar 

  25. Borges KS, Moreno DA, Martinelli CE et al (2013) Spindle assembly checkpoint gene expression in childhood adrenocortical tumors (ACT): Overexpression of Aurora kinases A and B is associated with a poor prognosis. Pediatr Blood Cancer 60(11):1809–1816

    Article  PubMed  Google Scholar 

  26. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Methods 25(4):402–408

    Article  CAS  PubMed  Google Scholar 

  27. Chou TC (2006) Theoretical basis, experimental design, and computerized simulation of synergism and antagonism in drug combination studies. Pharmacol Rev 58(3):621–681

    Article  CAS  PubMed  Google Scholar 

  28. Franken NA, Rodermond HM, Stap J, Haveman J, van Bree C (2006) Clonogenic assay of cells in vitro. Nat Protoc 1(5):2315–2319

    Article  CAS  PubMed  Google Scholar 

  29. Lim SP, Neilsen P, Kumar R, Abell A, Callen DF (2011) The application of delivery systems for DNA methyltransferase inhibitors. BioDrugs 25(4):227–242

    Article  CAS  PubMed  Google Scholar 

  30. Vousden KH, Lu X (2002) Live or let die: the cell's response to p53. Nat Rev Cancer 2(8):594–604

    Article  CAS  PubMed  Google Scholar 

  31. Girard F, Strausfeld U, Fernandez A, Lamb NJ (1991) Cyclin A is required for the onset of DNA replication in mammalian fibroblasts. Cell 67(6):1169–1179

    Article  CAS  PubMed  Google Scholar 

  32. Kool M, Jones DT, Jäger N et al (2014) Genome sequencing of SHH medulloblastoma predicts genotype-related response to smoothened inhibition. Cancer Cell 25(3):393–405

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Yauch RL, Dijkgraaf GJ, Alicke B et al (2009) Smoothened mutation confers resistance to a hedgehog pathway inhibitor in medulloblastoma. Science 326(5952):572–574

    Article  CAS  PubMed  Google Scholar 

  34. Lin TL, Matsui W (2012) Hedgehog pathway as a drug target: smoothened inhibitors in development. Onco Targets Ther 5:47–58

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Kenney AM, Rowitch DH (2000) Sonic hedgehog promotes G(1) cyclin expression and sustained cell cycle progression in mammalian neuronal precursors. Mol Cell Biol 20(23):9055–9067

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Kenney AM, Cole MD, Rowitch DH (2003) Nmyc upregulation by sonic hedgehog signaling promotes proliferation in developing cerebellar granule neuron precursors. Development 130(1):15–28

    Article  CAS  PubMed  Google Scholar 

  37. You BR, Park WH (2012) Zebularine inhibits the growth of HeLa cervical cancer cells via cell cycle arrest and caspase-dependent apoptosis. Mol Biol Rep 39(10):9723–9731

    Article  CAS  PubMed  Google Scholar 

  38. Deng T, Zhang Y (2009) Possible involvement of activation of P53/P21 and demethylation of RUNX 3 in the cytotoxicity against lovo cells induced by 5-Aza-2'-deoxycytidine. Life Sci 84(9–10):311–320

    Article  CAS  PubMed  Google Scholar 

  39. Karpf AR, Moore BC, Ririe TO, Jones DA (2001) Activation of the p53 DNA damage response pathway after inhibition of DNA methyltransferase by 5-aza-2'-deoxycytidine. Mol Pharmacol 59(4):751–757

    CAS  PubMed  Google Scholar 

  40. Morgan DO (1995) Principles of CDK regulation. Nature 374(6518):131–134

    Article  CAS  PubMed  Google Scholar 

  41. Cory S, Adams JM (2002) The Bcl2 family: regulators of the cellular life-or-death switch. Nat Rev Cancer 2(9):647–656

    Article  CAS  PubMed  Google Scholar 

  42. Tsagarakis NJ, Drygiannakis I, Batistakis AG, Kolios G, Kouroumalis EA (2011) Octreotide induces caspase activation and apoptosis in human hepatoma HepG2 cells. World J Gastroenterol 17(3):313–321

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Wheatley SP, McNeish IA (2005) Survivin: a protein with dual roles in mitosis and apoptosis. Int Rev Cytol 247:35–88

    Article  CAS  PubMed  Google Scholar 

  44. Altieri DC (2008) New wirings in the survivin networks. Oncogene 27(48):6276–6284

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Fangusaro JR, Caldas H, Jiang Y, Altura RA (2006) Survivin: an inhibitor of apoptosis in pediatric cancer. Pediatr Blood Cancer 47(1):4–13

    Article  PubMed  Google Scholar 

  46. Pizem J, Cört A, Zadravec-Zaletel L, Popovic M (2005) Survivin is a negative prognostic marker in medulloblastoma. Neuropathol Appl Neurobiol 31(4):422–428

    Article  CAS  PubMed  Google Scholar 

  47. Brun SN, Markant SL, Esparza LA et al (2015) Survivin as a therapeutic target in sonic hedgehog-driven medulloblastoma. Oncogene 34(29):3770–3779

    Article  CAS  PubMed  Google Scholar 

  48. Shinwari Z, Manogaran PS, Alrokayan SA, Al-Hussein KA, Aboussekhra A (2008) Vincristine and lomustine induce apoptosis and p21(WAF1) up-regulation in medulloblastoma and normal human epithelial and fibroblast cells. J Neuro-Oncol 87(2):123–132

    Article  CAS  Google Scholar 

  49. Suzuki M, Shinohara F, Nishimura K, Echigo S, Rikiishi H (2007) Epigenetic regulation of chemosensitivity to 5-fluorouracil and cisplatin by zebularine in oral squamous cell carcinoma. Int J Oncol 31(6):1449–1456

    CAS  PubMed  Google Scholar 

  50. Berman DM, Karhadkar SS, Hallahan AR et al (2002) Medulloblastoma growth inhibition by hedgehog pathway blockade. Science 297(5586):1559–1561

    Article  CAS  PubMed  Google Scholar 

  51. Chari NS, McDonnell TJ (2007) The sonic hedgehog signaling network in development and neoplasia. Adv Anat Pathol 14(5):344–352

    Article  CAS  PubMed  Google Scholar 

  52. Singh RR, Cho-Vega JH, Davuluri Y et al (2009) Sonic hedgehog signaling pathway is activated in ALK-positive anaplastic large cell lymphoma. Cancer Res 69(6):2550–2558

    Article  CAS  PubMed  Google Scholar 

  53. Ingham PW, McMahon AP (2001) Hedgehog signaling in animal development: paradigms and principles. Genes Dev 15(23):3059–3087

    Article  CAS  PubMed  Google Scholar 

  54. Katoh Y, Katoh M (2009) Integrative genomic analyses on GLI1: positive regulation of GLI1 by Hedgehog-GLI, TGFbeta-Smads, and RTK-PI3K-AKT signals, and negative regulation of GLI1 by Notch-CSL-HES/HEY, and GPCR-Gs-PKA signals. Int J Oncol 35(1):187–192

    Article  CAS  PubMed  Google Scholar 

  55. Shahi MH, Afzal M, Sinha S et al (2010) Regulation of sonic hedgehog-GLI1 downstream target genes PTCH1, Cyclin D2, Plakoglobin, PAX6 and NKX2.2 and their epigenetic status in medulloblastoma and astrocytoma. BMC Cancer 10:614

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Ma H, Liang X, Chen Y et al (2011) Decreased expression of BATF2 is associated with a poor prognosis in hepatocellular carcinoma. Int J Cancer 128(4):771–777

    Article  CAS  PubMed  Google Scholar 

  57. Su ZZ, Lee SG, Emdad L et al (2008) Cloning and characterization of SARI (suppressor of AP-1, regulated by IFN). Proc Natl Acad Sci U S A 105(52):20906–20911

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Liu Z, Wei P, Yang Y et al (2015) BATF2 deficiency promotes progression in human colorectal cancer via activation of HGF/MET signaling: a potential rationale for combining MET inhibitors with IFNs. Clin Cancer Res 21(7):1752–1763

    Article  CAS  PubMed  Google Scholar 

  59. Roulois D, Loo Yau H, Singhania R et al (2015) DNA-demethylating agents target colorectal cancer cells by inducing viral mimicry by endogenous transcripts. Cell 162(5):961–973

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Chiappinelli KB, Strissel PL, Desrichard A et al (2015) Inhibiting DNA methylation causes an interferon response in cancer via dsRNA including endogenous retroviruses. Cell 162(5):974–986

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

We would like to thank Patrícia Vianna Bonini Palma, Camila Cristina de Oliveira Menezes Bonaldo, Daiane Fernanda dos Santos, Blood Center - USP, and Prof. Dr. Elza Tiemi Sakamoto Hojo, Departament of Genetics, Ribeirão Preto, Brazil, for their assistance with flow cytometry.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Augusto Faria Andrade.

Ethics declarations

Conflict of interest

Author Augusto Faria Andrade declares that he has no conflict of interest. Author Kleiton Silva Borges declares that he has no conflict of interest. Author Veridiana Kiill Suazo declares that she has no conflict of interest. Author Lenisa Geron declares that she has no conflict of interest. Author Carolina Alves Pereira Corrêa declares that she has no conflict of interest. Author Angel Mauricio Castro-Gamero declares that he has no conflict of interest. Elton José Rosas de Vasconcelos declares that he has no conflict of interest. Author Ricardo Santos de Oliveira declares that he has no conflict of interest. Author Luciano Neder declares that he has no conflict of interest. Author José Andres Yunes declares that he has no conflict of interest. Author Simone dos Santos Aguiar declares that she has no conflict of interest. Author Carlos Alberto Scrideli declares that he has no conflict of interest. Author Luiz Gonzaga Tone declares that he has no conflict of interest.

Funding

This work was supported by grants from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, grant number 2011/22440-7), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, grant number 478974/2013-2). Fundação de Apoio ao Ensino, Pesquisa e Assistência (FAEPA) do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo is also acknowledged.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all participants included in the study.

Additional information

The original version of this article was revised: Due to a formatting error, the name of one of the authors, Simone dos Santos Aguiar, appeared as Simone Santos dos Aguiar.

An erratum to this article is available at http://dx.doi.org/10.1007/s10637-016-0412-1.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Figure 1

Exposure of MB cells, DAOY and ONS-76, to CIS (A) and VCR (B) after 72 h incubation, measured by the XTT assay. C) Values that represent 50% of inhibition (IC50) were used in the combination assays. D) Different doses of zebularine, VCR and CIS used in combination assays. The drugs were added in simultaneous exposure for 72 h. (JPG 38 kb)

High resolution image (TIFF 1496 kb)

Supplementary Figure 2

BATF2 expression in MB cell lines ONS-76, UW402 and UW473 after treatment with Zebularine. BATF2 gene expression levels were analyzed by qRT-PCR after treatment with different doses of Zebularine (0–200 μM) and 72 h of incubation. The charts show the relative expression compared to control. (JPG 22 kb)

High resolution image (TIFF 1431 kb)

Supplementary Figure 3

BATF2 expression with the clinical status of MB patients. A) The level of expression of BATF2 was measured by qRT-PCR in MB samples (patients). BATF2 levels were also measured in non-neoplastic cerebellums (NC) and MB cell lines (MB lines). B) and C) Mann–Whitney analysis demonstrated that low BATF2 levels were more commonly detected in high risk patients (p=0.016) and that low BATF2 expression was correlated with MB relapse (p=0.042). (JPG 29 kb)

High resolution image (TIFF 1496 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Andrade, A.F., Borges, K.S., Suazo, V.K. et al. The DNA methyltransferase inhibitor zebularine exerts antitumor effects and reveals BATF2 as a poor prognostic marker for childhood medulloblastoma. Invest New Drugs 35, 26–36 (2017). https://doi.org/10.1007/s10637-016-0401-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10637-016-0401-4

Keywords

Navigation