Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Chronic lymphocytic leukemia

p53-dependent non-coding RNA networks in chronic lymphocytic leukemia

Abstract

Mutations of the tumor suppressor p53 lead to chemotherapy resistance and a dismal prognosis in chronic lymphocytic leukemia (CLL). Whereas p53 targets are used to identify patient subgroups with impaired p53 function, a comprehensive assessment of non-coding RNA targets of p53 in CLL is missing. We exploited the impaired transcriptional activity of mutant p53 to map out p53 targets in CLL by small RNA sequencing. We describe the landscape of p53-dependent microRNA/non-coding RNA induced in response to DNA damage in CLL. Besides the key p53 target miR-34a, we identify a set of p53-dependent microRNAs (miRNAs; miR-182-5p, miR-7-5p and miR-320c/d). In addition to miRNAs, the long non-coding RNAs (lncRNAs) nuclear enriched abundant transcript 1 (NEAT1) and long intergenic non-coding RNA p21 (lincRNA-p21) are induced in response to DNA damage in the presence of functional p53 but not in CLL with p53 mutation. Induction of NEAT1 and lincRNA-p21 are closely correlated to the induction of cell death after DNA damage. We used isogenic lymphoma cell line models to prove p53 dependence of NEAT1 and lincRNA-p21. The current work describes the p53-dependent miRNome and identifies lncRNAs NEAT1 and lincRNA-p21 as novel elements of the p53-dependent DNA damage response machinery in CLL and lymphoma.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5

Similar content being viewed by others

Accession codes

Accessions

Gene Expression Omnibus

References

  1. Vogelstein B, Lane D, Levine AJ . Surfing the p53 network. Nature 2000; 408: 307–310.

    Article  CAS  Google Scholar 

  2. Riley T, Sontag E, Chen P, Levine A . Transcriptional control of human p53-regulated genes. Nat Rev Mol Cell Biol 2008; 9: 402–412.

    Article  CAS  Google Scholar 

  3. Wade M, Li YC, Wahl GM . MDM2, MDMX and p53 in oncogenesis and cancer therapy. Nat Rev Cancer 2013; 13: 83–96.

    Article  CAS  Google Scholar 

  4. Te Raa GD, Malcikova J, Mraz M, Trbusek M, Le Garff-Tavernier M, Merle-Beral H et al. Assessment of TP53 functionality in chronic lymphocytic leukaemia by different assays; an ERIC-wide approach. Br J Haematol 2014; 167: 565–569.

    Article  Google Scholar 

  5. te Raa GD, Malcikova J, Pospisilova S, Trbusek M, Mraz M, Garff-Tavernier ML et al. Overview of available p53 function tests in relation to TP53 and ATM gene alterations and chemoresistance in chronic lymphocytic leukemia. Leuk Lymphoma 2013; 54: 1849–1853.

    Article  CAS  Google Scholar 

  6. Zenz T, Mertens D, Kuppers R, Dohner H, Stilgenbauer S . From pathogenesis to treatment of chronic lymphocytic leukaemia. Nat Rev Cancer 2010; 10: 37–50.

    Article  CAS  Google Scholar 

  7. Malcikova J, Smardova J, Rocnova L, Tichy B, Kuglik P, Vranova V et al. Monoallelic and biallelic inactivation of TP53 gene in chronic lymphocytic leukemia: selection, impact on survival, and response to DNA damage. Blood 2009; 114: 5307–5314.

    Article  CAS  Google Scholar 

  8. Zenz T, Krober A, Scherer K, Habe S, Buhler A, Benner A et al. Monoallelic TP53 inactivation is associated with poor prognosis in chronic lymphocytic leukemia: results from a detailed genetic characterization with long-term follow-up. Blood 2008; 112: 3322–3329.

    Article  CAS  Google Scholar 

  9. Rossi D, Cerri M, Deambrogi C, Sozzi E, Cresta S, Rasi S et al. The prognostic value of TP53 mutations in chronic lymphocytic leukemia is independent of Del17p13: implications for overall survival and chemorefractoriness. Clin Cancer Res 2009; 15: 995–1004.

    Article  CAS  Google Scholar 

  10. Friedman RC, Farh KK, Burge CB, Bartel DP . Most mammalian mRNAs are conserved targets of microRNAs. Genome Res 2009; 19: 92–105.

    Article  CAS  Google Scholar 

  11. Tarasov V, Jung P, Verdoodt B, Lodygin D, Epanchintsev A, Menssen A et al. Differential regulation of microRNAs by p53 revealed by massively parallel sequencing. Cell Cycle 2007; 6: 1586–1593.

    Article  CAS  Google Scholar 

  12. Chang TC, Wentzel EA, Kent OA, Ramachandran K, Mullendore M, Lee KH et al. Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis. Mol Cell 2007; 26: 745–752.

    Article  CAS  Google Scholar 

  13. Raver-Shapira N, Marciano E, Meiri E, Spector Y, Rosenfeld N, Moskovits N et al. Transcriptional activation of miR-34a contributes to p53-mediated apoptosis. Mol Cell 2007; 26: 731–743.

    Article  CAS  Google Scholar 

  14. He L, He X, Lim LP, de Stanchina E, Xuan Z, Liang Y et al. A microRNA component of the p53 tumour suppressor network. Nature 2007; 447: 1130–1134.

    Article  CAS  Google Scholar 

  15. Sun F, Fu H, Liu Q, Tie Y, Zhu J, Xing R et al. Downregulation of CCND1 and CDK6 by miR-34a induces cell cycle arrest. FEBS Lett 2008; 582: 1564–1568.

    Article  CAS  Google Scholar 

  16. Tazawa H, Tsuchiya N, Izumiya M, Nakagama H . Tumor-suppressive miR-34a induces senescence-like growth arrest through modulation of the E2F pathway in human colon cancer cells. Proc Natl Acad Sci USA 2007; 104: 15472–15477.

    Article  CAS  Google Scholar 

  17. Bommer GT, Gerin I, Feng Y, Kaczorowski AJ, Kuick R, Love RE et al. p53-mediated activation of miRNA34 candidate tumor-suppressor genes. Curr Biol 2007; 17: 1298–1307.

    Article  CAS  Google Scholar 

  18. Zenz T, Mohr J, Eldering E, Kater AP, Buhler A, Kienle D et al. miR-34a as part of the resistance network in chronic lymphocytic leukemia. Blood 2009; 113: 3801–3808.

    Article  CAS  Google Scholar 

  19. Mraz M, Malinova K, Kotaskova J, Pavlova S, Tichy B, Malcikova J et al. miR-34a, miR-29c and miR-17-5p are downregulated in CLL patients with TP53 abnormalities. Leukemia 2009; 23: 1159–1163.

    Article  CAS  Google Scholar 

  20. Dufour A, Palermo G, Zellmeier E, Mellert G, Duchateau-Nguyen G, Schneider S et al. Inactivation of TP53 correlates with disease progression and low miR-34a expression in previously treated chronic lymphocytic leukemia patients. Blood 2013; 121: 3650–3657.

    Article  CAS  Google Scholar 

  21. Visone R, Rassenti LZ, Veronese A, Taccioli C, Costinean S, Aguda BD et al. Karyotype-specific microRNAsignature in chronic lymphocytic leukemia. Blood 2009; 114: 3872–3879.

    Article  CAS  Google Scholar 

  22. Fabbri M, Bottoni A, Shimizu M, Spizzo R, Nicoloso MS, Rossi S et al. Association of a microRNA/TP53 feedback circuitry with pathogenesis and outcome of B-cell chronic lymphocytic leukemia. JAMA 2011; 305: 59–67.

    Article  CAS  Google Scholar 

  23. Guttman M, Amit I, Garber M, French C, Lin MF, Feldser D et al. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature 2009; 458: 223–227.

    Article  CAS  Google Scholar 

  24. Kung JT, Colognori D, Lee JT . Long noncoding RNAs: past, present, and future. Genetics 2013; 193: 651–669.

    Article  CAS  Google Scholar 

  25. Gutschner T, Diederichs S . The hallmarks of cancer: a long non-coding RNA point of view. RNA Biol 2012; 9: 703–719.

    Article  CAS  Google Scholar 

  26. Huarte M, Guttman M, Feldser D, Garber M, Koziol MJ, Kenzelmann-Broz D et al. A large intergenic noncoding RNA induced by p53 mediates global gene repression in the p53 response. Cell 2010; 142: 409–419.

    Article  CAS  Google Scholar 

  27. Hung T, Wang Y, Lin MF, Koegel AK, Kotake Y, Grant GD et al. Extensive and coordinated transcription of noncoding RNAs within cell-cycle promoters. Nat Genet 2011; 43: 621–629.

    Article  CAS  Google Scholar 

  28. Sanchez Y, Segura V, Marin-Bejar O, Athie A, Marchese FP, Gonzalez J et al. Genome-wide analysis of the human p53 transcriptional network unveils a lncRNA tumour suppressor signature. Nat Commun 2014; 5: 5812.

    Article  CAS  Google Scholar 

  29. Hullein J, Jethwa A, Stolz T, Blume C, Sellner L, Sill M et al. Next-generation sequencing of cancer consensus genes in lymphoma. Leuk Lymphoma 2013; 54: 1831–1835.

    Article  Google Scholar 

  30. Castro F, Dirks WG, Fahnrich S, Hotz-Wagenblatt A, Pawlita M, Schmitt M . High-throughput SNP-based authentication of human cell lines. Int J Cancer 2013; 132: 308–314.

    Article  CAS  Google Scholar 

  31. Shalem O, Sanjana NE, Hartenian E, Shi X, Scott DA, Mikkelsen TS et al. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 2014; 343: 84–87.

    Article  CAS  Google Scholar 

  32. Jethwa A, Hullein J, Stolz T, Blume C, Sellner L, Jauch A et al. Targeted resequencing for analysis of clonal composition of recurrent gene mutations in chronic lymphocytic leukaemia. Br J Haematol 2013; 163: 496–500.

    Article  CAS  Google Scholar 

  33. Rosenkranz D, Zischler H . proTRAC—a software for probabilistic piRNA cluster detection, visualization and analysis. BMC Bioinformatics 2012; 13: 5.

    Article  Google Scholar 

  34. Ernst P, Glatting KH, Suhai S . A task framework for the web interface W2H. Bioinformatics 2003; 19: 278–282.

    Article  CAS  Google Scholar 

  35. Anders S, Huber W . Differential expression analysis for sequence count data. Genome Biol 2010; 11: R106.

    Article  CAS  Google Scholar 

  36. McCarthy DJ, Chen Y, Smyth GK . Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. Nucleic Acids Res 2012; 40: 4288–4297.

    Article  CAS  Google Scholar 

  37. Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, Petrocca F et al. A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA 2006; 103: 2257–2261.

    Article  CAS  Google Scholar 

  38. Jima DD, Zhang J, Jacobs C, Richards KL, Dunphy CH, Choi WW et al. Deep sequencing of the small RNA transcriptome of normal and malignant human B cells identifies hundreds of novel microRNAs. Blood 2010; 116: e118–e127.

    Article  CAS  Google Scholar 

  39. Mraz M, Chen L, Rassenti LZ, Ghia EM, Li H, Jepsen K et al. MicroRNA-150 contributes to the proficiency of B-cell receptor signaling in chronic lymphocytic leukemia by regulating expression of GAB1 and FOXP1 genes. Blood 2014; 124: 84–95.

    Article  CAS  Google Scholar 

  40. Landgraf P, Rusu M, Sheridan R, Sewer A, Iovino N, Aravin A et al. A mammalian microRNA expression atlas based on small RNA library sequencing. Cell 2007; 129: 1401–1414.

    Article  CAS  Google Scholar 

  41. Yoon JH, Abdelmohsen K, Srikantan S, Yang X, Martindale JL, De S et al. LincRNA-p21 suppresses target mRNA translation. Mol Cell 2012; 47: 648–655.

    Article  CAS  Google Scholar 

  42. Clemson CM, Hutchinson JN, Sara SA, Ensminger AW, Fox AH, Chess A et al. An architectural role for a nuclear noncoding RNA: NEAT1 RNA is essential for the structure of paraspeckles. Mol Cell 2009; 33: 717–726.

    Article  CAS  Google Scholar 

  43. Zenz T, Habe S, Denzel T, Mohr J, Winkler D, Buhler A et al. Detailed analysis of p53 pathway defects in fludarabine-refractory chronic lymphocytic leukemia (CLL): dissecting the contribution of 17p deletion, TP53 mutation, p53-p21 dysfunction, and miR34a in a prospective clinical trial. Blood 2009; 114: 2589–2597.

    Article  CAS  Google Scholar 

  44. Rossi S, Shimizu M, Barbarotto E, Nicoloso MS, Dimitri F, Sampath D et al. microRNA fingerprinting of CLL patients with chromosome 17p deletion identify a miR-21 score that stratifies early survival. Blood 2010; 116: 945–952.

    Article  CAS  Google Scholar 

  45. Calin GA, Ferracin M, Cimmino A, Di Leva G, Shimizu M, Wojcik SE et al. A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. N Engl J Med 2005; 353: 1793–1801.

    Article  CAS  Google Scholar 

  46. Xu X, Wu J, Li S, Hu Z, Xu X, Zhu Y et al. Downregulation of microRNA-182-5p contributes to renal cell carcinoma proliferation via activating the AKT/FOXO3a signaling pathway. Mol Cancer 2014; 13: 109.

    Article  Google Scholar 

  47. Botcheva K, McCorkle SR, McCombie WR, Dunn JJ, Anderson CW . Distinct p53 genomic binding patterns in normal and cancer-derived human cells. Cell Cycle 2011; 10: 4237–4249.

    Article  CAS  Google Scholar 

  48. Zhang N, Li X, Wu CW, Dong Y, Cai M, Mok MT et al. microRNA-7 is a novel inhibitor of YY1 contributing to colorectal tumorigenesis. Oncogene 2013; 32: 5078–5088.

    Article  CAS  Google Scholar 

  49. Wahlestedt C . Targeting long non-coding RNA to therapeutically upregulate gene expression. Nat Rev Drug Discov 2013; 12: 433–446.

    Article  CAS  Google Scholar 

  50. Schlereth K, Heyl C, Krampitz AM, Mernberger M, Finkernagel F, Scharfe M et al. Characterization of the p53 cistrome—DNA binding cooperativity dissects p53's tumor suppressor functions. PLoS Genet 2013; 9: e1003726.

    Article  CAS  Google Scholar 

  51. Allen MA, Andrysik Z, Dengler VL, Mellert HS, Guarnieri A, Freeman JA et al. Global analysis of p53-regulated transcription identifies its direct targets and unexpected regulatory mechanisms. eLife 2014; 3: e02200.

    Article  Google Scholar 

  52. Wei CL, Wu Q, Vega VB, Chiu KP, Ng P, Zhang T et al. A global map of p53 transcription-factor binding sites in the human genome. Cell 2006; 124: 207–219.

    Article  CAS  Google Scholar 

  53. Wang B, Niu D, Lam TH, Xiao Z, Ren EC . Mapping the p53 transcriptome universe using p53 natural polymorphs. Cell Death Differ 2014; 21: 521–532.

    Article  CAS  Google Scholar 

  54. Naganuma T, Nakagawa S, Tanigawa A, Sasaki YF, Goshima N, Hirose T . Alternative 3'-end processing of long noncoding RNA initiates construction of nuclear paraspeckles. EMBO J 2012; 31: 4020–4034.

    Article  CAS  Google Scholar 

  55. Fox AH, Lamond AI . Paraspeckles. Cold Spring Harb Perspect Biol 2010; 2: a000687.

    PubMed  PubMed Central  Google Scholar 

  56. Salton M, Lerenthal Y, Wang SY, Chen DJ, Shiloh Y . Involvement of Matrin 3 and SFPQ/NONO in the DNA damage response. Cell Cycle 2010; 9: 1568–1576.

    Article  CAS  Google Scholar 

  57. Rajesh C, Baker DK, Pierce AJ, Pittman DL . The splicing-factor related protein SFPQ/PSF interacts with RAD51D and is necessary for homology-directed repair and sister chromatid cohesion. Nucleic Acids Res 2011; 39: 132–145.

    Article  CAS  Google Scholar 

  58. Mastrocola AS, Kim SH, Trinh AT, Rodenkirch LA, Tibbetts RS . The RNA-binding protein fused in sarcoma (FUS) functions downstream of poly(ADP-ribose) polymerase (PARP) in response to DNA damage. J Biol Chem 2013; 288: 24731–24741.

    Article  CAS  Google Scholar 

  59. Yuan M, Eberhart CG, Kai M . RNA binding protein RBM14 promotes radio-resistance in glioblastoma by regulating DNA repair and cell differentiation. Oncotarget 2014; 5: 2820–2826.

    Article  Google Scholar 

  60. Chakravarty D, Sboner A, Nair SS, Giannopoulou E, Li R, Hennig S et al. The oestrogen receptor alpha-regulated lncRNA NEAT1 is a critical modulator of prostate cancer. Nat Commun 2014; 5: 5383.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This study was supported by research grants of the German Cancer Aid, GIF and the MDACC DKFZ SINF program. We thank the European Research Initiative on CLL (ERIC) for providing patient samples, HJ Delecluse and M Rogers for providing cell lines and the DKFZ Genomics and Proteomics facility for sequencing services.

Author Contributions

CJB designed and performed research, analyzed data and wrote the paper; TH and AH-W analyzed data; JH and AJ designed and performed research and analyzed data; TS, KL and SCA performed research; CCO provided IGHV mutation data; AJ provided FISH data; LS, MS, AB, AH, SD, PD, MO and OM contributed to data interpretation; DR, SD, LS, PD, TZ and AK provided patient samples; TZ designed research, interpreted data and wrote the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T Zenz.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Supplementary Information accompanies this paper on the Leukemia website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Blume, C., Hotz-Wagenblatt, A., Hüllein, J. et al. p53-dependent non-coding RNA networks in chronic lymphocytic leukemia. Leukemia 29, 2015–2023 (2015). https://doi.org/10.1038/leu.2015.119

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/leu.2015.119

This article is cited by

Search

Quick links