Skip to main content

The Use of Cytogenetic Microarrays in Myelodysplastic Syndrome Characterization

  • Protocol
  • First Online:
Array Comparative Genomic Hybridization

Part of the book series: Methods in Molecular Biology ((MIMB,volume 973))

Abstract

Various microarray platforms, including BAC, oligonucleotide, and SNP arrays, have been shown to ­provide clinically useful diagnostic and prognostic information for patients with myelodysplastic syndromes (MDS). Clinically useful arrays are designed with specific purposes in mind and with attention to genomic content and probe density. All array types have been shown to detect genomic copy gains and losses, with SNP arrays having the added advantage of detecting copy neutral loss of heterozygosity (CNLOH). The finding of CNLOH has led to the identification of certain disease genes implicated in the initiation or progression of myeloid diseases. In addition, SNP karyotyping alone, or in conjunction with routine cytogenetics, can affect the outcome prediction and improve prognostic stratification of patients with MDS. Patients who were reclassified after array testing as having adverse-risk chromosomal findings correlated with poor survival. Results of over 25 published studies support the use of arrays in MDS testing. Because few balanced translocations are found in MDS, this disease is particularly amenable to microarray testing, and studies have shown better disease classification, identification of cryptic changes, and prognostication in this heterogeneous group of disorders. Novel genomic alterations identified by array testing may lead to better targeted therapies for treating patients with MDS.

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

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ma X, Does M, Raza A et al (2007) Myelodysplastic syndromes: incidence and survival in the United States. Cancer 109(8):1536–1542. doi:10.1002/cncr.22570

    Article  PubMed  Google Scholar 

  2. Greenberg P, Cox C, Lebeau MM et al (1997) International scoring system for evaluating prognosis in myelodysplastic syndromes. Blood 89(6):2079–2088

    PubMed  CAS  Google Scholar 

  3. Bernasconi P, Cavigliano PM, Boni M et al (2003) Is fish a relevant prognostic tool in myelodysplastic syndromes with a normal chromosome pattern on conventional cytogenetics? A study on 57 patients. Leukemia 17(11):2107–2112. doi:10.1038/sj.leu.2403108 2403108 [pii]

    Article  PubMed  CAS  Google Scholar 

  4. Rigolin GM, Bigoni R, Milani R et al (2001) Clinical importance of interphase cytogenetics detecting occult chromosome lesions in myelodysplastic syndromes with normal karyotype. Leukemia 15(12):1841–1847

    Article  PubMed  CAS  Google Scholar 

  5. List A, Dewald G, Bennett J et al (2006) Lenalidomide in the myelodysplastic syndrome with chromosome 5q deletion. N Engl J Med 355(14):1456–1465. doi:355/14/1456 [pii] 10.1056/NEJMoa061292

    Article  PubMed  CAS  Google Scholar 

  6. Giagounidis AA, Germing U, Strupp C et al (2005) Prognosis of patients with del(5q) mds and complex karyotype and the possible role of lenalidomide in this patient subgroup. Ann Hematol 84(9):569–571. doi:10.1007/s00277-005-1054-0

    Article  PubMed  CAS  Google Scholar 

  7. Lubbert M, Wijermans P, Kunzmann R et al (2001) Cytogenetic responses in high-risk myelodysplastic syndrome following low-dose treatment with the DNA methylation inhibitor 5-aza-2′-deoxycytidine. Br J Haematol 114(2):349–357. doi:bjh2933 [pii]

    Article  PubMed  CAS  Google Scholar 

  8. Raj K, John A, Ho A et al (2007) Cdkn2b methylation status and isolated chromosome 7 abnormalities predict responses to treatment with 5-azacytidine. Leukemia 21(9):1937–1944. doi:2404796 [pii] 10.1038/sj.leu.2404796

    Article  PubMed  CAS  Google Scholar 

  9. Gondek LP, Tiu R, O’keefe CL et al (2008) Chromosomal lesions and uniparental disomy detected by snp arrays in mds, mds/mpd, and mds-derived aml. Blood 111(3):1534–1542. doi:blood-2007-05-092304 [pii] 10.1182/blood-2007-05-092304

    Article  PubMed  CAS  Google Scholar 

  10. Mohamedali A, Gaken J, Twine NA et al (2007) Prevalence and prognostic significance of allelic imbalance by single-nucleotide polymorphism analysis in low-risk myelodysplastic syndromes. Blood 110(9):3365–3373. doi:blood-2007-03-079673 [pii] 10.1182/blood-2007-03-079673

    Article  PubMed  CAS  Google Scholar 

  11. Paulsson K, Heidenblad M, Strombeck B et al (2006) High-resolution genome-wide array-based comparative genome hybridization reveals cryptic chromosome changes in aml and mds cases with trisomy 8 as the sole cytogenetic aberration. Leukemia 20(5):840–846. doi:2404145 [pii] 10.1038/sj.leu.2404145

    Article  PubMed  CAS  Google Scholar 

  12. Evers C, Beier M, Poelitz A et al (2007) Molecular definition of chromosome arm 5q deletion end points and detection of hidden aberrations in patients with myelodysplastic syndromes and isolated del(5q) using oligonucleotide array cgh. Genes Chromosomes Cancer 46(12):1119–1128. doi:10.1002/gcc.20498

    Article  PubMed  CAS  Google Scholar 

  13. Starczynowski DT, Vercauteren S, Telenius A et al (2008) High-resolution whole genome tiling path array cgh analysis of cd34+ cells from patients with low-risk myelodysplastic syndromes reveals cryptic copy number alterations and predicts overall and leukemia-free survival. Blood 112(8):3412–3424. doi:blood-2007-11-122028 [pii] 10.1182/blood-2007-11-122028

    Article  PubMed  CAS  Google Scholar 

  14. Kallioniemi A, Kallioniemi OP, Sudar D et al (1992) Comparative genomic hybridization for molecular cytogenetic analysis of solid tumors. Science 258(5083):818–821

    Article  PubMed  CAS  Google Scholar 

  15. Derisi J, Penland L, Brown PO et al (1996) Use of a cdna microarray to analyse gene expression patterns in human cancer. Nat Genet 14(4):457–460

    Article  PubMed  CAS  Google Scholar 

  16. Lucito R, Healy J, Alexander J et al (2003) Representational oligonucleotide microarray analysis: a high-resolution method to detect genome copy number variation. Genome Res 13(10):2291–2305

    Article  PubMed  CAS  Google Scholar 

  17. Pinkel D, Segraves R, Sudar D et al (1998) High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nat Genet 20(2):207–211

    Article  PubMed  CAS  Google Scholar 

  18. Schena M, Shalon D, Davis RW et al (1995) Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 270(5235):467–470

    Article  PubMed  CAS  Google Scholar 

  19. Solinas-Toldo S, Lampel S, Stilgenbauer S et al (1997) Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances. Genes Chromosomes Cancer 20(4):399–407

    Article  PubMed  CAS  Google Scholar 

  20. Kralovics R, Teo SS, Buser AS et al (2005) Altered gene expression in myeloproliferative disorders correlates with activation of signaling by the v617f mutation of jak2. Blood 106(10):3374–3376. doi:2005-05-1889 [pii] 10.1182/blood-2005-05-1889

    Article  PubMed  CAS  Google Scholar 

  21. O’keefe CL, Tiu R, Gondek LP et al (2007) High-resolution genomic arrays facilitate detection of novel cryptic chromosomal lesions in myelodysplastic syndromes. Exp Hematol 35(2):240–251. doi:S0301-472X(06)00637-0 [pii] 10.1016/j.exphem.2006.09.016

    Article  PubMed  Google Scholar 

  22. Akagi T, Ogawa S, Dugas M et al (2009) Frequent genomic abnormalities in acute myeloid leukemia/myelodysplastic syndrome with normal karyotype. Haematologica 94(2):213–223. doi:haematol.13024 [pii] 10.3324/haematol.13024

    Article  PubMed  CAS  Google Scholar 

  23. Kim JE, Woo KS, Kim KE et al (2010) Duplications of the long arm of both chromosome 1, dup(1)(q21q32), leading to tetrasomy 1q in myelodysplastic syndrome. Leuk Res 34(8):e210–212. doi:S0145-2126(10)00111-6 [pii] 10.1016/j.leukres.2010.02.028

    Article  PubMed  Google Scholar 

  24. Tiu RV, Gondek LP, O’keefe CL et al (2011) Prognostic impact of snp array karyotyping in myelodysplastic syndromes and related myeloid malignancies. Blood 117(17):4552–4560. doi:blood-2010-07-295857 [pii] 10.1182/blood-2010-07-295857

    Article  PubMed  CAS  Google Scholar 

  25. Koken MH, Daniel MT, Gianni M et al (1999) Retinoic acid, but not arsenic trioxide, degrades the plzf/raralpha fusion protein, without inducing terminal differentiation or apoptosis, in a ra-therapy resistant t(11;17)(q23;q21) apl patient. Oncogene 18(4):1113–1118. doi:10.1038/sj.onc.1202414

    Article  PubMed  CAS  Google Scholar 

  26. Iafrate AJ, Feuk L, Rivera MN et al (2004) Detection of large-scale variation in the human genome. Nat Genet 36(9):949–951

    Article  PubMed  CAS  Google Scholar 

  27. Sebat J, Lakshmi B, Troge J et al (2004) ­Large-scale copy number polymorphism in the human genome. Science 305(5683):525–528

    Article  PubMed  CAS  Google Scholar 

  28. Sharp AJ (2009) Emerging themes and new challenges in defining the role of structural variation in human disease. Hum Mutat 30(2):135–144. doi:10.1002/humu.20843

    Article  PubMed  CAS  Google Scholar 

  29. Cooper GM, Coe BP, Girirajan S et al (2011) A copy number variation morbidity map of developmental delay. Nat Genet. doi:10.1038/ng.909

    Google Scholar 

  30. (2007) Database of genomic variants—a curated catalogue of structural variation in the human genome. The Centre for Applied Genomics. http://projects.tcag.ca/variation/. Accessed 31 Aug 2011

    Google Scholar 

  31. International hapmap project (2011) International HapMap Project. http://hapmap.ncbi.nlm.nih.gov/. Accessed 31 Aug 2011

    Google Scholar 

  32. Wellcome trust case control consortium (2009) Wellcome Trust. http://www.wtccc.org.uk/index.shtml. Accessed 31 Aug 2011

    Google Scholar 

  33. Hgdp-ceph human genome diversity cell line panel (2011) Human Polymorphism Study Center. http://www.cephb.fr/en/hgdp/diversity.php. Accessed 31 Aug 2011

    Google Scholar 

  34. Wholley D, Manolio T, Brooks L et al (2011) Genetic association information network (gain). National human Genome Research Institute. http://www.genome.gov/19518664. Accessed 31 Aug 2011

    Google Scholar 

  35. Illumina icontroldb. (2011) Illumina, Inc. http://www.illumina.com/science/icontroldb.ilmn. Accessed 31 Aug 2011

    Google Scholar 

  36. Heinrichs S, Li C, Look AT (2010) Snp array analysis in hematologic malignancies: avoiding false discoveries. Blood 115(21):4157–4161. doi:blood-2009-11-203182 [pii] 10.1182/blood-2009-11-203182

    Article  PubMed  CAS  Google Scholar 

  37. Praulich I, Tauscher M, Gohring G et al (2010) Clonal heterogeneity in childhood myelodysplastic syndromes-challenge for the detection of chromosomal imbalances by array-cgh. Genes Chromosomes Cancer 49(10):885–900. doi:10.1002/gcc.20797

    Article  PubMed  CAS  Google Scholar 

  38. Slovak ML, Smith DD, Bedell V et al (2010) Assessing karyotype precision by microarray-based comparative genomic hybridization in the myelodysplastic/myeloproliferative syndromes. Mol Cytogenet 3:23. doi:1755-8166-3-23 [pii] 10.1186/1755-8166-3-23

    Article  PubMed  Google Scholar 

  39. Borze I, Juvonen E, Ninomiya S et al (2010) High-resolution oligonucleotide array comparative genomic hybridization study and methylation status of the rps14 gene in de novo myelodysplastic syndromes. Cancer Genet Cytogenet 197(2):166–173. doi:S0165-4608(09)­00664-5 [pii] 10.1016/j.cancergen­cyto.2009.11.012

    Article  PubMed  CAS  Google Scholar 

  40. Thiel A, Beier M, Ingenhag D et al (2011) Comprehensive array cgh of normal karyotype myelodysplastic syndromes reveals hidden recurrent and individual genomic copy number alterations with prognostic relevance. Leukemia 25(3):387–399. doi:leu2010293 [pii] 10.1038/leu.2010.293

    Article  PubMed  CAS  Google Scholar 

  41. Bajaj R, Xu F, Xiang B et al (2011) Evidence-based genomic diagnosis characterized chromosomal and cryptic imbalances in 30 elderly patients with myelodysplastic syndrome and acute myeloid leukemia. Mol Cytogenet 4:3. doi:1755-8166-4-3 [pii] 10.1186/1755-8166-4-3

    Article  PubMed  Google Scholar 

  42. Huh J, Tiu RV, Gondek LP et al (2010) Characterization of chromosome arm 20q abnormalities in myeloid malignancies using genome-wide single nucleotide polymorphism array analysis. Genes Chromosomes Cancer 49(4):390–399. doi:10.1002/gcc.20748

    PubMed  CAS  Google Scholar 

  43. Afable MG 2nd, Wlodarski M, Makishima H et al (2011) Snp array-based karyotyping: differences and similarities between aplastic anemia and hypocellular myelodysplastic syndromes. Blood 117(25):6876–6884. doi:blood-2010-11-314393 [pii] 10.1182/blood-2010-11-314393

    Article  PubMed  CAS  Google Scholar 

  44. Gibson J, Morton NE, Collins A (2006) Extended tracts of homozygosity in outbred human populations. Hum Mol Genet 15(5):789–795. doi:ddi493 [pii] 10.1093/hmg/ddi493

    Article  PubMed  CAS  Google Scholar 

  45. Quentin S, Cuccuini W, Ceccaldi R et al (2011) Myelodysplasia and leukemia of fanconi anemia are associated with a specific pattern of genomic abnormalities that includes cryptic runx1/aml1 lesions. Blood 117(15):e161–170. doi:blood-2010-09-308726 [pii] 10.1182/blood-2010-09-308726

    Article  PubMed  CAS  Google Scholar 

  46. Wang L, Fidler C, Nadig N et al (2008) Genome-wide analysis of copy number changes and loss of heterozygosity in myelodysplastic syndrome with del(5q) using high-density single nucleotide polymorphism arrays. Haematologica 93(7):994–1000. doi:haematol.12603 [pii] 10.3324/haematol.12603

    Article  PubMed  Google Scholar 

  47. Heinrichs S, Kulkarni RV, Bueso-Ramos CE et al (2009) Accurate detection of uniparental disomy and microdeletions by snp array analysis in myelodysplastic syndromes with normal cytogenetics. Leukemia 23(9):1605–1613. doi:leu200982 [pii] 10.1038/leu.2009.82

    Article  PubMed  CAS  Google Scholar 

  48. Jankowska AM, Szpurka H, Tiu RV et al (2009) Loss of heterozygosity 4q24 and tet2 mutations associated with myelodysplastic/myeloproliferative neoplasms. Blood 113(25):6403–6410. doi:blood-2009-02-205690 [pii] 10.1182/blood-2009-02-205690

    Article  PubMed  CAS  Google Scholar 

  49. Flach J, Dicker F, Schnittger S et al (2011) An accumulation of cytogenetic and molecular genetic events characterizes the progression from mds to secondary aml: an analysis of 38 paired samples analyzed by cytogenetics, molecular mutation analysis and snp microarray profiling. Leukemia 25(4):713–718. doi:leu2010304 [pii] 10.1038/leu.2010.304

    Article  PubMed  CAS  Google Scholar 

  50. Makishima H, Rataul M, Gondek LP et al (2010) Fish and snp-a karyotyping in myelodysplastic syndromes: improving cytogenetic detection of del(5q), monosomy 7, del(7q), trisomy 8 and del(20q). Leuk Res 34(4):447–453. doi:S0145-2126(09)00428-7 [pii] 10.1016/j.leukres.2009.08.023

    Article  PubMed  CAS  Google Scholar 

  51. Greisman HA, Yi HS, Hoffman NG (2007) Transcgh: rapid identification and high-resolution mapping of balanced igh translocations in archival DNA using custom oligonucleotide arrays. Paper presented at the American Society of Hematology Annual Meeting, Atlanta, GA

    Google Scholar 

  52. Greisman HA, Greiner TC, Yi HS et al (2008) High-throughput cloning of t(11;14) breakpoints outside the major translocation cluster in mantle cell lymphoma. Paper presented at the American Society of Hematology Annual Meeting, San Francisco, CA

    Google Scholar 

  53. Valli R, Marletta C, Pressato B et al (2011) Comparative genomic hybridization on microarray (a-cgh) in constitutional and acquired mosaicism may detect as low as 8% abnormal cells. Mol Cytogenet 4:13. doi:1755-8166-4-13 [pii] 10.1186/1755-8166-4-13

    Article  PubMed  Google Scholar 

  54. Cross J, Peters G, Wu Z et al (2007) Resolution of trisomic mosaicism in prenatal diagnosis: estimated performance of a 50k snp microarray. Prenat Diagn 27(13):1197–1204. doi:10.1002/pd.1884

    Article  PubMed  Google Scholar 

  55. Neill NJ, Torchia BS, Bejjani BA et al (2010) Comparative analysis of copy number detection by whole-genome bac and oligonucleotide array cgh. Mol Cytogenet 3:11. doi:1755-8166-3-11 [pii] 10.1186/1755-8166-3-11

    Article  PubMed  Google Scholar 

  56. Sweetser DA, Peniket AJ, Haaland C et al (2005) Delineation of the minimal commonly deleted segment and identification of candidate tumor-suppressor genes in del(9q) acute myeloid leukemia. Genes Chromosomes Cancer 44(3):279–291. doi:10.1002/gcc.20236

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors thank Erin Dodge (Signature Genomic Laboratories) for her careful formatting of this manuscript. We thank Donna Wilmoth, (The Children’s Hospital of Philadelphia) for the use of the SNP image.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lisa G. Shaffer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Shaffer, L.G., Ballif, B.C., Schultz, R.A. (2013). The Use of Cytogenetic Microarrays in Myelodysplastic Syndrome Characterization. In: Banerjee, D., Shah, S. (eds) Array Comparative Genomic Hybridization. Methods in Molecular Biology, vol 973. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-281-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-62703-281-0_5

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-280-3

  • Online ISBN: 978-1-62703-281-0

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics