Skip to main content

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 159.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 209.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bordeleau L, Berinstein NL. Molecular diagnostics in follicular non-Hodgkin’s lymphoma. Semin Oncol 2000;27(6 Suppl 12):42–52

    PubMed  CAS  Google Scholar 

  2. Burmeister T, Thiel E. Molecular genetics in acute and chronic leukemias. J Cancer Res Clin Oncol 2001;127:80–90

    Article  PubMed  CAS  Google Scholar 

  3. Grimwade D, Walker H, Oliver F et al. The importance of diagnostic cytogenetics on outcome in AML: analysis of 1,612 patients entered into the MRC AML 10 trial. Blood 1998;92:2322–33

    PubMed  CAS  Google Scholar 

  4. Harrison CJ. The management of patients with leukaemia: the role of cytogenetics in this molecular era. Br J Hematol 2000;108:19–30

    Article  CAS  Google Scholar 

  5. Huret JL, Dessen P, LeMinor S et al. The “Atlas of Genetics and Cytogenetics in Oncology and Haematology” on the internet and a review on infant leukemias. Cancer Genet Cytogenet 2000;120:155–9

    Article  PubMed  CAS  Google Scholar 

  6. Kristensen TD, Wesenberg F et al. High-resolution comparative genomic hybridisation yields a high detection rate of chromosomal aberrations in childhood acute lymphoblastic leukaemia. Eur J Haematol 2003;70:363–72

    Article  PubMed  CAS  Google Scholar 

  7. Mrozek K, Heinonen K, Bloomfield CD. Prognostic value of cytogenetic findings in adults with acute myeloid leukemia. Int J Hematol 2000;72:261–71

    PubMed  CAS  Google Scholar 

  8. http://www.ncbi.nlm.nih.gov/Genbank/GenbankOverview.html NIH gene database

    Google Scholar 

  9. http://www.gdb.org/ Human Genome Database

    Google Scholar 

  10. http://atlasgeneticsoncology.org/ Atlas of Genetics and Cytogenetics

    Google Scholar 

  11. http://www.slh.wisc.edu/cytogenetics/index.php Cancer Cytogenetics

    Google Scholar 

  12. http://www.biologia.uniba.it/rmc/ Molecular Cytogenetics Resources

    Google Scholar 

  13. http://www.genenames.org/ Human Gene Nomenclature

    Google Scholar 

  14. Cassinat B, Zassadowski F, Balitrand N et al. Quantitation of minimal residual disease in acute promyelocytic leukemia patients with t(15;17) translocation using real-time RT–PCR. Leukemia 2000;14:324–8

    Article  PubMed  CAS  Google Scholar 

  15. Krauter J, Pascheberg U, Heinze B et al. Detection of karyotypic aberrations in acute myeloblastic leukemia (AML): a prospective comparison between PCR/FISH and standard cytogenetics in 140 patients with de novo AML. Br J Haematol 1998;103:72–8

    Article  PubMed  CAS  Google Scholar 

  16. Perez EA, Pusztai L, Van de Vijver M. Improving patient care through molecular diagnostics. Semin Oncol 2004;31(5 Suppl 10):14–20

    Article  PubMed  CAS  Google Scholar 

  17. Schoch C, Kohlmann A et al. Acute myeloid leukemias with reciprocal rearrangements can be distinguished by specific gene expressions profiles. Proc Natl Acad Sci U S A 2002;99:10008–13

    Article  PubMed  CAS  Google Scholar 

  18. Staudt LM. Molecular diagnosis of the hematologic cancers. N Engl J Med 2003;348:1777–85

    Article  PubMed  CAS  Google Scholar 

  19. Varella-Garcia M. Molecular cytogenetics in solid tumors: laboratorial tool for diagnosis, prognosis, and therapy. Oncologist 2003;8:45–58

    Article  PubMed  CAS  Google Scholar 

  20. http://jmd.amjpathol.org Journal of Molecular Diagnostics

    Google Scholar 

  21. http://www.acmg.net/ American College of Medical Genetics

    Google Scholar 

  22. http://www.abgc.net/ American Board of Genetic Counseling

    Google Scholar 

  23. http://www.eshg.org European Society of Human Genetics

    Google Scholar 

  24. http://www.eurogene.org/index.php European Genetics Foundation

    Google Scholar 

  25. http://genetics.faseb.org/genetics/acmg/stds/g.htm ACMG Standards and Guidelines

    Google Scholar 

  26. Baak JPA, Path FRC, Hermsen MAJA et al. Genomics and proteomics in cancer. Eur J Cancer 2003;39:1199–215

    Article  PubMed  CAS  Google Scholar 

  27. Bullinger L, Döhner K, Bair E et al. Use of gene expression profiling to identify prognostic subclasses in adult acute myeloid leukemia. N Engl J Med 2004;350:1605–16

    Article  PubMed  CAS  Google Scholar 

  28. Ebert BL, Golub TR. Genomic approaches to hematologic malignancies. Blood 2004;104:923–32

    Article  PubMed  CAS  Google Scholar 

  29. Hubank M. Gene expression profiling and its application in studies of haematological malignancy. Br J Haematol 2004;124:577–94

    Article  PubMed  CAS  Google Scholar 

  30. Quackenbush J. Microarray analysis and tumor classification. N Engl J Med 2006; 354:2463–72

    Article  PubMed  CAS  Google Scholar 

  31. Ramaswamy S, Ross KN, Lander ES et al. A molecular signature of metastasis in primary solid tumors. Nat Genet 2003;33:49–54

    Article  PubMed  CAS  Google Scholar 

  32. Rosenwald AR, Wright G, Chan WC et al. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. N Engl J Med 2002;346:1937–47

    Article  PubMed  Google Scholar 

  33. Van de Vijver MJ, He YD, van’t Veer LJ et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 2002;347:1999–2009

    Article  PubMed  Google Scholar 

  34. http://dc.nci.nih.gov/dc/ NCI, Molecular Classification of Cancer

    Google Scholar 

  35. http://genome-www5.stanford.edu/ Stanford Microarray Database

    Google Scholar 

  36. http://www.ebi.ac.uk/arrayexpress/ EBI Transciptional Database

    Google Scholar 

  37. http://www.genome.ad.jp/kegg/kegg2.html KEGG, Biochemical Pathways

    Google Scholar 

  38. http://genmapp.org GenMapp, Biochemical Pathways

    Google Scholar 

  39. http://affymetrix.com Affymetrix Microarrays

    Google Scholar 

  40. Brawer MK. Prostate-specific antigen: current status. CA Cancer J Clin 1999;49:264–81

    Article  PubMed  CAS  Google Scholar 

  41. Gion M, Mione R, Barioli P et al. Dynamic use of tumor markers: rationale, clinical applications and pitfalls. Anticancer Res 1996;16:2279–84

    PubMed  CAS  Google Scholar 

  42. Locker GY, Hamilton S, Harris J et al. ASCO 2006 Update of recommendations for the use of tumor markers in gastrointestinal cancer. J Clin Oncol 2006;24:5313–27

    Article  PubMed  CAS  Google Scholar 

  43. Rapkiewicz AV, Espina V, Petricoin EF et al. Biomarkers of ovarian tumours. Eur J Cancer 2004;40:2604–12

    Article  PubMed  CAS  Google Scholar 

  44. Scher HI, Eisenberger M, D’Amico AV et al. Eligibility and outcomes reporting guidelines for clinical trials for patients in the state of a rising prostate-specific antigen. Recommendations from the PSA Working Group. J Clin Oncol 2004;22:537–56

    Article  PubMed  Google Scholar 

  45. Sölétormos G, Nielsen D, Schioler V et al. Monitoring different stages of breast cancer using tumour markers CA 15-3, CEA and TPA. Eur J Cancer 2004;40:481–6

    Article  PubMed  Google Scholar 

  46. http://www.asco.org ASCO Tumor Marker Guidelines

    Google Scholar 

  47. http://oncolink.upenn.edu/ Oncolink, Tumor Marker Fact Sheet

    Google Scholar 

  48. http://cancernet.nci.nih.org/ Tumor Marker Fact Sheets

    Google Scholar 

  49. Bene M, Castoldi G, Knapp W et al. Proposals for the immunological classification of acute leukemias. Leukemia 1995;9:1783–6

    PubMed  CAS  Google Scholar 

  50. Bennett J, Catovskz D, Daniel M et al. Proposed revised criteria for the classification of acute myeloid leukemias. Ann Intern Med 1985;103:626–9

    Google Scholar 

  51. Cheson B, Cassileth P, Head D et al. Report of the National Cancer Institute-sponsored workshop on definitions of diagnosis and response in acute myeloid leukemia. J Clin Oncol 1990;8:813–9

    PubMed  CAS  Google Scholar 

  52. Gratama JW, Sutherland DR, Keeney M. Flow cytometric enumeration and immunophenotyping of hematopoietic stem and progenitor cells. Semin Hematol 2001;38:139–47

    Article  PubMed  CAS  Google Scholar 

  53. Harris NL, Jaffe E, Stein H et al. A Revised European-American Classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group. Blood 1994;84:1361–92

    PubMed  CAS  Google Scholar 

  54. Harris NL, Jaffe ES, Diebold J et al. World Health Organization classification of neoplastic diseases of the hematopoietic and lymphoid tissues: report of the Advisory Committee meeting, Airlie House, Virginia, November 1997. J Clin Oncol 1999;17:3835–49

    PubMed  CAS  Google Scholar 

  55. Mason D et al (eds). Leucocyte Typing VII. Oxford University Press, 2001

    Google Scholar 

  56. Stetler-Stevenson M, Braylan RC. Flow cytometric analysis of lymphomas and lymphoproliferative disorders. Semin Hematol 2001;38:111–23

    Article  PubMed  CAS  Google Scholar 

  57. Vardiman J, Harris NL, Brunning RD; the World Health Organization (WHO) classification of the myeloid neoplasms. Blood 2002;100:2292–2302

    Article  PubMed  CAS  Google Scholar 

  58. Zola H, Swart B, Nicholson I et al. CD molecules 2005: Human cell differentiation molecules. Blood 2005;106:3123–3126

    Article  PubMed  CAS  Google Scholar 

  59. http://image.bloodline.net/ Picture Atlas, Bloodline

    Google Scholar 

  60. http://www.hlda8.org HLDA Workshop

    Google Scholar 

  61. http://mpr.nci.nih.quv/prow Flow Cytometry Database

    Google Scholar 

  62. Fisch P, Moris A, Rammensee HG et al. Inhibitory MHC class I receptors on gammadelta T cells in tumour immunity and autoimmunity. Immunol Today 2000;21:187–191

    Article  PubMed  CAS  Google Scholar 

  63. Godsell DS. The molecular perspective: MHC. Oncologist 2005;10:80–1

    Article  Google Scholar 

  64. Klein J, Sato A. The HLA System. N Engl J Med 2000;243:702–9, 782–6

    Google Scholar 

  65. Marsh SG, Bodmer JG, Albert ED et al. Nomenclature for factors of the HLA system, 2000. Tissue Antigens 2001;57:236–83

    Article  PubMed  CAS  Google Scholar 

  66. http://www.ashi-hla.org/ American Society for Histocompatibility and Immunogenetics

    Google Scholar 

  67. http://www.ihwg.org/ International Histocompatibility Working Group

    Google Scholar 

  68. http://www.worldmarrow.org WMDA, World Marrow Donor Association

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kunzmann, R. et al. (2008). Special Diagnostics. In: Berger, D., Engelhardt, M., Henß, H., Mertelsmann, R. (eds) Concise Manual of Hematology and Oncology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73277-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73277-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73276-1

  • Online ISBN: 978-3-540-73277-8

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics