Skip to main content

DNA Flow Cytometry Application to Clinical Trials in Breast Cancer

  • Chapter
Basic and Clinical Applications of Flow Cytometry

Part of the book series: Developments in Oncology ((DION,volume 77))

  • 66 Accesses

Abstract

The appropriate management of the breast cancer patient with early stage disease is a controversial/frustrating issue. Prognostic factors that could accurately predict tumor behavior would greatly aid both the clinician and the patient in their treatment decisions, The clinical trial setting affords one of the best opportunities to assess new treatment strategies as well as evaluate new prognostic markers. Several prognostic factors are currently being evaluated in a number of clinical trials throughout the United States, the most well established of these markers is DNA flow cytometry.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dressler LG, Bartow SA: DNA flow cytometry in solid tumors: Practical aspects and clinical applications. Seminars in Diagnostic Pathology 6:55–82, 1989.

    PubMed  CAS  Google Scholar 

  2. Coulson PB, Thornthwaite JR, Wooley TW, et al: Prognostic indicators including DNA histogram type, receptor content, and staging related to human breast cancer survival. Cancer Res. 44:4187–4196, 1984.

    PubMed  CAS  Google Scholar 

  3. Kallioniemi OP, Hietanen T, Mattila J, et al: Aneuploid DNA content and high S phase fraction of tumor cells are related to poor prognosis in patients with primary breast cancer. Eur. J. Clin. Oncol. 23:277–282, 1987.

    Article  CAS  Google Scholar 

  4. Kallioniemi OP, Blanco G, Alavaikko M, et al: Improving the prognostic value of DNA flow cytometry in breast cancer by combining DNA index and S phase fraction: A proposed classification. Cancer 62:2183–2190, 1988.

    Article  PubMed  CAS  Google Scholar 

  5. Siguurdsson H, Baldetorp B, Borg A, et al: Indicators of prognosis in node negative breast cancer. New Eng. J. Med. 322:1045–1053, 1990.

    Article  Google Scholar 

  6. Muss HB, Kute TE, Case LD, et al: The relationship of flow cytometry to clinical and biologic characteristics in women with node negative primary breast cancer. Cancer 64:1894–1990, 1989.

    Article  PubMed  CAS  Google Scholar 

  7. Clark GM, Owens MA, McGuire WL: A new S phase model predicts for recurrence for aneuploid as well as diploid node-negative breast cancer. Proc. ASCO 10:44, 1991.

    Google Scholar 

  8. Winchester DJ, Duda RB, August CZ, et al: The importance of DNA flow cytometry in node negative breast cancer. Arch. Surg. 125:886–889, 1990.

    PubMed  CAS  Google Scholar 

  9. Klintenberg C, Stal O, Nordenskjold, et al: Proliferative index, cytosolic estrogen receptors and axillary node status as prognostic predictors in human mammary carcinoma. Breast Cancer Res. and Treat. 7 (Suppl) 99–106, 1986.

    Google Scholar 

  10. O’Reilly SM, Camplejohn RS, Barnes DM, et al: Node negative breast cancer: Prognostic subgroups defined by tumor size and DNA flow cytometry. J. Clin. Oncol. 8:2040–2046, 1990.

    PubMed  Google Scholar 

  11. Dressier LG, Eudey L, Gray R, et al: Prognostic potential of DNA flow cytometry measurements in node-negative breast cancer patients: Preliminary analysis of an Intergroup Study (INT0076). J. Natl. Cancer Inst. 11:167–172, 1992.

    Google Scholar 

  12. Ewers SB, Langstrom E, Baldetorp B, et al: Flow cytometric DNA analysis in primary breast carcinomas and clinicopathological correlations. Cytometry 5:408–419, 1984.

    Article  PubMed  CAS  Google Scholar 

  13. Beerman H, Klein Ph.M, Hermans J, et al: Prognostic significance of DNA-ploidy in a series of 690 primary breast cancer patients. Int. J. Cancer 45:34–39, 1990.

    Article  PubMed  CAS  Google Scholar 

  14. Brifford M, Spyratos F, Tubiana-Hulin M, et al: Sequential cytopunctures during preoperative chemotherapy for breast cancer. Cytomorphologic changes, initial tumor ploidy and tumor regression. Cancer 63:631–637, 1989.

    Article  Google Scholar 

  15. Spyrotas F, Brifford M, Tubiana-Hulin M, et al: Sequential cytopunctures during pre-operative chemotherapy for primary breast carcinoma. II. DNA flow cytometry changes during chemotherapy, tumor regression and short-term follow-up. Cancer 69:470–475, 1992.

    Article  Google Scholar 

  16. Remvikos Y, Beuzeboc P, Zadjela A, et al: Correlation of pretreatment proliferative activity with response to cytotoxic chemotherapy. J. Natl. Cancer Inst. 81:1383–1387, 1989.

    Article  PubMed  CAS  Google Scholar 

  17. Seymour L, Bezwoda WR, Meyer K: Response to second line hormone treatment for advanced breast cancer. Predictive value of ploidy determination. Cancer 65:2720–2724, 1990.

    Article  PubMed  CAS  Google Scholar 

  18. Osborne CK: DNA flow cytometry in early breast cancer. A step in the right direction. JNCI 81:1344–1345, 1989.

    PubMed  CAS  Google Scholar 

  19. Dressier L, Mangalik A, Bartow SA, et al: The use of DNA flow cytometry to characterize breast cancer cells affected by pre-surgical (neoadjuvant) chemotherapy. Proc. AACR 33:213, 1992.

    Google Scholar 

  20. Lewis WE: Prognostic significance of flow cytometric DNA analyses in node negative breast patients. Cancer 65:2315–2320, 1990.

    Article  PubMed  CAS  Google Scholar 

  21. Fisher B, Gunduz N, Costantino J, et al: DNA flow cytometric analysis of primary operable breast cancer. Relation of ploidy and S phase fraction to prognosis of patients in NSABP B-04. Cancer 68:1465–1475, 1991.

    Article  PubMed  CAS  Google Scholar 

  22. Intergroup Trial (0102). SWOG 8897. ECOG 2188. CALGB 8897. Phase III comparison of adjuvant chemotherapy with or without endocrine therapy in high risk, node negative breast cancer patients, and a natural history follow-up study in low risk, node negative patients. Activated August 1989.

    Google Scholar 

  23. NSABP Protocol B-18. A “unified” trial to compare short, intensive preoperative systemic adriamycin, cyclophosphamide therapy with similar therapy administered in conventional postoperative fashion. B-18.2. A study to evaluate DNA histograms by flow cytometry.

    Google Scholar 

  24. Eastern Cooperative Oncology Group Laboratory Study EST4189. Clinical significance and therapeutic impact of DNA flow cytometry measurements of ploidy and S phase and immunohistochemistry of the HER-2NEU oncogene product and steroid hormone receptors: Prediction of disease progression and response to therapy in Stage II breast cancer patients.

    Google Scholar 

  25. Southwest Oncology Group Laboratory Study 8854. Intergroup (INT0104). Prognostic value of cytometry measurements of breast cancer DNA from post menopausal patients with involved nodes and receptor positive tumors: A comparison protocol to SWOG 8814.

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Kluwer Academic Publishers

About this chapter

Cite this chapter

Dressler, L.G. (1996). DNA Flow Cytometry Application to Clinical Trials in Breast Cancer. In: Valeriote, F.A., Nakeff, A., Valdivieso, M. (eds) Basic and Clinical Applications of Flow Cytometry. Developments in Oncology, vol 77. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1253-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-1253-6_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8534-2

  • Online ISBN: 978-1-4613-1253-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics