Skip to main content

Advertisement

Log in

Ki67 as a Biomarker of Prognosis and Prediction: Is it Ready for Use in Routine Pathology Practice?

  • Biomarkers (S Dawood, Section Editor)
  • Published:
Current Breast Cancer Reports Aims and scope Submit manuscript

Abstract

Breast cancer is the most common cancer in women, and the search for effective markers to design therapeutic strategies and patient management algorithms is still a work in progress. Ki67, a proliferative marker, has gained attention as a prognostic and predictive factor in early breast cancer and/or to decide response to chemotherapy. Individual studies and meta-analyses have provided evidence of its usefulness in this regard. Immunohistochemical staining Ki67 has emerged as an easy and cheap tool to assess proliferation in laboratory setting. However, debate continues over its meaningful clinical use, given the lack of standardization of staining techniques and firm recommendations about pre-analytical tissue handling, interpretation of the stain, and methods to estimate Ki67, resulting in high interlaboratory and interobserver variability. Importantly, no consensus has been reached on the cut-off values for risk stratification. The Breast Cancer Working Group proposed guidelines for immunohistochemical evaluation of Ki67 in 2011. However, the follow-up study showed poor reproducibility even among experts, and the use of Ki67 in daily practice is still in question.

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.

Similar content being viewed by others

References

Papers of particular interest, published recently, have been highlighted as: •• Of major importance

  1. Cummings MC et al. Molecular classification of breast cancer: is it time to pack up our microscopes? Pathology. 2011;43:1–8.

    Article  PubMed  Google Scholar 

  2. Dowsett M et al. Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group. J Natl Cancer Inst. 2011;103:1656–64. Describes in detail the recommendations proposed by the Breast Cancer Working.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  3. Yerushalmi R et al. Ki67 in breast cancer: prognostic and predictive potential. Lancet Oncol. 2010;11:174–83.

    Article  CAS  PubMed  Google Scholar 

  4. Gudlaugsson E et al. Comparison of the effect of different techniques for measurement of Ki67 proliferation on reproducibility and prognosis prediction accuracy in breast cancer. Histopathology. 2012;61:1134–44.

    Article  PubMed  Google Scholar 

  5. Inwald EC et al. Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry. Breast Cancer Res Treat. 2013;139:539–52.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  6. Feeley LP et al. Distinguishing luminal breast cancer subtypes by Ki67, progesterone receptor or TP53 status provides prognostic information. Mod Pathol. 2014;27:554–61.

    Article  CAS  PubMed  Google Scholar 

  7. Polley MY et al. An international Ki67 reproducibility study. J Natl Cancer Inst. 2013;105:1897–906. Highlights the results of the reproducibility study of Ki67 based on the proposed recommendations.

    Article  PubMed  Google Scholar 

  8. Goldhirsch A et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol. 2013;24:2206–23.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  9. Wesolowski R, Ramaswamy B. Gene expression profiling: changing face of breast cancer classification and management. Gene Expr. 2011;15:105–15.

    Article  PubMed Central  PubMed  Google Scholar 

  10. Colozza M, Sidoni A, Piccart-Gebhart M. Value of Ki67 in breast cancer: the debate is still open. Lancet Oncol. 2010;11:414–5.

    Article  PubMed  Google Scholar 

  11. Lawry J et al. The value of assessing cell proliferation in breast cancer. J Microsc. 1990;159(Pt 3):265–75.

    Article  CAS  PubMed  Google Scholar 

  12. Fitzgibbons PL et al. Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999. Arch Pathol Lab Med. 2000;124:966–78.

    CAS  PubMed  Google Scholar 

  13. de Azambuja E et al. Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12,155 patients. Br J Cancer. 2007;96:1504–13.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Bouzubar N et al. Ki67 immunostaining in primary breast cancer: pathological and clinical associations. Br J Cancer. 1989;59:943–7.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  15. Stuart-Harris R et al. Proliferation markers and survival in early breast cancer: a systematic review and meta-analysis of 85 studies in 32,825 patients. Brea. 2008;17:323–34.

    Article  CAS  Google Scholar 

  16. Reyal F et al. Long-term prognostic performance of Ki67 rate in early stage, pT1-pT2, pN0, invasive breast carcinoma. PLoS ONE. 2013;8:e55901.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  17. Nishimura R et al. Ki-67 as a prognostic marker according to breast cancer subtype and a predictor of recurrence time in primary breast cancer. Exp Ther Med. 2010;1:747–54.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Ellis MJ, et al. Outcome prediction for estrogen receptor-positive breast cancer based on postneoadjuvant endocrine therapy tumor characteristics. J Natl Cancer Inst. 2;100:1380–8.

  19. Cuzick J et al. Prognostic value of a combined estrogen receptor, progesterone receptor, Ki-67, and human epidermal growth factor receptor 2 immunohistochemical score and comparison with the Genomic Health recurrence score in early breast cancer. J Clin On. 2011;29:4273–8.

    Article  Google Scholar 

  20. Dowsett M et al. Comparison of PAM50 risk of recurrence score with oncotype DX and IHC4 for predicting risk of distant recurrence after endocrine therapy. J Clin O. 2013;31:2783–90.

    Article  Google Scholar 

  21. Penault-Llorca F et al. Ki67 expression and docetaxel efficacy in patients with estrogen receptor-positive breast cancer. J Clin Oncol. 2009;27:2809–15.

    Article  CAS  PubMed  Google Scholar 

  22. Sueta A et al. Clinical significance of pretherapeutic Ki67 as a predictive parameter for response to neoadjuvant chemotherapy in breast cancer: is it equally useful across tumor subtypes? Surgery. 2014;155:927–35.

    Article  PubMed  Google Scholar 

  23. Dowsett M et al. Endocrine therapy, new biologicals, and new study designs for presurgical studies in breast cancer. J Natl Cancer Inst Monogr. 2011;2011:120–3.

    Article  PubMed  Google Scholar 

  24. Pinhel IF et al. Extreme loss of immunoreactive p-Akt and p-Erk1/2 during routine fixation of primary breast cancer. Breast Cancer Res. 2010;12:R76.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Bai Y et al. Quantitative assessment shows loss of antigenic epitopes as a function of pre-analytic variables. Lab Invest. 2011;91:1253–61.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  26. Laurinavicius A et al. A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue. Breast Cancer Res. 2014;16:R35.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Gokhale S et al. Assessment of two automated imaging systems in evaluating estrogen receptor status in breast carcinoma. Appl Immunohistochem Mol Morphol. 2007;15:451–5.

    Article  CAS  PubMed  Google Scholar 

  28. Romero Q et al. A novel model for Ki67 assessment in breast cancer. Diagn Pathol. 2014;9:118.

    Article  PubMed Central  PubMed  Google Scholar 

  29. Caldarella A, Crocetti E, Paci E. Ki67 in breast cancer: a useful prognostic marker? Ann Oncol. 2014;25:542.

    Article  CAS  PubMed  Google Scholar 

  30. Denkert C et al. Ki67 levels as predictive and prognostic parameters in pretherapeutic breast cancer core biopsies: a translational investigation in the neoadjuvant Gepartrio trial. Ann Oncol. 2013;24:2786–93.

    Article  CAS  PubMed  Google Scholar 

  31. McCormick D et al. The relevance of antibody concentration to the immunohistological quantification of cell proliferation-associated antigens. Histopathology. 1993;22:543–7.

    Article  CAS  PubMed  Google Scholar 

  32. Cserni G et al. Distribution pattern of the Ki67 labelling index in breast cancer and its implications for choosing cut-off values. Breast. 2014;23:259–63.

    Article  PubMed  Google Scholar 

  33. Wiesner FG et al. Ki-67 as a prognostic molecular marker in routine clinical use in breast cancer patients. Breast. 2009;18:135–41.

    Article  PubMed  Google Scholar 

  34. Li FY et al. Prognostic value of Ki-67 in breast cancer patients with positive axillary lymph nodes: a retrospective cohort study. PLoS ONE. 2014;9:e87264.

    Article  PubMed Central  PubMed  Google Scholar 

  35. Engels CC et al. The prognostic value of apoptotic and proliferative markers in breast cancer. Breast Cancer Res Treat. 2013;142:323–39.

    Article  CAS  PubMed  Google Scholar 

Download references

Compliance with Ethics Guidelines

Conflict of Interest

Constance Albarracin and Sagar Dhamne declare that they have no conflicts of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Constance Albarracin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Albarracin, C., Dhamne, S. Ki67 as a Biomarker of Prognosis and Prediction: Is it Ready for Use in Routine Pathology Practice?. Curr Breast Cancer Rep 6, 260–266 (2014). https://doi.org/10.1007/s12609-014-0163-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12609-014-0163-y

Keywords

Navigation