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Prognostic value of proliferation in invasive breast cancer: a review: Table 1

Open access
van Diest, P J, van der Wall, E, Baak, J P A·2004·Journal of Clinical Pathology

Abstract

Breast cancer is the leading cause of death among solid tumours in women, and its incidence is increasing in the West. Adjuvant chemotherapy and hormonal treatment improve survival but have potentially serious side effects, and are costly. Because adjuvant treatment should be given to high risk patients only, and traditional prognostic factors (lymph node status, tumour size) are insufficiently accurate, better predictors of high risk and treatment response are needed. Invasive breast cancer metastasises haematogenously very early on, so many breast cancer prognosticators are directly or indirectly related to proliferation. Although studies evaluating the role of individual proliferation regulating genes have greatly increased our knowledge of this complex process, the functional end result—cells dividing—has remained the most important prognostic factor. This article reviews the prognostic value of different proliferation assays in invasive breast cancer, and concludes that increased proliferation correlates strongly with poor prognosis, irrespective of the methodology used. Mitosis counting provides the most reproducible and independent prognostic value, and Ki67/MIB1 labelling and cyclin A index are promising alternatives that need methodological fine tuning.

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Metadata

Authors
van Diest, P. J., van der Wall, E., & Baak, J. P. A.
Venue
Journal of Clinical Pathology
Publisher
BMJ
Published
2004-06-25
Volume
57
Issue
7
Pages
675-681
ISSN
  • 0021-9746 (ISSN-L)
  • 1472-4146
OpenAlex
W2169160999
Cited by
385
References
0
FWCI
7.71
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Prognostic value of proliferation in invasive breast cancer: a review: Table 1. https://app.cochat.ai/papers/10.1136/jcp.2003.010777
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van Diest, P. J., van der Wall, E., & Baak, J. P. A. (2004). Prognostic value of proliferation in invasive breast cancer: a review: Table 1. Journal of Clinical Pathology. https://doi.org/10.1136/jcp.2003.010777

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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