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Table of Contents
Vol. 75, No. 2, 2008
Issue release date: June 2008
Section title: Review
Pathobiology 2008;75:104–111

Understanding the Molecular Basis of Histologic Grade

Ignatiadis M. · Sotiriou C.
Translational Research Unit, Jules Bordet Institute, Brussels, Belgium
email Corresponding Author

Christos Sotiriou, MD, PhD

Translational Research Unit, Jules Bordet Institute

121, boulevard de Waterloo

BE–1000 Brussels (Belgium)

Tel. +32 2 541 3428, Fax +32 2 538 0858, E-Mail christos.sotiriou@bordet.be

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Histologic grading in breast cancer is based on the evaluation of 3 morphologic features (tubule formation, nuclear pleomorphism and mitotic count), is essentially describing proliferation and differentiation in breast cancer, and is considered an important prognostic factor for this disease. It has been suggested that histologic grade 1 and 3 breast tumors are 2 different diseases that may have distinct molecular origins, pathogenesis and natural history. Different single markers like Ki-67, thymidine labeling index and S phase fraction/flow cytometry have been studied as markers of proliferation, but none of them, with the possible exception of Ki-67, is currently employed routinely in clinical practice. The advent of the powerful microarray technology has enabled scientists to comprehensively study proliferation in breast cancer on a genome-wide scale. A gene expression grade index (GGI) was developed that challenges the existence and clinical relevance of an intermediate grade 2 classification. The GGI could reclassify patients with histologic grade 2 tumors into 2 groups with high versus low risks of recurrence. GGI has also been used to define 2 clinically relevant subgroups in estrogen receptor-positive breast carcinomas. Finally, in the largest meta-analysis of publicly available gene expression and clinical data, 4 stable molecular subgroups of breast cancer have been identified, namely ER–/HER–, HER2+ and ER+/HER2–, which was divided into 2 subgroups (ER+/low proliferation and ER+/high proliferation). In this same meta-analysis, proliferation was shown to be the common driving force responsible for the performance of various breast cancer prognostic signatures.

© 2008 S. Karger AG, Basel

Article / Publication Details

First-Page Preview
Abstract of Review

Published online: June 10, 2008
Issue release date: June 2008

Number of Print Pages: 8
Number of Figures: 2
Number of Tables: 0

ISSN: 1015-2008 (Print)
eISSN: 1423-0291 (Online)

For additional information: http://www.karger.com/PAT

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