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Identification and validation of prognostic markers in breast cancer with the complementary use of array-CGH and tissue microarrays

  • Grace Callagy
  • , Paul Pharoah
  • , Suet Feung Chin
  • , Trogon Sangan
  • , Yataro Daigo
  • , Lucy Jackson
  • , Carlos Caldas
  • University of Cambridge
  • Addenbrookes Hospital
  • Strangeways Research Centre

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

126 Citations (Scopus)

Abstract

Gene amplification, an important mechanism of oncogene activation in breast cancer, can have both prognostic and therapeutic implications. In this work, an attempt is made to identify amplified genes that can be used to improve prognostication in breast cancer. A series of 52 node-negative tumours was screened for genomic gains at 57 loci by array-CGH. A subset of these genes was identified that could divide the series into two divergent outcome groups of either long-term survivors or early disease-related deaths (p = 0.01) using a combination of k-means clustering and statistical analysis. The prognostic significance of amplification of four of the genes (EMS1, TOP2A, CCNE1, and ERBB2) was then evaluated, using fluorescent in situ hybridization on a tissue microarray, in a second larger 'validation' series of 232 tumours with a median follow-up of 4.8 years. Adverse disease-related outcome was associated with amplification of TOP2A (p = 0.004); ERBB2 (p = 0.002); and with the combined amplification of TOP2A, ERBB2, and EMS1 (p = 0.01). EMS1 amplification was more common (26% of cases) than previously reported but, in isolation, had no prognostic significance. Amplification of CCNE1, seen in only 6% of cases, had no prognostic role. These results indicate that the complementary use of array-CGH and tissue microarrays has the potential to help in the identification and validation of molecular markers that can be used to classify breast cancers into different prognostic groups.

Original languageEnglish
Pages (from-to)388-396
Number of pages9
JournalThe Journal of Pathology
Volume205
Issue number3
DOIs
Publication statusPublished - Feb 2005
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Array CGH
  • Breast cancer
  • CCNE1
  • EMS1
  • ERBB2
  • TOP2A
  • Tissue microarray

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