Loss of annexin A1 expression in human breast cancer detected by multiple high-throughput analyses

Biochem Biophys Res Commun. 2005 Jan 7;326(1):218-27. doi: 10.1016/j.bbrc.2004.10.214.

Abstract

To test the efficacy of combined high-throughput analyses (HTA) in target gene identification, screening criteria were set using >fivefold difference by microarray and statistically significant changes (p<0.01) in SAGE and EST. Microarray analysis of two normal and seven breast cancer samples found 129 genes with >fivefold changes. Further SAGE and EST analyses of these genes identified four qualified genes, ERBB2, GATA3, AGR2, and ANXA1. Their expression pattern was validated by RT-PCR in both breast cell lines and tissue samples. Loss of ANXA1 in breast cancer was further confirmed at mRNA level by Human Breast Cancer Tissue Profiling Array and at protein level by immunohistochemical staining. This study demonstrated that combined HTA effectively narrowed the number of genes for further study, while retaining the sensitivity in identifying biologically important genes such as ERBB2 and ANXA1. A distinctive loss of ANXA1 in breast cancer suggests its involvement in maintaining normal breast biology.

Publication types

  • Clinical Trial
  • Comparative Study
  • Controlled Clinical Trial
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.
  • Validation Study

MeSH terms

  • Algorithms
  • Annexin A1 / analysis
  • Annexin A1 / genetics
  • Annexin A1 / metabolism*
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism*
  • Breast Neoplasms / classification
  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / genetics
  • Breast Neoplasms / metabolism*
  • Electrophoresis, Polyacrylamide Gel / methods
  • Expressed Sequence Tags
  • Female
  • Gene Expression Profiling / methods*
  • Humans
  • Oligonucleotide Array Sequence Analysis / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Sequence Analysis, Protein / methods*

Substances

  • Annexin A1
  • Biomarkers, Tumor