Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer

@article{Wang2005GeneexpressionPT,
  title={Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer},
  author={Yixin Wang and J. Klijn and Y. Zhang and A. Sieuwerts and M. Look and Fei Yang and D. Talantov and M. Timmermans and M. M. Gelder and Jack X. Yu and T. Jatkoe and E. Berns and D. Atkins and J. Foekens},
  journal={The Lancet},
  year={2005},
  volume={365},
  pages={671-679}
}
BACKGROUND Genome-wide measures of gene expression can identify patterns of gene activity that subclassify tumours and might provide a better means than is currently available for individual risk assessment in patients with lymph-node-negative breast cancer. METHODS We analysed, with Affymetrix Human U133a GeneChips, the expression of 22000 transcripts from total RNA of frozen tumour samples from 286 lymph-node-negative patients who had not received adjuvant systemic treatment. FINDINGS In… Expand

Paper Mentions

Observational Clinical Trial
Major Aims of study: 1. To create a gene expression-based prognostic device that complements or exceeds the prognostic utility of conventional biomarkers of breast… Expand
ConditionsBreast Tumor
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Concordance among gene-expression-based predictors for breast cancer.
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Four of the five gene sets used for prognostication in patients with breast cancer showed significant agreement in the outcome predictions for individual patients and are probably tracking a common set of biologic phenotypes. Expand
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Although the metastatic potential to some extend is determined by the same genes in groups of tumors with different characteristics and risk, expression‐based classification specifically developed in low‐risk patients have higher predictive power in this group. Expand
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