Gene expression profiling predicts clinical outcome of breast cancer

@article{Veer2002GeneEP,
  title={Gene expression profiling predicts clinical outcome of breast cancer},
  author={Laura J. van't Veer and Hongyue Dai and Marc J. van de Vijver and Yudong D. He and Augustinus A. M. Hart and Mao Mao and Hans L. Peterse and Karin van der Kooy and Matthew John Marton and Anke T. Witteveen and George J. Schreiber and Ron M. Kerkhoven and Chris J. Roberts and Peter S. Linsley and René Bernards and Stephen H. Friend},
  journal={Nature},
  year={2002},
  volume={415},
  pages={530-536}
}
Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. [] Key Method Here we used DNA microarray analysis on primary breast tumours of 117 young patients, and applied supervised classification to identify a gene expression signature strongly predictive of a short interval to distant metastases (‘poor prognosis’ signature) in patients without tumour cells in local lymph nodes at diagnosis (lymph node negative).
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Preliminary evidence that incorporation of gene expression signatures into clinical risk stratification can refine prognosis is provided, to demonstrate the value in integrating genomic information with clinical and pathological risk factors and to improve therapeutic strategies for early stage breast cancer.
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In the subgroup of patients with high proliferation, Notch signalling pathway genes appear to be expressed at higher levels in patients who develop distant metastasis, indicating that proliferation has greater prognostic value than the expressions of either MammaPrint- or Oncotype-DX-related genes.
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Genomic Applications in Breast Carcinoma
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Gene Expression Profiling of Carcinoma Breast and its, Prognostic Signature: A Review
  • S. Agrawal
  • Medicine, Biology
    Academia Journal of Surgery
  • 2019
TLDR
An overview of the development and application of molecular assays as applied to breast cancer continues to be a work in progress and this approach is evolving quickly due to strong scientific pieces of evidence to become a standard of practice in the near future.
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