Gene expression predictors of breast cancer outcomes
The LancetPublished 1 May 2003
Erich Huang, Skye Hung‐Chun Cheng, Holly K. Dressman, Jennifer Pittman, Mei Hua Tsou, Cheng Fang Horng
Citations629
SJR quartileQ1
SJR score12.11
SNIP22.72
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TL;DR
Multiple aggregate measures of profiles of gene expression define valuable predictive associations with lymph node metastasis and disease recurrence for individual patients, and are capable of predicting outcomes in individual patients with about 90% accuracy.
Abstract
Multiple aggregate measures of profiles of gene expression define valuable predictive associations with lymph node metastasis and disease recurrence for individual patients. Gene expression data have the potential to aid accurate, individualised, prognosis. Importantly, these data are assessed in terms of precise numerical predictions, with ranges of probabilities of outcome. Precise and statistically valid assessments of risks specific for patients, will ultimately be of most value to clinicians faced with treatment decisions.
Keywords
Biochemistry, Genetics and Molecular Biology
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