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Prognostic signatures in breast cancer: correlation does not imply causation

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Date
2012
ICR Author
Reis-Filho, Jorge Sergio
Author
Reis-Filho, J
Type
Journal Article
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Abstract
Testing the statistical associations between microarray-based gene expression signatures and patient outcome has become a popular approach to infer biological and clinical significance of laboratory observations. Venet and colleagues recently demonstrated that the majority of randomly generated gene signatures are significantly associated with outcome of breast cancer patients, and that this association stems from the fact that a large proportion of the transcriptome is significantly correlated with proliferation, a strong predictor of outcome in breast cancer patients. These findings demonstrate that a statistical association between a gene signature and disease outcome does not necessarily imply biological significance.
URI
https://repository.icr.ac.uk/handle/internal/2314
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  • Closed Research Teams
Subject
molecular portraits classification prediction tumors
Research team
Molecular Pathology
Language
eng
License start date
2012
Citation
BREAST CANCER RESEARCH, 2012, 14 (3)

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