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Intratumor Heterogeneity and Precision of Microarray-Based Predictors of Breast Cancer Biology and Clinical Outcome

ABSTRACT: Genome-wide expression profiling was performed on 50 core needle biopsies from 18 breast cancer patients using Affymetrix GeneChip Human Genome Plus 2.0 Arrays. Global profiles of expression were characterized using unsupervised clustering methods and variance components models. Precision of predictors of breast cancer biology and clinical outcome were evaluated by interclass correlation.

ORGANISM(S): Homo sapiens

SUBMITTER: Dawn Kernagis 

PROVIDER: E-GEOD-23593 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Intratumor heterogeneity and precision of microarray-based predictors of breast cancer biology and clinical outcome.

Barry William T WT   Kernagis Dawn N DN   Dressman Holly K HK   Griffis Ryan J RJ   Hunter J'vonne D JD   Olson John A JA   Marks Jeff R JR   Ginsburg Geoffrey S GS   Marcom Paul K PK   Nevins Joseph R JR   Geradts Joseph J   Datto Michael B MB  

Journal of clinical oncology : official journal of the American Society of Clinical Oncology 20100405 13

<h4>Purpose</h4>Identifying sources of variation in expression microarray data and the effect of variance in gene expression measurements on complex predictive and diagnostic models is essential when translating microarray-based experimental approaches into clinical assays. The technical reproducibility of microarray platforms is well established. Here, we investigate the additional impact of intratumor heterogeneity, a largely unstudied component of variance, on the performance of several micro  ...[more]

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