Systematic Bias in Genomic Classification Due to Contaminating Normal Tissue in Breast Tumor Samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Melissa Troester
PROVIDER: E-GEOD-22384 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples.
Elloumi Fathi F Hu Zhiyuan Z Li Yan Y Parker Joel S JS Gulley Margaret L ML Amos Keith D KD Troester Melissa A MA
BMC medical genomics 20110630
<h4>Background</h4>Genomic tests are available to predict breast cancer recurrence and to guide clinical decision making. These predictors provide recurrence risk scores along with a measure of uncertainty, usually a confidence interval. The confidence interval conveys random error and not systematic bias. Standard tumor sampling methods make this problematic, as it is common to have a substantial proportion (typically 30-50%) of a tumor sample comprised of histologically benign tissue. This "no ...[more]
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