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Transcription profiling of human malignant or benign breast cancer tumors to identify genes that present a differential expression between the two types of lesion


ABSTRACT: Background. Although gene expression arrays have been used to generate molecular predictors of relapse and drug sensitivity in breast cancer, no large study describes genes and exons differentially expressed between breast cancer and benign lesions.

Methods. One hundred and sixty-five tumour samples were obtained by fine needle aspiration (FNA). cDNA were hybridized on Splice ArrayTM. A nearest centroid prediction rule was developed to classify lesions as malignant or benign on a training set, and its performance evaluated on an independent validation set. A two-way ANOVA model was used to identify probesets that present a differential expression between cancer and benign lesions while adjusting for scan dates. P-values were adjusted for False Discovery Rate.

Findings. Overa

ORGANISM(S): Homo sapiens

SUBMITTER: Dessen Philippe 

PROVIDER: S-ECPF-TABM-609 | biostudies-other |

REPOSITORIES: biostudies-other

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