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Transcription profiling of human breast cancer samples to discover and validate breast cancer subtypes

ABSTRACT: Background Previous studies demonstrated breast cancer tumor tissue samples could be classified into different subtypes based upon DNA microarray profiles. The most recent study presented evidence for the existence of five different subtypes: normal breast-like, basal, luminal A, luminal B, and ERBB2+. Results Based upon the analysis of 599 microarrays (five separate cDNA microarray datasets) using a novel approach, we present evidence in support of the most consistently identifiable subtypes of breast cancer tumor tissue microarrays being: ESR1+/ERBB2-, ESR1-/ERBB2-, and ERBB2+ (collectively called the ESR1/ERBB2 subtypes). We validate all three subtypes statistically and show the subtype to which a sample belongs is a significant predictor of overall survival and distant-metastasis free probability. Conclusion As a consequence of the statistical validation procedure we have a set of centroids which can be applied to any microarray (indexed by UniGene Cluster ID) to classify it to one of the ESR1/ERBB2 subtypes. Moreover, the method used to define the ESR1/ERBB2 subtypes is not specific to the disease. The method can be used to identify subtypes in any disease for which there are at least two independent microarray datasets of disease samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Kapp AV

PROVIDER: S-ECPF-SMDB-3831 | biostudies-other | 2006

REPOSITORIES: biostudies-other

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Transcription profiling of human breast cancer samples to discover and validate breast cancer subtypes

Project description:Background Previous studies demonstrated breast cancer tumor tissue samples could be classified into different subtypes based upon DNA microarray profiles. The most recent study presented evidence for the existence of five different subtypes: normal breast-like, basal, luminal A, luminal B, and ERBB2+. Results Based upon the analysis of 599 microarrays (five separate cDNA microarray datasets) using a novel approach, we present evidence in support of the most consistently identifiable subtypes of breast cancer tumor tissue microarrays being: ESR1+/ERBB2-, ESR1-/ERBB2-, and ERBB2+ (collectively called the ESR1/ERBB2 subtypes). We validate all three subtypes statistically and show the subtype to which a sample belongs is a significant predictor of overall survival and distant-metastasis free probability. Conclusion As a consequence of the statistical validation procedure we have a set of centroids which can be applied to any microarray (indexed by UniGene Cluster ID) to classify it to one of the ESR1/ERBB2 subtypes. Moreover, the method used to define the ESR1/ERBB2 subtypes is not specific to the disease. The method can be used to identify subtypes in any disease for which there are at least two independent microarray datasets of disease samples.

| S-ECPF-SMDB-3830 | biostudies-other

Transcription profiling of human breast cancer samples to discover and validate breast cancer subtypes

2007-01-05 | E-SMDB-3830 | biostudies-arrayexpress

Transcription profiling of human breast cancer samples to discover and validate breast cancer subtypes

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Transcription profiling of breast cancer tumor samples to identify subtypes

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Transcription profiling of human node-negative breast cancer samples to validate a 70 gene prognostic signature

Project description:A 70-gene signature has been shown in a single institution to have prognostic value in patients with node-negative breast cancer. The purpose of the present study was to validate the signature in independent patient samples.

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Transcription profiling of human breast cancer samples

Project description:We measured baseline gene expression profiles for a set of breast tumors. Note: this experiment was modified in June 2008 when the CEL files associated with some hybridizations were changed.

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Transcription profiling of human pre-malignant breast cancer samples

Project description:Enlargement of normal terminal duct lobular units (TDLUs) by hyperplastic columnar epithelial cells is one of the most common abnormalities of growth in the adult female human breast. These hyperplastic enlarged lobular units (HELUs) are important clinically as the earliest histologically identifiable potential precursor of breast cancer. The causes of the hyperplasia are unknown but may include estrogen-simulated growth mediated by estrogen receptor alpha, which is highly elevated in HELUs and may be fundamental to their development. This study used DNA microarray technology and RNA from microdissected pure epithelial cells to learn more about changes in gene expression and molecular pathways associated with the development of HELUs from TDLUs Experiment Overall Design: Samples for the microarray studies were derived from 8 formalin-fixed paraffin-embedded tissue (FFPET) biopsies containing paired normal TDLUs and well-developed HELUs from non-cancerous adult female human breasts obtained within the past 3 years. Populations of nearly pure (>95%) epithelial cells were isolated from the TDLUs and HELUs in each biopsy (approximately 25,000 cells/sample) by laser capture microdissection (LCM)

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Transcription profiling of human breast cancer samples - relapse free survival

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Transcription profiling by array of 17 human breast cancer samples

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