Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Microarray-based molecular subtyping of breast cancer

ABSTRACT: The primary goal of this study is to identify molecular subtypes of breast cancer through gene expression profiles of 327 breast cancer samples and determine molecular and clinical characteristics of different breast cancer subtypes. We studied expression signatures of different cellular functions (e.g., cell proliferation/cell cycle, wound response, tumor stromal response, vascular endothelial normalization, drug esponse genes, etc.) in different breast cancer molecular subtypes and investigated how microarray-based breast cancer molecular subtypes may be used to guide treatment. Gene expression profiles of 327 breast cancer samples were determined using total RNA and Affymetrix U133 plus 2.0 arrays.

ORGANISM(S): Homo sapiens

SUBMITTER: K.J. Kao

PROVIDER: E-GEOD-20685 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Correlation of microarray-based breast cancer molecular subtypes and clinical outcomes: implications for treatment optimization.

Kao Kuo-Jang KJ Chang Kai-Ming KM Hsu Hui-Chi HC Huang Andrew T AT

BMC cancer 20110418

<h4>Background</h4>Optimizing treatment through microarray-based molecular subtyping is a promising method to address the problem of heterogeneity in breast cancer; however, current application is restricted to prediction of distant recurrence risk. This study investigated whether breast cancer molecular subtyping according to its global intrinsic biology could be used for treatment customization.<h4>Methods</h4>Gene expression profiling was conducted on fresh frozen breast cancer tissue collect ...[more]

PMID: 21501481

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Dataset Information

Microarray-based molecular subtyping of breast cancer

Publications

Correlation of microarray-based breast cancer molecular subtypes and clinical outcomes: implications for treatment optimization.

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