Transcriptomics

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Building Prognostic Models for Breast Cancer Patients Using Clinical Variables and Gene Expression Signatures


ABSTRACT: Our findings indicate that the integration of expression signatures and clinicopathological factors can better determine the individual risk of recurrence for newly diagnosed patients with lymph-node negative ER-positive breast cancer. Models incorporating other variables yet to be discovered will be needed to obtain robust prognostic models for ER-negative and HER2-positive breast cancer patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE15393 | GEO | 2010/10/25

SECONDARY ACCESSION(S): PRJNA117131

REPOSITORIES: GEO

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