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Dataset Information

Gene-expression signature functional annotation of breast cancer tumours in function of age.


ABSTRACT:

Background

Breast cancer biological characteristics change as age advances. Today, there is a lack of knowledge regarding age-specific molecular alterations that characterize breast tumours, notably in elderly patients. The vast majority of studies that aimed at exploring breast cancer in function of age are based on clinico-pathological data. Gene-expression signatures (GES), which in some ways capture biological information in a non-reductionist manner, represent powerful tools able to explore tumour heterogeneity.

Methods

Twenty-five GES were used for functional annotation of breast tumours in function of age: five for molecular subtyping, seven for immune response, three for metabolism, seven for critical pathways in cancer and three for prognosis. Affymetrix® genomics d

SUBMITTER: Jezequel P 

PROVIDER: S-EPMC4657228 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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