Unknown

Dataset Information

0

Estrogen independent gene expression defines clinically relevant subgroups of estrogen receptor positive breast cancer.


ABSTRACT: BACKGROUND: Human breast cancer represents a significantly heterogeneous disease. Global gene expression profiling measurements have been used to classify tumors into multiple molecular subtypes. The capacity to define subtypes of breast tumors provides a framework to enable improved understanding of the mechanisms of breast oncogenesis, as well as to provide opportunities for improved therapeutic intervention in patients. METHODS: We used publicly available gene expression profiling data to identify 'estrogen independent' genes in estrogen receptor alpha (ER+) breast tumors, and subsequently identified 6 subgroups of ER+breast tumors. RESULTS: Each of the 6 identified subgroups exhibited distinct clinical behaviors and biology. Patients whose tumors comprised subgroups 2,5&6 experienced excellent long-term survival, whereas those patients whose tumors belonged to subgroups 1&4 experienced much poorer survival. Breast tumor cell lines representative of the different subgroups responded to therapeutic compounds in accordance with their subgroup classification. CONCLUSIONS: These data support the existence of 6 distinct subgroups of ER+breast cancer and suggest that knowledge of the ER+subgroup status of patient samples have the potential to guide therapy choice.

SUBMITTER: Hallett RM 

PROVIDER: S-EPMC4289221 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

altmetric image

Publications

Estrogen independent gene expression defines clinically relevant subgroups of estrogen receptor positive breast cancer.

Hallett Robin M RM   Hassell John A JA  

BMC cancer 20141124


<h4>Background</h4>Human breast cancer represents a significantly heterogeneous disease. Global gene expression profiling measurements have been used to classify tumors into multiple molecular subtypes. The capacity to define subtypes of breast tumors provides a framework to enable improved understanding of the mechanisms of breast oncogenesis, as well as to provide opportunities for improved therapeutic intervention in patients.<h4>Methods</h4>We used publicly available gene expression profilin  ...[more]

Similar Datasets

| S-EPMC8004645 | biostudies-literature
| S-EPMC6923975 | biostudies-literature
| S-EPMC4627604 | biostudies-literature
| S-EPMC8028106 | biostudies-literature
| S-EPMC4965271 | biostudies-literature
| S-EPMC3783308 | biostudies-literature
| S-EPMC5356693 | biostudies-literature
2011-06-11 | GSE29883 | GEO
2011-06-11 | E-GEOD-29883 | biostudies-arrayexpress
| S-EPMC3059257 | biostudies-literature