Transcriptomics

Dataset Information

0

Active estrogen receptor-alpha signaling in ovarian cancer


ABSTRACT: High-grade serous ovarian cancer (HGSOC) is an aggressive disease with few available targeted therapies. Despite high expression of estrogen receptor-alpha (ER) in ~80% of HGSOC and some small but promising clinical trials of endocrine therapy, ER has been understudied as a target in this disease. Results: Proliferation is ER-regulated in HGSOC cells in vitro and in vivo, and is in part dependent on 3-D context. Transcriptomic studies identified genes shared by cell lines and PDX explants as ER targets. The selective ER down-regulator (SERD) fulvestrant is more effective than tamoxifen in blocking ER action. ER H-score was predictive of efficacy of endocrine therapy, and this prediction could be further improved by inclusion of target gene expression, especially that of IGFBP3. Conclusion: Laboratory models corroborate intertumor heterogeneity of endocrine response in HGSOC but identify features associated with functional ER and endocrine responsiveness. Assessing ER function (e.g. IGFBP3 expression) in conjunction with ERH-score may help select patients who would benefit from endocrine therapy. Our preclinical data suggest that SERDs might be more effective than tamoxifen.

ORGANISM(S): Homo sapiens

PROVIDER: GSE81612 | GEO | 2017/05/15

SECONDARY ACCESSION(S): PRJNA322076

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2020-02-14 | GSE142479 | GEO
2023-09-11 | E-MTAB-13139 | biostudies-arrayexpress
2023-09-11 | E-MTAB-13113 | biostudies-arrayexpress
2023-09-13 | GSE217190 | GEO
2020-11-17 | GSE148878 | GEO
2014-01-16 | GSE50694 | GEO
2014-01-16 | GSE50693 | GEO
2019-07-25 | GSE117941 | GEO
2014-01-16 | E-GEOD-50694 | biostudies-arrayexpress
2014-01-16 | E-GEOD-50693 | biostudies-arrayexpress