Genomics

Dataset Information

0

Rapamycin treatment of MDA-MB-468 breast cancer cell line and MDA-MB-468 xenografts


ABSTRACT: Mammalian target of rapamycin (mTOR) is a serine/threonine kinase involved in multiple intracellular signaling pathways promoting tumor growth. mTOR is aberrantly activated in a significant portion of breast cancers and is a promising target for treatment. Rapamycin and its analogues are in clinical trials for breast cancer treatment. Patterns of gene expression (metagenes) may also be used to simulate a biologic process of effects of a drug treatment. In this study, we tested the hypothesis that the gene-expression signature regulated by rapamycin could predict disease outcome for patients with breast cancer. Results: Colony formation and sulforhodamine B (IC50 < 1nM) assays, and xenograft animals showed that MDA-MB-468 cells were sensitive to treatment with rapamycin. The comparison of in vitro and in vivo gene expression data identified a signature, termed rapamycin metagene index (RMI), of 31 genes upregulated by rapamycin treatment in vitro as well as in vivo (false discovery rate of 10%). In the Miller dataset, RMI was significantly associated with tumor size or lymph node status. High (>75) percentile) RMI was significantly associated with longer survival (P = 0.015). On multivariate analysis, RMI (P = 0.029), tumor size (P = 0.015) and lymph node status (P = 0.01) were prognostic. In van 't Veer study, RMI was not associated with the time to develop distant metastasis (P = 0.41). In Wang dataset, RMI predicted time to disease relapse (P = 0.09). Conclusions: Rapamycin-regulated gene expression signature predicts clinical outcome in breast cancer. This supports the central role of mTOR signaling in breast cancer biology and provides further impetus to pursue mTOR-targeted therapies for breast cancer treatment. Mol Cancer. 2009 Sep 24;8(1):75.

ORGANISM(S): Homo sapiens

PROVIDER: GSE18571 | GEO | 2009/11/20

SECONDARY ACCESSION(S): PRJNA120271

REPOSITORIES: GEO

Similar Datasets

2009-12-02 | E-GEOD-18571 | biostudies-arrayexpress
2014-06-30 | E-MTAB-2110 | biostudies-arrayexpress
2023-12-13 | GSE235165 | GEO
2017-11-06 | GSE103426 | GEO
2017-11-06 | GSE103425 | GEO
| S-ECPF-GEOD-49322 | biostudies-other
| S-ECPF-MTAB-2119 | biostudies-other
2017-06-02 | E-MTAB-5398 | biostudies-arrayexpress
2017-06-02 | E-MTAB-5397 | biostudies-arrayexpress