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Published on: August 27, 2019
The rapamycin-regulated gene expression signature determines prognosis for breast cancer
Argun Akcakanat1, Li Zhang, Spiridon Tsavachidis
1Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA. aakcakanat@mdanderson.org
Background:
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 or 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 < 1 nM) 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 did not correlate with tumor size or lymph node status. High (>75th 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 = 0.001) were prognostic. In van 't Veer study, RMI was not associated with the time to develop distant metastasis (P = 0.41). In the Wang dataset, RMI predicted time to disease relapse (P = 0.009).
Conclusion:
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.
Insights
A new gene expression signature, the rapamycin metagene index (RMI), predicts breast cancer patient survival. This finding supports targeting the mammalian target of rapamycin (mTOR) pathway for effective breast cancer treatments.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Mammalian target of rapamycin (mTOR) is a key kinase in pathways driving tumor growth.
- Aberrant mTOR activation is common in breast cancer, making it a therapeutic target.
- Rapamycin and analogues are under investigation for breast cancer treatment.
Purpose of the Study:
- To investigate if a rapamycin-regulated gene expression signature can predict breast cancer patient outcomes.
- To identify a gene signature associated with rapamycin treatment effects.
Main Methods:
- Utilized cell line (MDA-MB-468) sensitivity assays and xenograft models for rapamycin treatment.
- Compared in vitro and in vivo gene expression data to identify a rapamycin-regulated signature (RMI).
- Analyzed RMI in independent patient datasets (Miller, van 't Veer, Wang) for correlation with clinical outcomes.
Main Results:
- Identified a 31-gene signature (RMI) upregulated by rapamycin in vitro and in vivo.
- High RMI correlated significantly with longer survival in the Miller dataset (P = 0.015).
- RMI was an independent prognostic factor for survival (P = 0.029) and predicted disease relapse in the Wang dataset (P = 0.009).
Conclusions:
- A rapamycin-regulated gene expression signature (RMI) effectively predicts clinical outcomes in breast cancer.
- These findings reinforce the importance of mTOR signaling in breast cancer.
- The study provides further rationale for developing mTOR-targeted therapies for breast cancer.
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