The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Gene expression-based chemical genomics identifies rapamycin as a modulator of MCL1 and glucocorticoid resistance
Open accessAbstract
Drug resistance remains a major obstacle to successful cancer treatment. A database of drug-associated gene expression profiles was screened for molecules whose profile overlapped with a gene expression signature of glucocorticoid (GC) sensitivity/resistance in acute lymphoblastic leukemia (ALL) cells. The screen indicated that the mTOR inhibitor rapamycin profile matched the signature of GC sensitivity. We tested the hypothesis that rapamycin would induce GC sensitivity in lymphoid malignancy cells and found that it sensitized to GC-induced apoptosis via modulation of antiapoptotic MCL1. These data indicate that MCL1 is an important regulator of GC-induced apoptosis and that the combination of rapamycin and glucocorticoids has potential utility in lymphoid malignancies. Furthermore, this approach represents a strategy for identification of promising combination therapies for cancer.
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Metadata
- Authors
- Wei, G., Twomey, D., Lamb, J., Schlis, K., Agarwal, J., Stam, R. W., Opferman, J. T., Sallan, S. E., den Boer, M. L., Pieters, R., Golub, T. R., & Armstrong, S. A.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 10
- Issue
- 4
- Pages
- 331-342
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W1988377311
- Cited by
- 509
- References
- 12
- FWCI
- 34.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wei, G., Twomey, D., Lamb, J., Schlis, K., Agarwal, J., Stam, R. W., Opferman, J. T., Sallan, S. E., den Boer, M. L., Pieters, R., Golub, T. R., & Armstrong, S. A. (2006). Gene expression-based chemical genomics identifies rapamycin as a modulator of MCL1 and glucocorticoid resistance. Cancer Cell. https://doi.org/10.1016/j.ccr.2006.09.006
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
