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| Content Provider | PubMed Central |
|---|---|
| Author | Sébastien, Jeay Swann, Gaulis Ferretti, Stéphane Bitter, Hans Ito, Moriko Valat, Thérèse Murakami, Masato Ruetz, Stephan Guthy, Daniel A. Rynn, Caroline Jensen, Michael R. Wiesmann, Marion Kallen, Joerg Furet, Pascal François, Gessier Holzer, Philipp Masuya, Keiichi Jens, Würthner Halilovic, Ensar Hofmann, Francesco Sellers, William R. Porta, Diana Graus |
| Editor | Espinosa, Joaquin M. |
| Copyright Year | 2015 |
| Abstract | Biomarkers for patient selection are essential for the successful and rapid development of emerging targeted anti-cancer therapeutics. In this study, we report the discovery of a novel patient selection strategy for the p53–HDM2 inhibitor NVP-CGM097, currently under evaluation in clinical trials. By intersecting high-throughput cell line sensitivity data with genomic data, we have identified a gene expression signature consisting of 13 up-regulated genes that predicts for sensitivity to NVP-CGM097 in both cell lines and in patient-derived tumor xenograft models. Interestingly, these 13 genes are known p53 downstream target genes, suggesting that the identified gene signature reflects the presence of at least a partially activated p53 pathway in NVP-CGM097-sensitive tumors. Together, our findings provide evidence for the use of this newly identified predictive gene signature to refine the selection of patients with wild-type p53 tumors and increase the likelihood of response to treatment with p53–HDM2 inhibitors, such as NVP-CGM097. |
| Related Links | http://dx.doi.org/10.7554/eLife.06498 |
| Starting Page | 6498 |
| File Format | |
| ISSN | 2050084X |
| e-ISSN | 2050084X |
| Journal | eLife |
| Volume Number | 4 |
| Language | English |
| Publisher | eLife Sciences Publications, Ltd |
| Publisher Date | 2015-05-12 |
| Access Restriction | Open |
| Rights Holder | eLife Sciences Publications, Ltd |
| Subject Keyword | Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neuroscience Immunology and Microbiology Medicine Biochemistry, Genetics and Molecular Biology |
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