The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
N-Myc Induces an EZH2-Mediated Transcriptional Program Driving Neuroendocrine Prostate Cancer
Open accessAbstract
Summary The transition from castration resistant prostate adenocarcinoma (CRPC) to neuroendocrine prostate cancer (NEPC) has emerged as an important mechanism of treatment resistance. NEPC is associated with over-expression and gene amplification of MYCN (encoding N-Myc). N-Myc is an established oncogene in several rare pediatric tumors, but its role in prostate cancer progression is not well established. Integrating a genetically engineered mouse model and human prostate cancer transcriptome data, we show that N-Myc over-expression leads to the development of poorly differentiated, invasive prostate cancer that is molecularly similar to human NEPC. This includes an abrogation of AR signaling and induction of Polycomb Repressive Complex 2 signaling. Altogether, our data establishes N-Myc as an oncogenic driver of NEPC.
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Integrative Clinical Genomics of Advanced Prostate Cancer
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Self-citationThe Molecular Taxonomy of Primary Prostate Cancer
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Self-citationDivergent clonal evolution of castration-resistant neuroendocrine prostate cancer
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Self-citationOrganoid Cultures Derived from Patients with Advanced Prostate Cancer
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Self-citationMolecular Characterization of Neuroendocrine Prostate Cancer and Identification of New Drug Targets
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Self-citationEZH2 Oncogenic Activity in Castration-Resistant Prostate Cancer Cells Is Polycomb-Independent
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MYC inactivation uncovers pluripotent differentiation and tumour dormancy in hepatocellular cancer
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Identification of Multipotent Luminal Progenitor Cells in Human Prostate Organoid Cultures
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Cited by
Aggarwal, R., Huang, J., Alumkal, J. J., Zhang, L., Feng, F. Y., Thomas, G. V., Weinstein, A. S., Friedl, V., Zhang, C., Witte, O. N., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.6880 · Cited by 810
Self-citationLineage plasticity in cancer: a shared pathway of therapeutic resistance
Quintanal-Villalonga, Á., Chan, J. M., Yu, H. A., Pe’er, D., Sawyers, C. L., Sen, T., & Rudin, C. M. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0340-z · Cited by 572
Cellular plasticity and the neuroendocrine phenotype in prostate cancer
Davies, A. H., Beltran, H., & Zoubeidi, A. (2018) · Nature Reviews Urology · doi:10.1038/nrurol.2018.22 · Cited by 431
Hwang, W. L., Jagadeesh, K. A., Guo, J. A., Hoffman, H. I., Yadollahpour, P., Reeves, J. W., Mohan, R., Drokhlyansky, E., Van Wittenberghe, N., Ashenberg, O., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01134-8 · Cited by 426
Zou, M., Toivanen, R., Mitrofanova, A., Floch, N., Hayati, S., Sun, Y., Le Magnen, C., Chester, D., Mostaghel, E. A., Califano, A., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1174 · Cited by 386
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Metadata
- Authors
- Dardenne, E., Beltran, H., Benelli, M., Gayvert, K., Berger, A., Puca, L., Cyrta, J., Sboner, A., Noorzad, Z., MacDonald, T., Cheung, C., Yuen, K. S., Gao, D., Chen, Y., Eilers, M., Mosquera, J.-M., Robinson, B. D., Elemento, O., Rubin, M. A., Demichelis, F., & Rickman, D. S.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 30
- Issue
- 4
- Pages
- 563-577
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2530065228
- Cited by
- 559
- References
- 45
- FWCI
- 34.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Dardenne, E., Beltran, H., Benelli, M., Gayvert, K., Berger, A., Puca, L., Cyrta, J., Sboner, A., Noorzad, Z., MacDonald, T., Cheung, C., Yuen, K. S., Gao, D., Chen, Y., Eilers, M., Mosquera, J.-M., Robinson, B. D., Elemento, O., Rubin, M. A., . . . Rickman, D. S. (2016). N-Myc Induces an EZH2-Mediated Transcriptional Program Driving Neuroendocrine Prostate Cancer. Cancer Cell. https://doi.org/10.1016/j.ccell.2016.09.005
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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.
