The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Modeling Genomic Diversity and Tumor Dependency in Malignant Melanoma
Open accessAbstract
The classification of human tumors based on molecular criteria offers tremendous clinical potential; however, discerning critical and “druggable” effectors on a large scale will also require robust experimental models reflective of tumor genomic diversity. Here, we describe a comprehensive genomic analysis of 101 melanoma short-term cultures and cell lines. Using an analytic approach designed to enrich for putative “driver” events, we show that cultured melanoma cells encompass the spectrum of significant genomic alterations present in primary tumors. When annotated according to these lesions, melanomas cluster into subgroups suggestive of distinct oncogenic mechanisms. Integrating gene expression data suggests novel candidate effector genes linked to recurrent copy gains and losses, including both phosphatase and tensin homologue (PTEN)–dependent and PTEN-independent tumor suppressor mechanisms associated with chromosome 10 deletions. Finally, sample-matched pharmacologic data show that FGFR1 mutations and extracellular signal–regulated kinase (ERK) activation may modulate sensitivity to mitogen-activated protein kinase/ERK kinase inhibitors. Genetically defined cell culture collections therefore offer a rich framework for systematic functional studies in melanoma and other tumors. [Cancer Res 2008;68(3):664–73]
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Self-citationEfficacy and safety of imatinib mesylate in advanced gastrointestinal stromal tumors
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Self-citationThe landscape of somatic copy-number alteration across human cancers
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Hodis, E., Watson, I. R., Kryukov, G. V., Arold, S. T., Imielinski, M., Theurillat, J.-P., Nickerson, E., Auclair, D., Li, L., Place, C., et al. (2012) · Cell · doi:10.1016/j.cell.2012.06.024 · Cited by 2,610
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Metadata
- Authors
- Lin, W. M., Baker, A. C., Beroukhim, R., Winckler, W., Feng, W., Marmion, J. M., Laine, E., Greulich, H., Tseng, H., Gates, C., Hodi, F. S., Dranoff, G., Sellers, W. R., Thomas, R. K., Meyerson, M., Golub, T. R., Dummer, R., Herlyn, M., Getz, G., & Garraway, L. A.
- Venue
- Cancer Research
- Published
- 2008-02-01
- Volume
- 68
- Issue
- 3
- Pages
- 664-673
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2110466396
- Cited by
- 297
- References
- 9
- FWCI
- 10.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lin, W. M., Baker, A. C., Beroukhim, R., Winckler, W., Feng, W., Marmion, J. M., Laine, E., Greulich, H., Tseng, H., Gates, C., Hodi, F. S., Dranoff, G., Sellers, W. R., Thomas, R. K., Meyerson, M., Golub, T. R., Dummer, R., Herlyn, M., Getz, G., & Garraway, L. A. (2008). Modeling Genomic Diversity and Tumor Dependency in Malignant Melanoma. Cancer Research. https://doi.org/10.1158/0008-5472.can-07-2615
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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.
