The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Multilevel Genomics-Based Taxonomy of Renal Cell Carcinoma
Open accessAbstract
On the basis of multidimensional and comprehensive molecular characterization (including DNA methalylation and copy number, RNA, and protein expression), we classified 894 renal cell carcinomas (RCCs) of various histologic types into nine major genomic subtypes. Site of origin within the nephron was one major determinant in the classification, reflecting differences among clear cell, chromophobe, and papillary RCC. Widespread molecular changes associated with TFE3 gene fusion or chromatin modifier genes were present within a specific subtype and spanned multiple subtypes. Differences in patient survival and in alteration of specific pathways (including hypoxia, metabolism, MAP kinase, NRF2-ARE, Hippo, immune checkpoint, and PI3K/AKT/mTOR) could further distinguish the subtypes. Immune checkpoint markers and molecular signatures of T cell infiltrates were both highest in the subtype associated with aggressive clear cell RCC. Differences between the genomic subtypes suggest that therapeutic strategies could be tailored to each RCC disease subset.
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Citations
Cites
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
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“RCC can demonstrate significant regional genomic heterogeneity (Gerlinger et al., 2012), which may influence the aggregate molecular patterns in our study, including the observed genomic subtypes with patterns intermediate between two distinct subtypes (e.”
BackgroundNivolumab versus Everolimus in Advanced Renal-Cell Carcinoma
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Self-citationConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
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Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer
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Self-citationComprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma
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Cited by
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Self-citationThe Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
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Self-citationIntegrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
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Self-citationBEZ235: When Promising Science Meets Clinical Reality
Pongas, G., & Fojo, T. (2016) · The Oncologist · doi:10.1634/theoncologist.2016-0243 · Cited by 43
Metadata
- Authors
- Chen, F., Zhang, Y., Şenbabaoğlu, Y., Ciriello, G., Yang, L., Reznik, E., Shuch, B., Micevic, G., De Velasco, G., Shinbrot, E., Noble, M. S., Lu, Y., Covington, K. R., Xi, L., Drummond, J. A., Muzny, D., Kang, H., Lee, J., Tamboli, P., Reuter, V., Shelley, C. S., Kaipparettu, B. A., Bottaro, D. P., Godwin, A. K., Gibbs, R. A., Getz, G., Kucherlapati, R., Park, P. J., Sander, C., Henske, E. P., Zhou, J. H., Kwiatkowski, D. J., Ho, T. H., Choueiri, T. K., Hsieh, J. J., Akbani, R., Mills, G. B., Hakimi, A. A., Wheeler, D. A., & Creighton, C. J.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 14
- Issue
- 10
- Pages
- 2476-2489
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2288944226
- Cited by
- 359
- References
- 33
- FWCI
- 36.81
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
