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The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
Open accessAbstract
Renal cell carcinoma (RCC) is not a single disease, but several histologically defined cancers with different genetic drivers, clinical courses, and therapeutic responses. The current study evaluated 843 RCC from the three major histologic subtypes, including 488 clear cell RCC, 274 papillary RCC, and 81 chromophobe RCC. Comprehensive genomic and phenotypic analysis of the RCC subtypes reveals distinctive features of each subtype that provide the foundation for the development of subtype-specific therapeutic and management strategies for patients affected with these cancers. Somatic alteration of BAP1, PBRM1, and PTEN and altered metabolic pathways correlated with subtype-specific decreased survival, while CDKN2A alteration, increased DNA hypermethylation, and increases in the immune-related Th2 gene expression signature correlated with decreased survival within all major histologic subtypes. CIMP-RCC demonstrated an increased immune signature, and a uniform and distinct metabolic expression pattern identified a subset of metabolically divergent (MD) ChRCC that associated with extremely poor survival.
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- Ricketts, C. J., De Cubas, A. A., Fan, H., Smith, C. C., Lang, M., Reznik, E., Bowlby, R., Gibb, E. A., Akbani, R., Beroukhim, R., Bottaro, D. P., Choueiri, T. K., Gibbs, R. A., Godwin, A. K., Haake, S., Hakimi, A. A., Henske, E. P., Hsieh, J. J., Ho, T. H., Kanchi, R. S., Krishnan, B., Kwiatkowski, D. J., Liu, W., Merino, M. J., Mills, G. B., Myers, J., Nickerson, M. L., Reuter, V. E., Schmidt, L. S., Shelley, C. S., Shen, H., Shuch, B., Signoretti, S., Srinivasan, R., Tamboli, P., Thomas, G., Vincent, B. G., Vocke, C. D., Wheeler, D. A., Yang, L., Kim, W. Y., Robertson, A. G., Caesar-Johnson, S. J., Demchok, J. A., Felau, I., Kasapi, M., Ferguson, M. L., Hutter, C. M., Sofia, H. J., Tarnuzzer, R., Wang, Z., Yang, L., Zenklusen, J. C., Zhang, J. (., Chudamani, S., Liu, J., Lolla, L., Naresh, R., Pihl, T., Sun, Q., Wan, Y., Wu, Y., Cho, J., DeFreitas, T., Frazer, S., Gehlenborg, N., Getz, G., Heiman, D. I., Kim, J., Lawrence, M. S., Lin, P., Meier, S., Noble, M. 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- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 23
- Issue
- 1
- Pages
- 313-326.e5
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W4294358748
- Cited by
- 770
- References
- 62
- FWCI
- 54.95
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
- Funders
- Frederick National Laboratory for Cancer Research
- National Institutes of Health (HHSN261200800001E)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
