The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Emerging landscape of oncogenic signatures across human cancers
Open accessAbstract
Chris Sander and colleagues have extracted significant functional events from 12 tumor types. Tumors can be classified as being driven largely by either mutation or copy number changes, and, within this division, subclasses of cross-tissue patterns of events are discerned that suggest sets of combinatorial therapies. Cancer therapy is challenged by the diversity of molecular implementations of oncogenic processes and by the resulting variation in therapeutic responses. Projects such as The Cancer Genome Atlas (TCGA) provide molecular tumor maps in unprecedented detail. The interpretation of these maps remains a major challenge. Here we distilled thousands of genetic and epigenetic features altered in cancers to ∼500 selected functional events (SFEs). Using this simplified description, we derived a hierarchical classification of 3,299 TCGA tumors from 12 cancer types. The top classes are dominated by either mutations (M class) or copy number changes (C class). This distinction is clearest at the extremes of genomic instability, indicating the presence of different oncogenic processes. The full hierarchy shows functional event patterns characteristic of multiple cross-tissue groups of tumors, termed oncogenic signature classes. Targetable functional events in a tumor class are suggestive of class-specific combination therapy. These results may assist in the definition of clinical trials to match actionable oncogenic signatures with personalized therapies.
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Self-citationModularity and community structure in networks
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The Cancer Genome Atlas Network (2015) · Nature · doi:10.1038/nature14129 · Cited by 3,877
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Self-citationOncogenic Signaling Pathways in The Cancer Genome Atlas
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“The existence of shared genomic features across histologies has been highlighted by several studies (Ciriello et al., 2013; Hoadley et al., 2014, 2018), but these studies traditionally used a gene-centric, as opposed to pathway-centric, approach.”
BackgroundSelf-citationPan-cancer analysis of whole genomes
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature · doi:10.1038/s41586-020-1969-6 · Cited by 3,064
Self-citationComprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
The Cancer Genome Atlas Research Network (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1402121 · Cited by 3,148
Metadata
- Authors
- Ciriello, G., Miller, M. L., Aksoy, B. A., Senbabaoglu, Y., Schultz, N., & Sander, C.
- Venue
- Nature Genetics
- Published
- 2013-09-26
- Volume
- 45
- Issue
- 10
- Pages
- 1127-1133
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2108643617
- Cited by
- 1,378
- References
- 34
- FWCI
- 42.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ciriello, G., Miller, M. L., Aksoy, B. A., Senbabaoglu, Y., Schultz, N., & Sander, C. (2013). Emerging landscape of oncogenic signatures across human cancers. Nature Genetics. https://doi.org/10.1038/ng.2762
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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.
