The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.
Driver and Passenger Mutations in Cancer
Open accessAbstract
Next-generation sequencing has allowed identification of millions of somatic mutations and epigenetic changes in cancer cells. A key challenge in interpreting cancer genomes and epigenomes is distinguishing which genetic and epigenetic changes are drivers of cancer development. Frequency-based and function-based approaches have been developed to identify candidate drivers; we discuss the advantages and drawbacks of these methods as well as their latest refinements. We focus particularly on identification of the types of drivers most likely to be missed, such as genes affected by copy number alterations, mutations in noncoding regions, dysregulation of microRNA, epigenetic changes, and mutations in chromatin modifiers.
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Cites
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Metadata
- Authors
- Pon, J. R., & Marra, M. A.
- Venue
- Annual Review of Pathology: Mechanisms of Disease
- Publisher
- Annual Reviews
- Published
- 2015-01-24
- Volume
- 10
- Issue
- 1
- Pages
- 25-50
- ISSN
- 1553-4006 (ISSN-L)
- 1553-4014
- OpenAlex
- W2097113581
- Cited by
- 355
- References
- 194
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Pon, J. R., & Marra, M. A. (2015). Driver and Passenger Mutations in Cancer. Annual Review of Pathology: Mechanisms of Disease. https://doi.org/10.1146/annurev-pathol-012414-040312
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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.
