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Cited by 377

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The Pediatric Cancer Genome Project

Open access
Downing, James R, Wilson, Richard K, Zhang, Jinghui, Mardis, Elaine R, Pui, Ching-Hon, Ding, Li, Ley, Timothy J, Evans, William E·2012·Nature Genetics

Abstract

The St. Jude Children’s Research Hospital–Washington University Pediatric Cancer Genome Project (PCGP) is participating in the international effort to identify somatic mutations that drive cancer. These cancer genome sequencing efforts will not only yield an unparalleled view of the altered signaling pathways in cancer but should also identify new targets against which novel therapeutics can be developed. Although these projects are still deep in the phase of generating primary DNA sequence data, important results are emerging and valuable community resources are being generated that should catalyze future cancer research. We describe here the rationale for conducting the PCGP, present some of the early results of this project and discuss the major lessons learned and how these will affect the application of genomic sequencing in the clinic.

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Metadata

Authors
Downing, J. R., Wilson, R. K., Zhang, J., Mardis, E. R., Pui, C.-H., Ding, L., Ley, T. J., & Evans, W. E.
Venue
Nature Genetics
Published
2012-05-29
Volume
44
Issue
6
Pages
619-622
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W1973751980
Cited by
377
References
9
FWCI
27.78
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Pediatric Cancer Genome Project. https://app.cochat.ai/papers/10.1038/ng.2287
The paper
Downing, J. R., Wilson, R. K., Zhang, J., Mardis, E. R., Pui, C.-H., Ding, L., Ley, T. J., & Evans, W. E. (2012). The Pediatric Cancer Genome Project. Nature Genetics. https://doi.org/10.1038/ng.2287

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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.