Prioritization of candidate cancer genes-an aid to oncogenomic studies


Autoria(s): Furney, Simon J.; Calvo Molinos, Borja; Larrañaga, Pedro; Lozano Alonso, José Antonio; López Bigas, Nuria
Data(s)

01/04/2014

01/04/2014

01/10/2008

Resumo

The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing these techniques are able to highlight panels of genes that are altered in cancer. However, these candidate cancer genes must then be scrutinized to reveal whether they contribute to oncogenesis or are coincidental and non-causative. We present a computational method for the prioritization of candidate (i) proto-oncogenes and (ii) tumour suppressor genes from oncogenomic experiments. We constructed computational classifiers using different combinations of sequence and functional data including sequence conservation, protein domains and interactions, and regulatory data. We found that these classifiers are able to distinguish between known cancer genes and other human genes. Furthermore, the classifiers also discriminate candidate cancer genes from a recent mutational screen from other human genes. We provide a web-based facility through which cancer biologists may access our results and we propose computational cancer gene classification as a useful method of prioritizing candidate cancer genes identified in oncogenomic studies.

Identificador

Nucleic acids research 36(18) : (2008) // e115

0305-1048

http://hdl.handle.net/10810/11905

10.1093/nar/gkn482

Idioma(s)

eng

Publicador

Oxford University Press

Relação

http://nar.oxfordjournals.org/content/36/18/e115

Direitos

© 2008 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

info:eu-repo/semantics/openAccess

Palavras-Chave #colorectal cancers #missense mutations #breast cancer #identification #profiles #database #transformation; #progression #metastasis #prediction
Tipo

info:eu-repo/semantics/article