Extracting consistent knowledge from highly inconsistent cancer gene data sources

Xue Gong, Ruihong Wu, Yuannv Zhang, Wenyuan Zhao, Lixin Cheng, Yunyan Gu, Lin Zhang, Jing Wang, Jing Zhu, Zheng Guo

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

Background: Hundreds of genes that are causally implicated in oncogenesis have been found and collected in various databases. For efficient application of these abundant but diverse data sources, it is of fundamental importance to evaluate their consistency.Results: First, we showed that the lists of cancer genes from some major data sources were highly inconsistent in terms of overlapping genes. In particular, most cancer genes accumulated in previous small-scale studies could not be rediscovered in current high-throughput genome screening studies. Then, based on a metric proposed in this study, we showed that most cancer gene lists from different data sources were highly functionally consistent. Finally, we extracted functionally consistent cancer genes from various data sources and collected them in our database F-Census.Conclusions: Although they have very low gene overlapping, most cancer gene data sources are highly consistent at the functional level, which indicates that they can separately capture partial genes in a few key pathways associated with cancer. Our results suggest that the sample sizes currently used for cancer studies might be inadequate for consistently capturing individual cancer genes, but could be sufficient for finding a number of cancer genes that could represent functionally most cancer genes. The F-Census database provides biologists with a useful tool for browsing and extracting functionally consistent cancer genes from various data sources.

Original languageEnglish (US)
Article number76
JournalBMC Bioinformatics
Volume11
DOIs
StatePublished - Feb 5 2010
Externally publishedYes

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics

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    Gong, X., Wu, R., Zhang, Y., Zhao, W., Cheng, L., Gu, Y., Zhang, L., Wang, J., Zhu, J., & Guo, Z. (2010). Extracting consistent knowledge from highly inconsistent cancer gene data sources. BMC Bioinformatics, 11, [76]. https://doi.org/10.1186/1471-2105-11-76