Unifying the genomics-based classes of cancer fusion gene partners: Large cancer fusion genes are evolutionarily conserved

Libia M. Pava, Daniel T. Morton, Ren Chen, Blanck George

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Background: Genes that fuse to cause cancer have been studied to determine molecular bases for proliferation, to develop diagnostic tools, and as targets for drugs. To facilitate identification of additional, cancer fusion genes, following observation of a chromosomal translocation, we have characterized the genomic features of the fusion gene partners. Previous work indicated that cancer fusion gene partners, are either large or evolutionarily conserved in comparison to the neighboring genes in the region of a chromosomal translocation. These results raised the question of whether large cancer fusion gene partners were also evolutionarily conserved. Methods and Results: We developed two methods for quantifying evolutionary conservation values, allowing the conclusion that both large and small cancer fusion gene partners are more evolutionarily conserved than their neighbors. Additionally, we determined that cancer fusion gene partners have more 3' untranslated region secondary structures than do their neighbors. Conclusion: Coupled with previous algorithms, with or without transcriptome approaches, we expect these results to assist in the rapid and efficient use of chromosomal translocations to identify cancer fusion genes. The above parameters for any gene of interest can be accessed at www.cancerfusiongenes.com.

Original languageEnglish (US)
Pages (from-to)389-396
Number of pages8
JournalCancer Genomics and Proteomics
Issue number6
StatePublished - 2012
Externally publishedYes


  • Bioinformatics
  • Cancer
  • Cancer fusion genes
  • Chromosomal translocations
  • Evolutionary concervation of genes
  • Genomics
  • Transcriptome
  • UCSC genome browser assembly

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Genetics
  • Cancer Research


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