Identification of novel fusion genes in lung cancer using breakpoint assembly of transcriptome sequencing data

Genome Biology
|February 5, 2015
PubMed

Insights

We developed TRUP, a computational tool to identify gene fusions in cancer specimens. TRUP is more sensitive than existing methods for detecting chimeric transcripts and potential therapeutic targets.

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • Genomic translocations drive cancer by creating oncogenic gene fusions.
  • Identifying these fusion transcripts is crucial for discovering novel therapeutic targets.

Purpose of the Study:

  • To develop a sensitive computational approach for identifying chimeric transcripts in cancer specimens.
  • To evaluate the performance of the developed tool against existing methods.

Main Methods:

  • Development of TRUP (Tumor-specimen suited RNA-seq Unified Pipeline), a computational pipeline.
  • TRUP integrates split-read, read-pair analysis, and de novo assembly.
  • Application of TRUP to RNA-sequencing data from various tumor types.

Main Results:

  • TRUP demonstrated higher sensitivity in detecting chimeric transcripts compared to alternative tools.
  • Identified secondary rearrangements in EML4-ALK-positive lung tumors.
  • Detected recurrent inactivating rearrangements affecting RASSF8.

Conclusions:

  • TRUP is a sensitive and effective tool for identifying oncogenic gene fusions in cancer.
  • The pipeline aids in the discovery of potential therapeutic targets through comprehensive chimeric transcript identification.

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