What question did this study set out to answer?

To systematically identify and characterize novel and recurrent kinase gene fusion events across multiple cancer types using transcriptome sequencing data.

September 10, 2014Nature CommunicationsOpen Access

The landscape of kinase fusions in cancer

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Authors

NSNicolas StranskyCelsius Therapeutics (United States)ECEthan CeramiDana-Farber Cancer Institute SSStefanie S. SchalmBayer (United States)

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Implication

Genomic analysis reveals novel and recurrent kinase fusions in human tumor samples, highlighting expanded therapeutic possibilities using targeted drugs.

Key Points

To systematically identify and characterize novel and recurrent kinase gene fusion events across multiple cancer types using transcriptome sequencing data.
Developed computational heuristics to reliably detect gene fusion events from RNA-seq data.
Applied the detection heuristics to RNA-seq profiles from nearly 7,000 tumor samples in The Cancer Genome Atlas.
Discovered several novel and recurrent gene fusions directly involving protein kinases across human tumors.
Identified actionable kinase fusions with therapeutic relevance, as approved or exploratory targeted drugs already exist for many of these kinase targets.

Cite This Study

Stransky et al. (2014) studied this question.

synapsesocial.com/papers/69fc06147c10856f85dd6b4a https://doi.org/10.1038/ncomms5846

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Implication

Genomic analysis reveals novel and recurrent kinase fusions in human tumor samples, highlighting expanded therapeutic possibilities using targeted drugs.

The landscape of kinase fusions in cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

The landscape of kinase fusions in cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

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