Transcriptome sequencing to detect gene fusions in cancer

Christopher A. Maher, Chandan Kumar-Sinha, Xuhong Cao, Shanker Kalyana-Sundaram, Bo Han, Xiaojun Jing, Lee Sam, Terrence Barrette, Nallasivam Palanisamy and Arul M. Chinnaiyan ()
Additional contact information
Christopher A. Maher: Michigan Center for Translational Pathology,
Chandan Kumar-Sinha: Michigan Center for Translational Pathology,
Xuhong Cao: Michigan Center for Translational Pathology,
Shanker Kalyana-Sundaram: Michigan Center for Translational Pathology,
Bo Han: Michigan Center for Translational Pathology,
Xiaojun Jing: Michigan Center for Translational Pathology,
Lee Sam: Michigan Center for Translational Pathology,
Terrence Barrette: Michigan Center for Translational Pathology,
Nallasivam Palanisamy: Michigan Center for Translational Pathology,
Arul M. Chinnaiyan: Michigan Center for Translational Pathology,

Nature, 2009, vol. 458, issue 7234, 97-101

Abstract: Prostate cancer link Recurrent gene fusions, typically associated with haematological malignancies and rare bone and soft-tissue tumours, have recently been described in common solid tumours. Using a combination of new-generation long- and short-read sequencing technologies, Chinnaiyan and colleagues analyse cancer samples for gene fusion transcripts. The approach uncovers transcripts arising from known gene fusions in leukaemia and prostate cancer, as well as novel ones in prostate cancer, including a recurrent transcript SCL45A3-ELK4 that would not have been found using conventional methods.

Date: 2009
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DOI: 10.1038/nature07638

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