Transcriptome sequencing to detect gene fusions in cancer (original) (raw)

Nature volume 458, pages 97–101 (2009)Cite this article

Abstract

Recurrent gene fusions, typically associated with haematological malignancies and rare bone and soft-tissue tumours1, have recently been described in common solid tumours2,3,4,5,6,7,8,9. Here we use an integrative analysis of high-throughput long- and short-read transcriptome sequencing of cancer cells to discover novel gene fusions. As a proof of concept, we successfully used integrative transcriptome sequencing to ‘re-discover’ the BCR–ABL1 (ref. 10) gene fusion in a chronic myelogenous leukaemia cell line and the TMPRSS2–ERG2,3 gene fusion in a prostate cancer cell line and tissues. Additionally, we nominated, and experimentally validated, novel gene fusions resulting in chimaeric transcripts in cancer cell lines and tumours. Taken together, this study establishes a robust pipeline for the discovery of novel gene chimaeras using high-throughput sequencing, opening up an important class of cancer-related mutations for comprehensive characterization.

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Accession codes

Primary accessions

GenBank/EMBL/DDBJ

Data deposits

Sequences of the gene fusion chimaeras are deposited in GenBank under accession numbers FJ423742–FJ423755.

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Acknowledgements

We thank Illumina and 454 for technical support, R. Mehra and J. Siddiqui for providing tissue samples, Y. Gong, S. Shankar, X. Wang and A. Menon for technical assistance, J. Yu for help with the Illumina Genome Analyzer, and R. J. Lonigro for discussions. C.A.M. was supported by a National Institutes of Health Ruth L. Kirschstein post-doctoral training grant, and currently derives support from the American Association of Cancer Research Amgen Fellowship in Clinical/Translational Research, the Canary Foundation and American Cancer Society Early Detection Postdoctoral Fellowship. This work was supported in part by the National Institutes of Health (to A.M.C.), the Department of Defense (to A.M.C.), the Early Detection Research Network (to A.M.C.), and NCIBI (grant number U54 DA 021519).

Author Contributions C.A.M., C.K.-S. and A.M.C. wrote the manuscript. C.K.-S., X.C., X.J., B.H. and N.P. performed the sequencing and biochemical experiments. C.A.M., S.K.-S., L.S. and T.B. performed bioinformatics analysis.

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Author notes

  1. Christopher A. Maher and Chandan Kumar-Sinha: These authors contributed equally to this work.

Authors and Affiliations

  1. Michigan Center for Translational Pathology,,
    Christopher A. Maher, Chandan Kumar-Sinha, Xuhong Cao, Shanker Kalyana-Sundaram, Bo Han, Xiaojun Jing, Lee Sam, Terrence Barrette, Nallasivam Palanisamy & Arul M. Chinnaiyan
  2. Howard Hughes Medical Institute,,
    Xuhong Cao & Arul M. Chinnaiyan
  3. Department of Pathology,,
    Christopher A. Maher, Chandan Kumar-Sinha, Shanker Kalyana-Sundaram, Bo Han, Xiaojun Jing, Lee Sam, Terrence Barrette, Nallasivam Palanisamy & Arul M. Chinnaiyan
  4. Department of Urology,,
    Arul M. Chinnaiyan
  5. Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA ,
    Arul M. Chinnaiyan

Authors

  1. Christopher A. Maher
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  2. Chandan Kumar-Sinha
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  3. Xuhong Cao
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  4. Shanker Kalyana-Sundaram
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  5. Bo Han
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  6. Xiaojun Jing
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  7. Lee Sam
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  8. Terrence Barrette
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  9. Nallasivam Palanisamy
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  10. Arul M. Chinnaiyan
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Corresponding author

Correspondence toArul M. Chinnaiyan.

Supplementary information

Supplementary Information

This file contains a Supplementary Discussion, Supplementary Materials and Methods, Supplementary Tables 1-9, Supplementary Figures 1-15 with Legends and Supplementary References (PDF 9467 kb)

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Maher, C., Kumar-Sinha, C., Cao, X. et al. Transcriptome sequencing to detect gene fusions in cancer.Nature 458, 97–101 (2009). https://doi.org/10.1038/nature07638

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Editorial Summary

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.