Report
Antibody detection of translocations in Ewing sarcoma
Article first published online: 15 MAR 2012
DOI: 10.1002/emmm.201200225
Copyright © 2012 EMBO Molecular Medicine
Additional Information
How to Cite
Luo, W., Milash, B., Dalley, B., Smith, R., Zhou, H., Dutrow, N., Cairns, B. R. and Lessnick, S. L. (2012), Antibody detection of translocations in Ewing sarcoma. EMBO Mol Med, 4: 453–461. doi: 10.1002/emmm.201200225
Publication History
- Issue published online: 4 JUN 2012
- Article first published online: 15 MAR 2012
- Manuscript Accepted: 1 FEB 2012
- Manuscript Revised: 31 JAN 2012
- Manuscript Received: 25 OCT 2011
Funded by
- NIH. Grant Numbers: R21 CA138295 to SLL, T32 GM007464 to ND, P30 CA042014 to Huntsman Cancer Institute
Keywords:
- antibody;
- Ewing sarcoma;
- microarray;
- S9.6;
- translocation
Abstract
The detection of chromosomal translocations has important implications in the diagnosis, prognosis and treatment of patients with cancer. Current approaches to translocation detection have significant shortcomings, including limited sensitivity and/or specificity, and difficulty in application to formalin-fixed paraffin-embedded (FFPE) clinical samples. We developed a new approach called antibody detection of translocations (ADOT) that avoids the shortcomings of current techniques. ADOT combines a transcriptional microarray-based approach with a novel antibody-based detection method. ADOT allows for the accurate and sensitive identification of translocations and provides exon-level information about the fusion transcript. ADOT can detect translocations in poor-quality unprocessed total ribonucleic acid (RNA). Furthermore, the technique is readily generalizable to detect any potential fusion transcript, including previously undescribed fusions. We demonstrate the feasibility of ADOT by examples in which both known and unknown Ewing sarcoma translocations are identified from cell lines, tumour xenografts and FFPE primary tumours. These results demonstrate that ADOT may be an effective approach for translocation analysis in clinical specimens with significant RNA degradation and may offer a novel diagnostic tool for translocation-based cancers.
→See accompanying article http://dx.doi.org/10.1002/emmm.201200226

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