PMID- 21808235 OWN - NLM STAT- MEDLINE DCOM- 20111122 LR - 20230216 IS - 1530-0307 (Electronic) IS - 0023-6837 (Linking) VI - 91 IP - 10 DP - 2011 Oct TI - High-throughput detection of fusion genes in cancer using the Sequenom MassARRAY platform. PG - 1491-501 LID - 10.1038/labinvest.2011.110 [doi] AB - Fusion genes have pivotal roles in the development and progression of human cancer and offer potential for rational drug design. Massively parallel sequencing has identified a panoply of in-frame expressed fusion genes, but early reports suggest that the majority of these are present at very low prevalence or are private events. Conventional methods for the identification of recurrent expressed fusion genes in large cohorts of cancers (eg fluorescence in situ hybridization (FISH) and reverse transcriptase PCR (RT-PCR)) are time consuming and prone to artifacts. Here, we describe a novel high-throughput strategy for the detection of recurrent fusion genes in cancer based on the Sequenom MassARRAY platform. Fusion genes were initially identified by massively parallel sequencing of breast cancer cell lines. For each fusion gene, two Sequenom probes were designed. Primary human breast cancers and cancer cell lines were interrogated for 10 fusion genes. Sensitivity, specificity, and predictive values of the MassARRAY method were then determined using FISH and qRT-PCR as the 'gold standard.' By combining two probes per fusion gene, the negative and positive predictive values were 100 and 71.4%, respectively. All fusion genes identified by massively parallel sequencing were accurately detected. No recurrent fusion genes were found. The MassARRAY-based approach described here may, therefore, be employed as a high-throughput screening tool for known fusion genes in human cancer. In keeping with other highly sensitive assays, further refinement of this technique is necessary to reduce the number of false-positive results. CI - (c) 2011 USCAP, Inc All rights reserved FAU - Lambros, Maryou B K AU - Lambros MB AD - Molecular Pathology Team, The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK. FAU - Wilkerson, Paul M AU - Wilkerson PM FAU - Natrajan, Rachael AU - Natrajan R FAU - Patani, Neill AU - Patani N FAU - Pawar, Vidya AU - Pawar V FAU - Vatcheva, Radost AU - Vatcheva R FAU - Mansour, Marthe AU - Mansour M FAU - Laschet, Mirja AU - Laschet M FAU - Oelze, Beatrice AU - Oelze B FAU - Orr, Nicholas AU - Orr N FAU - Muller, Susanne AU - Muller S FAU - Reis-Filho, Jorge S AU - Reis-Filho JS LA - eng GR - BREAST CANCER NOW RESEARCH CENTRE/BCN_/Breast Cancer Now/United Kingdom GR - G1100450/MRC_/Medical Research Council/United Kingdom GR - WT_/Wellcome Trust/United Kingdom GR - CRUK_/Cancer Research UK/United Kingdom PT - Evaluation Study PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20110801 PL - United States TA - Lab Invest JT - Laboratory investigation; a journal of technical methods and pathology JID - 0376617 RN - 0 (Oncogene Proteins, Fusion) SB - IM MH - Breast Neoplasms/*genetics MH - Cell Line, Tumor MH - Female MH - Genetic Testing/standards MH - HeLa Cells MH - High-Throughput Nucleotide Sequencing/*methods/standards MH - Humans MH - In Situ Hybridization, Fluorescence MH - Microarray Analysis/*methods/standards MH - *Oncogene Proteins, Fusion MH - Reverse Transcriptase Polymerase Chain Reaction MH - Sensitivity and Specificity EDAT- 2011/08/03 06:00 MHDA- 2011/12/13 00:00 CRDT- 2011/08/03 06:00 PHST- 2011/08/03 06:00 [entrez] PHST- 2011/08/03 06:00 [pubmed] PHST- 2011/12/13 00:00 [medline] AID - S0023-6837(22)02716-7 [pii] AID - 10.1038/labinvest.2011.110 [doi] PST - ppublish SO - Lab Invest. 2011 Oct;91(10):1491-501. doi: 10.1038/labinvest.2011.110. Epub 2011 Aug 1.