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JMD 2003, Vol. 5, No. 2
Copyright © 2003 American Society for Investigative Pathology & Association for Molecular Pathology

Novel Fluorescent Ligase Detection Reaction and Flow Cytometric Analysis of SYT-SSX Fusions in Synovial Sarcoma

Robyn Gaffney*, Artemis Chakerian*, John X. O’Connell{dagger}, Joan Mathers{ddagger}, Kelly Garner§, Nancy Joste* and David S. Viswanatha*

From the University of New Mexico Health Sciences Center, * Albuquerque, New Mexico; Surrey Memorial Hospital, {dagger} Surrey, British Columbia, Canada; Children’s and Women’s Health Centre of British Columbia, {ddagger} Vancouver, British Columbia, Canada; and Tricore Reference Laboratories, § Albuquerque, New Mexico

Synovial sarcomas (SS) are characterized by the t(X;18)(p11;q11) translocation and its resultant fusion gene, SYT-SSX. Two homologues of the SSX gene (ie, SSX1 and SSX2) are involved in the vast majority of SS and the SYT-SSX1 type of fusion has been associated with inferior clinical outcome. Thus, detection of the presence and type of SYT-SSX fusion is critical for diagnosis and prognosis in SS. Identification of SYT-SSX fusion type is typically accomplished by reverse-transcription polymerase chain reaction (RT-PCR) followed by a post-PCR analytic method. As mRNA nucleotide sequences of the SSX1 and SSX2 segments involved in the SYT-SSX fusion are nearly identical, post-PCR methods must be highly discriminatory. We describe a novel method to identify and differentiate these two chimeric transcripts using RT-PCR followed by fluorescent thermostable ligase detection reaction (f-LDR), microparticle bead capture and flow cytometric detection. Evaluation of this unique approach in 11 cases of SS without prior knowledge of SYT-SSX status, six cases of control sarcomas (CS) and three hematopoietic cell lines, revealed that the f-LDR technique was rapid, unambiguous, and highly specific. The f-LDR results were compared to XmnI enzyme digestion patterns and sequencing of PCR products, revealing a 100% concordance for all cases of SS with regards to SYT-SSX transcript type. In addition, there was a strong association of transcript type detected by f-LDR and morphological subclassification of SS, as previously reported. We conclude that this f-LDR method with flow-based detection is a robust approach to post-PCR detection of specific nucleotide sequences in SS and may be more broadly applicable in molecular oncology.







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Copyright © 2003 by the American Society for Investigative Pathology and the Association for Molecular Pathology.