A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma

Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study...

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Bibliographic Details
Published in:Advances in medical sciences 2012-06, Vol.57 (1), p.37-45
Main Authors: Patil, N, Abba, M, Hödl, P, Schwarzbach, M, Allgayer, H
Format: Article
Language:English
Subjects:
detection
FUS-CHOP
fusion transcript
Humans
In Vitro Techniques
liposarcoma
Liposarcoma - genetics
Oncogene Proteins, Fusion - genetics
Polymerase Chain Reaction
Real-Time Polymerase Chain Reaction - methods
RNA-Binding Protein FUS - genetics
Transcription Factor CHOP - genetics
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Summary:Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications.
ISSN:1896-1126
1898-4002
DOI:10.2478/v10039-012-0018-6