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Multiple alternative splicing markers for ovarian cancer

Lookup NU author(s): Dr Julian Venables

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Abstract

Intense efforts are currently being directed toward profiling gene expression in the hope of developing better cancer markers and identifying potential drug targets. Here, we present a sensitive new approach for the identification of cancer signatures based on direct high-throughput reverse transcription-PCR validation of alternative splicing events. This layered and integrated system for splicing annotation (LISA) fills a gap between high-throughput microarray studies and high-sensitivity individual gene investigations, and was created to monitor the splicing of 600 cancer-associated genes in 25 normal and 21 serous ovarian cancer tissues. Out of >4,700 alternative splicing events screened, the LISA identified 48 events that were significantly associated with serous ovarian tumor tissues. In a further screen directed at 39 ovarian tissues containing cancer pathologies of various origins, our ovarian cancer splicing signature successfully distinguished all normal tissues from cancer. High-volume identification of cancer-associated splice forms by the LISA paves the way for the use of alternative splicing profiling to diagnose subtypes of cancer.


Publication metadata

Author(s): Klinck R, Bramard A, Inkel L, Dufresne-Martin G, Gervais-Bird J, Madden R, Paquet ER, Koh C, Venables JP, Prinos P, Jilaveanu-Pelmus M, Wellinger R, Rancourt C, Chabot B, Abou-Elela S

Publication type: Article

Journal: Cancer Research

Year: 2008

Volume: 68

Issue: 3

Pages: 657-663

ISSN (print): 0008-5472

ISSN (electronic): 1538-7445

Publisher: American Association for Cancer Research

URL: http://dx.doi.org/10.1158/0008-5472.CAN-07-2580

DOI: 10.1158/0008-5472.CAN-07-2580


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