作者: Carla S. Moller-Levet , Guy N. J. Betts , Adrian L. Harris , Jarrod J. Homer , Catharine M. L. West
DOI: 10.1371/JOURNAL.PCBI.1000571
关键词: splice 、 Exon 、 Cancer research 、 RNA extraction 、 Alternative splicing 、 Genetics 、 RNA splicing 、 Gene 、 Biology 、 Gene expression 、 Head and neck squamous-cell carcinoma 、 Ecology (disciplines) 、 Modelling and Simulation 、 Computational Theory and Mathematics 、 Ecology, Evolution, Behavior and Systematics 、 Molecular biology 、 Cellular and Molecular Neuroscience
摘要: The identification of alternatively spliced transcript variants specific to particular biological processes in tumours should increase our understanding cancer. Hypoxia is an important factor cancer biology, and associated splice may present new markers help with planning treatment. A method was developed analyse alternative splicing exon array data, using probeset multiplicity identify genes changes expression across their loci, a combination the index metric based on variation reliability weighted fold detect patterns. approach validated cancer/normal sample dataset which events had been confirmed RT-PCR. We then analysed ten head neck squamous cell carcinomas arrays identified differentially expressed five samples high versus low levels hypoxia-associated genes. analysis variant LAMA3 (Laminin alpha 3), LAMA3-A, known be involved tumour invasion progression. full-length gene (LAMA3-B) did not appear hypoxia-associated. results were qualitative In series 59 prospectively collected tumours, LAMA3-A prognostic significance whereas LAMA3-B not. This work illustrates potential for transcripts act as biomarkers disease prognosis improved specificity tissues or conditions over assays do discriminate between variants.