作者: Richard Caprioli
DOI:
关键词: Protein expression 、 Glioma 、 Computational biology 、 Proteomics 、 Bioinformatics 、 Patient survival 、 Grading (tumors) 、 Biology
摘要: The present invention provides for a proteomic approach to grading gliomas, and predicting patient survival. In addition employing global protein expression patterns, such as by mass spectrometry, particular target proteins whose is altered in various gliomas can be used predict the stage/classificiation of glioma, well indicate whether given will short- or long-term survivor.