Without control of the homeostatic mechanisms, urine accumulates systemic changes in the body to be an excellent biomarker source. But urine is affected by many factors other than the disease. Even though many candidate biomarkers are discovered in animal models, it may still require large number of clinical samples for successful candidate biomarkers discovery. Self‐control study may effectively reduce individual differences among patients. Gliomas are the most common primary malignant brain tumors with a very poor prognosis. Early diagnosis of gliomas and monitoring of tumor recurrence is crucial to improve the outcome of glioma patients. However, whether it is possible to find several promising biomarkers in relatively small samples of glioma patients remained unknown. In this study, urine samples of five glioma patients were collected at the time of tumor diagnosis and after total surgical removal of the brain tumor. A comparative proteomic analysis of urine samples before and after tumor resection were performed using liquid chromatography coupled with tandem mass spectrometry (LC‐MS/MS). Using label‐free proteome quantification, a total of 1422 urinary proteins were identified. It was found that 30 urine proteins changed significantly after tumor resection and 12 differential proteins had been reported to be associated with gliomas in previous studies, such as CEACAM1, ANXA7, CRYAB, pIgR, cathepsin D, beta‐glucuronidase, acid ceramidase and CD276 antigen. After functional annotation of these differential proteins, it was found that regulation of tissue remodeling, autophagy, negative regulation of gene expression, positive regulation of natural killer cell mediated cytotoxicity and angiogenesis were significantly enriched. In this study, candidate urinary biomarkers were identified in glioma patients that have the potential to detect the disease and monitor tumor recurrence after treatment. Our results suggested that self‐control before and after tumor resection is an effective way for finding differential proteins related to the tumor even in small number of urine samples. Our findings will provide clues for future biomarker studies involving brain cancers.Support or Funding InformationThis work was supported by the National Key Research and Development Program of China (2016YFC1306300), Beijing Natural Science Foundation (7173264, 7172076), and funds from Beijing Normal University (11100704, 10300‐310421102).This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.
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