Identification of predictive markers in the cerebrospinal fluid of patients with glioblastoma
نویسندگان
چکیده
Introduction . Glioblastoma (GB) is not yet curable despite recent advances in the treatment of other malignant solid tumors. The management GB based solely on histopathological features, imaging tumor and its genomic analysis (somatic mutations isocitrate dehydrogenase genes, methylation status O 6 -methylguanine-DNA methyltransferase gene promoter). To adapt to most evolution, molecular information should be received regularly throughout course therapy. However, tissue often available for diagnosis as disease progresses. In this regard, development less invasive methods, such proteome biological fluids patients, particular interest. Cerebrospinal fluid (CSF) an important source biomarkers monitor presence progression disease. Aim identify proteomic predictive CSF patients with GB. Materials methods During study, samples patients’ samples, high-resolution mass spectrometry, modern biochemical bioinformatic technologies were used. Results For first time, proteomes obtained before 7 days after removal primary was carried out. Potential have been identified. After their validation using open databases, 11 markers (S100A9, S100A8, PLA2G15, PPIB, LTBP2, VIM, LAMB1, STC1, NRP1, COL6A1, HSPA5) selected role mechanisms gliomagenesis assessed. Conclusion. proposed panel can further used test systems assessing effectiveness therapy early detection relapses.
منابع مشابه
Peptide screening of cerebrospinal fluid in patients with glioblastoma multiforme.
AIMS To apply modern mass spectrometry based technology to identify possible CSF peptide markers of glioblastoma multiforme (GBM). METHODS Mass spectrometry based peptidomics technology enables a systematic and comprehensive screening of cerebrospinal fluid (CSF) with regard to its peptide composition. Differential Peptide Display (DPD) allows the identification of single marker peptides for ...
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ژورنال
عنوان ژورنال: Uspehi molekulârnoj onkologii
سال: 2023
ISSN: ['2313-805X', '2413-3787']
DOI: https://doi.org/10.17650/2313-805x-2023-10-2-117-125