Urbanavičiūtė Rūta, Skauminas Kęstutis, Skiriutė Daina
Laboratory of Molecular Neurooncology, Neuroscience Institute, Lithuanian University of Health Sciences, Eiveniu str. 4, LT50161 Kaunas, Lithuania.
Brain Sci. 2020 Nov 19;10(11):872. doi: 10.3390/brainsci10110872.
Gliomas account for approximately 70% of primary brain tumors in adults. Of all gliomas, grade IV astrocytoma, also called glioblastoma, has the poorest overall survival, with <5% of patients surviving five years after diagnosis. Due to the aggressiveness, lethal nature, and impaired surgical accessibility of the tumor, early diagnosis of the tumor and, in addition, prediction of the patient's survival time are important. We hypothesize that combining the protein level values of highly recognizable glioblastoma serum biomarkers could help to achieve higher specificity and sensitivity in predicting glioma patient outcome as compared to single markers. The aim of this study was to select the most promising astrocytoma patient overall survival prediction variables from five secretory proteins-glial fibrillary acidic protein (GFAP), matrix metalloproteinase-2 (MMP-2), chitinase 3-like 1 (CHI3L1), osteopontin (OPN), and amphiregulin (AREG)-combining them with routinely used tumor markers to create a Patient Survival Score calculation tool. The study group consisted of 70 astrocytoma patients and 31 healthy controls. We demonstrated that integrating serum CHI3L1 and OPN protein level values and tumor isocitrate dehydrogenase 1 mutational status into one parameter could predict low-grade astrocytoma patients' two-year survival with 93.8% accuracy.
神经胶质瘤约占成人群体原发性脑肿瘤的70%。在所有神经胶质瘤中,IV级星形细胞瘤,也称为胶质母细胞瘤,总体生存率最差,诊断后5年生存率低于5%。由于肿瘤具有侵袭性、致命性且手术可达性受损,因此肿瘤的早期诊断以及患者生存时间的预测都很重要。我们假设,与单一标志物相比,结合高度可识别的胶质母细胞瘤血清生物标志物的蛋白质水平值有助于在预测神经胶质瘤患者预后方面实现更高的特异性和敏感性。本研究的目的是从五种分泌蛋白——胶质纤维酸性蛋白(GFAP)、基质金属蛋白酶-2(MMP-2)、几丁质酶3样1(CHI3L1)、骨桥蛋白(OPN)和双调蛋白(AREG)中选择最有前景的星形细胞瘤患者总体生存预测变量,并将它们与常规使用的肿瘤标志物相结合,以创建一个患者生存评分计算工具。研究组由70例星形细胞瘤患者和31名健康对照组成。我们证明,将血清CHI3L1和OPN蛋白水平值以及肿瘤异柠檬酸脱氢酶1突变状态整合为一个参数,可以以93.8%的准确率预测低级别星形细胞瘤患者的两年生存率。