TY - JOUR A2 - Maugeri, Andrea AU - Zhang, Jia-Jia AU - Hong, Jiang AU - Ma, Yu-Shui AU - Shi, Yi AU - Zhang, Dan-Dan AU - Yang, Xiao-Li AU - Jia, Cheng-You AU - Yin, Yu-Zhen AU - Jiang, Geng-Xi AU - Fu, Da AU - Yu, Fei PY - 2021 DA - 2021/01/06 TI - Identified GNGT1 and NMU as Combined Diagnosis Biomarker of Non-Small-Cell Lung Cancer Utilizing Bioinformatics and Logistic Regression SP - 6696198 VL - 2021 AB - Non-small-cell lung cancer (NSCLC) is one of the most devastating diseases worldwide.研究旨在识别可靠的预测生物标志并加深对癌症启动和增量机制的了解RNA-Seq数据从癌症基因组地图集数据库下载其后进行了综合生物信息分析,其中包括基因本学、京都基因和基因百科全书和蛋白质-蛋白交互网络,以查明与NSCLC密切相关的不同表达式基因八大枢纽基因使用分子复杂检测和细胞Hubba筛选中心基因预测诊断值得到生存分析与接收器操作特征曲线分析的进一步确认。枢纽基因由Oncomine、humanptein地图集和cBioPortal数据库等其他数据集验证归根结底,后勤回归分析是为了评价两个识别生物标志的诊断潜力筛选清除1 411DEGs,包括1 362调高调高和49调低基因路径增益分析DEGs检查Ras信号路径、酗酒和其他因素归根结底,八大优先基因(GNGT1GNG4NMUGGGGGGGGGGAGSTGASTGATGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGR1和PORRRRRGRGGGNGNGNGNGNGGGGGGGGNGGNGGGGNGNGGNGNGGGNGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGNGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG高中枢基因表达方式与NSCLC病人总体生存差大相关ROC曲线显示这些枢纽基因有诊断值mRNAGNGT1和NMU表达式在Oncomine数据库中低他们的蛋白表达式和基因变换也被揭晓最后,后勤回归分析显示,合并两个生物标志可大大提高歧视NSCLC的能力GNGT1和NMU本项研究确认,可增强深入发现NSCLC启动和进步基础分子机制的能力SN-0278-0240UR-https://doi.org/101155/2021/669198DO-10.1155/20216198JF-services标志PB-HindawiKW-ER