The Gujarat Cancer & Research Institute, Civil Hospital Campus, Asarwa, Ahmedabad-380 016, Gujarat, India.
Asian Pac J Cancer Prev. 2021 Feb 1;22(2):371-380. doi: 10.31557/APJCP.2021.22.2.371.
An impervious mortality rate in oral cancer (OC) to a certain extent explains the exigencies of precise biomarkers. Therefore, the study was intended to identify OC candidate biomarkers using samples of healthy normal tissues (N=335), adjacent normal tissues (N=93) and OC tissues (N=533) from online microarray data.
Differentially expressed genes (DEGs) were recognised through GeneSpring software (Fold change >4.0 and 'p' value.
口腔癌(OC)的死亡率在一定程度上无法确定,这在某种程度上解释了精确生物标志物的必要性。因此,本研究旨在使用来自在线微阵列数据的健康正常组织(N=335)、相邻正常组织(N=93)和 OC 组织(N=533)样本,识别 OC 候选生物标志物。
通过 GeneSpring 软件识别差异表达基因(DEGs)(倍数变化>4.0 和 'p' 值