Huang Yun-Cian, Huang Jau-Ling, Tseng Lu-Chia, Yu Ping-Hung, Chen Si-Yun, Lin Chang-Shen
Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Department of Bioscience Technology, College of Health Science, Chang Jung Christian University, Tainan 711, Taiwan.
J Pers Med. 2022 Jan 21;12(2):140. doi: 10.3390/jpm12020140.
To improve the survival rate of cancer patients, biomarkers for both early diagnosis and patient stratification for appropriate therapeutics play crucial roles in precision oncology. Investigation of altered gene expression and the relevant molecular pathways in cancer cells are helpful for discovering such biomarkers. In this study, we explore the potential prognostic biomarkers for oral cancer patients through systematically analyzing five oral cancer transcriptomic data sets (TCGA, GSE23558, GSE30784, GSE37991, and GSE138206). Gene Set Enrichment Analysis (GSEA) was individually applied to each data set and the upregulated Hallmark molecular pathways of each data set were intersected to generate 13 common pathways including interferon-α/γ pathways. Among the 5 oral cancer data sets, 43 interferon pathway genes were commonly upregulated and 17 genes exhibited prognostic values in TCGA cohort. After validating in another oral cancer cohort (GSE65858), high expressions of C-X-C motif chemokine ligand 10 (CXCL10) and Signal transducer and activator of transcription 2 (STAT2) were confirmed to be good prognostic biomarkers. GSEA of oral cancers stratified by CXCL10/STAT2 expression showed that activation of T-cell pathways and increased tumor infiltration scores of Type 1 T helper (Th1) and CD8+ T cells were associated with high CXCL10/STAT2 expression. These results suggest that high CXCL10/STAT2 expression can predict a favorable outcome in oral cancer patients.
为提高癌症患者的生存率,用于早期诊断和指导合适治疗方案的患者分层的生物标志物在精准肿瘤学中发挥着关键作用。研究癌细胞中基因表达的改变及相关分子途径有助于发现此类生物标志物。在本研究中,我们通过系统分析五个口腔癌转录组数据集(TCGA、GSE23558、GSE30784、GSE37991和GSE138206)来探索口腔癌患者潜在的预后生物标志物。基因集富集分析(GSEA)分别应用于每个数据集,并将每个数据集上调的标志性分子途径进行交集分析,以生成包括干扰素-α/γ途径在内的13条共同途径。在这5个口腔癌数据集中,43个干扰素途径基因普遍上调,17个基因在TCGA队列中显示出预后价值。在另一个口腔癌队列(GSE65858)中验证后,证实C-X-C基序趋化因子配体10(CXCL10)和信号转导及转录激活因子2(STAT2)的高表达是良好的预后生物标志物。按CXCL10/STAT2表达分层的口腔癌的GSEA显示,T细胞途径的激活以及1型辅助性T细胞(Th1)和CD8+T细胞的肿瘤浸润评分增加与CXCL10/STAT2高表达相关。这些结果表明,CXCL10/STAT2高表达可预测口腔癌患者的良好预后。