Ge Chao-Yi, Wei Li-Yuan, Tian Yu, Wang Hua-Hong
Department of Gastroenterology, Peking University First Hospital, Beijing, People's Republic of China.
Department of Breast Surgery, Shanxi Bethune Hospital, Taiyuan, People's Republic of China.
Pharmgenomics Pers Med. 2020 Dec 2;13:707-718. doi: 10.2147/PGPM.S274258. eCollection 2020.
Ulcerative colitis (UC) patients have an increased risk of colorectal cancer (CRC), and compared with sporadic CRC, ulcerative colitis-associated colorectal cancer (CAC) is more aggressive with a worse prognosis. This study aimed to identify a gene signature to predict the risk of CAC for patients with UC in remission.
Series of quiescent UC-related transcriptome data obtained from the Gene Expression Omnibus (GEO) data set were divided into a training set and a validation set. Gene Set Variation Analysis (GSVA), Gene Set Enrichment Analysis (GSEA), and \Weighted Correlation Network Analysis (WGCNA) combined with protein-protein interaction (PPI) analysis were used to identify the pathways and gene signatures related to tumorigenesis among quiescent UC patients. A generalized linear model (GLM) of Poisson regression based on the training set was applied to estimate the diagnostic power of the gene signature in our validation set.
The tumor necrosis factor (TNF) signaling via NF-κB pathway was significantly augmented with the highest normalized enrichment score (NES). The genes in the brown module from WGCNA have shown a significant correlation with CAC (Pearson coefficient = 0.83, p = 6e-06). A subset of NF-κB related genes (, and ) were identified with a relatively higher expression level in CAC samples. The diagnostic value of this 7-gene biomarker was estimated by the receiver operating characteristic (ROC) curve with an area under the ROC curve (AUC) at 0.82 (p<0.0001, 95% CI: 0.7098-0.9400) in the validation cohort.
In summary, the increased expression of this seven-NF-κB-related gene signature may act as a powerful index for tumorigenesis prediction among patients with UC in remission.
溃疡性结肠炎(UC)患者患结直肠癌(CRC)的风险增加,与散发性结直肠癌相比,溃疡性结肠炎相关结直肠癌(CAC)侵袭性更强,预后更差。本研究旨在确定一种基因特征,以预测缓解期UC患者患CAC的风险。
从基因表达综合数据库(GEO)数据集中获取的一系列静止期UC相关转录组数据被分为训练集和验证集。基因集变异分析(GSVA)、基因集富集分析(GSEA)和加权相关网络分析(WGCNA)结合蛋白质-蛋白质相互作用(PPI)分析,用于识别静止期UC患者中与肿瘤发生相关的通路和基因特征。基于训练集应用泊松回归的广义线性模型(GLM)来评估基因特征在验证集中的诊断能力。
通过NF-κB途径的肿瘤坏死因子(TNF)信号显著增强,标准化富集分数(NES)最高。WGCNA中棕色模块中的基因与CAC显示出显著相关性(皮尔逊系数 = 0.83,p = 6e-06)。在CAC样本中鉴定出一组NF-κB相关基因(、和)表达水平相对较高。通过受试者工作特征(ROC)曲线评估该7基因生物标志物的诊断价值,在验证队列中ROC曲线下面积(AUC)为0.82(p<0.0001,95%CI:0.7098-0.9400)。
总之,这种与NF-κB相关的7基因特征表达增加可能是缓解期UC患者肿瘤发生预测的有力指标。