Ji Bei, Qiao Lili, Zhai Wei
Department of Gastroenterology, The Second People's Hospital of Liaocheng, The Second Hospital of Liaocheng Affiliated to Shandong First Medical University, No. 306, Jiankang Road, Liaocheng, 252600, Shandong Province, People's Republic of China.
Dig Dis Sci. 2023 Mar;68(3):791-802. doi: 10.1007/s10620-022-07513-9. Epub 2022 May 27.
Gastric cancer (GC) seriously threatens people's health and life quality worldwide.
The current study sought to explore prognostic immune genes and their regulatory network in GC.
First, expression data in GC and normal samples were analyzed based on bioinformatics analysis. Immune-related genes were identified and confirmed with univariate/multivariate Cox analysis and receiver-operating characteristic curve. The upstream transcription factors of immune genes were subsequently predicted, and their regulatory network was constructed. GC and adjacent normal tissues were obtained from 76 patients with GC to determine the expression patterns of immune genes and their correlation with overall prognosis. CD8 T-cell infiltration of patients with high or low risk was detected by means of immunohistochemistry.
Bioinformatics analysis highlighted 3689 differentially expressed genes in GC, including 87 immune genes, 8 of which were significantly associated with patient survival. CGB5 and INHBA were high-risk genes, while TRAJ19 was identified as a low-risk gene, all of which were found to be regulated by 11 different transcription factors. Furthermore, CGB5 and INHBA exhibited negative correlation with the prognosis of GC patients; however, TRAJ19 was positively correlated with GC patient prognosis. The incidence of lymph node metastasis was higher, the pathological stage was advanced and the infiltrated CD8 T cells were fewer in the high-risk GC group.
Overall, our findings identified the key roles of CGB5, INHBA and TRAJ19 in prognosis GC patients, serving as an important gene set for prognostic prediction.
胃癌(GC)在全球范围内严重威胁着人们的健康和生活质量。
本研究旨在探索胃癌中预后免疫基因及其调控网络。
首先,基于生物信息学分析对胃癌和正常样本中的表达数据进行分析。通过单因素/多因素Cox分析和受试者工作特征曲线鉴定并确认免疫相关基因。随后预测免疫基因的上游转录因子,并构建其调控网络。从76例胃癌患者中获取癌组织及癌旁正常组织,以确定免疫基因的表达模式及其与总预后的相关性。采用免疫组织化学方法检测高、低风险患者的CD8 T细胞浸润情况。
生物信息学分析显示胃癌中有3689个差异表达基因,其中包括87个免疫基因,其中8个与患者生存显著相关。CGB5和INHBA为高风险基因,而TRAJ19被鉴定为低风险基因,所有这些基因均受11种不同转录因子调控。此外,CGB5和INHBA与胃癌患者的预后呈负相关;然而,TRAJ19与胃癌患者预后呈正相关。高风险胃癌组的淋巴结转移发生率更高,病理分期更晚,浸润的CD8 T细胞更少。
总体而言,我们的研究结果确定了CGB5、INHBA和TRAJ19在胃癌患者预后中的关键作用,可作为预后预测的重要基因集。