■胃癌(GC)是全球消化道的普遍恶性肿瘤,证明了复发和转移的大量发生,除了缺乏有效的治疗。肿瘤进展和癌症的发展与氧化应激有关。我们的目标是双重的:首先,为了根据GC患者的氧化应激确定不同的子类别,第二,建立氧化应激相关基因,有助于对GC患者的风险进行分层。
■TCGA-STAD和GSE84437数据集用于获得GC患者的mRNA表达谱和相应的临床信息。通过共识聚类分析,确定了与氧化应激相关的不同亚组。为了揭示潜在的机制,进行GSEA和GSVA。xCell,CIBERSORT,MCPCounter,和TIMER算法用于评估不同GC亚型的免疫微环境和免疫状态。使用TCGA-STAD数据集开发了预后风险模型,并使用GSE84437数据集进行了证实。此外,qRT-PCR用于验证与预后相关的基因的表达。
■发现了两种不同的氧化应激亚型,生存率明显不同。C1亚型表现出激活的免疫信号通路,免疫细胞浸润的显著存在,免疫评分高,和很高的微环境分数,表明预后不良。此外,与氧化应激相关的预后特征(IMPACT和PXDN)能够准确估计胃癌患者的生存可能性.包含患者性别的列线图,年龄,风险评分能够预测胃癌患者的生存率。此外,IMPACT和PXDN的表达与总生存期和免疫细胞浸润密切相关。
■基于与氧化应激相关的特征,我们开发了一种创新的GC患者分类系统。这种分层能够准确预测患有GC的个体。
UNASSIGNED: Gastric cancer (GC) is a prevalent malignancy of the digestive tract globally, demonstrating a substantial occurrence of relapse and metastasis, alongside the absence of efficacious treatment. Tumor progression and the development of cancer are linked to oxidative stress. Our objective was twofold: first, to determine distinct subcategories based on oxidative stress in GC patients, and second, to establish oxidative stress-related genes that would aid in stratifying the risk for GC patients.
UNASSIGNED: TCGA-STAD and GSE84437 datasets were utilized to obtain the mRNA expression profiles and corresponding clinical information of GC patients. Through consensus clustering analysis, distinct subgroups related to oxidative stress were identified. To uncover the underlying mechanisms, GSEA and GSVA were performed. xCell, CIBERSORT, MCPCounter, and TIMER algorithms were employed to evaluate the immune microenvironment and immune status of the different GC subtypes. A prognostic risk model was developed using the TCGA-STAD dataset and substantiated using the GSE84437 dataset. Furthermore, qRT-PCR was employed to validate the expression of genes associated with prognosis.
UNASSIGNED: Two distinct subtypes of oxidative stress were discovered, with markedly different survival rates. The C1 subtype demonstrated an activated immune signal pathway, a significant presence of immune cell infiltration, high immune score, and a high microenvironment score, indicating a poor prognosis. Moreover, a prognostic signature related to oxidative stress (IMPACT and PXDN) was able to accurately estimate the likelihood of survival for patients with gastric cancer. A nomogram incorporating the patients\' gender, age, and risk score was able to predict survival in gastric cancer patients. Additionally, the expression of IMPACT and PXDN showed a strong correlation with overall survival and the infiltration of immune cells.
UNASSIGNED: Based on signatures related to oxidative stress, we developed an innovative system for categorizing patients with GC. This stratification enables accurate prognostication of individuals with GC.