Esophageal squamous cell cancer (ESCC) is an aggressive disease associated with a poor prognosis. Long non-coding RNAs (lncRNAs) and oxidative stress play crucial roles in tumor progression. We aimed to identify an oxidative stress-related lncRNA signature that could predict the prognosis in ESCC. In the GSE53625 dataset, we identified 332 differentially expressed lncRNAs (DElncRNAs) between ESCC and control samples, out of which 174 were oxidative stress-related DElncRNAs. Subsequently, seven oxidative stress-related DElncRNAs (CCR5AS, LINC01749, PCDH9-AS1, TMEM220-AS1, KCNMA1-AS1, SNHG1, LINC01672) were selected based on univariate and LASSO Cox to build a prognostic risk model, and their expression was detected by RT-qPCR. The model exhibited an excellent ability for the prediction of overall survival (OS) and other clinicopathological traits using Kaplan–Meier (K-M) survival curves, receiver operating characteristic (ROC) curves, and the Wilcoxon test. Additionally, analysis of infiltrated immune cells and immune checkpoints indicated differences in immune status between the two risk groups. Finally, the in vitro experiments showed that PCDH9-AS1 overexpression inhibited proliferation ability and promoted apoptosis and oxidative stress levels in ESCC cells. In conclusion, our study demonstrated that a novel oxidative stress-related DElncRNA prognostic model performed favorably in predicting ESCC patient prognosis and benefits personalized clinical applications.

The objective of this study was to ascertain the potential causal linkage between platelet (PLT) counts and the incidence of gastric cancer (GC). This study employed a 2-sample Mendelian randomization (MR) approach, utilizing the inverse variance weighting, weighted median, and MR-Egger regression methodologies. The publicly accessible summary statistics dataset from the genome-wide association study pertaining to individuals of European ancestry (n = 145,648) was employed as the foundational resource for the exposure variable. Concomitantly, the non-cancer disease codes for GC (n = 6563), derived from individuals within the UK Biosample Bank, were utilized as the outcome measure. A set of 132 single-nucleotide polymorphisms exhibiting genome-wide significance were selected as instrumental variables, drawn from the genome-wide association studies focused on PLT counts. The application of the weighted median methodology yielded indications suggesting the possible absence of a causal relationship between PLT counts and GC (beta = 0.139, SE = 0.079, P = .077). Contrarily, the implementation of the inverse variance weighting technique produced results indicative of a potential causal relationship between PLT counts and GC (beta = 0.128, SE = 0.049, P = .009). The assessment of Cochran Q test and the scrutiny of funnel plots unveiled no discernible indications of heterogeneity or asymmetry, thus signifying the absence of directional pleiotropy. The outcomes derived from the MR analysis lend credence to the hypothesis that there exists a plausible causal relationship between erythrocyte pressure and an elevated susceptibility to gastric cancer.