Construction of an RNA modification-related gene predictive model associated with prognosis and immunity in gastric cancer.

BACKGROUND: Gastric cancer (GC) is one of the most common causes of cancer-related fatalities worldwide, and its progression is associated with RNA modifications. Here, using RNA modification-related genes (RNAMRGs), we aimed to construct a prognostic model for patients with GC. METHODS: Based on RNAMRGs, RNA modification scores (RNAMSs) were obtained for GC samples from The Cancer Genome Atlas and were divided into high- and low-RNAMS groups. Differential analysis and weighted correlation network analysis were performed for the differential expressed genes (DEGs) to obtain the key genes. Next, univariate Cox regression, least absolute shrinkage and selection operator, and multivariate Cox regression analyses were performed to obtain the model. According to the model risk score, samples were divided into high- and low-risk groups. Enrichment analysis and immunoassays were performed for the DEGs in these groups. Four external datasets from Gene Expression Omnibus data base were used to test the accuracy of the predictive model. RESULTS: We identified SELP and CST2 as key DEGs, which were used to generate the predictive model. The high-risk group had a worse prognosis compared to the low-risk group (p < 0.05). Enrichment analysis and immunoassays revealed that 144 DEGs related to immune cell infiltration were associated with the Wnt signaling pathway and included hub genes such as ELN. Overall mutation levels, tumor mutation burden, and microsatellite instability were lower, but tumor immune dysfunction and exclusion scores were greater (p < 0.05) in the high-risk group than in the low-risk group. The validation results showed that the prediction model score can accurately predict the prognosis of GC patients. Finally, a nomogram was constructed using the risk score combined with the clinicopathological characteristics of patients with GC. CONCLUSION: This risk score from the prediction model related to the tumor microenvironment and immunotherapy could accurately predict the overall survival of GC patients.

Laparoscopic repair of complete intrathoracic stomach with iron deficiency anemia: A case report.

BACKGROUND: Giant paraesophageal hiatal hernias (HH) are very infrequent, and their spectrum of clinical manifestations is large. Giant HH mainly occurs in elderly patients, and its relationship with anemia has been reported. For the surgical treatment of large HH, Nissen fundoplication is the most common antireflux procedure, and the reinforcement of HH repair with a patch (either synthetic or biologic) is still debatable. CASE SUMMARY: We report on a case of giant paraesophageal HH in a middle-aged male patient with reflux symptoms and severe anemia. After performing a series of tests and diagnostic approaches, results showed a complete intrathoracic stomach associated with severe iron deficiency anemia. The patient underwent successful laparoscopic hernia repair with mesh reinforcement and Nissen fundoplication. Postoperatively, reflux symptoms were markedly relieved, and the imaging study showed complete reduction of the hernia sac. More importantly, anemia was resolved, and hemoglobin, serum iron and ferritin level were returned to the normal range. The patient kept regular follow-up appointments and remained in a satisfactory condition. CONCLUSION: This case report highlights the relationship between large HH and iron deficiency anemia. For the surgical treatment of large HH, laparoscopic repair of large HH combined with antireflux procedure and mesh reinforcement is recommended.