Increasing evidence suggests that oxidative stress plays an essential role during carcinogenesis. However, the underlying mechanism between oxidative stress and carcinogenesis remains unknown. Recently, microRNAs (miRNAs) are revealed to be involved in oxidative stress response and carcinogenesis. This study aims to identify miRNAs in hepatocellular carcinoma (HCC) cells which might involve in oxidative stress response. An integrated analysis of miRNA expression signature was performed by employing robust rank aggregation (RRA) method, and four miRNAs (miR‐34a‐5p, miR‐1915‐3p, miR‐638, and miR‐150‐3p) were identified as the oxidative stress‐responsive miRNAs. Pathway enrichment analysis suggested that these four miRNAs played an important role in antiapoptosis process. Our data also revealed miR‐34a‐5p and miR‐1915‐3p, but not miR‐150‐3p and miR‐638, were regulated by p53 in HCC cell lines under oxidative stress. In addition, clinical investigation revealed that these four miRNAs might be involved in oxidative stress response by targeting oxidative stress‐related genes in HCC tissues. Kaplan‐Meier analysis showed that these four miRNAs were associated with patients’ overall survival. In conclusion, we identified four oxidative stress‐responsive miRNAs, which were regulated by p53‐dependent (miR‐34a‐5p and miR‐1915‐3p) and p53‐independent pathway (miR‐150‐3p and miR‐638). These four miRNAs may offer new strategy for HCC diagnosis and prognosis.

The elderly are the majority of patients with non-small cell lung cancer (NSCLC). Compared to the overall population's predictive guidance, an effective predictive guidance for elderly patients can better guide patients' postoperative treatment and improve overall survival (OS) and disease-free survival (DFS). Recently, the long non-coding RNAs (lncRNAs) have been found to play an important role in predicting tumor prognosis. To identify potential lncRNAs to predict survival in elderly patients with NSCLC, in the present study, we chose 456 elderly patients with NSCLC and analyzed differentially expressed lncRNAs from four Gene Expression Omnibus (GEO) datasets (GSE30219, GSE31546, GSE37745 and GSE50081). We then constructed an eight-lncRNA formula to predict elderly patients' prognosis in NSCLC. Furthermore, we validated the prognostic values of the new risk model in two independent datasets, TCGA (n=670) and GSE31210 (n=130). Our data suggested a significant association between risk model and patients' prognosis. Finally, stratification analysis further revealed the eight-lncRNA signature was an independent factor to predict OS and DFS in stage I elderly patients from both the discovery and validation groups. Functional prediction revealed that 8 lncRNAs have potential effects on tumor immune processes such as lymphocyte activation and TNF production in NSCLC. In summary, our data provides evidence that the eight-lncRNA signature could serve as an independent biomarker to predict prognosis in elderly patients with NSCLC especially in elderly stage I patients.

Identification of differentially expressed genes, lncRNAs and miRNAs which are associated with tumor malignant phenotypes in hepatoblastoma patients Identification of differentially expressed genes, lncRNAs and miRNAs which are associated with tumor malignant phenotypes in hepatoblastoma patients

Diagnostic prediction of urinary [TIMP-2] x [IGFBP7] for acute kidney injury: A meta-analysis exploring detection time and cutoff levels Diagnostic prediction of urinary [TIMP-2] x [IGFBP7] for acute kidney injury: A meta-analysis exploring detection time and cutoff levels

Background Digestive tract cancers account for a significant proportion of the global cancer burden, and their prevention and treatment pose a worldwide challenge. Metformin, as a first-line treatment for diabetes, offers advantages such as high safety and affordability. Previous research has suggested that the use of metformin may reduce the risk of cancers, but there is still a lack of strong evidence regarding its causal relationship with digestive tract cancers. Methods We employed Mendelian randomization (MR) analysis to investigate the causal relationships between metformin use and various digestive tract cancers. We selected single nucleotide polymorphisms (SNPs) related to the Adenosine 5′-monophosphate (AMP)-activated protein kinase (AMPK), which is associated with the action of metformin, as instrumental variables. The inverse variance-weighted method (IVW) was the most important method. Cochran's Q was used to detect heterogeneity, and the MR-PRESSO test and MR-Egger regression were used to detect horizontal pleiotropy. Subsequently, we verified the toxicity and proliferation inhibition of metformin on Huh 7 and PLC in hepatocellular carcinoma cells. Results IVW results showed that metformin use reduced the risk of liver and bile duct cancers (OR = 0.994, 95% CI 0.990–0.999; P = 0.008), but there were no causal relationships with other digestive tract cancers. Our cell experiments have confirmed this point. Conclusion Metformin may be used for the prevention or treatment of liver and bile duct cancers.

Acute pancreatitis (AP), an acute inflammatory condition commonly encountered in patients admitted to intensive care unit, is mainly caused by gallstones,