Objective: This study aims to reveal epidemiological features and trends of liver cancer (LC) in China.Methods: We retrieved data from the Global Burden of Disease database 2019. Joinpoint regression was used to examine the temporal trend of LC. Future trends of LC were estimated using the Nordpred.Results: The incidence, mortality, and disability-standardized life year (DALY) rate of LC declined in China from 1990 to 2019. Among >210,000 LC cases in 2019, the LC incidences were nearly 3.15 times higher in males than in females. LC cases and LC-associated deaths were mostly found among patients aged 65 to 69 years. The proportion of LC attributable to hepatitis B decreased over time, whereas the proportions of LC attributable to hepatitis C, alcohol use, and non-alcoholic steatohepatitis increased modestly from 1990 to 2019. The majority of LC-associated deaths could be traced to four risk factors: smoking (20%), drug use (13.6%), alcohol use (11.7%), and high body mass index (10.1%). Based on the Nordpred prediction, there will be a steady decline in the incidence (39.0%) and mortality (38.3%) of liver cancer over a 25-year period from 2020 to 2044.Conclusion: The disease burden of liver cancer in China has declined over the past 30 years. However, it remains important to control liver cancer among high-risk populations, especially elderly males with obesity, alcohol use, tobacco use, and/or drug abuse.

We aimed to investigate the expression of lncRNA Kcnq1ot1 in T2DM patients with OA, as well as its correlation with serum inflammatory factors and clinical outcomes of the patients. This prospective observational cohort study included a total of 50 patients with type 2 diabetes mellitus (T2DM), 50 patients with osteoarthritis (OA), and 51 patients with both T2DM and OA between March 2020 and March 2023. The serum TNF-α, interleukin (IL)-6, IL-1β and C-reactive protein (CRP) levels were measured using enzyme-linked immunosorbent assay (ELISA). To determine the expression of LncRNA Kcnq1ot1, RT-qPCR was used. Demographic, clinical statistics, lipid metabolism and nutritional indicators were collected. All data used SPSS 26.0 to statistical analyses. The T2DM + OA group had significantly higher BMI and LDLC levels compared to the T2DM group (p < 0.05). The serum levels of LncRNA Kcnq1ot1 were significantly higher in the T2DM + OA group compared to the OA group and T2DM group (p < 0.05). Pearson’s analysis supported a positive correlation between LncRNA Kcnq1ot1 and IL-6 and IL-1β levels. In addition, LncRNA Kcnq1ot1 could be a potential biomarker for diagnosing the occurrence of T2DM patients with OA. Moreover, LncRNA Kcnq1ot1, BMI, IL-6, Low density lipoprotein cholesterol (LDLC) were the risk factors for T2DM patients with OA. This study showed that the serum LncRNA Kcnq1ot1 levels was remarkably elevated in T2DM patients with OA. This study might provide new targets and a comprehensive approach to treatment in T2DM patients with OA.

Osteosarcoma (OS) is a cancer that is frequently found in children and adolescents and has made little improvement in terms of prognosis in recent years. A recently discovered type of programmed cell death called cuproptosis is mediated by copper ions and the tricarboxylic acid (TCA) cycle. The expression patterns, roles, and prognostic and predictive capabilities of the cuproptosis regulating genes were investigated in this work. TARGET and GEO provided transcriptional profiling of OS. To find different cuproptosis gene expression patterns, consensus clustering was used. To identify hub genes linked to cuproptosis, differential expression (DE) and weighted gene co-expression network analysis (WGCNA) were used. Cox regression and Random Survival Forest were used to build an evaluation model for prognosis. For various clusters/subgroups, GSVA, mRNAsi, and other immune infiltration experiments were carried out. The drug-responsive study was carried out by the Oncopredict algorithm. Cuproptosis genes displayed two unique patterns of expression, and high expression of FDX1 was associated with a poor outcome in OS patients. The TCA cycle and other tumor-promoting pathways were validated by the functional study, and activation of the cuproptosis genes may also be connected with immunosuppressive state. The robust survival prediction ability of a five-gene prognostic model was verified. This rating method also took stemness and immunosuppressive characteristics into account. Additionally, it can be associated with a higher sensitivity to medications that block PI3K/AKT/mTOR signaling as well as numerous chemoresistances. U2OS cell migration and proliferation may be encouraged by PLCD3. The relevance of PLCD3 in immunotherapy prediction was verified. The prognostic significance, expressing patterns, and functions of cuproptosis in OS were revealed in this work on a preliminary basis. The cuproptosis-related scoring model worked well for predicting prognosis and chemoresistance.

Epithelial-mesenchymal transition (EMT) can promote carcinoma progression by multiple mechanisms; many studies demonstrated the invasiveness of pancreatic adenocarcinoma (PAAD) associated with the EMT, but how it acts through an lncRNA-dependent manner is unknown. Here, we investigated 146 samples from The Cancer Genome Atlas (TCGA) and 92 samples from the International Cancer Genome Consortium (ICGC). By gene set variation analysis (GSVA) and weighted correlation network analysis (WGCNA), we explored the EMT-related long noncoding RNAs (EMTlnc). Then, we performed univariate Cox regression analysis to screen their prognostic value for PAAD. The least absolute contraction and selection operator (LASSO) Cox regression was used to establish EMT-related lncRNA prognostic signal (EMT-LPS). In addition, we established a competitive endogenous ceRNA network. Then, we identified 33 prognostic EMTlnc as prognostic lncRNAs and established an EMT-LPS which showed strong prognostic ability in stratification analysis. By corresponding risk scores, patients were divided into low-risk and high-risk subgroups. Principal component analysis (PCA) showed that these subgroups had individual EMT status. Enrichment analysis showed that in the high-risk subgroup, biological processes, pathways, and hallmarks related to malignant tumors are more common. What is more, we constructed a nomogram that had powerful ability to predict the overall survival rate (OS) of PAAD patients in two datasets. So, EMT-LPS are a principal element in PAAD’s carcinoma progression and may help us in choosing the way of prognosis assessment and provide some clues to design the new drugs for PAAD.

Background: Epithelial-Mesenchymal Transition (EMT) can promote carcinoma progression by multiple mechanisms, many studies demonstrated the invasiveness of pancreatic adenocarcinoma (PAAD) associated with the EMT, but how it acts in a lncRNA dependent manner is unclear. Methods: We investigated 146 PAAD samples from The Cancer Genome Atlas (TCGA) and 92 samples from the International Cancer Genome Consortium (ICGC). Gene set variation analysis (GSVA) and weighted correlation network analysis (WGCNA) were applied to explore the EMT related long non-coding RNAs (EMTlnc). Univariate Cox regression analysis was performed to screen their prognostic roles in PAAD patients. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to establish an EMT-related lncRNA prognostic signature (EMT-LPS). We also established a competing endogenous RNA (ceRNA) network. Results: 33 prognostic EMTlnc were identified as prognostic lncRNAs and an EMT-LPS were established. We divided the patients into low- and high-risk subgroups according to corresponding risk scores. The EMT-LPS showed a powerful prognostic predicting ability in stratification analysis. Principal component analysis (PCA) showed the low- and high-risk subgroups had distinct EMT status. Enrichment analysis indicated malignancy correlated biological processes, pathways and hallmarks were more common in the high-risk subgroup. Moreover, we constructed a nomogram that had a strong ability to forecast the overall survival (OS) of the PAAD patients in both datasets. Conclusion: EMT-LPS are important factors in the carcinoma progression of PAAD and may help in decision making regarding the choice of prognosis assessment and provide us clues to design the new drugs for PAAD.