Clinical-radiomics nomogram for predicting esophagogastric variceal bleeding risk noninvasively in patients with cirrhosis

Clinical outcomes of transcatheter selective superior mesenteric artery urokinase infusion therapy vs transjugular intrahepatic portosystemic shunt in patients with cirrhosis and acute portal vein thrombosis

The most common cause of hepatocellular carcinoma (HCC) is chronic hepatitis and cirrhosis. It is proposed that precancerous lesions of HCC include all stages of the disease, from dysplastic foci (DF), and dysplastic nodule (DN), to early HCC (eHCC) and progressed HCC (pHCC), which is a complex multi-step process. Accurately identifying precancerous hepatocellular lesions can significantly impact the early detection and treatment of HCC. The changes in high-grade dysplastic nodules (HGDN) were similar to those seen in HCC, and the risk of malignant transformation significantly increased. Nevertheless, it is challenging to diagnose precancerous lesions of HCC. We integrated the literature and combined imaging, pathology, laboratory, and other relevant examinations to improve the accuracy of the diagnosis of precancerous lesions.

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Hepatocellular carcinoma (HCC) is one of the leading malignant carcinomas. Despite the advancement in the treatment for HCC, such as precise hepatectomy, radiotherapy, transarterial therapies, chemotherapy, targeted treatments, and immunotherapy, the 5-year overall survival rate of HCC is extremely low. Hence, novel biomarkers are urgently needed for advancing the therapy and prognosis of HCC. Neurexophilin 4 (NXPH4) is a neuropeptide-like glycoprotein. The study is designed to investigate the function of NXPH4 in HCC through a comprehensive bioinformatics analysis. NXPH4 expression status and prognostic values were analyzed via multiple datasets, such as TCGA, GEO, and ICGC. The association between NXPH4 and immune cell infiltration was estimated by TIMER, TISIDB, and CIBERSORT. In vitro, we explored the biological function of NXPH4 in JHH7 and SNU182 cells through knocking down the expression of NXPH4 via siRNA. In general, NXPH4 was predominantly upregulated in HCC tumors, and increased NXPH4 expression predicted unfavorable prognosis. The gene enrichment analysis displayed that NXPH4 was related with metabolic pathways. NXPH4 expression was correlated with immune cell infiltration. NXPH4 knockdown significantly suppressed proliferation, migration, and invasion of JHH7 and SNU182 cells. This study suggested that the upregulation of NXPH4 is associated with adverse prognosis and immune cell infiltration in HCC. NXPH4 could be a novel biomarker of unfavorable prognosis and an underlying target for immunotherapy in HCC.

Background: Coronavirus disease 2019 (COVID-19) was first reported in China at the end of 2019. Several case studies have documented a probable association between infection with severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) and acute pancreatitis (AP). The objective of this study was to provide a complete analysis of existing literature that compares the clinical outcomes of AP in patients with COVID-19 and those without COVID-19. The intention was to further our understanding of the involvement of SARS-CoV-2 in the development of pancreatitis. Methods: Between January 2019 and December 2022, we searched PubMed, Embase, Cochrane Library, Web of Science, and Scopus. Nine studies (3,160 patients) were included. In this meta-analysis, Stata 12.0. was utilized. The information provided in this study is presented following the MOOSE reporting checklist. Results: Mortality [odds ratio (OR) =3.95, 95% confidence interval (CI): 2.87, 5.43, P<0.001], intensive care unit (ICU) administration (OR =3.74, 95% CI: 2.26, 6.20, P<0.001), mechanical ventilation (OR =4.84, 95% CI: 2.14, 10.96, P<0.001), severe pancreatitis (OR =2.71, 95% CI: 1.04, 7.04, P=0.042), etiology of idiopathic and unknown (OR =4.75, 95% CI: 1.80, 12.56, P=0.002), necrotizing pancreatitis (OR =1.88, 95% CI: 1.28, 2.76, P=0.001), and length of hospital stay [weighted mean difference (WMD) =5.10, 95% CI: 2.79, 7.41, P<0.001] were more significantly increased in AP cases with COVID-19 than those without it. Conclusions: In conclusion, the findings of this study indicate a potential worsening of AP outcomes in patients affected by COVID-19.