Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective To explore the antitumor effects of metformin on ovarian cancer cells in vitro, particularly on tumor cell proliferation, cell cycle, apoptosis, migration, and possible mechanism. Methods Ovarian cancer cell lines (A2780, CAOV3, and SKOV3) were treated with different concentrations of metformin. Their proliferation was explored using the MTT and clone formation assays, cell migration was examined using the scratch and Transwell assays, and cell cycle and apoptosis were examined using flow cytometry. In addition, metformin’s effects on the phosphorylation of AMPK and mTOR and the expression of CXCR4 and Wnt/β-catenin protein was measured by Western blot. Results The survival rates of ovarian cancer cells decreased significantly with increasing metformin concentration and metformin treatment time. The IC₅₀ values of metformin at 48 h for A2780, CAOV3, and SKOV3 cells were 16.36, 36.65, and 43.44 mmol/L, respectively. Compared with the control group, the clone formation ability and cell migration ability of ovarian cancer cells were significantly inhibited by metformin treatment and cell cycle arrested at the G₀/G₁ phase, and the apoptosis rate increased. As metformin concentration increased, the expression of phosphorylated AMPK protein gradually increased, and the expression levels of phosphorylated mTOR, CXCR4, Dvl3, β-catenin, cyclin D1, and CDK1 decreased. Conclusion Metformin exerts an antitumor effect on ovarian cancer cells, which is related to the activation of AMPK to inhibit CXCR4-mediated Wnt/β-catenin signaling pathway.

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Objective To investigate the effect of different doses of statins on the clinical efficacy and safety outcome of intravenous thrombolytic therapy of urokinase in patients with acute ischemic stroke(AIS).Methods Based on a large prospective,multicenter study,the Chinese Intravenous Thrombolysis Registry for AIS within 4.5 h of onset(INTRECIS)database,clinical data of 898 patients with urokinase intravenous thrombolysis for AIS were retrospectively analyzed.According to the amount of statin used during hospitalization,the patients were divided into 132 patients in no-statin group,591 patients in conventional statin group and 175 patients in intensive statin group.Clinical outcome measures included 14-day improvement in the National Institutes of Health Stroke Scale(NIHSS)and 90-day excellent prognosis(improved Rankin score≤1 point).Safety measures included recurrent stroke,bleeding events,and 90-day all-cause mortality.Results After adjusting for differences in baseline characteristics(age,coronary heart disease,diabetes,atrial fibrillation,systolic blood pressure,OTT,DNT,previous anti-plate use,blood glucose,and treatment in Class A hospitals),NIHSS scores improved at 14 days after admission and excellent prognosis at 90 days after admission in convention-dose and intensive statin groups were superior to those in no-statin group(P<0.05);Univariate and multivariate analysis of safety outcome indicators showed no statistically significant differences in stroke recurrence and bleeding events among the three groups(P>0.05);The 90-day all-cause mortality was significantly higher in no-statin group(10.6%)than in convention-dose statin group(2.0%)and intensive dose statin group(2.9%)(P<0.01).Conclusions In patients with AIS who were treated with intravenous urokinase thrombolytic therapy,intensive statin use was associated with improved 14-day NIHSS score and near-term prognosis without increasing the risk of stroke recurrence and bleeding events.Statin use is beneficial to reduce mortality.