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 study the pharmacokinetic characteristics of etoricoxib tablets in healthy Chinese subjects and to evaluate the bioequivalence and safety of the test and reference formulations.Methods In a randomised,single-dose,two-period,two-sequence crossover trial,28 healthy subjects were enrolled under the fasting and fed conditions,respectively,who received a single oral dose of 60 mg of etoricoxib tablets in the test or reference formulation.The concentration of etoricoxib in plasma was detected by LC-MS/MS,and the main pharmacokinetic parameters were calculated to evaluate bioequivalence and using WinNonlin 8.2 software.Results The main pharmacokinetic parameters of the test and reference preparations were as follows:The fasting condition Cmax of etoricoxib were(1 176.96±287.95)and(1 164.93±189.65)ng·mL-1;AUC0-t were(18 651.95±6 100.27)and(19 241.39±6 107.48)ng·h·mL-1;and AUC0-∞ were(19 939.15±7 553.27)and(20 536.31±7 223.40)ng·h·mL-1.The fed condition Cmax of etoricoxib were(913.50±184.72)and(878.59±164.35)ng·mL-1;and AUC0-t were(19 085.22±5 155.01)and(18 669.54±4 508.21)ng·h·mL-1;AUC0-∞ were(20 103.77±5 567.02)and(19 528.05±4 989.74)ng·h·mL-1.The 90％confidence intervals for the geometric mean ratios of the main pharmacokinetic parameters in the fasting and fed conditions fell between 80.00％and 125.00％.The incidence of adverse events in the fasting and fed conditions were 28.57％and 21.43％,respectively.Conclusion Two kinds of etoricoxib tablets are bioequivalent,and have similar safety in healthy Chinese subjects.

ObjectiveTo compare the development status of health facilities in different regions （non-agricultural and agricultural districts）and different types across four dimensions： organizational management， health environment， health activities， and health outcomes， to explore factors that may affect the current development status and summarize effective experiences， and to provide a foundation for the subsequent comprehensive， standardized， and effective promotion of health facility development and tiered and classified management. MethodsInvestigators conducted a health status survey based on the four dimensions for 50 health facilities in 16 districts of Shanghai， representing three types （including government agencies， enterprises， and communities）. Evaluation forms were filled out through on-site observation and document reviews， which were developed in accordance with the Shanghai Health Settings Evaluation Standards （for trial implementation in 2019）. ResultsThe average total score of health facilities in Shanghai was （88.42±11.93） points， with an overall excellence rate of 86.0%. The excellence rate of each dimension， from highest to lowest， were healthy environment （84.0%）， organizational management （82.0%）， health activities （78.0%）， and health outcomes （44.0%）. Health facilities in agricultural districts scored higher in both total score and average score on the organizational management dimension compared to non-agricultural districts. The excellence rate for the organizational management dimension was also higher in agricultural districts than in non-agricultural districts. There was no statistical significance in the total score， the score of each dimension， the overall excellence rate， and the excellence rate of each dimension among different types of health facilities （P>0.05）. ConclusionThe development of health facilities among government agencies， enterprises， and communities in Shanghai has begun to yield positive results. Health facilities in non-agricultural districts should actively draw on the experience of those in agricultural districts， particularly in organizational management， adjust development ideas and planning based on their own realities， so as to continuously improve the levels of development.