Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C₀), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug‍-‍drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage* ; Drug Monitoring/methods* ; Humans ; Organ Transplantation ; Immunosuppressive Agents/administration & dosage* ; Delphi Technique

Background and aims:Inflammatory factors play significant roles in the development and occurrence of hepatocellular carcinoma(HCC).However,the tumor-protective functions of growth differentiation factors(GDFs)in HCC are yet to be clarified.In this study,we aimed to evaluate the expression levels of 10 GDFs in tumor and paratumor tissues from patients with HCC and perform in vitro and in vivo ex-periments to elucidate the role of GDF7 in regulating the proliferation and metastasis of HCC.Methods:The gene expression of 10 GDFs was compared between HCC and paratumors using The Cancer Genome Atlas dataset and patient-derived tissues.A tumor microarray containing 108 HCC tissue samples was used to explore the prognostic value of GDF7 expression.Loss-of-function experiments were also performed in vitro and in vivo to investigate the role of GDF7 in HCC.Results:The mRNA and protein levels of GDF7 were significantly lower in HCC tumors than in para-tumors(P＜0.001).Kaplan-Meier analysis showed that decreased GDF7 expression in HCC was asso-ciated with worse overall survival(5-year rate:61.8％vs.27.5％,P＜0.001)and increased recurrence risk(P＜0.001).Multivariate Cox regression analysis demonstrated that low GDF7 expression,the presence of microvascular invasion,and elevated alpha-fetoprotein(AFP)levels were independent risk factors for tumor recurrence and poor survival.Downregulation of GDF7 also increased the tumor growth in HCC cells and in an HCC xenograft model.GDF7 knockdown promoted migration and invasion via epithelial-mesenchymal transition.Meanwhile,a negative correlation between JunB proto-oncogene(JUNB)and GDF7 was observed in HCC tissues.Modulating JUNB levels altered GDF7 protein expression.Conclusions:GDF7 is a potential biomarker for predicting superior outcomes in patients with HCC.GDF7 amplification is a potential therapeutic option for HCC.

Objective To evaluate the prognostic significance of the candidate selection Hangzhou criteria for liver transplantation of HCC patients undergoing hepatectomy.Methods 199 HCC patients undergoing hepatectomy between 2009 and 2011 were enrolled retrospectively.Predictors of survival were identified using the Kaplan-Meier method.The disease state was staged by the Hangzhou criteria (HC) and Milan staging systems.Calculating the area under the receiver operating characteristic (ROC) curve (AUC) evaluates the discriminatory ability for the prediction of survival of both staging system.Results Portal vein thrombosis,poor differentiation,and tumor size (＞ 8 cm) were independent risk factors for survival after hepatectomy.Milan criteria and Hangzhou criteria functioned well in predicting tumor-recurrence.For 1-year AUROC,the AUROC for Milan criteria and Hangzhou criteria are 0.602 and 0.741,respectively.For 3-year AUROC,the AUROC for Milan criteria and Hangzhou criteria are 0.643 and 0.733,respectively.Conclusions The HC were shown to be a promising survival predictor in a Chinese cohort of HCC patients after hepatectomy.