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.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

Objective To investigate the effects of pulsed radiofrequency(PRF)with intercostal nerve block on analgesia analgesia effect,cognitive function and postoperative delirium in elderly patients undergoing thoracoscopic lung surgery.Methods Ninety elderly patients undergoing thoracoscopic lung surgery in our hospital were randomly divided into the control group(intercostal nerve block with local anesthetic drugs)and the PRF group(PRF with intercostal nerve block).The pain score,analgesic effect,cognitive function,postoperative delirium and neurological dysfunction of the two groups were compared.Results The pain scores of resting and coughing state 48 hours and 72 hours after surgery in the PRF group were significantly lower than those in the control group(P<0.05).The number of analgesic pump compression and proportion of supplemental analgesia within 72 hours after surgery and perioperative sufentanil dosage in the PRF group were significantly less than those in the control group(P<0.05).The cognitive function scores 48 hours and 72 hours after surgery in the PRF group were significantly higher than those in the control group(P<0.05).The incidence of delirium 72 hours after surgery in the PRF group was significantly lower than that in the control group(P<0.05).There was no significant difference in the incidence of intercostal nerve dysfunction 1 month,2 months and 3 months after surgery between the two groups(P>0.05).Conclusion PRF with intercostal nerve block can effectively relieve pain after elderly thoracoscopic lung surgery,reduce postoperative opioid consumption,improve postoperative cognitive function,and decrease postoperative delirium incidence without affecting the intercostal nerve function,which is safe and reliable.

This study explored the antibiotic resistance and resistance gene carriage of 140 Salmonella strains isolated from environmental sewage in Guangzhou city between March 1,2022,and November 30,2022.The micro broth dilution method was used to select 17 antibiotics for susceptibility testing.According to whole genome sequencing results,the CARD resistance database was used to obtain corresponding resistance genes.High antimicrobial resistance rates above 80％were observed a-gainst ampicillin,tetracycline,streptomycin,chloramphenicol,and cotrimoxazole.The intermediation rate of polymyxin E and ciprofloxacin exceeded 60％.The multiple drug resistance status was severe,and the rate of multiple drug resistance was as high as 92.86％.The strains carried multiple types of resistance genes,particularly for aminoglycosides,with a carriage rate as high as 92.68％.The resistance of Salmonella in environmental wastewater in Guangzhou to one or more drugs was severe,and the overall multi-drug resistance rate gradually increased over time.The resistance spectrum was diverse,and the resistance mechanism,mediated by mobile genetic elements such as re-sistance genes,was found to be the main cause of resistance to one or more drugs.

Mytilus is one of bivalves with great economic and ecological values.The innate immune de-fense of Mytilus shows great significance in the study of marine biological immunology.Hemolymph is the main immune tissue for Mytilus.The Nanopore full-length transcriptome of Mytilus coruscus hemocytes,and the serum differential proteomics based on SDS-PAGE analysis were performed to identify key pro-teins involving in the immune response of Mytilus hemolymph in response of different bacteria and fungi stresses.A total of 44 proteins were identified in the serum induced by different microorganisms.Among them,26 proteins showed significant differential expression level in response to different microbial stres-ses,and their functions were involved in protein folding protection,cell autophagy and apoptosis regula-tion,reactive oxygen species production,energy metabolism regulation,cell detoxification,and immune regulation.The changes in expression levels of these proteins varied in response to different bacterial and fungal stresses,suggesting that Mytilus has different immune response strategies to different bacterial and fungal stresses.The results provide a new scientific basis for understanding the differential immune mech-anism of Mytilus innate immune system in response to different types of microbial invasion,as well as the screening of specific biomarker proteins for microbial infection,and provide ideas for the healthy develop-ment and disease prevention of shellfish aquaculture.

Perilla frutescens,a short-day plant,is rich in biologically active substances and nutrients.Current research on Perilla frutescens focuses on agronomic traits such as yield and fatty acid accumula-tion,with limited exploration of the flowering process and floral organ development.The molecular regu-latory mechanisms underlying these aspects remain unclear.FLOWERING LOUC T(FT)is a florigen in Arabidopsis,plays critical roles in floral transition.PfFT3 is unannotated by genome but annotated by transcriptomics data to the FT-like subfamily.Its function in controlling flowering is yet to be explored.Here subcellular localization analysis showed that PfFT3 is localized in the nucleus and cytoplasm.The plant over-expression vector pCAMBIAI1303-PfFT3 was constructed and transformed into wild-type(Col-0)and mutant fd-2,fd-3,and ft-10 plants by agrobacterium-mediated inflorescence infiltration as a means of obtaining genetically stable and pure overexpression and backfill transgenic lines in Arabidopsis,respectively.Analysis of the results showed that overexpression of PfFT3 significantly promoted early flowering in Arabidopsis and rescued the late-flowering phenotype of the mutants fd-2,fd-3,and ft-10,and that expression of the exogenous PfFT3 promoted the expression of the downstream endogenous flow-ering genes AtSOC1,AtAP1,AtFUL,and AtLFY.This study demonstrates the positive role of PfFT3 in promoting flowering,providing a foundation for further investigation of PfPEBP function and advancing the breeding of early-flowering Perilla frrutescens cultivars.

Objective:To explore and analyze the clinical features and prognostic factors of secondary intestinal diffuse large B-cell lymphoma(SI-DLBCL),in order to provide reference for the basic research and clinical diagnosis and treatment of secondary lymphoma of rare sites in the field of hematology.Methods:The clinical data of 138 patients with SI-DLBCL admitted to Fujian Medical University Union Hospital from June 2011 to June 2022 were collected and sorted,the clinical and pathological features,diagnosis,treatment and prognosis were analyzed.Cox regression risk model was used to conduct univariate and multivariate analysis on the prognostic risk factors.Results:Among the 138 patients with SI-DLBCL included in this study,85(61.59％)were male,53(38.41％)were female,the median age of onset was 59.5(16-84)years,the clinical manifestations lacked specificity,the first-line treatment regimen was mainly chemotherapy(67.39％),94 cases(68.12％)received chemotherapy alone,40 cases(28.98％)were treated with chemotherapy combined with surgery,and 4 cases(2.90％)were treated with surgery alone.The median follow-up time was 72(1-148)months.Among the 138 patients with SI-DLBCL,79(57.25％)survived,34(24.64％)died,25 cases(18.12％)lost to follow-up,the PFS rates of 1-year,3-year and 5-year were 57.97％,49.28％and 32.61％,and the OS rates of 1-year,3-year and 5-year were 60.14％,54.35％and 34.06％,respectively.The results of univariate Cox regression analysis showed that age,Lugano stage and IPI score were the influencing factors of OS in SI-DLBCL patients,and age,Lugano stage and IPI score were the influencing factors of PFS in SI-DLBCL patients.The results of multivariate Cox analysis showed that Lugano stage was an independent prognostic factor affecting OS and PFS in SI-DLBCL patients.Conclusion:Patients with SI-DLBCL are more common in middle-aged and elderly men,and the early clinical manifestations lack specificity,and the first-line treatment regimen is mainly R-CHOP chemotherapy,and Lugano stage is an independent prognostic factor affecting OS and PFS in SI-DLBCL patients.

Objective:To evaluate the gene mutation profile and prognostic significance of adult cytogenetically normal acute myeloid leukemia (CN-AML) with CEBPA-bZIP mutation. Methods:Targeted sequencing was implemented on the diagnostic bone marrow DNA samples of 141 adult CN-AML subjects with CEBPA-bZIP mutation. The nomogram model for leukemia-free survival (LFS) rate was generated by combining genetic abnormalities and clinical data. Risk stratification was conducted based on prognostic variables and the effect of risk-adjusted consolidation therapy was investigated by Kaplan-Meier method. Results:Four variables were finally included in our nomogram model after multivariate Cox analysis,and an equation for risk score calculation was obtained,risk score=1.3002×white blood cell (WBC) (≥18.77×109/L)+1.4065×CSF3R mutation positive+2.6489×KMT2A mutation positive+1.0128×DNA methylation-related genes mutation positive. According to the nomogram model,patients were further divided into low-risk group (score=0,n=46) and high-risk group (score>0,n=95). Prognostic analysis showed that the 5-year LFS rate,5-year overall survival (OS) rate,and 5-year cumulative incidence of relapse (CIR) of patients who received allogeneic hematopoietic stem cell transplantation (allo-HSCT) in the high-risk group were 93.5％,97.1％,and 3.5％,while those in patients who received maintenance chemotherapy were 32.9％,70.5％,and 63.4％,respectively. The differences were statistically significant (all P<0.05). Allo-HSCT could significantly improve the prognosis of patients in high-risk group. However,no corresponding benefit was observed in the low-risk group. Conclusion:Adult CN-AML with CEBPA-bZIP mutation has a complex co-mutation pattern. The nomogram model based on mutations of CFS3R,KMT2A and DNA methylation-related genes together with WBC count can further divide this subset of patients into a relatively low-risk group and a relatively high-risk group. For individuals in the high-risk group,allo-HSCT is proposed as post-remission therapy. The above data will benefit the prognosis estimation and treatment decision for adult CN-AML with CEBPA-bZIP mutation.