The 26th World Conference on Lung Cancer (WCLC) was held in Barcelona during September 6-9, 2025. As the world's largest and most influential academic meeting in the field of lung cancer, this year's congress unveiled long-term follow-up data from several pivotal studies and significant advances in novel therapeutic strategies. In the realm of targeted therapy, a next-generation combination strategy has been established as the new standard of care for the first-line treatment of patients with advanced epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC), demonstrating a significant improvement in overall survival. In immunotherapy, novel combination regimens have not only addressed the therapeutic challenge of acquired resistance to EGFR targeted therapies, but also shown clear long-term survival benefits in both the perioperative and locally advanced settings. These findings pave the way for shifting the treatment paradigm to earlier stages for patients with NSCLC. Antibody-drug conjugates have made remarkable strides in this field. They have shown outstanding efficacy in patients with specific resistance mutations and those with brain metastases, and have also demonstrated immense potential in treating patients with HER2-aberrant lung cancer and broader NSCLC populations. This offers new therapeutic options for patients with refractory lung cancer.However, significant challenges remain, including the heterogeneity of resistance mechanisms, the selection of optimal treatment regimens, and management strategies for special populations. Future research should focus on identifying novel precision biomarkers and optimizing therapeutic strategies to ultimately improve clinical outcomes for all patients with lung cancer.

OBJECTIVE To construct a preoperative medication reconciliation model assisted by a localized large language model （LLM） for gastric cancer and evaluate its clinical efficacy. METHODS A total of 249 gastric cancer patients with a history of continuous medication before admission in the Gastric Surgery Department of Jiangsu Cancer Hospital were retrospectively enrolled. Patients were divided into training set （154 cases） and validation set （95 cases） based on the order of time. Based on guidelines， drug package inserts， and other evidence， a standardized medication reconcili ation process and a structured knowledge base were constructed. DeepSeek-V3 LLM was deployed privately in the hospital， combined with retrieval-augmented generation technology， to achieve automated integration of medication information， risk screening， and generation of personalized recommendations. The quality of LLM-generated recommendations was evaluated using automatic metrics （BERT Score and ROUGE-1， 2， L） and manual scoring [seven-dimensional index （7DI） ] . Spearman correlation analysis was performed to explore the correlation between automatic scores and manual scores. Cronbach’s α coefficient was used to test the internal consistency of manual scoring results. The time consumed by manual and LLM-assisted medication reconciliation was compared across tasks of different difficulty levels （simple， moderate， and high）. RESULTS A structured knowledge base covering 8 major drug categories was finally established， covering common and high-risk preoperative medication scenarios and providing structured retrieval support for the LLM. For automatic evaluation， the precision， recall， and F1-score of BERT Score were 0.783±0.033， 0.811±0.038， and 0.796±0.028， respectively. The F1-scores of ROUGE-1， ROUGE-2 and ROUGE-L were 0.566±0.067， 0.338±0.076 and 0.468±0.082， respectively. The 7DI scores from three manual raters ranged from 32.06 to 33.45. The F1-score of automatic scoring was significantly positively correlated with the 7DI score of manual scoring （maximum coefficient of determination＝0.611， P ＜0.001）， and the internal consistency of manual scoring was good （Cronbach’s α ＝ 0.876）. In terms of efficiency， LLM-assisted medication reconciliation reduced time consumption by more than 90% compared with manual reconciliation in the simple， moderate， and high-difficulty groups （ P ＜0.001）. CONCLUSIONS The medication reconciliation model constructed based on a localized LLM and structured knowledge base shows high accuracy， consistency， and clinical applicability in complex preoperative medication scenarios for gastric cancer. It can improve the efficiency of medication reconciliation and reduce potential medication risks.

Objective: To investigate the association between uric acid level and elevated blood pressure among children and adolescents in Guangzhou, so as to provide a scientific basis for prevention and control of hypertension in the pediatric population. Methods: From March to December 2019, using stratified cluster random sampling, 3 626 children and adolescents aged 6-17 years without elevated blood pressure at baseline were recruited from 6 primary and secondary schools in Guangzhou. Serum uric acid levels were measured at baseline, and divided into four groups ( Q1-Q 4) based on age and sex specific quartiles for analyses. Two waves of follow up were carried out from October 2020 to May 2021 and from October 2021 to May 2022, respectively. Multilevel robust Poisson regression was used to evaluate the association between uric acid level and elevated blood pressure among children and adolescents. The additive interaction between high uric acid level and sugar sweetened beverage (SSB) intake on elevated blood pressure was assessed by stratification analysis and calculation of the relative excess risk due to interaction (RERI). Results: A total of 1 131 new cases of elevated blood pressure were identified during the two follow ups, with an incidence density of 130.5 cases 1 000 person years. Multilevel robust Poisson regression analysis showed that after adjusting for confounders such as gender, age and annual family income, compared with those in the uric acid Q 1 level, the risk of elevated blood pressure in individuals in the Q 4 level increased by 25% ( RR=1.25, 95%CI =1.08-1.44), and the risk of elevated systolic blood pressure increased by 20% ( RR=1.20, 95%CI =1.05-1.36) (both P <0.05); no statistical association was observed between uric acid and elevated diastolic blood pressure (all P >0.05). In the stratified analysis, the statistical associations of uric acid Q 4 level with elevated blood pressure ( RR=1.34, 95%CI =1.13-1.58) and elevated systolic blood pressure ( RR=1.33, 95%CI =1.14-1.55) were only observed in the group with SSB intake ≥ 250 mL/week (both P <0.05). The RERI values for the effect of uric acid Q 4 and Q 3 levels with SSB intake ≥ 250 mL/week on elevated systolic and diastolic blood pressure were 0.29 and 0.44 (both P <0.05). Conclusions High uric acid level is a risk factor for elevated blood pressure among children and adolescents, with a predominant effect on systolic blood pressure. High uric acid level and SSB intake synergistically promote the increase of blood pressure of children and adolescents.

Ischemic stroke （IS） is a serious cerebrovascular disease with high clinical incidence. Cerebral ischemia and hypoxia can induce metabolic reprogramming of cellular glycolysis. Hypoxia-inducible factor-1α （HIF-1α） serves as the core transcription factor in the hypoxic response. This article systematically reviews the molecular mechanisms of HIF-1α-mediated glycolytic reprogramming， elaborates on the effects of this metabolic alteration on the functional status of different immune cells， and summarizes the research progress of traditional Chinese medicine （TCM） interventions in this pathological process. HIF-1α reshapes glucose metabolic flux and shifts cellular metabolism toward glycolysis by regulating the transcription of key genes， including glucose transporters， glycolytic rate-limiting enzymes， and mitochondrial oxidative inhibitors. This metabolic disturbance can regulate the activation status， phenotypic differentiation， and functional remodeling of microglia， astrocytes， and peripherally infiltrated immune cells， thereby participating in the mediation of neuroinflammatory responses after IS. Moreover， multiple signaling pathways and the metabolite of glycolysis lactate can exert feedback regulation on this metabolic-immune process. Various active components of TCM and herbal formulas， such as astragaloside Ⅳ， salvianolic acid C， Ginkgo biloba extract， and Mailuo shutong pills， can inhibit abnormal glycolysis， reduce lactate accumulation， and restore the homeostasis of glucose oxidative metabolism by regulating signaling pathways including AMP-activated protein kinase/mammalian target of rapamycin/HIF-1α， HIF-1α/pyruvate kinase M2， and HIF-1α/lactate dehydrogenase A. Consequently， they effectively alleviate neuroimmune inflammation and attenuate ischemic brain injury.

OBJECTIVE To compare the efficacy and safety of different classes of antibacterial agents in hospitalized adult patients with community-acquired pneumonia （CAP）.METHODS PubMed， Embase，the Cochrane Library，Web of Science，CNKI，and Wanfang data were searched from inception to January 1，2026，to identify randomized controlled trials that evaluated different classes of antibacterial agents in hospitalized adults with CAP.After screening the literature， extracting the data， and evaluating the quality of the literature， a network meta-analysis was performed using Stata 18.0.RESULTS A total of 25 studies were included，involving 7 863 patients. In terms of efficacy，compared with carbapenems，penicillins，cephalosporins，macrolides，and pleuromutilins were associated with significantly higher treatment failure rates （ P ＜0.05），carbapenems and traditional tetracyclines were ranked as the top two by the surface under the cumulative ranking curve area （SUCRA）. No statistically significant differences were observed in mortality among the interventions （ P ＞0.05），carbapenems and other quinolones were ranked as the top two by SUCRA. In terms of safety，no statistically significant differences were observed among the interventions in the incidence of adverse events or discontinuation rates （ P ＞0.05）；traditional tetracyclines and novel tetracyclines were ranked as the top two by SUCRA for the incidence of adverse events，while novel tetracyclines and pleuromutilins were ranked as the top two by SUCRA for discontinuation rates.CONCLUSIONS Carbapenems significantly reduced the treatment failure rate in hospitalized adults with CAP. The safety profiles of all antibacterial agents were comparable， with novel tetracyclines showing a more favorable safety profile.

The 2025 European Lung Cancer Congress (ELCC) convened in Paris, France, centering on the optimization and innovation of immunotherapy for non-small cell lung cancer (NSCLC). Key topics at the congress included the application strategies for perioperative immunotherapy, breakthroughs in combination therapy models for advanced NSCLC, and the emerging roles of biomarkers in predicting diverse treatment outcomes. This paper integrates data from several key pivotal studies to systematically analyze the clinical value of neoadjuvant therapy within the perioperative setting, the potential of targeted combination regimens, and the challenges of managing drug resistance, thus offering new directions for clinical practice.

Nucleotide-binding oligomerization domain (NOD)-like receptor protein 3 (NLRP3) is a cytosolic pattern recognition receptor that recognizes multiple pathogen-associated molecular patterns and damage-associated molecular patterns. It is a cytoplasmic immune factor that responds to cellular stress signals, and it is usually activated after infection or inflammation, forming an NLRP3 inflammasome to protect the body. Aberrant NLRP3 inflammasome activation is reportedly associated with some inflammatory diseases and metabolic diseases. Recently, there have been mounting indications that NLRP3 inflammasomes play an important role in liver injuries caused by a variety of diseases, specifically hepatic ischemia/reperfusion injury, hepatitis, and liver failure. Herein, we summarize new research pertaining to NLRP3 inflammasomes in hepatic injury, hepatitis, and liver failure. The review addresses the potential mechanisms of action of the NLRP3 inflammasome, and its regulation in these liver diseases.
Humans ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Inflammasomes/physiology* ; Animals ; Liver Diseases/metabolism* ; Liver/metabolism* ; Reperfusion Injury/metabolism*

(±)-Penicithrones A-D (1a/1b-4a/4b), four novel pairs of anthrone-cyclopentenone heterodimers characterized by a distinctive bridged 6/6/6-5 tetracyclic core skeleton, together with three previously identified compounds (5-7), were isolated from the crude extract of the mangrove-derived fungus Penicillium sp., guided by heteronuclear single quantum correlation (HSQC)-based small molecule accurate recognition technology (SMART 2.0) and liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based molecular networking. The structural elucidation of new compounds was accomplished through comprehensive spectroscopic analysis, and their absolute configurations were determined using DP4+ ¹³C nuclear magnetic resonance (NMR) calculations and electronic circular dichroism (ECD) calculations. Compounds 1a/1b-4a/4b demonstrated moderate cytotoxicity against three human cancer cell lines HeLa, HCT116 and MCF-7 with half maximal inhibitory concentration (IC₅₀) values ranging from 15.95 ± 1.64 to 28.56 ± 2.59 μmol·L^-1.
Humans ; Penicillium/chemistry* ; Molecular Structure ; Cyclopentanes/isolation & purification* ; Cell Line, Tumor ; Antineoplastic Agents/pharmacology* ; Tandem Mass Spectrometry ; Dimerization ; HeLa Cells ; Magnetic Resonance Spectroscopy

Objective:To analyze the role of interleukin-33(IL-33)in the occurrence and development of glioma and its related mechanism by bioinformatics technology,and to validate it through histopathological experiments,and to discuss the possibility of IL-33 as an auxiliary marker for the diagnosis and treatment of brain glioma.Methods:The glioblastoma multiforme/lower grade glioma(GBMLGG)case data were downloaded from the UCSC XENA database,including data of 689 glioma samples,5 paracancerous samples,and 1 152 normal brain tissue samples;Mann-Whitney U test was used to analyze the difference in the expression of IL-33 mRNA between the GBMLGG samples and the normal brain tissues;according to the expression level of IL-33 in GBMLGG tissue,the tumor samples were divided into IL-33 low expression group and IL-33 high expression group;the Human Protein Atlas(HPA)was used to validate the difference in the protein expression of IL-33 in the GBMLGG samples;the R language DESeq2(v.1.36.0)package was used to screen the differentially expressed genes(DEGs)in the GBMLGG tumor case samples;Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were used to perform pathway analysis on the DEGs;Gene Set Enrichment Analysis(GSEA)was used to discuss the pathways significantly enriched by IL-33 in the GBMLGG tissues;GSVA package was used to analyze the immune infiltration in the GBMLGG samples;survival package and survminer package were used to analyze the effect of IL-33 expression level on the survival of the patients in different clinical subgroups of GBMLGG;univariate and multivariate Cox proportional hazards regression models were used to analyze the relationship between IL-33 expression and the clinicopathological characteristics of the GBMLGG patients;the GBMLGG and control tissue samples were collected;immunohistochemical staining was used to detect the expression levels of IL-33 and its receptor suppression of tumorigenicity 2(ST2)in the GBMLGG and normal brain tissue samples.Results:The expression levels of IL-33 mRNA and protein in the GBMLGG tissues were significantly increased compared with those in normal brain tissues;there were 634 DEGs in total between the IL-33 low and high expression groups,including 283 up-regulated DEGs and 351 down-regulated DEGs;the GO functional enrichment analysis and KEGG signaling pathway enrichment analysis results showed that the DEGs were associated with biological behaviors such as activation of the classical pathway of complement,immunoglobulin complex formation,and mediated immunoglobulin receptor binding;in the course of GBMLGG development,high expression of IL-33 could degrade valine,leucine,and isoleucine,induce limonene and pinene degradation,promote propanoate metabolism,and simultaneously activate the Leishmania infection pathway,NOD-like receptor signaling pathway,and allograft rejection pathway;the infiltration levels of dendritic cell(DC)and mast cell in the IL-33 high expression group were higher than those in IL-33 low expression group;the infiltration levels of eosinophil,helper T cell,and central memory T cell(Tcm)were lower than those in IL-33 low expression group;the expression level of IL-33 was positively correlated with the infiltration of γδT cell(Tgd),helperT cell,macrophage,eosinophil,Tcm,and effector memory T cell(Tem)(P＜0.05);it was negatively correlated with the infiltration levels of DC,natural killer cell(NK),CD8+T cell,and CD56bright NK cell(P＜0.05).There were no significant differences in the overall survival(OS),disease-specific survival(DSS),and disease-free interval(DFI)of the GBMLGG patients between IL-33 high expression group and IL-33 low expression group(P＞0.05);the clinical subgroup analysis results showed that the expression level of IL-33 in oligodendrocytoma tissues was lower than those in astrocytoma and oligoastrocytoma tissues,and the expression level of IL-33 in glioblastoma tissues was higher than that in oligodendroglioma tissues.World Health Organization(WHO)stage and age were risk factors affecting the prognosis of the GBMLGG patients,and IDH mutation and primary treatment effect were protective factors affecting the prognosis;The immunohistochemical staining results showed that compared with normal brain tissues,the expression levels of IL-33 and its receptor ST2 proteins in the malignant glioma tissues were significantly increased(P＜0.05),and their expression levels were positively correlated in both normal brain tissues and malignant glioma tissues(P＜0.05).Conclusion:The expression level of IL-33 in the glioma tissue is significantly increased,and high expression of IL-33 may be a potential factor for poor prognosis in the glioma patients.

Objective:To compare the efficacy of various machine learning models in predicting renal function decline after robot-assisted partial nephrectomy(RAPN),and to provide evidence for clinical risk stratification.Methods:This study retrospectively in-cluded the clinical data of 733 patients with renal cell carcinoma undergoing RAPN at the Urology Department of The First Affiliated Hospital of Chongqing Medical University from January 2019 to December 2023.Demographic characteristics,laboratory indicators,and perioperative parameters were integrated to construct seven machine learning models.Key predictors were interpreted using Shap-ley additive explanations(SHAP).Model performance was evaluated using the area under the receiver operating characteristic curve(AUC).Results:The random forest model demonstrated the best predictive performance(AUC=0.84).SHAP analysis identified neutrophil-to-lymphocyte ratio,tumor diameter,the international normalized ratio of prothrombin time,white blood cell count,and in-traoperative blood loss as significant factors influencing postoperative renal function decline.Conclusion:This study provides a poten-tial predictive tool for clinical practice,aiding in identifying high-risk patients and optimizing postoperative management strategies.