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.

MRGPRX2 antagonists possess the potential for the treatment of allergic rhinitis, atopic dermatitis, and chronic urticaria. Previously, we identified a class of diaryl urea (DPU) MRGPRX2 antagonists with sub-micromolar IC₅₀ values in vitro. However, the structure-activity relationship remains unclear. Herein, we adopted a "relative symmetry with electronegativity of different key-groups" strategy for further modification of DPUs to achieve a promising MRGPRX2 antagonist with higher activity and safety. Electrostatic potential energy analysis and biological evaluation revealed that B-1023 and B-5023, that possess relatively symmetric electron-withdrawing substituents, remarkable inhibited mast cell degranulation at a sub-micromolar IC₅₀ in vitro and alleviated anaphylactic symptoms. Furthermore, B-1023, mitigated antigen-induced pulmonary inflammation (AIPI) in mice and competitively bonded to MRGPRX2. In summary, the "relative symmetry with electronegativity of different key-groups" strategy provided a drug design pattern for MRGPRX2 antagonists and identified promising antiallergic precursors for AIPI treatment.

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*

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.

Currently, researchers have identified several mutated genes associated with hereditary eye diseases; however, effective therapeutic options remain scarce. The emergence of clustered regularly interspaced short palindromic repeats(CRISPR)and its associated proteins(CRISPR-associated proteins, Cas)offers a promising approach for treating these diseases. CRISPR/Cas9 enables precise targeting and modification of specific genetic sequences, allowing for the correction of mutated genes, as well as knockout or replacement of pathogenic genes to achieve therapeutic effects. In ophthalmology, CRISPR/Cas9 has been applied to various hereditary eye disorders, including corneal dystrophy, congenital cataracts, glaucoma, and retinitis pigmentosa. Additionally, significant progress has been made to utilize CRISPR/Cas9 to develop disease models. Therefore, it has great potential for clinical applications. However, challenges such as delivery efficiency and off-target effects remain. This review summarizes the mechanism of CRISPR/Cas9, its applications in genetic eye diseases and disease models, as well as the existing challenges, aiming to provide new insights for treatment.

Ultrasonography（US）is the first-line imaging modality recommended by domestic and international guidelines for liver tumor screening，owing to its non-invasive nature，real-time dynamic imaging capability，cost-effectiveness，and operational convenience. In recent years，the integration of artificial intelligence（AI）and medical imaging has emerged as a major research focus. By leveraging large-scale data training，AI models can automatically recognize and analyze input imaging data and generate predictive outcomes. Notably，AI-based ultrasound imaging technology has achieved breakthrough advancements in the diagnosis and treatment of liver tumors. These innovations significantly improve diagnostic accuracy，optimize treatment strategies，predict disease progression and prognosis，and monitor therapeutic response. This article provides a comprehensive review of the latest applications and research progress of AI in ultrasound-based diagnosis and treatment of liver tumors.

Objective:To explore the differences in the whole-brain functional connectivity characteristics of magnetoencephalography gamma sub-band in resting state between patients with depression with high and low suicidal ideation.Methods:Clinical data of 60 patients with depression (depression group) who visited the Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University from October 2021 to June 2024 were prospectively collected, including 20 males and 40 females aged 16-41 years. During the same period, 75 healthy controls (healthy control group) were recruited, matched for gender and age, comprising 33 males and 42 females, aged 18-43 years. The Hamilton Depression Scale-17 items (HAMD-17) was used to assess the degree of depression in patients, and the score of the third item was used to divide the patients into a high suicidal ideation group of 37 cases (2-3 points) and a low suicidal ideation group of 23 cases (0-1 points). The Beck Scale for Suicide Ideation-Chinese Version (BSI-CV) was used to assess the intensity of suicidal ideation in patients in the last week and at the most severe stage. Brain imaging data of the subjects were collected using a CTF-275 channel magnetoencephalography device and a 3 T magnetic resonance imaging device. The functional connectivity matrix of the gamma sub-band depression group, healthy control group, high suicidal ideation group, and low suicidal ideation group was calculated using the envelope correlation method. The network-based statistics (NBS) algorithm was used to correct for multiple comparisons and compare the differences in brain network functional connectivity between the depression group/healthy control group and between the high/low suicidal ideation groups.Results:Compared with the healthy control group, the functional connectivity between the bilateral middle frontal gyrus, right inferior frontal gyrus orbital part, right anterior cingulate gyrus, left middle frontal gyrus orbital part, and right superior parietal lobule in the depression group was significantly enhanced in the low gamma frequency band (30-60 Hz) ( θ=3, P=0.042). Compared with the low suicidal ideation group, the functional connectivity between the right amygdala as a central node and the right superior frontal gyrus, left hippocampus, right upper temporal pole, and left transverse temporal gyrus in the high suicidal ideation group was significantly enhanced in the high gamma frequency band (60-90 Hz) ( θ=3, P=0.049). Conclusion:In the low gamma frequency band, patients with depression have neural dysfunction mainly in the frontal lobe. In the high gamma frequency band, patients with high suicidal ideation have functional connectivity abnormalities centered on the amygdala.

Objective:To conduct signal detection and analysis of cardiovascular-related adverse events associated with second-generation H1 antihistamines(sgAH)in the elderly population, utilizing the Food and Drug Administration adverse event reporting system(FAERS)database.The findings provide a reference for assessing the clinical drug safety of sgAH in the elderly.Methods:A cross-sectional study was conducted.Four methods were utilized to detect signals of cardiovascular-related adverse events associated with sgAHs in the FAERS database, covering the period from the first quarter of 2004 to the first quarter of 2024.These methods included the reporting odds ratio, the Medicines and Healthcare Products Regulatory Agency method, the Bayesian Confidence Propagation Neural Network method, and the multi-item gamma Poisson shrinker method.Subgroup analyses were performed on both the overall population and the elderly population(aged ≥65).Results:A total of 1 065 reports of cardiovascular-related adverse events involving sgAHs such as loratadine, desloratadine, cetirizine, levocetirizine, and fexofenadine were collected.In the overall population, palpitations were identified as a positive signal, while desloratadine also demonstrated positive signals for tachycardia and prolonged electrocardiogram QT interval.In the elderly population, both palpitations and prolonged electrocardiogram QT interval were recognized as positive signals, exhibiting higher information component(IC)values and empirical Bayesian geometric mean(EBGM)values compared to the overall population.Furthermore, loratadine and desloratadine were also identified as positive signals for prolonged electrocardiogram QT interval in the elderly.Conclusions:Palpitations have been identified as a significant indicator of cardiovascular-related adverse events associated with sgAHs.Elderly patients should be particularly vigilant regarding the risk of prolonged QT intervals on electrocardiograms.

OBJECTIVE: To review the research progress and challenges of poly (L-lactic acid) (PLLA) membrane in preventing tendon adhesion. METHODS: The relevant literature at home and abroad in recent years was extensively searched, covering the mechanism of tendon adhesion formation, the adaptation challenge and balancing strategy of PLLA, the physicochemical modification of PLLA anti-adhesion membrane and its application in tendon anti-adhesion. In this paper, the research progress and modification strategies of PLLA membranes were systematically reviewed from the three dimensions of tissue adaptation, mechanical adaptation, and degradation adaptation. RESULTS: The three-dimensional adaptation of PLLA membrane is optimized by combining materials (such as hydroxyapatite, polycaprolactone), structural design (multilayer/gradient membrane), and drug loading (anti-inflammatory drug). The balance between anti-adhesion and pro-healing is achieved, the mechanical adaptation significantly improve, and degradation is achieved (targeting the degradation cycle to 2-4 weeks to cover the tendon repair period). CONCLUSION In the future, it is necessary to identify the optimal balance point of three-dimensional fitness, unify the evaluation criteria and solve the degradation side effects through the co-design of physicochemical modification and drug loading system to break through the bottleneck of clinical translation.
Tissue Adhesions/prevention & control* ; Polyesters/chemistry* ; Humans ; Biocompatible Materials/chemistry* ; Tendons/surgery* ; Membranes, Artificial ; Tendon Injuries/surgery* ; Wound Healing ; Animals ; Durapatite/chemistry*