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.

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.

Objective:To investigate the related factors of cognitive impairment in middle-aged and old-aged patients with type 2 diabetes mellitus(T2DM).Methods:A total of 970 patients with T2DM(585 middle-aged group and 385 old-aged group)were selected from residents of a large community in Beijing from September to December 2018.The Mini-Mental State Examination(MMSE)was used to assess the cognitive func-tion.Multivariate logistic regression was used to analyze the related factors.Results:The detection rates of cognitive impairment were 12.0％and 13.5％in middle-aged and old-aged patients with T2DM,respectively.Among mid-dle-aged patients with T2DM,work(OR=0.22,95％CI:0.03-0.77)and education at the junior college or un-dergraduate level and above(OR=0.18,95％CI:0.04-0.55)were protective factors for cognitive impair-ment.Myocardial infarction(OR=4.13,95％CI:1.26-13.63)was a risk factor for cognitive impairment.Among old-aged patients with T2DM,drinking tea 1-2 times a week(OR=0.11,95％CI:0.01-0.58)and education at the junior college or undergraduate level and above(OR=0.19,95％CI:0.05-0.54)were protective factors for cognitive impairment.Stroke(OR=3.64,95％CI:1.55-8.39)and good sleep self-assessment(OR=2.75,95％CI:1.13-7.35)were risk factors for cognitive impairment.Conclusion:Cognitive impairment in middle-aged pa-tients with T2DM is related to work,education level and myocardial infarction,and cognitive impairment in old-aged patients with T2DM is related to lifestyle,education level and stroke.

In order to understand the infection status of Escherichia coli(E.coli)in different popu-lations of chickens,E.coli was isolated and identified from 1-day-old chickens,dead embryos,clini-cal dead chickens from 3 hatcheries and 9 broiler farms in Yantai area,and 1 950 samples from e-liminated breeder chickens;the homology of the isolated strains was analyzed by pulsed field gel e-lectrophoresis;virulence genes and serotypes were identified by PCR;pathogenicity was determined by challenge chicken embryos.Drug resistance of the strain was determined by drug sensitivity test.Results showed that a total of 116 strains of E.coli were isolated,of which 97 strains were successfully classified into 66 band types,15 virulence genes and 5 serotype were detected by PCR,and 56,32 and 28 strains were divided into high,medium and low pathogenic strains by chicken embryo challenge test.Results indicated that E.coli from clinically dead chickens and eliminated breeder chickens had higher pathogenicity and drug resistance.This study provides a reference ba-sis for the prevention and control of colibacillosis in chicken farms.

Objective To explore the diagnostic efficacy of machine learning in predicting perineural invasion(PNI)of invasive breast cancer based on MRI imaging features of breast cancer.Methods The data of 294 patients with invasive breast cancer confirmed by surgical pathology were retrospectively analyzed,and the patients were randomly divided into training set(205 cases,PNI 77 cases)and validation set(89 cases,PNI 33 cases)at a ratio of 7∶3.10 machine learning models were constructed by selecting training set clinical and radiographic features using single factor logistic regression.The area under the curve(AUC),accuracy(ACC),sensitivity(SE),specificity(SP),positive predictive value(PPV),and negative predictive value(NPV)were used to evaluate the predictive effi-cacy of different models for PNI,and the best model was determined.SHapley Additive exPlanation(SHAP)was used to visuaize the diagnosis process of the model.Results In the validation set,the multi-layer perceptron(MLP)model performed best,with AUC,ACC,SE,SP,PPV,and NPV of 0.91,0.89,0.79,0.95,0.90,and 0.88,respectively.Conclusion The model of MRI imaging fea-tures of breast cancer constructed by MLP machine learning model can effectively predict the preoperative PNI of invasive breast cancer.

Objective:To explore the influencing factors of the therapeutic effect of fiberoptic bronchoscopic alveolar lavage (BAL) in children with severe pneumonia (SP), and the relationship between pulmonary ultrasound parameters and the clearance rates of procalcitonin (PCT) and C-reactive protein (CRP) after treatment.Methods:A total of 284 children with SP admitted to the Yan ′an People′s Hospital from February 2019 to October 2023 were selected as the research subjects; According to the prognosis after 30 days of treatment, they were divided into the good prognosis group ( n=213) and the poor prognosis group ( n=71). The changes of PCT clearance rate, CRP clearance rate and Lung Ultrasound Score (LUS) before and after treatment were compared between the two groups. The correlation between indexes was analyzed using the multiple linear regression (MLR) model. The odds ratio ( OR) of risk factors was calculated using the multivariate logistic regression model. The dose-response relationship was evaluated using the restricted cubic spline (RCS) model. The receiver operating characteristic (ROC) curve was used to analyze the predicting value of each index for poor prognosis after 30 days of treatment. Results:Compared with the good prognosis group, the CRP clearance rate and PCT clearance rate of children in the poor prognosis group were lower 7-14 days after treatment (all P<0.05), and the LUS was higher (all P<0.05). The MLR analysis results showed that LUS was negatively correlated with both CRP clearance rate and PCT clearance rate (all P<0.05), and there was still a significant correlation after adjusting for confounding factors (all P<0.05). The results of logistic regression analysis showed that after excluding confounding factors (Model 4), LUS, PCT clearance rate, and CRP clearance rate were independent risk factors for poor prognosis in children with SP after 30 days of treatment (all P<0.05). The results of RCS analysis showed that there was a nonlinear relationship between the continuous changes of LUS, PCT clearance rate and CRP clearance rate and the risk of poor prognosis in children with SP after 30 days of treatment (nonlinear tests all P<0.001). The combined accuracy of LUS, PCT clearance rate and CRP clearance rate in predicting the poor prognosis of children with SP after 30 days of treatment was relatively high ( P<0.05, AUC>0.75). Conclusions:The clearance rates of LUS and CRP, as well as PCT, are all associated with poor prognosis in children with SP, and the decreased clearance rates of CRP and PCT are independent factors for predicting the increase of LUS. The combined clearance rates of LUS and CRP, as well as PCT, can accurately predict the risk of poor prognosis in children.

Neovascular fundus diseases mainly include neovascular age-related macular degeneration(nAMD)and dia-betic retinopathy(DR).Pathological neovascular leakage and the subsequent retinal detachment are the main causes of se-vere visual impairment.Anti-vascular endothelial growth factor(VEGF)is the first-line treatment for neovascular fundus diseases,but it has shortcomings,such as the need for frequent intravitreal injections and poor patient compliance.With the annually increasing incidence of acquired neovascular fundus diseases like nAMD and DR,there is an urgent need for safer and more long-lasting treatment options.In recent years,the field of gene therapy has advanced rapidly,with thera-peutic strategies mainly involving gene supplementation and editing.The mechanism underlying gene therapy can be suc-cinctly described as the correction of pathological alterations induced by defective genes.This is achieved either by the in-troduction of exogenous functional genes to restore normal cellular processes or by directly editing aberrant genes at the ge-nomic level.Extensive basic and clinical research has demonstrated that gene therapy is both safe and effective.There are dozens of clinical trials on retinal gene therapy being carried out currently,focusing not only on inherited retinal diseases but also on neovascular fundus diseases.In this article,the application of the gene supplementation,clustered regularly in-terspaced short palindromic repeats(CRISPR)and CRISPR-associated protein 9(Cas9)system in the treatment of nAMD and DR is summarized.

Objective To evaluate the impact of lens capsule diameter and capsular tension ring(CTR)fit on the ro-tational stability and visual function of Toric intraocular lenses(IOLs)in patients with high myopia cataract after surgery,and to explore the main influencing factors.Methods A prospective study included 100 eyes of patients with high myopia(axial length≥26 mm)who underwent phacoemulsification cataract extraction combined with Toric IOL implantation at the Cataract Department of Hebei Eye Hospital from September 2023 to March 2024.Based on the ratio of the capsule equivalent diameter measured by anterior segment OCT(CASIA2)to the standard diameter of CTR,the eyes were divided into the matched group(ratio of 0.8-1.2)and the unmatched group.Follow-up was conducted at 1 week,1 month,3 months,6 months,and 12 months postoperatively to observe the rotation angle of Toric IOL,residual astigmatism,uncor-rected visual acuity,and other indicators.Safety was assessed based on intraoperative and postoperative complications.Correlation analysis and multiple linear regression were used to explore the impact of capsule-CTR fit,corneal astigmatism,axial length,and other factors on Toric IOL rotation and postoperative refractive status.Results The mean IOL rotation angle at each postoperative time point in the matched group was significantly smaller than that in the unmatched group,with statistically significant differences between groups at different time points(all P＜0.05).The matched group showed better stability in IOL decentration distance and tilt angle.At 12 months postoperatively,the residual astigmatism in the matched group was(0.53±0.29)D,which was better than that in the unmatched group(0.71±0.34)D(P=0.08).The matched group also had more significant improvement in uncorrected visual acuity and higher subjective visual quality scores.Multiple linear regression analysis showed that capsule-CTR fit and preoperative corneal astigmatism were the main independent factors affecting the rotation angle of Toric IOL(R2=0.52)and residual astigmatism(R2=0.46).Conclu-sion For patients with high myopia cataract,precise capsule-CTR matching based on CASIA2 measurement helps improve the rotational stability of Toric IOLs,reduce residual astigmatism,and enhance postoperative visual quality.Personalized CTR model selection is worth promoting and applying.

Objective:To construct a communication skills assessment scale for newly employed nurses, verify the reliability and validity of the scale in a simulated setting, and develop and construct an effective and structured assessment tool for the communication skills of newly employed nurses.Methods:The Chinese version of the Liverpool Communication Skills Assessment Scale was modified and two rounds of expert consultation were conducted to construct the communication skills assessment scale for newly employed nurses. A total of 194 newly employed nurses at a tertiary hospital between 2024 and 2025 were selected using convenience sampling. Data were collected using a teacher-based evaluation method during simulated communication scenarios. The performance of the nurses was scored, and the reliability and validity of the scale were analyzed.Results:The final version of the scale consisted of 4 dimensions and 11 items, and can be used in both workplace-based and simulation-based evaluations. The expert authority coefficients of both rounds were greater than 0.70. The Kendall's W coordination coefficients for the two rounds of consultation were 0.278 and 0.309 for workplace-based evaluations and 0.256 and 0.295 for simulation-based evaluations. The coefficients of variation for the 11 items in both application scenarios were <0.250. The total Cronbach's alpha coefficient of the scale was 0.805 and the total split-half reliability coefficient was 0.814. In the two application scenarios, the item-level content validity index ranged from 0.769 to 1.000 (all >0.750). The scale-level content validity index was 0.916 and 0.909 (>0.900), respectively, in the workplace-based and simulation-based evaluations. The exploratory factor analysis extracted a total of four common factors, with a cumulative variance contribution of 69.09%, and all item loadings on their corresponding factors exceeded 0.500. Conclusions:The communication skills assessment scale for newly employed nurses has moderate and validated content and number of items. The scale demonstrates high reliability and validity in simulation-based evaluations, and can be used as an effective tool for assessing the communication skills of newly employed nurses.