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 2024 World Conference on Lung Cancer (WCLC) and the European Society for Medical Oncology (ESMO) Annual Meeting, two of the most prestigious events in oncology, have concluded sequentially. As the most authoritative annual gatherings in lung cancer and the entire oncology field, the WCLC and ESMO conferences brought together top oncology experts and scientists from around the world to share, discuss, and publish the latest cutting-edge advancements in oncology. In both conferences, lung cancer immunotherapy remained a hot topic of considerable interest. This article aims to summarize and discuss the important research progress on perioperative immunotherapy for non-small cell lung cancer reported at the two conferences.

The 2025 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held from January 23 to 25, 2025. Several significant studies on the treatment of esophageal and gastroesophageal junction (GEJ) cancer were presented at the symposium, highlighting notable advances, particularly in the perioperative and advanced settings. Immunotherapy has demonstrated significant promise in the neoadjuvant treatment of esophageal cancer, showing potential to become a standard treatment. Furthermore, the long-term survival benefits of combining immunotherapy with chemotherapy for advanced GEJ cancer were further validated. This article summarizes and interprets the researches presented at the symposium concerning perioperative and advanced treatments for esophageal and GEJ cancers.

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 explore the influencing factors for implementation of weight management services in primary medical and healthcare institutions, so as to provide references for implementing sustainable services of weight management. Methods: From May to June 2025, Pinghu City, Zhejiang Province was selected as the survey site. Personnel responsible for weight management in primary medical and healthcare institutions were selected as the survey subjects using a combined method of purposive sampling and snowball sampling. Based on the five core domains of the consolidated framework for implementation research (CFIR), a semi-structured interview outline for weight management services in primary medical and healthcare institutions was designed. Original data was collected through face-to-face semi-structured interviews. Interview data was organized and analyzed using framework analysis. Factors affecting weight management services were quantitatively analyzed by referencing CFIR's structural rating criteria. Results: A total of 21 participants completed interviews, covering positions in nutrition, endocrinology, traditional Chinese medicine, general practice, maternal health, and public health. There were 9 males and 12 females. Fifteen participants (71.43%) were aged 35 years and above, 18 (85.71%) held a bachelor's degree or higher, and 15 (71.43%) were frontline medical staff. Fifteen factors affecting weight management services were identified across five domains: innovation, outer setting, inner setting, individuals, and implementation process. Six barrier factors were identified: difficulties in policy implementation, time-consuming interventions, limited incentive measures, lack of professional skills, unclear weight-loss plans and goal setting, and imperfect follow-up and evaluation mechanisms. Three neutral factors were identified: the development and refinement of policies and regulations, the implementation of weight management training, and the optimization of the referral process within integrated healthcare systems (medical alliances / communities). Six facilitating factors were identified: the relatively significant advantages of lifestyle interventions, collaboration and coordination across multiple departments, cooperative communication among different units within the institution, the inherent convenience of primary care settings, a strong sense of professional responsibility, and the establishment of multidisciplinary teams. Conclusions The delivery of weight management services in primary medical and healthcare institutions is influenced by a wide array of factors across multiple domains. It requires policy support, multi-department coordination, a practice-oriented training system, optimized team resource allocation, incentives, and improved professional skills of medical staff to jointly promote long-term implementation.

Objective:To evaluate the clinical utility of left atrial strain parameters and left atrioventricular global longitudinal strain（LAVGLS）in detecting cardiovascular immune-related adverse events（CV-irAEs）among non-small cell lung cancer patients receiving immune checkpoint inhibitors（ICIs）.Methods:A total of 68 patients with non-small cell lung cancer were prospectively enrolled in Tianjin Medical University Cancer Institute and Hospital from October 2023 to October 2024. All patients were treated with ICIs for 6 cycles. Electrocardiogram，cardiac serological markers and echocardiography were examined before medication（T0 stage），4 cycles after medication（T1 stage）and 6 cycles after medication（T2 stage），respectively. According to the guidelines of the American Society of Clinical Oncology，all patients were divided into the CV-irAEs group（ n=14）and the No-CV-irAEs group（ n=54）. AFI software and 4D Auto LAQ software were used to calculate LVGLS，left atrial reservoir longitudinal strain（LASr），LAVGLS and a series of left atrial parameters. Cox proportional hazards regression model was applied to find the risk factors for the occurrence of CV-irAEs. ROC curve was applied to analyze the diagnostic efficiency of these parameters for CV-irAEs. Results:Fourteen patients（20.6%）developed CV-irAEs after T2 stage. After ICIs treatment，LVGLS，LASr and LAVGLS decreased in both groups，LVGLS，LASr and LAVGLS decreased more significantly in the CV-irAEs group than those in the No-CV-irAEs group（ P=0.038，0.047，0.005）. Left ventricular ejection fraction（LVEF）decreased in the CV-irAEs group at the same time（ P=0.003）. Cox multivariate analysis showed that ΔLAVGLS（the difference between stage T0 and stage T2）was a risk factor for CV-irAEs（ HR：1.395， P=0.019）. ROC curve analysis showed the area under the curve of LVGLS，LASr，LAVGLS，ΔLVGLS，ΔLASr，ΔLAVGLS，and LVEF at the T2 stage for diagnosis of CV-irAEs were 0.68，0.67，0.75，0.79，0.73，0.82，and 0.72，respectively. Conclusions:Decline of LAVGLS is a risk factor for CV-irAEs in patients with non-small cell lung cancer receiving ICIs and can be used for early detection of CV-irAEs. LASr has potential diagnostic value for CV-irAEs，but it is less valuable than LVGLS and LAVGLS.

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 observe and analyze the clinical phenotype and genetic characteristics of COL2A1 and COL11A1 de novo mutation (DNM) related Stickler syndrome type Ⅰ and Ⅱ patients. Methods:A family-based cohort study. From December 2023 to November 2024, 4 patients (all probands) with Stickler syndrome diagnosed by clinical and genetic testing in Department of Ophthalmology of People's Hospital of Ningxia Hui Autonomous Region and their parents (8 cases) were included in the study. The patients came from 4 unrelated families. A detailed medical history was taken, and the patients underwent best-corrected visual acuity (BCVA), refraction, and fundus color photography examinations. Systemic examinations included the oral and facial regions, skeletal, joints, and hearing. Peripheral venous blood samples were collected from the patients and their parents, and genomic DNA was extracted. Whole-exome sequencing was used to screen for pathogenic genes and their loci, which were then validated by Sanger sequencing and combined with segregation analysis in the families to identify candidate gene mutation sites. The candidate variants were assessed for pathogenicity according to the American College of Medical Genetics and Genomics (ACMG) criteria and guidelines for the classification of genetic variants. Additionally, cross-species conservation analysis was performed to determine the evolutionary conservation of wild-type amino acids, and protein three-dimensional modeling techniques were used to characterize the spatial conformational changes of the variant proteins and the alterations in their local hydrogen bond networks.Results:Among the 4 patients, there were 2 males and 2 females; their ages ranged from 3 to 12 years. There were 2 cases of Stickler syndrome type Ⅰ (proband of families 1 and 2) and 2 cases of type Ⅱ (proband of families 3 and 4). The diopters ranged from -8.00 to-18.00 D. BCVA ranged from no light perception to 0.6 -. There were 2 cases each of vitreous membrane-like and "bead-like" opacity. Three cases showed peripapillary atrophy arcs and leopard pattern changes in the retina; one case had bilateral retinal detachment with a large macular hole in the left eye, which had previously been treated with vitrectomy surgery. One case had bilateral sensorineural hearing loss. There were 3 cases of simple micrognathia; one case had a flat nasal bridge, short nose, midface depression, and micrognathia. Two cases had excessive elbow joint extension. The phenotypes of the parents of the 4 patients were normal. Genetic testing results revealed that the probands of families 1 and 2 carried COL2A1 gene c.85+1G>C (M1) splice site variant and c.3950_3951insA (p.M1317Ifs*48) (M2) frameshift variant, respectively; the probands of families 3 and 4 carried COL11A1 gene (NM_001854.4) c.2549 G>T (p.G850V) (M3) missense variant and c.3816+6T>C (M4) splice site variant, respectively. The parents did not carry the related gene variants. Among them, M2, M3, and M4 are newly reported DNM. According to the ACMG guidelines, they were all considered likely pathogenic. The cross-species conservation analysis results showed that the wild-type amino acid of the COL11A1 gene M3 missense variant was highly conserved across multiple different species. Protein local structure modeling analysis revealed that the COL2A1 gene M2 frameshift variant and the COL11A1 gene M3 missense variant significantly altered the tertiary structure conformation of the protein, leading to abnormal spatial arrangement and hydrogen bond network in the key functional domains Conclusion:The COL2A1 gene M1 splice site variant, M2 frameshift variant, and the COL11A1 gene M3 missense variant, M4 splice site variant are respectively the potential pathogenic genes for families 1, 2, and families 3, 4; leading to the onset of Stickler syndrome type Ⅰ in families 1 and 2, and type Ⅱ in families 3 and 4.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.