With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective: To examine the prevalence of e-cigarette use and associated factors among primary and secondary school students in Pudong New Area, Shanghai, and to explore the pathways linking harm perception of e-cigarettes, interpersonal social influence, and attitudes toward e-cigarette use with experimentation behavior, in order to provide scientific basis for further optimizing the prevention and control strategies of e-cigarette among adolescents. Methods: From September to October 2025, a multi stage cluster random sampling method was used to select 5 144 primary and secondary school students aged 8-19 years from 47 primary and secondary schools in Pudong New Area, Shanghai, to conduct an anonymous questionnaire survey. The questionnaire collected information on e-cigarette use, harm perception of e-cigarette, interpersonal social influence, and attitudes toward e-cigarette use. The Chi-square test was applied to analyze the differences in cigarette and e-cigarette use behavior among primary and secondary school students with different demographic characteristics. Structural equation modeling (SEM) was constructed using Mplus 8.3 software, and the bootstrap method was utilized to test the mediating effects. Results: The reported rates of cigarette experimentation, e-cigarette experimentation, and current e-cigarette use among primary and secondary school students were 1.85%, 2.10%, and 0.70%, respectively. Higher reporting rates of e-cigarette experimentation were observed among boys (2.82%), secondary school students aged 16-19 (3.39%), senior high school students (3.05%), and those with weekly pocket money >100 yuan ( 6.11% ) ( χ 2=11.67, 8.61, 8.00, 54.18, all P <0.05). Structural pathway analysis results demonstrated that e-cigarette harm perception positively predicted interpersonal social influence ( β =0.61) and e-cigarette use attitude ( β = 0.53 ), and interpersonal social influence ( β =0.65) and e-cigarette use attitude ( β =0.25) further promoted e-cigarette experimentation behavior among primary and secondary school students (all P <0.01), with interpersonal social influence playing a major mediating role (indirect effect=0.40). Conclusions E-cigarette experimentation behavior among primary and secondary school students in Pudong New Area is jointly influenced by multiple psychosocial factors. Intervention strategies should strengthen interpersonal social factors such as family and peers on the basis of health education, thereby constructing a comprehensive prevention and control strategy for e-cigarette use among primary and secondary school students.

With the aging population and the widespread implementation of lung cancer screening programs, an increasing number of elderly patients are undergoing curative lung resection. Due to diminished physiological reserve and complex comorbidities, this demographic exhibits a significantly higher incidence of severe perioperative complications (defined as Clavien-Dindo grade≥Ⅲ), which adversely affects both perioperative safety and long-term prognosis. In recent years, the research paradigm has shifted from univariate analysis toward multidimensional risk integration and the development of predictive models. This article systematically reviews the key risk factors for severe perioperative complications in elderly lung cancer patients, encompassing biological aging processes, frailty and sarcopenia, cardiopulmonary and renal functional reserves, inflammatory-immune and coagulation status, and perioperative interventions. Furthermore, it traces the evolution of risk assessment tools from traditional regression models to machine learning models that integrate multimodal data. The review also discusses common challenges in this field, including the standardization of outcome definitions, external validation, calibration assessment, and clinical translation. Future efforts should prioritize the deep integration of predictive tools with clinical decision support systems to establish a closed-loop care pathway from risk identification to stratified intervention, thereby effectively reducing complication rates and enhancing surgical outcomes for elderly lung cancer patients.

Background/Aims: Biliary tract cancer (BTC) frequently harbors KRAS mutations, which are associated with resistance to traditional treatment and a poor prognosis. Synthetic lethality (SL) strategy may provide other targets of KRAS. Therefore, we aim to identify and validate potential therapeutic targets of KRAS for the treatment of BTC via SL. Methods: The dependency (DepMap) projects were used to predict the synthetic lethal gene of KRAS. FDA-approved anticancer drug library was applied to screen potential drugs effective against KRAS-mutant BTC. Furthermore, the synthetic lethal effects or corresponding mechanisms of potential genes and drugs on BTC were investigated using KRAS-mutant and KRAS-wild type BTC cell lines, patient-derived xenografts (PDX), and KRAS oncogene-driven tumor models, as well as other KRAS-mutant cancer cell lines. Results: Initially, we discovered that the loss of GATA2 reduced the viability of KRAS-mutant but not KRAS-wild-type BTC. Subsequently, the drug library screened out disulfiram, which primarily exerts a synthetic lethal effect by inhibiting interleukin-1β (IL-1β) in KRAS-mutant BTC. Mechanistically, GATA2 specifically enhanced the transcription of IL-1β to promote NF-κB signaling in KRAS-mutant BTC. IL-1β inhibition phenocopied GATA2 deficiency, leading to reduced KRAS-mutant BTC viability. These synthetically lethal effects were confirmed using PDX, a KRAS oncogene-driven tumor model, as well as in other KRAS-mutant cancer cell lines. Conclusions In summary, these results indicate that inhibiting GATA2/IL1β could be a therapeutic strategy in KRAS-mutant BTC and potentially other cancers.

[摘 要] 目的：探讨含溴结构域蛋白1（BRD1）通过调控PI3K/AKT信号通路影响非小细胞肺癌（NSCLC）进展的作用机制。方法：利用TIMER 3.0数据库评估BRD1作为免疫治疗标志物的预测价值。利用慢病毒体系构建稳定过表达BRD1及N端截短突变体BRD1-ΔN的人肺癌细胞A549和NCI-H1299。采用CCK-8实验、克隆形成实验、划痕愈合实验及Transwell实验检测过表达BRD1/BRD1-ΔN对细胞增殖和迁移能力的影响；流式细胞术和Western blotting检测细胞凋亡水平及凋亡相关蛋白的变化。RNA-seq筛选受BRD1/BRD1-ΔN影响的信号通路，Western blotting及体外激酶实验验证BRD1/BRD1-ΔN过表达对AKT磷酸化的调控作用。采用AKT抑制剂LY294002处理过表达BRD1/BRD1-ΔN的NCI-H1299细胞，结合功能实验（CCK-8实验、划痕愈合实验）明确过表达BRD1/BRD1-ΔN促进细胞的增殖和迁移是否依赖AKT活化。通过RNA-seq联合KEGG/GSEA分析、免疫共沉淀（Co-IP）、RT-qPCR，鉴定整合素α2（ITGA2）是促进AKT活化的关键分子；通过Co-IP、敲低ITGA2、Western blotting及功能实验明确ITGA2在BRD1调控AKT活化中的具体作用。结果：数据库分析显示，BRD1可作为NSCLC免疫治疗的中等预测标志物（AUC = 0.625）。过表达BRD1/BRD1-ΔN显著增强了NSCLC细胞的增殖和迁移能力（P < 0.01或P < 0.001），但不影响细胞凋亡及凋亡相关蛋白的表达（均P > 0.05）；RNA-seq分析表明过表达BRD1/BRD1-ΔN主要富集于PI3K/AKT信号通路。Western blotting及体外激酶实验显示，BRD1/BRD1-ΔN过表达不影响AKT上游激酶（PDK1）的磷酸化，也不改变AKT的乙酰化修饰水平（均P > 0.05）；AKT抑制剂LY294002处理过表达BRD1/BRD1-ΔN细胞，发现BRD1/BRD1-ΔN促细胞增殖和迁移的作用部分依赖AKT的活化；RT-qPCR及Western blotting证实，BRD1过表达可上调ITGA2的mRNA和蛋白水平，敲低ITGA2则可逆转BRD1诱导的AKT激活及细胞增殖和迁移能力的增强。结论：BRD1是NSCLC的一种新型促癌因子，其通过上调ITGA2表达激活AKT信号通路，进而促进肺癌细胞的增殖和迁移。

ObjectiveTo investigate the potential mechanism of Yiqi Yangyin Huoxue Formula （益气养阴活血方， YYHF） in the treatment of membranous nephropathy （MN） based on the NOX4-mediated stromal cell-derived factor-1α（SDF-1α）/CXC chemokine receptor 4 （CXCR4） signaling pathway. MethodsA total of 42 male SD rats were randomly divided into blank group （n=6） and modeling group （n=36）. The modeling rats were given a single injection of sheep antirat Fx1A （6 ml/kg） serum into the tail vein to establish MN model. Thirty-six rats with successful modeling were further divided into model group （normal saline， 10 ml/kg）， benazepril group （10 mg·kg^-1·d^-1）， the medium-dose YYHF group （11.0 g·kg^-1·d^-1） and high-dose YYHF group （22.0 g·kg^-1·d^-1）， with 9 rats in each group. All groups received daily intragastric administration for 6 consecutive weeks. During the experimental period， the general condition of rats in each group was observed. After gavage administration finished， a fully automated biochemical analyzer was used to measure the 24-hour urine total protein （24 h-UTP） and serum biochemical parameters， including albumin （ALB）， aspartate aminotransferase （AST）， blood urea nitrogen （BUN）， serum creatinine （SCr）， total cholesterol （TC）， and triglyceride （TG）. Hematoxylin-eosin （HE） staining and periodic acid-silver metheramine （PASM） staining were used to observe the histopathological changes of renal tissues in each group of rats. The levels of superoxide dismutase （SOD） and malondialdehyde （MDA） in renal tissues were detected by ELISA. The protein expression levels of NOX4， SDF-1α， CXCR4， Nrf2， nuclear factor kappa B subunit p65 （NF-κB p65） and podocyte slit diaphragm protein nephrin in rat renal tissues were detected by Western Blotting. The mRNA expressions of NOX4， SDF-1α， CXCR4， Nrf2， NF-κB p65 and Nephrin in renal tissues were detected by real-time fluorescence quantitative polymerase chain reaction （RT-PCR）. ResultsCompared to the blank group， rats in the model group exhibited typical features of MN， including lethargy， reduced activity， dull and coarse fur， marked edema， and massive proteinuria. Compared to the model group， these abnormal conditions were improved to varying degrees in all treatment groups. The high-dose YYHF group showed a level of improvement comparable to that of the benazepril group， with overall recovery superior to that of the medium-dose YYHF group. Compared to the blank group， the model group showed increased levels of 24 h-UTP， BUN， SCr， TC and TG， decreased level of ALB， increased levels of MDA and protein and mRNA expressions of NOX4， SDF-1α， CXCR4 and NF-κB p65 in renal tissue， along with decreased levels of SOD and protein and mRNA expressions of Nrf2， Nephrin （P＜0.01）， accompanied by severe renal pathological damage. Compared to the model group， the benazepril and the medium- and high-dose YYHF groups showed significant improvements in the above indicators （P＜0.01）， along with alleviation of renal pathological injury. The 24 h-UTP level in the high-dose YYHF group was lower than that in the medium-dose group （P＜0.01）， while no statistically significant difference was observed among the other treatment groups （P＞0.01）. ConclusionYYHF may alleviate oxidative stress and inflammatory responses by down-regulating the expression of NOX4 and inhibiting the SDF-1α/CXCR4-Nrf2 signaling pathway， thereby improving podocyte damage and protecting renal function.

Current formulation of objective performance criteria （OPC） in traditional Chinese medicine （TCM） faces methodological challenges， including poor reporting quality， insufficient standardization of methods， limited comparability of study populations， and inadequate consideration of the genetic and environment particularities of ethnic minority populations. In response to these issues， this paper proposes optimization strategies for setting OPC in TCM， with particular attention to ethnic minority medicine. These include improving methodological techniques and statistical descriptions， ensuring transparency in meta-analyses and data sources； standardizing the estimation of point estimates and confidence intervals， and incorporating multidisciplinary expert consensus for value determination； introducing local real-world data from the same period， especially cohort study evidence， to compensate for the lack of high-quality randomized controlled trial data. Through process transparency and dynamic updating mechanisms， the credibility of OPC method can be enhanced， thereby providing methodological support for strengthening evidence-based research capacity in this field.

Objective To investigate the expression characteristics, prognostic value, and correlation with immune infiltration of vasoactive intestinal peptide receptor 2 (VIPR2) in esophageal adenocarcinoma (ESAD). Methods Transcriptome data of 80 ESAD and 10 normal tissues were retrieved from the TCGA database. Immune-related differential genes were identified by integrating the ImmPort database. Cox regression analysis was applied to evaluate the prognostic significance of VIPR2. GSVA and ssGSEA were employed to assess the association between VIPR2 and immune-cell infiltration. Functional enrichment was performed using GO, KEGG, and GSEA. Results VIPR2 expression was significantly downregulated in ESAD tissues (P<0.05). High VIPR2 expression was associated with prolonged overall survival (HR=0.246, P=0.047), serving as an independent prognostic factor. Fifteen immune-cell types, including CD8⁺ T cells, NK cells, and dendritic cells, showed significantly higher infiltration in the VIPR2-high group, whereas Th17-cell abundance was decreased (P<0.05). Enrichment analyses revealed that VIPR2 participated in multiple tumor-immune pathways and was positively correlated with PD-1 and CTLA-4 expression (P<0.01). Conclusion VIPR2 may serve as a potential biomarker in the prognostic assessment and could modulate the tumor-immune microenvironment in ESAD.

OBJECTIVE To establish a method for simultaneous determination of venetoclax， busulfan and voriconazole in plasma of patients with acute myeloid leukemia （AML）， and apply it clinically. METHODS Plasma samples were subjected to protein precipitation using acetonitrile and subsequently analyzed by liquid chromatography-tandem mass spectrometry （LC-MS/MS） using venetoclax-D 8 ， busulfan-D 8 and posaconazole as internal standards. The separation was performed on a Phenomenex Kinetex ® C 18 column with a mobile phase composed of 0.1% formic acid solution （2 mmol/L ammonium acetate）-0.1% formic acid in acetonitrile （gradient elution） at a flow rate of 0.8 mL/min. The column temperature was set at 40 ℃， the sample size was 5 μL， and the total run time was 3.10 min. An electrospray ionization source was employed， and positive ion scanning was conducted using multiple reaction monitoring mode. The ion pairs used for quantitative analysis included m/z 868.4→636.3 （venetoclax）， m/z 264.1→151.1 （busulfan）， and m/z 350.1→224.0 （voriconazole）. The above LC-MS/MS method was adopted to determine plasma concentrations of venetoclax and voriconazole in 10 AML patients， as well as plasma concentration of busulfan in 5 patients undergoing conditioning treatment for allogeneic hematopoietic stem cell transplantation. RESULTS The linear ranges of venetoclax， busulfan and voriconazole were 50-10 000， 15-3 000 and 50-10 000 ng/mL， respectively （ R 2 ≥0.999 0）， with lower limits of quantification of 50， 15 and 50 ng/mL， respectively. The RSDs of intra-day and inter-day precision tests for all three analytes were all less than 10%， with accuracy （relative errors） ranging from －10.00% to 12.96%. The average extraction recovery ranged from 92.54% to 100.95%， and the average matrix effect was 89.98%-101.49%. Dilution reliability covered all dilution factors used in the test samples， and the absolute values of relative errors in stability tests were all≤16.25%. The plasma concentrations of venetoclax， busulfan and voriconazole in enrolled patients were 496.20-4 250.45， 233.48-2 002.28 and 475.51-5 710.18 ng/mL， respectively. CONCLUSIONS The LC-MS/MS method established in this study is rapid， sensitive and easy to operate， and can be used for the therapeutic drug monitoring of venetoclax， busulfan and voriconazole.

Cardiovascular diseases （CVD）， particularly atherosclerosis， represent a major global health burden. Recent studies have revealed that innate immune cells such as monocytes and macrophages can develop immune memory after an initial stimulus， a phenomenon termed “trained immunity”. Growing evidence indicates that trained immunity serves as an underlying mechanism of chronic inflammation in atherosclerotic cardiovascular diseases. This review focuses on outlining the key effector cells involved in trained immunity and their mechanisms of formation， including processes such as metabolic reprogramming and epigenetic modifications， which collectively lead to a heightened immune response upon secondary stimulation. Furthermore， this review systematically summarizes the role of trained immunity in the initiation and progression of atherosclerosis， and elaborates on various therapeutic strategies targeting trained immunity along with their application prospects.