[摘 要] 目的：探讨环状RNA CEMIP（circCEMIP）对膀胱癌UMUC-3细胞增殖、迁移和侵袭的影响及其分子机制。方法：通过TCGA数据库分析circCEMIP在膀胱癌组织中的表达水平，分析其表达与膀胱癌患者临床分期及生存期的关系。采用qPCR法检测circCEMIP在膀胱癌细胞5637、UMUC-3、MGH-U3、J82和T24中的表达。利用RNA干扰技术，分别将si-circCEMIP及其阴性对照（si-NC）、anti-miR-335及其阴性对照（anti-miR-NC）转染UMUC-3细胞，记为si-circCEMIP组、si-NC组、si-circCEMIP + anti-miR-335组和si-circCEMIP + anti-miR-NC组。采用克隆形成实验、划痕愈合实验和Transwell实验分别检测circCEMIP和miR-335表达对UMUC-3细胞增殖、迁移和侵袭能力的影响，双萤光素酶报告基因实验验证circCEMIP与miR-335的靶向关系，WB法检测细胞中VEGF-C信号通路相关蛋白的表达。构建UMUC-3细胞裸鼠皮下移植瘤模型，观察敲低circCEMIP对移植瘤生长的影响。结果：膀胱癌组织中circCEMIP呈高表达（P < 0.01），其表达水平与膀胱癌的临床分期正相关（P < 0.01），circCEMIP高表达患者生存率较低（P < 0.01）。circCEMIP在膀胱癌5637、UMUC-3、MGH-U3、J82和T24细胞中呈高表达（均P < 0.01）。敲低circCEMIP显著降低UMUC-3细胞的增殖、迁移和侵袭能力（均P < 0.01）。circCEMIP可靶向结合miR-335（P < 0.01），敲低circCEMIP能显著上调miR-335表达（P < 0.01）。抑制miR-335表达能逆转敲低circCEMIP对UMUC-3细胞增殖、迁移和侵袭的抑制作用（均P < 0.01）。敲低circCEMIP能明显下调VEGF-C信号通路相关蛋白VEGF-C、MMP-2、MMP-9和β-catenin表达（均P < 0.01），抑制miR-335表达能部分逆转敲低circCEMIP对该通路相关蛋白表达的抑制作用（均P < 0.01）。体内实验证实，敲低circCEMIP能够抑制裸鼠膀胱癌移植瘤的生长（P < 0.01）。结论：敲低circCEMIP通过上调miR-335表达抑制膀胱癌UMUC-3细胞的增殖、迁移和侵袭。

Objective To explore whether there is a causal relationship between intestinal flora and esophageal cancer. Methods Summary statistics of intestinal flora and esophageal cancer were obtained from the Genome-wide Association Studies (GWAS) database. Five methods, including inverse variance weighted (IVW), weighted median estimation, Mendelian randomization (MR)-Egger regression, single mode, and weighted mode, were used for analysis, with IVW as the main analysis method. Sensitivity analysis was used to evaluate the reliability of MR results. Results In the IVW method, Oxalobacteraceae [OR=1.001, 95%CI (1.000, 1.002), P=0.023], Faecalibacterium [OR=1.001, 95%CI (1.000, 1.002), P=0.028], Senegalimassilia [OR=1.002, 95%CI (1.000, 1.003), P=0.006] and Veillonella [OR=1.001, 95%CI (1.000, 1.002), P=0.018] were positively correlated with esophageal cancer, while Burkholderiales [OR=0.999, 95%CI (0.998, 1.000), P=0.002], Eubacterium oxidoreducens [OR=0.998, 95%CI (0.997, 0.999), P=0.038], Romboutsia [OR=0.999, 95%CI (0.998, 1.000), P=0.048] and Turicibacter [OR=0.998, 95%CI (0.997, 0.999), P=0.013] were negatively correlated with esophageal cancer. Sensitivity analysis showed no evidence of heterogeneity, horizontal pleiotropy and reverse causality. Conclusion Oxalobacteraceae, Faecalibacterium, Senegalimassilia and Veillonella increase the risk of esophageal cancer, while Burkholderiales, Eubacterium oxidoreducens, Romboutsia and Turicibacter decrease the risk of esophageal cancer. Further studies are needed to explore how these bacteria affect the progression of esophageal cancer.

[摘 要] 目的：探讨嗜酸性粒细胞（Eos）和其他循环血细胞和炎症指标在预测小细胞肺癌（SCLC）免疫治疗疗效和免疫相关不良反应（irAE）中的价值。方法:回顾分析2013年8月至2023年7月期间海军军医大学第一附属医院呼吸科收治的410例SCLC患者临床信息；在化疗或免疫治疗前，以及治疗后的3个周期，分别检测患者全血细胞计数和细胞因子等指标；记录irAE的发生时间、类型、分级，以及随访情况。结果: 接受化疗联合免疫检查点抑制剂（ICI）治疗（简称联合治疗）的患者116例，其中一线联合治疗患者91例、后线联合治疗25例。联合组患者的总有效率（ORR）为44.8%，疾病控制率（DCR）为90.5%，单用化疗（单化）组患者的ORR为38.4%，DCR为85.0%。联合组中位PFS为8.9（7.2～10.5）个月，中位OS为17.7（13.9～21.5）个月。将联合组与单化组行倾向得分匹配（PSM）法配对，对比二组治疗后3周期的绝对嗜酸性粒细胞计数（AEC）水平、相对嗜酸性粒细胞计数（REC）水平；计算历次复查Eos水平与基线Eos水平的比值（AECT1/0、AECT2/0、AECT3/0、RECT1/0、RECT2/0、RECT3/0），联合组的AECT3/0和RECT3/0显著高于单化组。单因素分析表明，基线AEC和REC的升高与较好的治疗至失败时间（TTF）和OS显著相关（P < 0.05）；治疗后Eos水平与基线水平的比例（AECT3/0、RECT3/0）与较好的PFS和TTF显著相关（P < 0.05）；RECT3/0升高同样与OS改善显著相关（P < 0.05）。多因素分析提示，AECT3/0 > 0.41与较好的PFS和TTF显著相关（P < 0.05）；当RECT3/0 > 0.32时，与较好的PFS、TTF、OS均显著相关（P < 0.05）；RECT3/0 > 0.27仅与较好的TTF、OS显著相关（P < 0.05）。亚组分析发现，缓解组的RECT3/0显著高于非缓解组（P < 0.05）。一线应用ICI与二线/后线应用ICI患者的PFS、TTF、OS无统计学差异，但一线应用ICI时ORR（50% vs 25%，P < 0.05）和DCR（93.48% vs 79.17%，P < 0.05）显著优于二线/后线。116例联合治疗患者发生43例irAE（35.34%）, 最常见的为免疫相关性皮炎8.62%；Ⅲ级以上的irAE共17例（14.66%）；因irAE停药10例（8.62%），死亡2例;发生irAE的患者PFS较未发生irAE的患者显著延长（P < 0.05），而TTF和OS无统计学差异。发生irAE患者的RECT3较未发生irAE患者显著升高（P < 0.05），AECT3/0 > 0.29的患者irAE发生率显著增高（P < 0.05）。结论: Eos是SCLC接受ICI治疗的保护性因素，通过监测AECT3/0、RECT3/0，并结合患者的临床病理生理特征、细胞因子和炎症标志物水平进行综合评估，可有效预测SCLC患者的免疫治疗疗效和irAE的发生。

Objective Approximately 10% of patients with acute ischemic stroke （AIS） due to large vessel occlusion （LVO） present with mild stroke， and about 20% of the patients with mild stroke who do not receive reperfusion treatment will experience early neurological deterioration. This study aims to investigate the imaging indicators for predicting the onset of early neurologic deterioration （END） in patients with mild stroke due to LVO in the anterior circulation based on magnetic resonance imaging. Methods A total of 84 hospitalized patients who were diagnosed with acute anterior circulation infarction within 72 hours after disease onset in Henan Provincial People’s Hospital from January 1， 2021 to December 30， 2024 were enrolled，and 3.0 T magnetic resonance imaging was used to perform perfusion-weighted imaging （PWI） and diffusion-weighted imaging（DWI） for all patients with acute cerebral infarction. All patients had a baseline National Institutes of Health Stroke Scale（NIHSS） score of ≤5 within 24 hours after admission， and none of them received endovascular treatment. PWI and DWI imaging findings were collected from all patients to analyze regional cerebral blood flow （rCBF）， regional cerebral blood volume， mean transit time， and time to peak. The receiver operating characteristic curve was plotted to analyze the value of PWI parameters in predicting END in patients with mild stroke due to LVO in the anterior circulation who did not receive endovascular treatment. Continuous variables were stratified based on the optimal cut-off value of Youden index， and the multivariate logistic regression analysis was used to investigate the independent risk factors for END. Results The incidence rate of END was 31.0%， with the proportion of rCBF as the imaging indicator，cut-off value 29.3%. The proportion of rCBF was an independent risk factor for END （OR=14.41， 95%CI 7.00‒37.33）. Conclusion The proportion of rCBF≥29.3% has a certain value in predicting END in patients with mild stroke due to LVO in the anterior circulation and is an independent risk factor.

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 analyze the risk factors of plastic bronchitis (PB) in children with severe mycoplasma pneumoniae pneumonia (SMPP) and construct a Nomogram model. Methods A total of 195 children with SMPP from April 2022 to April 2025 were selected and divided into the PB group and the non-PB group according to the occurrence of PB. Their clinical data were compared. Binary logistic regression was used to analyze the risk factors of PB in SMPP, and ROC was used to analyze the predictive ability of the model. The Nomogram prediction model was established using R-4.4.3 software, and the calibration curve and clinical decision curve were plotted for analysis. Results PB occurred in 66 cases (33.85%) (P < 0.05). The duration of fever, PIV, SII, D-D, LDH, and pleural effusion were independent risk factors for PB in SMPP (OR=6.997, 1.016, 1.008, 70.202, 1.025, 32.323, P < 0.05). Based on this, the PB prediction model for SMPP occurrence established had a good goodness of fit (P > 0.05), and the area under the ROC curve was 0.888 (95%CI : 0.878-0.898). The average absolute error of Bootstrap repeated sampling 1000 times was 0.021, and the model C-index was 0.889 (95%CI: 0.888-0.991). The predicted probability of the model has a good consistency with the actual probability, with good accuracy, and the Brier score is 0.035 (95%CI: 0.015-0.054). Good clinical benefits can be achieved when the threshold probability is between 0.01 and 0.99. Conclusion The Nomogram model of PB in children with SMPP constructed based on factors such as fever duration, PIV, SII, D-D, LDH, and pleural effusion has good discrimination and accuracy, and can provide a reference for the prevention of PB.

Objective To compare the benefits and drawbacks of primary patch expansion versus pericardial tube right ventricular-pulmonary artery connection in patients diagnosed with pulmonary atresia with ventricular septal defect (PA/VSD). Methods A retrospective study was conducted on patients diagnosed with PA/VSD who underwent primary right ventricular-pulmonary artery connection surgery at our center between 2010 and 2020. Patients were categorized into two groups based on the type of right ventricular-pulmonary artery connection: a pericardial tube group and a patch expansion group. Clinical data and imaging findings were compared between the two groups. Results A total of 51 patients were included in the study, comprising 31 males and 20 females, with a median age of 12.57 (4.57, 49.67) months. The pericardial tube group included 19 patients with a median age of 17.17 (7.33, 49.67) months, while the patch expansion group consisted of 32 patients with a median age of 8.58 (3.57, 52.72) months. In both groups, the diameter of pulmonary artery, McGoon index, and Nakata index significantly increased after treatment (P<0.001). However, the pericardial tube group exhibited a longer extracorporeal circulation time (P<0.001). The reoperation rate was notably high, with 74.51% of patients requiring further surgical intervention, including 26 (81.25%) patients in the patch expansion group and 12 (63.16%) patients in the pericardial tube group. No statistical differences were observed in long-term cure rates or mortality between the two groups (P＞0.005). Conclusion In patients with PA/VSD, both patch expansion and pericardial tube right ventricular-pulmonary artery connection serve as effective initial palliative treatment strategies that promote pulmonary vessel development and provide a favorable foundation for subsequent radical operations. However, compared to the pericardial tube approach, the patch expansion technique is simpler to perform and preserves some intrinsic potential for pulmonary artery development, making it the preferred procedure.

Osteoporosis （OP） is a systemic metabolic disease with a strong correlation with age. The prevalence of osteoporosis is rising annually as a consequence of the growing issue of population ageing. The current treatments for OP have numerous shortcomings. In contrast， traditional Chinese medicine has a long history and a rich species diversity. Furthermore， recent years have seen an increase in the number of studies examining the anti-OP properties of traditional Chinese medicine. This may provide a safe and effective alternative strategy for the treatment of OP. The zebrafish， due to its favourable optical transparency and high homology with human genes， has been extensively employed as an animal research model in the investigation of human skeletal-related disease mechanisms and drug screening. This paper presents a review of anti-osteoporosis studies of traditional Chinese medicine using zebrafish as a model for osteoporosis. It also provides a summary of the experimental evaluation methods involved in such studies， an analysis of the current status of traditional Chinese medicine in the treatment of osteoporosis using zebrafish as a model， and a summary of the mechanism of action and the signalling pathways involved in traditional Chinese medicine in the anti-osteoporosis treatment of zebrafish. The current research status of Chinese medicine in the treatment of OP was analysed， as well as the mechanism of action of Chinese medicine against OP and the signalling pathways involved. Furthermore， the advantages and disadvantages of various zebrafish modelling methods of OP were compared with those of traditional animal models. The objective of this study is to provide a reference for the evaluation method of the zebrafish model in the study of bone-related diseases， as well as for the study of the mechanism of action of traditional Chinese medicine against OP and for the reference of the research and development of new drugs.

There is a substantial unmet need for treatments in the field of pediatric rare diseases, and investigator initiated trial(IIT) provide a critical pathway for testing and developing new drugs or treatment strategies. However, healthcare institutions, when conducting such research, must address compliance risks related to project approval, contract management, data protection, and conflict of interest management. This study aims to analyze the particularities and challenges of IIT in pediatric rare diseases, review relevant regulations and regulatory requirements, and provide healthcare institutions with a reference framework for compliance risk management to maximize the benefits of IIT. Based on literature review, analysis of laws and regulations, practical work experience, and frameworks from other institutions, we summarize the unique aspects of pediatric rare disease IIT in terms of participant characteristics, innovative technologies, and organizational structures.On this basis, targeted compliance management recommendations are proposed, which include establishing a risk rating and full-cycle risk monitoring mechanism, a consent and ethical review mechanism tailored to pediatric participants, a robust contract management mechanism, a comprehensive data security management mechanism, and a multidisciplinary team and multi-channel compensation mechanism. The study concludes that healthcare institutions, funders, and other collaborating entities should implement compliance management in line with the characteristics of IIT to ensure the safety and effectiveness of research and facilitate innovation and development in the treatment of pediatric rare diseases.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.