Objective To identify immune cell-related biomarkers in lung adenocarcinoma (LUAD) using weighted gene co-expression network analysis (WGCNA). Methods Based on data from The Cancer Genome Atlas (TCGA) database, a gene co-expression network was constructed for the TCGA-LUAD dataset using the "WGCNA" R package, and genes were clustered into different modules. Concurrently, the Estimation of STromal and Immune cells in MAlignant Tumours using Expression data (ESTIMATE) algorithm was applied to the tumor samples in the TCGA-LUAD dataset. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to evaluate the biological functions of genes within the most significantly correlated module. Candidate hub genes from the key module were intersected with a protein-protein interaction (PPI) network to identify the final hub genes. The prognostic performance of these hub genes and their correlation with immune cell infiltration were validated using Kaplan-Meier curves and the Tumor IMmune Estimation Resource (TIMER) algorithm. Finally, a multivariate Cox regression analysis was conducted on the identified hub genes to construct a prognostic risk model. Results In the co-expression network, the brown module was found to be highly correlated with the ImmuneScore, StromalScore, and ESTIMATE Score. Five immune-related hub genes were identified: CD53, PLEK, SPI1, IL10RA, and C3AR1. Enrichment analysis of the brown module revealed that its genes were primarily enriched in GO terms such as "regulation of innate immune response" and KEGG pathways like the "NF-kappa B signaling pathway". Furthermore, the expression levels of these five hub genes were significantly and positively correlated with the infiltration abundance of various immune cells. The immune relevance of the model was validated by the Immunophenoscore (IPS) and the Tumor Immune Dysfunction and Exclusion (TIDE) score. Moreover, the established RiskScore demonstrated significant potential in predicting the response to immunotherapy. Conclusion These five immune-related key genes may serve as novel and effective potential therapeutic targets for LUAD immunotherapy, facilitating the development of personalized diagnosis and treatment strategies for patients with LUAD.

ObjectiveTo analyze the epidemiological characteristics and clinical symptoms of severe fever with thrombocytopenia syndrome (SFTS) cases in Xianju County, Zhejiang Province from 2017 to 2024, and to provide a scientific basis for prevention and control measures to reduce the incidence and mortality. MethodsSFTS cases reported in Xianju County from 2017 to 2024 were collected from the China Information System for Disease Prevention and Control. Case-related data were obtained through epidemiological investigations and medical record reviews. Data were organized and analyzed using WPS 2019 and SPSS 22.0, spatial maps were generated with ArcGIS 10.2, and multivariate logistic regression analyses were employed to explore the factors associated with mortality in SFTS cases. ResultsFrom 2017 to 2024, a total of 36 SFTS cases were reported in Xianju County, with an incidence rate of 1.15/100 000 and a case fatality rate of 27.78% (10/36). The majority of cases occurred in individuals aged 60 years old and above (55.56%, 20/36), with farmers being the most affected occupational group (86.11%, 31/36). The highest number of reported cases occurred in June and July. The local tick density was relatively high (1.25 ticks per host, 340/271). Multivariate logistic regression analyses indicated that thrombocytopenia was a related factor for patient mortality. ConclusionXianju County is an area with high incidence and case fatality rate of SFTS. It is essential to strengthen public awareness campaigns, emphasizing personal protection during outdoor activities to reduce infections and lower the incidence rate. In addition, comprehensive control measures such as environmental cleanup and pesticide application should be taken to reduce tick density. Local medical institutions should enhance professional training to improve diagnostic and report sensitivity for SFTS. Early symptomatic treatment should be prioritized for elderly patients and severe thrombocytopenia cases to reduce the case fatality rate.

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 explore the efficacy and safety of neoadjuvant immunotherapy combined with chemotherapy in patients with locally advanced resectable non-small cell lung cancer (NSCLC). Methods The clinical data of patients with stage ⅡA-ⅢB NSCLC who underwent surgical treatment after receiving neoadjuvant immunotherapy combined with chemotherapy or chemotherapy alone at the First People’s Hospital of Jining between April 2021 and January 2024 were retrospectively analyzed. According to the preoperative neoadjuvant regimens, the patients were divided into a combined group and a chemotherapy group, and the clinical data of the two groups were compared. Results A total of 66 patients were included, including 61 males and 5 females. There were 53 patients in the combined group with a mean age of (63.40±6.80) years, and 13 patients in the chemotherapy group with a mean age of (58.62±8.30) years. There was a statistical difference in age between the two groups (P＜0.001), while no statistical difference was observed in other baseline data (P>0.05). The major pathological response rates in the combined group and the chemotherapy group were 54.7% and 23.1%, respectively (P=0.041), and the pathological complete response rates were 39.6% and 0.0%, respectively (P=0.006). The operative time in the combined group was shorter (P=0.039). There were no statistical differences between the two groups in intraoperative blood loss, duration of postoperative tube carrying, incidence of postoperative complications, overall survival, or event-free survival (P>0.05). Conclusion Surgical treatment following neoadjuvant immunotherapy combined with chemotherapy is safe and feasible, and its long-term efficacy requires further follow-up for confirmation.

Objective To observe the efficacy and safety of neoadjuvant sintilimab combined with chemotherapy in the treatment of patients with locally advanced resectable esophageal squamous cell carcinoma (ESCC). Methods Clinical data were collected from patients with locally advanced resectable ESCC who received neoadjuvant immunotherapy combined with chemotherapy followed by surgical treatment at the Department of Thoracic Surgery of Jining No.1 People's Hospital from April 2020 to April 2022. The endpoints included major pathological response (MPR), pathological complete response (pCR), R0 resection rate, safety, and postoperative survival. Results A total of 43 patients with ESCC who received at least one cycle of neoadjuvant immunotherapy before surgery were included. Among them, there were 31 males and 12 females with a median age of 65 years (interquartile range: 58-69). All patients successfully completed the surgery without any surgical delays. The pCR rate was 14.0% (6/43), the MPR rate was 58.1% (25/43), and the R0 resection rate was 97.7% (42/43). Patients exhibited reliable safety during neoadjuvant therapy and postoperatively. The 2-year overall survival and disease-free survival rates were 90.7% and 81.4%, respectively. Kaplan-Meier survival analysis and log-rank test revealed lower recurrence rates and better survival in the MPR patients compared to the non-MPR patients. Conclusion The combination of neoadjuvant sintilimab and chemotherapy in the treatment of patients with locally advanced resectable ESCC has demonstrated significant clinical efficacy, while also being safe and reliable.

Malignant tumors are one of the major diseases that endanger human life and health. Chinese medicine has unique advantages in clinical anti-tumor treatment. However， how to translate the anti-tumor effects of Chinese medicine into clinical practice is the core issue that must be addressed in the process of treating malignant tumors with traditional Chinese medicine （TCM）. Unlike modern chemical drugs， the compatibility application of Chinese medicine is the key factor that determines whether Chinese medicine can achieve optimal anti-tumor efficacy and realize the goal of "enhancing efficacy and reducing toxicity". The formulation structure based on this compatibility is the basic form for the safe， efficient， and rational clinical use of anti-tumor Chinese medicine， and it mainly includes three categories： herb pairs， tri-herbal combinations， and compound compatibility. Although herb pairs have the characteristics of a simple structure and strong targeting （enhancing efficacy and reducing toxicity）， they often have a single effect and cannot fully address the complex pathogenesis of tumors. As a result， herb pairs are rarely used alone in practice. Compared to herb pairs， tri-herbal combinations broaden the application scope of herbs in clinical treatment， but their therapeutic range remains limited. The traditional "sovereign， minister， assistant， and guide" compound prescription， which includes herb pairs and tri-herbal combinations， improves the efficacy of herbs in treating serious diseases， hypochondriasis， chronic diseases， and miscellaneous disorders. However， due to the limitations of its historical background， it has not been integrated with modern clinical practice and modern pharmacological research， which restricts the development of compound compatibility theory. With the emergence of modern medical technology， it has been combined with traditional compatibility theory of Chinese medicine to create an innovative modern compatibility theory. This includes the "aid medicine" theory derived from modern Chinese medicine pharmacology， which compensates for the inability of the "sovereign， minister， assistant， and guide" theory to accurately apply medicine. Additionally， the "state-targeted treatment based on syndrome differentiation" theory， developed from pharmacology and modern medicine， addresses the deficiency in disease cognition in the "sovereign， minister， assistant， and guide" theory. Under the guidance of these compatibility forms and theories， clinical anti-tumor Chinese medicine can exert its maximum anti-tumor efficacy， which is of great significance for the application of Chinese medicine in clinical tumor treatment.

Objective To investigate the effects of dihydroquercetin(DHQ)on retinal ferroptosis and visual function in rats with optic nerve injury(ONI),and to elucidate the underlying mechanisms.Methods Thirty-six 8-12-week-old adult male SD rats were randomly divided into three groups:SHAM group(sham surgery without optic nerve damage,fol-lowed by saline injection at the same time points),ONI group(ONI model established by surgery,followed by saline injec-tion),DHQ+ONI group(ONI model established by surgery,followed by intraperitoneal injection of 50 mg·kg-1DHQ on days 1,3,5,and 7 post-surgery).The ONI model was constructed by optic nerve clamping.After 7 days:Brn3a immuno-fluorescence was used to observe morphological and quantitative changes in retinal ganglion cells(RGCs).Immunohisto-chemistry and Western blot were performed to analyze protein expression of nuclear factor-erythroid 2-related factor 2(Nrf2),phosphorylated protein kinase B(p-AKT),and glutathione peroxidase 4(Gpx4),Flash visual evoked potential(F-VEP)was applied to assess visual function changes.Results Immunofluorescence quantification of Brn3a-positive cells:SHAM group:(61.49±3.84)cells·mm-1,ONI group:(25.24±1.81)cells·mm-1,DHQ+ONI group:(46.50±3.51)cells·mm-1.Compared with SHAM group,ONI group showed decreased Brn3a-positive cells(P＜0.001).Compared with ONI group,DHQ+ONI group showed increased Brn3a-positive cells(P＜0.01).Immunohistochemistry and Western blot:Compared with SHAM group,ONI group showed decreased protein expression of Nrf2,p-AKT,and Gpx4(all P＜0.001).Compared with ONI group,DHQ+ONI group showed increased expression of these proteins(all P＜0.01).F-VEP meas-urements:SHAM group:P1 wave amplitude(49.87±0.81)μV,ONI group:(5.87±0.25)μV,DHQ+ONI group:(36.43±0.21)μV.Compared with SHAM group,ONI group showed reduced P1 amplitude(P＜0.001).Compared with ONI group,DHQ+ONI group showed increased P1 amplitude(P＜0.001).Conclusion DHQ may protect and repair RGCs in ONI rats by inhibiting the ferroptosis-related Nrf2/p-AKT/Gpx4 signaling pathway,thereby ameliorating vision impairment caused by ONI.

Objective:To construct and evaluate a radiomics model for predicting perineural invasion in patients with intrahepatic cholangiocarcinoma (ICC).Methods:Clinical data of 144 patients with ICC undergoing surgery in the People’s Hospital of Zhengzhou University ( n=113) and the Affiliated Cancer Hospital of Zhengzhou University ( n=31) from January 2018 to June 2023 were retrospectively analyzed, including 80 males and 64 females, aged (58.8±10.1) years. The patients were randomly divided into a training set ( n=100) and a test set ( n=44) at a ratio of 7: 3. The former set was used to build the model for predicting perineural invasion, and the latter was used to evaluate the model. Enhanced CT images and clinical data of the patients were collected, and features related to perineural invasion were screened. A light gradient boosting machine was used to construct an imaging genomics model. The model was evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). Results:Univariate and multivariate logistic regression analysis showed that none of the clinical features were associated with neural invasion in ICC patients (all P>0.05). Six, 25, 32, and 37 radiomics features were obtained by screening the intratumoral, 2 mm peritumoral, 5 mm peritumoral, and 8 mm peritumoral regions, respectively. The area under the ROC curve for predicting perineural invasion in ICC patients was 0.849 (95% CI: 0.774-0.923) in the training set and 0.745 (95% CI: 0.597-0.894) in the test set for the intratumoral model, 0.966 (95% CI: 0.938-0.995) and 0.750 (95% CI: 0.604-0.896) for the 5mm peritumoral model, 0.936 (95% CI: 0.892-0.980) and 0.792 (95% CI: 0.644-0.939) for the 2mm peritumoral model, and 0.961 (95% CI: 0.929-0.992) and 0.689 (95% CI: 0.526-0.853) for the 8mm peritumoral model. The area under the ROC curve, accuracy, sensitivity, and specificity of the combined intratumoral and 5mm peritumoral model for predicting perineural invasion were 0.927 (95% CI: 0.878-0.976), 88.0%, 84.5%, and 89.8% in the training set, and 0.849 (95% CI: 0.737-0.960), 77.3%, 85.2%, and 72.0% in the test set, respectively. The calibration curve showed a deviation between the calibration curve of the combined intratumoral and 5mm peritumoral model and the ideal line, but it could achieve basic consistency. DCA showed that when the threshold was between 0.18 and 0.70, the combined intratumoral and 5mm peritumoral model could bring clinical net benefit to patients when predicting neural invasion. Conclusion:The intratumoral and 5mm peritumoral imaging genomics model based on enhanced CT features can effectively predict neural invasion and offer clinical benefits in patients with ICC.

Objective To investigate the necessity of further surgery for patients with locally advanced esophageal squamous cell carcinoma following treatment with the programmed cell death-1 (PD-1) inhibitor combined with chemotherapy, and to assess its impact on survival. Methods Patients with stage ⅡA to ⅢB esophageal squamous cell carcinoma who received immunotherapy combined with chemotherapy at our hospital from January 2020 to June 2022 were selected for this study. Based on whether they underwent surgery after receiving PD-1 inhibitor combined with chemotherapy, patients were divided into a surgery group and a non-surgery group. We compared the general clinical data, side effects, clinical complete response rates, progression-free survival (PFS), and overall survival (OS) between the two groups. Results A total of 58 patients were included in the study, comprising 45 males and 13 females, with an average age of (65.5±6.9) years. There were no statistical differences in general clinical data or adverse reactions between the two groups. Univariate analysis revealed that the objective response rate and surgery were significantly associated with PFS (P<0.05). Binary logistic regression analysis showed that surgery was the only independent risk factor for PFS (P=0.003). Kaplan-Meier survival analysis showed that the PFS and OS in the surgery group were significantly higher than those in the non-surgery group (HR=0.13, 95%CI 0.036 to 0.520, P＜0.001; HR=0.17, 95%CI 0.045 to 0.680, P=0.004). Conclusion After treatment with the PD-1 inhibitor combined with chemotherapy, patients with locally advanced esophageal squamous cell carcinoma still require surgical intervention to achieve improved PFS and OS.

Objective To elucidate the causal relationships between colorectal cancer (CRC) and prevalent psychiatric disorders through a two-sample Mendelian randomization approach. Methods Utilizing publicly available genome-wide association study data, we explored the connections between CRC and various psychiatric disorders, including depression, anxiety, bipolar disorder, and schizophrenia. We applied three statistical analyses: inverse variance weighting, MR-Egger, and median weighting. Sensitivity analyses were conducted to ensure the reliability and validity of the results. Results Inverse variance weighting analysis showed no significant links between CRC and depression (P=0.090), anxiety (P=0.099), or schizophrenia (P=0.899). Conversely, a significant inverse relationship was found with bipolar disorder (P=0.010). Conclusion No causal connection exists between CRC and the psychiatric conditions of depression, anxiety, or schizophrenia. However, CRC may have a causal association with a reduced risk of bipolar disorder, further supporting the existence of the gut-brain axis.