Objective To investigate the expression profile, prognostic value, gene co-expression network, and immunomodulatory role of BRF1 in a pan-cancer context, and to explore its biological functions and molecular regulatory mechanisms in esophageal squamous cell carcinoma (ESCC). Methods The pan-cancer dataset from The Cancer Genome Atlas (TCGA) was utilized to analyze the differential expression of BRF1 in tumor versus normal tissues, its association with patient survival, pathway enrichment for co-expressed genes, and immune features (including immune checkpoints, cytokines, and immune cell infiltration). The expression profile of BRF1 in ESCC was validated using the Gene Expression Omnibus (GEO) database. In vitro, BRF1 was knocked down in ESCC cells using siRNA. Cell proliferation and migration were assessed by MTT and Transwell assays, respectively. The expression levels of proliferation- and migration-related proteins were detected by Western blotting. The correlation between BRF1 and ferroptosis was analyzed using TCGA data. Results BRF1 was significantly upregulated in over 20 types of cancer, and its high expression was associated with poor prognosis in patients with adrenocortical carcinoma and prostate adenocarcinoma. BRF1 was found to positively regulate the T-cell-mediated cell death pathway in esophageal adenocarcinoma and was associated with the circadian rhythm regulation pathway in pancreatic adenocarcinoma. The correlation of BRF1 with immune checkpoints, cytokine networks, and immune cell infiltration was found to be cancer type-specific. In vitro experiments demonstrated that knocking down BRF1 significantly inhibited the proliferation of ESCC cells, accompanied by the downregulation of the proliferation marker PCNA. Cell migration was also significantly impaired, with decreased expression of Vimentin and MMPs and increased expression of E-cadherin. Furthermore, the expression of BRF1 was positively correlated with that of ferroptosis-antagonizing genes, such as GPX4, HSPA5, and SLC7A11. Conclusion BRF1 plays complex roles in pan-cancer, participating in the regulation of tumorigenesis, progression, and immune infiltration. BRF1 promotes the proliferation and migration of ESCC cells, a mechanism potentially associated with the regulation of ferroptosis resistance. These findings suggest that BRF1 could be a potential therapeutic target for ESCC.

With the increasing use of low-dose computed tomography (LDCT) in lung cancer screening and health examinations, the clinical goal of pulmonary nodule management has shifted from detecting nodules to identifying lesions that warrant intervention while avoiding overdiagnosis and overtreatment of low-risk disease. Artificial intelligence (AI) has consequently evolved from computer-aided detection and segmentation to benign-malignant differentiation, longitudinal growth assessment, invasiveness prediction, risk stratification, and closed-loop workflow support. This review outlines the developmental trajectory of AI for pulmonary nodules and summarizes advances in detection and segmentation, radiomics, end-to-end deep learning, longitudinal modeling, and multimodal integration across incidentally detected, screening-detected, subsolid, and multiple-nodule scenarios. Particular attention is given to real-world failure modes and their causes, including data and label bias, scanner- and protocol-related distribution shift, spectrum bias and overfitting in subsolid nodules, missed atypical lesions, automation bias, and management of discordance between AI outputs and guideline-based recommendations. Current evidence suggests that AI may improve detection efficiency and risk reclassification in selected settings; however, evidence regarding cross-population calibration, patient-relevant outcomes, cost-effectiveness, and post-deployment monitoring remains limited. AI should therefore be positioned as a human-in-the-loop adjunct within guideline-governed pathways, supported by scenario-specific validation, transparent reporting, interpretability and accountability, continuous performance auditing, and multidisciplinary decision-making.

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

Poly(ADP-ribose) polymerase 1 (PARP1) is a multifunctional protein involved in diverse cellular functions, notably DNA damage repair. Pharmacological inhibition of PARP1 has therapeutic benefits for various pathologies. Despite the increased use of PARP inhibitors, challenges persist in achieving PARP1 selectivity and effective blood-brain barrier (BBB) penetration. The development of a PARP1-specific positron emission tomography (PET) radioligand is crucial for understanding disease biology and performing target occupancy studies, which may aid in the development of PARP1-specific inhibitors. In this study, we leverage the recently identified PARP1 inhibitor, AZD9574, to introduce the design and development of its ¹⁸F-isotopologue ([¹⁸F]AZD9574). Our comprehensive approach, encompassing pharmacological, cellular, autoradiographic, and in vivo PET imaging evaluations in non-human primates, demonstrates the capacity of [¹⁸F]AZD9574 to specifically bind to PARP1 and to successfully penetrate the BBB. These findings position [¹⁸F]AZD9574 as a viable molecular imaging tool, poised to facilitate the exploration of pathophysiological changes in PARP1 tissue abundance across various diseases.

Objective To investigate the clinical features of neutropenia after splenectomy in patients with hepatolenticular degeneration， also known as Wilson's disease （WD）， and related influencing factors. Methods The patients with WD who were hospitalized and underwent splenectomy from January 2018 to March 2023 were enrolled as subjects. The patients with an absolute neutrophil count of <1.7×109/L at 1 year after splenectomy were enrolled as observation group， and those with an absolute neutrophil count of ≥1.7×109/L were enrolled as control group. The two groups were compared in terms of the change in routine blood test results at 1 year after splenectomy， as well as the indicators such as general information，preoperative myelogram data， preoperative Child-Pugh score， preoperative spleen size， surgical procedures， and postoperative laboratory markers， and the influencing factors for the reduction in neutrophil count were analyzed. Results A total of 61 patients were included. At 1 year after splenectomy， both groups had significant increases in white blood cell count， neutrophil count， red blood cell count， and platelet count and a significant reduction in the percentage of neutrophils （P<0.05）. After surgery， 39.34%（24/61） of the patients still had a neutrophil count lower than the normal level. Before surgery， compared with the control group，the observation group had significantly higher Child-Pugh score， total bilirubin（TBIL），aspartate aminotransferase， and prothrombin time and a significantly lower level of albumin（ALB）（P<0.05）， and there was also a significant difference in the proportion of patients with ascites between the two groups（P<0.05）. The multivariate analysis showed that preoperative Child-Pugh score， TBIL， and ALB were independent influencing factors for neutropenia. Conclusion Splenectomy cannot completely correct neutrophil level in WD patients， which may be associated with the degree of liver damage.
Splenectomy ; Neutropenia

Objective: To explore the factors affecting carotid plaque formation among high-risk populations for stroke, so as to provide the reference for early intervention for carotid atherosclerosis among the populations. Methods: Permanent residents were selected from Minhang District, Shanghai Municipality using the multi-staged cluster random sampling method from April to September 2021. Basic information, family history of stroke and past medical history were collected by the Community and Township Population Screening Scale for Cardiovascular and Cerebrovascular Disease Risk Factors. High-risk populations for stroke were identified according to the Technical Specifications for Stroke Screening and Prevention. Carotid plaque status was assessed using carotid ultrasonography. Factors affecting carotid plaque formation were analyzed using a multivariable logistic regression model. Results: Among the 25 666 permanent residents surveyed, 8 459 were identified as high-risk populations for stroke, including 3 362 males and 5 097 females, with a male-to-female ratio of 0.66︰1. The median age was 66.00 (quartile range, 11.00) years. Carotid plaque were detected in 4 305 cases among high-risk population for stroke, accounting for 50.89%. Multivariable logistic regression analysis showed that advanced age (OR=1.052, 95%CI: 1.043-1.061), family history of stroke (OR=1.297, 95%CI: 1.103-1.526), hypertension (OR=1.245, 95%CI: 1.025-1.512) and diabetes (OR=1.439, 95%CI: 1.241-1.669) were associated with a higher risk of carotid plaque formation in male high-risk population for stroke, advanced age (OR=1.058, 95%CI: 1.051-1.066), lack of exercise (OR=1.138, 95%CI: 1.001-1.294), family history of stroke (OR=1.201, 95%CI: 1.062-1.357), significant overweight or obesity (OR=1.269, 95%CI: 1.127-1.430) and hypertension (OR=1.169, 95%CI: 1.003-1.362) were associated with a higher risk of carotid plaque formation in female high-risk population for stroke. Conclusion The main influencing factors for carotid plaque formation among high-risk populations for stroke include age, family history of stroke, exercise, significant overweight or obesity, hypertension and diabetes, with gender differences observed.