Objective To analyze the levels of serum CTCs and ctDNA in NSCLC patients receiving first-line EGFR-TKI treatment, and to explore the clinical value of CTCs and ctDNA detection in assessing the efficacy of treatment for advanced lung cancer. Methods A total of 109 NSCLC patients receiving first-line EGFR-TKI treatment were enrolled. Serum tumor markers CEA, CTCs, and ctDNA were detected at baseline and after one month of treatment. Chest CT scans were performed, and treatment efficacy was evaluated based on RECIST1.1 criteria. CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. Results Survival rate was low in patients with abnormal CEA and ctDNA tests at baseline and in patients with reduced serum CTCs after treatment. In the SD subgroup of patients with brain metastases and advanced stage, the PFS benefit was low. Conclusion Patients in the SD subgroup have significantly higher recurrence risks than those in the PR or CR subgroups. Therefore, CTC and ctDNA testing should be applied to patients in the SD subgroup to identify high-risk patients with poor response to EGFR-TKI treatment, intervene with additional treatment promptly, and obtain long progression-free survival.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

⁶⁰Co-γ ray irradiation has the unique advantages of high efficiency， strong penetration， operation at room temperature and no residue， which has been widely used in the sterilization of Chinese medicinal materials， decoction pieces， Chinese patent medicine. However， the irradiation effect may cause changes in the content of chemical components in Chinese materia medica or the emergence of new radiolysis products， leading to reduced efficacy and uncontrollable safety risks. This paper reviewed the relevant literature at home and abroad， summarized the effect of irradiation sterilization on various types of chemical compositions of Chinese medicinal materials and their preparations， and analyzed and explored the rule of change. The results showed that the content changes of various chemical components in Chinese materia medica after ⁶⁰Co-γ ray irradiation sterilization varied. The contents of most flavonoids， terpenoids， phenylpropanoids and quinones decreased after irradiation， and the degree of decrease increased with the elevated irradiation dose. The contents of lignans， alkaloids， isoflavones and some terpenoids did not change significantly before and after irradiation， while the content changes of triterpenoid saponins， dihydroflavonols， chalcones， sugars and glycosides after irradiation were not yet uniform. Therefore， it is recommended to pay attention to the compositional changes of irradiated Chinese medicines， strengthen the research on the standards of irradiated Chinese medicines， and standardize the irradiation and sterilization of Chinese medicines in order to promote the healthy and rational application of irradiated Chinese medicines.

ObjectiveBased on the Huangdi Neijing，a traditional Chinese medicine（TCM）identification scale of five human qualities was constructed and applied in elderly people to evaluate its reliability and validity. MethodsBased on the original text of the Huangdi Neijing and a review of relevant ancient and modern literature， an identification scale of five human qualities was developed through Delphi expert interviews. Offline surveys were conducted to evaluate the feasibility，reliability，and validity of its application in elderly people，and the scale was evaluated and revised. ResultsThe scale of five human qualities is divided into five subscales：wood，fire，earth，metal，and water. Each subscale is divided into four dimensions：morphological structure，psychological characteristics，tolerance，and physiological characteristics，with a total of 75 items. The survey results in elderly people show that：（1） The recovery rate and completion rate are 100%，and the average filling time is 23.3 min. 85.5% of the samples are completed within the preset time. （2） Reliability analysis results：The homogeneity reliability of each subscale，Chronbach's α，ranges from 0.702 to 0.793. The scores of each subscale in the split-half reliability range from 0.758 to 0.841， indicating that the internal consistency of the scale is good. （3） Validity analysis results. Content validity：During the development stage of the scale，the item pool，dimensions，and structure of the scale are designed reasonably， and the content is complete. The evaluation of content validity shows that the item-level content validity index （I-CVI） ranges from 0.83 to 1.00， and the scale-level content validity index for universal agreement （S-CVI/UA） is 0.92，indicating good content validity of the scale. Construct validity extracts 22 common factors based on an eigenvalue of 1，with a contribution rate of 62.333% to the overall system. The number of common factors in the five subscales is 4，5，4，5，and 4，respectively，with contribution rates of 52.64%，53.376%，51.445%，51.359%，and 50.714%，respectively，indicating the required structure for physical fitness measurement in elderly people. ConclusionThe scale constructed in this study has high reliability and validity，and it is suitable for evaluating the physical condition of elderly people in TCM.

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

OBJECTIVE: To evaluate the clinical efficacy and safety of clavicular anatomical plate in the treatment of clavicular Allmanic fracture. METHODS: Between January 2016 and December 2022, 27 patients with Allman ⅡC distal clavicle fractures were treated with clavicular anatomical plate. There were 19 males and 8 females, aged from 16 to 69 years old, with an average of (39.74±12.71) years old. There were 15 patients on the left side and 12 patients on the right side. There were 15 patients with single clavicle fracture and 12 patients complicated with other parts of the body or organ injury. The broken ends of the fractures were fixed with clavicular anatomical plate, including common compression clavicular anatomical plate in 19 patients and locking clavicular anatomical plate in 8 patients. The operation time and hospitalization days were recorded. Visual analogue scales (VAS) were utilized to assess subjective pain levels both preoperatively and 3 days postoperatively. Postoperatively, patients were monitored at intervals of 1 to 3 months until X-ray films confirmed fracture healing. In accordance with the University of California, Los Angeles (UCLA) shoulder rating system, evaluations were conducted on postoperative pain alleviation, functional recovery, range of motion in forward flexion, strength in forward flexion, and patient satisfaction. RESULTS: All patients were followed up for a period ranging from 12 to 18 months with an average of (14.70±1.61) months, and all clavicular fractures achieved successful union. The wounds of 24 patients healed in one stage, and 3 patients developed bleeding and exudation, they were cured after dressing change. There were no complications such as infection, plate and screw fracture, vascular and nerve injury. The operation time was(67.56±11.01) min. Significant differences were observed in pain relief, functional improvement, range of motion for forward flexion, strength of forward flexion, patient satisfaction, and overall scores at preoperative, 3 months postoperatively, 6 months postoperatively, and at the final follow-up(P<0.001). CONCLUSION The utilization of clavicular anatomical plates for the management of Allman typeⅡC fractures can provide early and stable fixation without compromising the acromioclavicular joint, thereby enabling patients to commence early mobilization and ensuring optimal fracture healing.
Humans ; Male ; Female ; Clavicle/surgery* ; Adult ; Bone Plates ; Middle Aged ; Fractures, Bone/physiopathology* ; Adolescent ; Aged ; Fracture Fixation, Internal/instrumentation* ; Young Adult

Objective: To retrospectively compare the impact of different intraoperative transfusion strategies for platelets and cryoprecipitate on perioperative blood usage and clinical outcomes in patients undergoing orthotopic heart transplant (OHT), thereby providing a reference for perioperative patient blood management. Methods: The clinical data of 65 patients who had undergone OHT at our hospital between 2020 and 2025 were retrospective collected. Patient demographics, underlying chronic conditions, and perioperative (preoperative, intraoperative, and postoperative) laboratory blood test results were analyzed. The transfusion volumes of intraoperative red blood cells, plasma, platelets, and cryoprecipitate were examined. Univariate and multivariate logistic regression models were employed to identify factors associated with perioperative outcomes. Results: A total of 65 patients received allogeneic blood transfusion during the perioperative period. The ultilization of intraoperative platelets and cryoprecipitate was as follows: simultaneous transfusion of both platelets and cryoprecipitate (at a 1∶1 ratio) was administered in 42 patients (64.62%), platelets alone in 12 patients (18.46%), and cryoprecipitate alone in 11 patients (16.92%). Patients who received simultaneous transfusion of platelets and cryoprecipitate (1∶1) (n=42) had a shorter ICU length of stay (32.45±10.18 d), while those who received either platelets or cryoprecipitate alone (n=23) had a significantly longer ICU length of stay (68±15.97 d). Patients receiving simultaneous intraoperative transfusion of platelets and cryoprecipitate also required fewer units of allogeneic red blood cells intraoperatively (median=4 units) and had a lower mortality rate (16.7%) than those receiving either product alone (26.1%), with a statistically significant difference (P=0.023). Multivariate logistic regression analysis indicated that the volume of cryoprecipitate transfused was an independent protective factor against postoperative allogeneic red blood cell transfusion (OR=0.344, 95% CI [0.177, 0.829], P=0.0159). Multivariate logistic regression also identified cryoprecipitate transfusion volume as an independent protective factor for ICU length of stay (OR=0.877, 95% CI [0.719, 0.986], P=0.0008), which was in line with the multivariate Cox regression results. Conclusion: In patients undergoing OHT, the intraoperative transfusion strategy for platelets and cryoprecipitate influences the volume of perioperative allogeneic red blood cell transfusion and patient mortality. Intraoperative cryoprecipitate transfusion volume is an independent protective factor against both postoperative allogeneic red blood cell transfusion and prolonged ICU length of stay. The establishment of a multidisciplinary collaborative blood management model, combined with the modification of perioperative blood utilization practices and the implementation of a comprehensive patient blood management strategy, can holistically ensure perioperative patient safety.

Objective: To evaluate the safety and efficacy of the emergency infusion protocol for universal red blood cells by analyzing its clinical application in patients treated at our hospital's war trauma and emergency center. Methods: Data were collected from 133 patients who received universal red blood cell transfusion in the war trauma center of our hospital from January 2016 to December 2024. The basic information, universal red blood cell transfusion volume, compatible blood components, transfusion volume, blood routine (Hb, Hct), liver and kidney function (ALT, AST, TBil, DBil, creatinine, etc.) and coagulation function (PT, APTT, Fib, etc.) before and after transfusion were retrospectively analyzed. Results: Among the 133 patients who received a total of 374 units of universal red blood cells, the 24-hour survival rate was 62.4% (83/133). Spearman correlation analysis showed a positive correlation between shock index and universal red blood cell transfusion volume (r=0.283, P<0.05). Patients were stratified by universal red blood cell transfusion volume (≤ 3 U vs ≥ 4 U). The low volume group had less homotypic red blood cell transfusion volume and total transfusion volume at different time points, and the difference was statistically significant: within 2 h [2(2, 4)vs 4(3, 7), P=0.033<0.05], 0~24 h [6(4, 9) vs 8(6, 14), P=0.028<0.05], total transfusion volume [13(8, 20)vs 19(12, 35), P=0.021<0.05]. No acute hemolytic transfusion reaction occurred within 24 hours after transfusion of universal red blood cell. Conclusion: Universal red blood cells are safe for use in emergency treatment. Furthermore, the shock index combined with the volume of universal red blood cells transfused can predict subsequent transfusion requirements and enables the early reservation of compatible blood, thereby preventing delayed resuscitation.