Objective To investigate the expression of carcinoembryonic antigen-related cell adhesion molecule 6 (CEACAM6) in esophageal squamous cell carcinoma (ESCC) and analyze its correlation with immune cell infiltration and patient prognosis. Methods Three ESCC datasets (GSE161533, GSE26886, and GSE23400) from the GEO database were analyzed to identify differentially expressed genes. CEACAM6 was identified as a key gene through survival analysis. Its expression, prognostic value, and relationship with immune cell infiltration were further explored using databases, such as TIMER. Tissue samples were collected from 162 patients with ESCC. Immunohistochemistry was performed to detect the expression of CEACAM6, immune cell markers (CD4, CD8, CD20, and CD56), and immune checkpoint molecules (HHLA2 and CD40LG). Correlations between CEACAM6 expression and clinicopathological features, immune cell infiltration, and immune checkpoints were analyzed. Results Bioinformatic analysis and clinical sample validation confirmed that CEACAM6 expression was significantly upregulated in ESCC tissues compared with adjacent nontumor tissues (P<0.05). High CEACAM6 expression was closely associated with advanced clinical stage (AJCC Ⅲ-Ⅳ), high T stage (T3-T4), lymph node metastasis, nonulcerative type, and poor prognosis. Furthermore, CEACAM6 expression levels were positively correlated with the infiltration density of CD8⁺ T cells, CD4⁺ T cells, and CD20⁺ B cells within the tumor microenvironment and with the expression of the immune checkpoint molecules HHLA2 and CD40LG (all P<0.05). Conclusion CEACAM6 serves as an independent poor prognostic factor for ESCC. Its high expression is implicated in the modulation of the tumor immune microenvironment by correlating with specific immune cell infiltration and immune checkpoint molecules, suggesting its potential as a novel prognostic biomarker and immunotherapeutic target for ESCC.

OBJECTIVE To clarify the current development status of clinical pharmacist training bases and the pharmacist workforce in China， and to provide evidence for standardizing base construction and promoting the high-quality development of hospital pharmacy. METHODS Questionnaires were distributed to all clinical pharmacist training bases for urgently-needed health professionals and clinical pharmacist training bases under the Chinese Hospital Association that had been approved by the end of 2023 to collect data including base profiles and pharmacist staffing conditions. Expert teams carried out field investigations to verify the collected data. Descriptive statistical analyses were conducted on the quantity， type and regional distribution of training bases， and the influencing factors of pharmacist staffing in the bases were analyzed. RESULTS Field surveys were completed covering 297 training bases across 31 provincial-level administrative regions. Among the base hospitals， 87.88% were Grade A tertiary general hospitals， and 65.32% were located in provincial capitals. The eastern region had the largest number of bases （136， accounting for 45.79%）， followed by the western region （79， 26.60%）. Great disparities existed among provinces in terms of base quantity and hospital scale. The median proportion of pharmaceutical technical personnel in base hospitals was 4.05%， and the median number of clinical pharmacists per 100 hospital beds was 0.53. Both indicators reached the highest in the eastern region （0.57， 4.43%） and the lowest in the northeastern region （0.45， 3.01%）. A total of 3 627 full-time clinical pharmacists were employed in all surveyed bases， among whom 83.68% held clinical pharmacist training certificates， 35.43% possessed senior professional titles， and 78.19% had postgraduate or higher educational background. The total annual training capacity of the surveyed bases was 4 291 trainees， with obvious differences in annual training capacity across regions and provinces. Training specialties covered 19 specialized disciplines plus one general discipline， and no province could deliver training for all 20 specialties simultaneously. Multivariate Logistic regression analysis showed that geographic region exerte d a significant impact on the proportion of pharmaceutical technical personnel （≥4%） （ P ＜0.05）， while the approval time of training bases and hospital scale had significant effects on the number of clinical pharmacists per 100 beds （≥0.6） （ P ＜0.05）. CONCLUSIONS China’s clinical pharmacist training system has basically matured and taken initial shape. The distribution of clinical pharmacist training resources is generally consistent with regional population and economic development levels. However， the allocation of pharmaceutical staff and clinical pharmacists has not yet met national standards and clinical service demands.

OBJECTIVE To clarify the current development status of clinical pharmacist training bases and the pharmacist workforce in China， and to provide evidence for standardizing base construction and promoting the high-quality development of hospital pharmacy. METHODS Questionnaires were distributed to all clinical pharmacist training bases for urgently-needed health professionals and clinical pharmacist training bases under the Chinese Hospital Association that had been approved by the end of 2023 to collect data including base profiles and pharmacist staffing conditions. Expert teams carried out field investigations to verify the collected data. Descriptive statistical analyses were conducted on the quantity， type and regional distribution of training bases， and the influencing factors of pharmacist staffing in the bases were analyzed. RESULTS Field surveys were completed covering 297 training bases across 31 provincial-level administrative regions. Among the base hospitals， 87.88% were Grade A tertiary general hospitals， and 65.32% were located in provincial capitals. The eastern region had the largest number of bases （136， accounting for 45.79%）， followed by the western region （79， 26.60%）. Great disparities existed among provinces in terms of base quantity and hospital scale. The median proportion of pharmaceutical technical personnel in base hospitals was 4.05%， and the median number of clinical pharmacists per 100 hospital beds was 0.53. Both indicators reached the highest in the eastern region （0.57， 4.43%） and the lowest in the northeastern region （0.45， 3.01%）. A total of 3 627 full-time clinical pharmacists were employed in all surveyed bases， among whom 83.68% held clinical pharmacist training certificates， 35.43% possessed senior professional titles， and 78.19% had postgraduate or higher educational background. The total annual training capacity of the surveyed bases was 4 291 trainees， with obvious differences in annual training capacity across regions and provinces. Training specialties covered 19 specialized disciplines plus one general discipline， and no province could deliver training for all 20 specialties simultaneously. Multivariate Logistic regression analysis showed that geographic region exerte d a significant impact on the proportion of pharmaceutical technical personnel （≥4%） （ P ＜0.05）， while the approval time of training bases and hospital scale had significant effects on the number of clinical pharmacists per 100 beds （≥0.6） （ P ＜0.05）. CONCLUSIONS China’s clinical pharmacist training system has basically matured and taken initial shape. The distribution of clinical pharmacist training resources is generally consistent with regional population and economic development levels. However， the allocation of pharmaceutical staff and clinical pharmacists has not yet met national standards and clinical service demands.

OBJECTIVE To investigate the current status of quality management in clinical pharmacist training bases in China， and to provide references for the standardized development and improvement of these bases. METHODS A combined approach of questionnaire survey and on-site investigation was adopted， targeting the healthcare highly sought-after talent （clinical pharmacist） training bases in 31 provinces of China as well as the clinical pharmacist training bases affiliated with the Chinese Hospital Association. A training quality management evaluation index system consisting of 25 tertiary indicators was established. Investigations were conducted from two dimensions： structural quality of training and quality management of training processes. Data were statistically analyzed using descriptive statistical methods. RESULTS On-site investigations were completed for 297 clinical pharmacist training bases across the 31 provinces， among which 284 were affiliated with the Chinese Hospital Association and 271 were healthcare highly sought-after talent （clinical pharmacist） training bases. In terms of structural quality， the core indicator compliance rate for hospital-level training systems exceeded 80%， the rate of special fund utilization for designated purposes reached 80.13%， and the overall compliance rate for software and hardware facilities surpassed 88%. A total of 1 348 preceptors were employed across the training bases， among whom those with senior professional titles and full-time specialist clinical pharmacists as lead preceptors accounted for 62.91% and 94.36%， respectively. Regarding process quality， the compliance rate for “establishment of clinical practice teaching groups in accordance with regulations during clinical department rotations” was 85.19%， and 79.80% and 76.09% of the bases were found to implement strict confidentiality in theoretical examinations and meet the required scale of assessment cases， respectively. However， formal documents of corresponding training management regulations were formulated in only 57.91% of the bases， and the completeness and standardization rate of training manual completion was merely 47.47%. In addition， considerable disparities in quality management levels were observed among provinces， with issues in training process quality being particularly prominent. CONCLUSIONS The management system， hardware facilities， and preceptor staffing of clinical pharmacist training bases in China are relatively well-established， yet notable variations in quality management exist among training bases across different provinces.

Objective:To explore the long-term survival outcomes of patients with anaplastic thyroid cancer (ATC) and analyze key factors influencing the prognosis.Methods:A retrospective analysis was conducted on the clinical and follow-up data of 77 ATC patients treated at the Sun Yat-sen University Cancer Center from March 2000 to July 2022, with tumor-specific survival as the primary endpoint. The Kaplan-Meier method was used to plot the survival curves, and univariate and multivariate Cox regression analyses were performed to identify the prognostic factors.Results:Among the 77 patients, 64 underwent surgical treatment, with 33 receiving surgery alone, 8 undergoing surgery combined with chemotherapy, 13 undergoing surgery with radiotherapy, 1 undergoing surgery with chemotherapy and radiotherapy, 2 receiving surgery combined with chemotherapy and targeted therapy, 3 receiving surgery with targeted therapy, and 4 receiving surgery with immunotherapy and targeted therapy. Among the 13 patients who did not undergo surgery, 2 received chemotherapy alone, 3 received targeted therapy alone, 1 received immunotherapy alone, 1 received chemoradiotherapy, 5 received chemotherapy combined with immunotherapy, and 1 received immunotherapy combined with targeted therapy. The median follow-up time was 8.4 months, with 58 patients (75.3%) died, and the median survival time was 6.63 months. Univariate Cox regression analysis showed that C-reactive protein, monocyte count, lymphocyte count, abnormal albumin levels, the maximum diameter of the primary tumor, BMI, and whether immunotherapy was administered were significantly associated with survival in ATC patients (all P＜0.05). Multivariate Cox regression analysis indicated that immunotherapy was an independent factor for survival in ATC patients ( HR=0.18, 95% CI: 0.05-0.62, P=0.007). Among the 40 patients admitted after 2015, the 11 patients who received immunotherapy had a median survival time of 17.2 months, which was superior to the 29 patients who did not receive this treatment (median survival time 6.2 months, P=0.03). Conclusions:ATC patients receiving immunotherapy had a better prognosis and longer survival. Additionally, elevated C-reactive protein, abnormal albumin, monocyte count, lymphocyte count, and BMI might be associated with poorer prognosis in ATC. Tailoring treatment based on the individual characteristics of ATC patients may be beneficial for their long-term survival.

Objective With the development of manned space missions to the moon and space exploration,extravehicular activities become more frequent and extravehicular mission become more complex,which puts forward higher requirements for the extravehicular spacesuit.In order to ensure the ergonomics of spacesuit,the flexible joints are usually adopted in the limbs of spacesuit.The structural design of large angle of movement and low resistance joints is the basic for ensuring the ergonomics of spacesuit.Methods This study established a method of spacesuit joint structure to analysis the motion characteristic of typical joints.Firstly,the structure and activity characteristics of the spacesuit and lunar space suits were comprehensively analyzed,and the activity characteristics of different typical structure are qualitatively analyzed based on existing empirical method.Then,the dynamics of typical structure was analyzed by finite element model.By studying the change trend of motion of spacesuit joint with motion angle,and the motion characteristic curve was obtained.Finally,the model was studied according to different structural size parameters.The influence of structural parameters on the motion characteristics was analyzed,and the curves was obtained to provide a basis for design of spacesuit motion joint structure.Results Through the above analysis,the motion characteristics of different typical structure are obtained qualitatively.And the influence of different structure parameters on the motion characteristics was analyzed.This establishes the method basis for structure design.Conclusion The study was carried out a method based on finite element model for joint motion analysis,which is suitable for the design of typical joint structure of spacesuit.

Objective To investigate the effects and mechanisms of metformin-induced metabolic intervention on the proliferation and differentiation of myoblasts.Methods C2C12 myoblasts cultured in growth or differentiation media were treated with 1 mmol/L metformin,with DMSO as the control.Cells in growth media were treated for 48 hours,with samples collected every 12 hours for metabolomic analysis,protein expression,mitochondrial function,and proliferation assays.Cells in differentiation media were induced to differentiate for 72 hours,and myotube formation was assessed via embryonic myosin heavy chain immunofluorescence staining.Results Metformin treatment increased intracellular levels of metabolites such as lactate,pyruvate,and adenosine monophosphate,while reducing adenosine triphosphate and thiamine pyrophosphate.Phosphorylation of AMP-activated protein kinase(AMPK)and related protein expression were significantly upregulated(P<0.05).Mitochondrial biogenesis was enhanced,and membrane potential markedly decreased(P<0.05).The proportion of S-phase cells and EdU-positive cells gradually increased(P<0.01),though overall proliferation rate slowed.During differentiation,the myoblast fusion index significantly decreased(P<0.01).Conclusion Metformin induces metabolic reprogramming in myoblasts and suppresses their proliferation and differentiation,with activation of AMPK-related signaling pathways serving as a key molecular mechanism.

Objective To analyze the clinical characteristics and prognosis of patients with spon-taneous coronary artery dissection(SCAD).Methods A retrospective analysis was conducted in 40 patients with acute myocardial infarction(AMI).All patients were diagnosed with SCAD during hos-pitalization through coronary angiography(CAG)or intravascular ultrasound(IVUS).The clinical characteristics,CAG or IVUS findings,and treatment regimens of the patients were analyzed,and their prognosis was assessed through follow-up.Results Among 40 SCAD patients,there were 11 males and 29 females,with a mean age of(53.04±9.15)years.Twelve patients had identified causative factors,and seven patients presented with chest pain as the initial symptom.CAG or IVUS results showed that a total of 69 SCAD lesions were detected in 40 patients,with 15 patients having a single lesion.The primary treatment approach for the patients was medical therapy.The median fol-low-up duration was 34 months(ranging 2 to 48 months),during which 5 major adverse cardiovascu-lar and cerebrovascular events(MACCE)occurred.The patients were divided into MACCE group(5 patients)and non-MACCE group(35 patients)based on occurrence of MACCE.The mean age and the incidence of regional wall motion abnormalities on echocardiography were higher in the MACCE group than in the non-MACCE group(P＜0.05).Conclusion SCAD has distinct imaging features on CAG,and IVUS can confirm the diagnosis.Most patients are treated with medical therapy and have a generally favorable prognosis.However,patients with older age or regional wall motion abnormali-ties on echocardiography have poorer prognosis.

Objective:To investigate the diagnostic and prognostic value of systemic immune inflammatory index (SII) for severe traumatic brain injury secondary to acute lung injury (sTBI-ALI).Methods:A retrospective study was conducted on patients with severe traumatic brain injury admitted to the trauma center of the First Affiliated Hospital of Soochow University from January 2021 to November 2023. Patients received standard treatments including hemostasis and intracranial pressure management. Vital signs and blood routine data were collected upon admission. Patients were categorized into sTBI group and sTBI-ALI group based on established clinical diagnostic criteria for ALI to evaluate the diagnostic utility of SII. Subsequently, within the sTBI-ALI group, patients were stratified into survival and non-survival groups based on their 30-day outcomes to assess the prognostic value of SII.Results:A total of 260 sTBI patients were enrolled, of whom 113 developed ALI. Among the sTBI-ALI patients, 73 survived at 30 days. Compared to the sTBI group, the sTBI-ALI group exhibited significantly higher respiratory rates, heart rates, white blood cell counts, neutrophil counts, platelet counts, and SII levels (all P<0.05). Multivariate logistic regression analysis showed that SII index ( OR=1.003, 95% CI: 1.002-1.004, P<0.001) was an independent risk factor for ALI development in sTBI patients. The combined predictive model incorporating SII and heart rate yielded an AUC of 0.801 (95% CI: 0.740-0.862). The non-survival group had significantly higher neutrophil counts and SII levels, and significantly lower Glasgow Coma Scale scores than the survival group (all P<0.05). Multifactorial regression analysis indicated that SII index ( OR=1.002, P=0.004, 95% CI: 1.000-1.003) served as an independent risk factor for 30-day mortality in sTBI-ALI patients. The combined predictive model of SII and GCS achieved an AUC of 0.904 (95% CI: 0.848-0.960). Conclusions:SII demonstrates potential as a biomarker for predicting the development of ALI following sTBI. Furthermore, incorporating SII into predictive models significantly enhances the ability to forecast mortality risk in sTBI-ALI patients.

In the past decade, breast pathology in China has made significant progress in diagnostic standards, technological applications, scientific research, and discipline development. The histopathological diagnostic system has been continuously refined, with the implementation of relevant guidelines and expert consensus enhancing standardization and reproducibility of diagnostic results. Immunohistochemistry and molecular testing technologies have become increasingly sophisticated, with emerging biomarkers such as low HER2 expression and PIK3CA mutations gradually integrated into clinical decision-making, promoting the advancement of precision therapy. The application of digital pathology and image-assisted analysis has steadily expanded, providing new tools to improve diagnostic efficiency and consistency. The national breast pathology group has actively advanced the development of tiered diagnostic systems, workforce training, and public education, effectively strengthening diagnostic capabilities at the grassroots level. Looking ahead, the integration of multidimensional data, optimization of auxiliary diagnostic systems, and interdisciplinary collaboration are expected to drive the continued development of breast pathology in China.