Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective To investigate the expressions of H3.3G34W,p63 and SATB2 in giant cell tumor of bone(GCTB)and the effect and value of their combined application in the diagnosis of GCTB.Methods We collected the samples and medical records of 54 cases of GCTB and 83 cases of non-giant cell tumor of bone(14 cases of aneurysmal bone cyst,16 cases of chondroblastoma and 53 cases of non-ossifying fibroma)diagnosed between 2020 and 2022 in the Department of Pathology of Honghui Hospital Affiliated to Xi'an Jiaotong University.The expressions of H3.3G34W,p63 and SATB2 were detected by EliVision immunohistochemical method.X2 test was used to determine whether there are significant differences in the positive rates of H3.3G34W,p63 and SATB2 among all the groups.The combined diagnostic model including H3.3G34W,p63 and SATB2 was established by Logistic regression analysis,and the diagnostic value of the model was evaluated by ROC curve analysis.Results The positive rates of H3.3G34W,p63 and SATB2 in GCTB group were 81.5％,90.7％and 92.6％,respectively;the positive rates in NGCTB group were 2.4％,28.9％and 62.7％.Compared with NGCTB group,the age of GCTB group was significantly older[(41.222±14.849)vs.(16.566±9.439),P＜0.001],and the prevalence was higher in women than in men(51.9％vs.48.1％,P＜0.001).In addition,compared with the NGCTB group,the positive rates of H3.3G34W(81.5％vs.2.4％,P＜0.001),p63(90.7％vs.28.9％,P＜0.001)and SATB2(92.6％vs.62.7％,P＜0.001)were significantly higher in the GCTB group.Univariate regression analysis built a univariate prediction modeland ROC curve analysis showed that age(AUC=92.9％,P＜0.001),sex(AUC=64.5％,P=0.004),H3.3G34W positive rate(AUC=89.5％,P＜0.001),p63 positive rate(AUC=80.9％,P＜0.001)and SATB2 positive rate(AUC=65.0％,P=0.003)were independent predictors of diagnosis of giant cell tumor of bone.Multivariate regression analysis(Logistic)constructed a hybrid prediction model.ROC curve analysis suggested that the hybrid model showed better prediction value than the single factor model(AUC=98.4％,P＜0.001).Conclusion H3.3G34W,p63 and SATB2 are effective molecular markers for the diagnosis of GCTB,and their combined application can improve the prediction efficiency of the diagnosis of GCTB.

Background::Highly expressed in various human cancers, circular RNA Protein Kinase C Iota (circPRKCI) has been reported to play an important role in cancer development and progression. Herein, we sought to reveal the prognostic and clinical value of circPRKCI expression in diverse human cancers.Methods::We searched the Pubmed, Web of Science, and the Cochrane Library databases from inception until May 16, 2021. The relationship between circPRKCI expression and cancer patients’ survival, including overall survival (OS) and disease-free survival (DFS), was assessed by pooled hazard ratios (HR) with corresponding 95% confidence interval (CI). The correlation between circPRKCI expression and clinical outcomes was evaluated using odds ratios (OR) with corresponding 95% CI. The data were analyzed by STATA software (version 12.0) or Review Manager (RevMan 5.3).Results::A total of 15 studies with 1109 patients were incorporated into our meta-analysis. The results demonstrated that high circPRKCI expression was significantly related to poor OS (HR = 1.96, 95% CI: 1.61, 2.39, P <0.001) when compared with low circPRKCI expression in diverse human cancers. However, elevated circPRKCI expression was not associated with DFS (HR = 1.34, 95% CI: 0.93, 1.95, P = 0.121). Furthermore, the patient with a higher circPRKCI expression was prone to have a larger tumor size, advanced clinical stage, and lymph node metastasis, but it was not significantly correlated with age, gender, and distant metastasis. Conclusion::Elevated circPRKCI expression was correlated with worse OS and unfavorable clinical features, suggesting a novel prognostic and predictive role of circPRKCI in diverse human cancers.

[Objective]To explore the expression of transcription factor KLF16 in nonalcoholic fatty liver disease(NAFLD)and its effect on lipid metabolism.[Methods]An animal model of NAFLD was constructed in mice induced by a high-fat diet.The mice were divided into normal diet group(ND)and high fat diet group(HFD).NAFLD cell model was constructed by primary mouse liver cells induced by oleic acid.The cells were divided into control group(Control group)and oleic acid induction group(OA group).Real-time fluorescence quantitative PCR(RT-qPCR)and Western blot were used to detect KLF16 expression in NAFLD animal and cell models.In vitro and in vivo models of KLF16 knockdown were constructed by injection of adeno-associated virus(AAV)into mouse tail veins and transient transfection of cell siRNA.Hematoxylin-eosin staining(HE)and other methods were used to detect changes in lipid deposition in NAFLD models be-fore and after KLF16 knockout.RT-qPCR was used to detect the expression of key genes of lipid metabolism in both cellu-lar and animal NAFLD models before and after KLF16 knockdown.Western blot assay was used to detect the expression of endoplasmic reticulum stress protein in NAFLD model before and after KLF16 knockdown.[Results]The expression level of KLF16 was up-regulated in HFD group and OA group,and lipid deposition was increased in OA group after KLF16 was depressed.There was no change in TC level in hepatocytes between groups(P>0.05),and TG level was increased in differ-ent degrees(P<0.05,P<0.001).At the same time,the change of KLF16 expression also caused the change of ER stress protein expression in OA group.[Conclusion]The transcription factor KLF16 may alleviate lipid deposition in nonalcoholic fatty liver disease by endoplasmic reticulum stress.

Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.

Radiotherapy can cause functional and morphological changes in the brain tissues of patients with primary or metastatic malignant brain tumors, leading to radiation-induced brain injury. However, the pathogenesis of radiation-induced brain injury has not yet been unanimously determined, and its research advances and treatment protocols are yet to be elucidated and improved. In this study, we explore the pathogenesis of radiation-induced brain injury from the perspective of vascular injury, inflammatory reactions, neuronal dysfunction, glial cell injury, and gut microbiota and reviewed the advances in research on its treatment and prevention. The purpose is to provide a reference and theoretical basis for the research and clinical diagnosis and treatment of radiation-induced brain injury.

To explore reform paths and information technology construction models for procurement management in public hospitals,and to design effective business processes and system architectures,the Sixth Affiliated Hospital of Sun Yat-sen Univer-sity(hereinafter referred to as"Z Hospital")has taken the lead in procurement management reform.By building a digital man-agement system based on workflow,Z Hospital's procurement management system breaks down information silos,controls internal and external risks,and establishes informational supervision methods,thereby improving the efficiency of procurement activities and the quality of data.This paper uses the construction practice of Z Hospital's procurement management system as a case study to review the current status and issues of procurement management reform in public hospitals from the perspective of internal con-trol development.It analyzes the potential risks of information technology construction,target functions,system architecture,and application effects,providing practical experience for the informatization of procurement operations in public hospitals from both technical and theoretical perspectives.

This article introduces the establishment of purchase-management separation system in a tertiary comprehen-sive hospital in Guangzhou as a case study.To realize high-quality development,this hospital standardized its procurement man-agement,strengthened prevention and control of risks in integrity,and implemented procurement project performance.By doing these,the hospital proposed a specific plan from multi-facets such as establishment of internal management system,separation of duty and right,and risk prevention and control.These measures clarified a links of whole procurement process,specified the du-ties,improved the communication between procurement and management.Consequently,procurement performance and efficiency were notably improved.Their achievements provide practical references for publish hospitals to establish purchase-management separation systems,thereby promoting high-quality development of public hospital.

Background::Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia (BPSD) in Alzheimer’s disease (AD). This study aimed to develop and validate a novel genetic-clinical-radiological nomogram for evaluating BPSD in patients with AD and explore its underlying nutritional mechanism.Methods::This retrospective study included 165 patients with AD from the Chinese Imaging, Biomarkers, and Lifestyle (CIBL) cohort between June 1, 2021, and March 31, 2022. Data on demographics, neuropsychological assessments, single-nucleotide polymorphisms of AD risk genes, and regional brain volumes were collected. A multivariate logistic regression model identified BPSD-associated factors, for subsequently constructing a diagnostic nomogram. This nomogram was internally validated through 1000-bootstrap resampling and externally validated using a time-series split based on the CIBL cohort data between June 1, 2022, and February 1, 2023. Area under receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess the discrimination, calibration, and clinical applicability of the nomogram.Results::Factors independently associated with BPSD were: CETP rs1800775 (odds ratio [OR] = 4.137, 95% confidence interval [CI]: 1.276-13.415, P = 0.018), decreased Mini Nutritional Assessment score (OR = 0.187, 95% CI: 0.086-0.405, P <0.001), increased caregiver burden inventory score (OR = 8.993, 95% CI: 3.830-21.119, P <0.001), and decreased brain stem volume (OR = 0.006, 95% CI: 0.001-0.191, P = 0.004). These variables were incorporated into the nomogram. The area under the ROC curve was 0.925 (95% CI: 0.884-0.967, P <0.001) in the internal validation and 0.791 (95% CI: 0.686-0.895, P <0.001) in the external validation. The calibration plots showed favorable consistency between the prediction of nomogram and actual observations, and the DCA showed that the model was clinically useful in both validations. Conclusion::A novel nomogram was established and validated based on lipid metabolism-related genes, nutritional status, and brain stem volumes, which may allow patients with AD to benefit from early triage and more intensive monitoring of BPSD.Registration::Chictr.org.cn, ChiCTR2100049131.

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+