OBJECTIVE: To analyze the clinical characteristics of patients with 11q23 rearrangement acute lymphoblastic leukemia (ALL) with non-KMT2A::AFF1 fusion genes. METHODS: The clinical data of 10 patients with KMT2A fusion gene positive and partner gene non-AFF1 ALL admitted to Henan Cancer Hospital from December 2016 to December 2024 were retrospectively summarized. The immunophenotype, molecular genetic characteristics, clinical manifestations and disease prognosis of these patients were analyzed. This research has been approved by the Medical Ethics Committee of Henan Cancer Hospital (Ethics No.: 2019342). RESULTS: Among the 10 patients, the fusion genes were KMT2A::MLLT1 in 7 cases, KMT2A::MLLT4, KMT2A::MLLT3 and KMT2A::MLLT10 in 1 case each. The European Group for the Immunological Classification of Leukemias (EGIL) classification included 6 cases of T-ALL, 2 cases of pro-B-ALL, 1 case of Common-B-ALL and 1 case of pre-B-ALL. 4 cases of B-ALL all expressed CD19, cCD79a, CD38 and HLA-DR, and some expressed CD34 and CD22, without expression or weak expression of CD10, without expression of CD20. One case was accompanied by myeloid marker CD15 expression. 6 cases of T-ALL all expressed CD34, CD7, most expressed CD38, and some expressed CD3, CD5, CD2, CD4 and CD8, and 1 case expressed CD4 and CD8 together. Chromosomal abnormalities were detected in 3 cases, 5 cases were positive for WT1 fusion gene, and 6 cases had gene alterations. 9 patients achieved the first complete remission (CR1) during chemotherapy, and 1 patient relapsed within 6 months after CR1. At the last follow up, 1 patient (the fusion gene was KMT2A::MLLT4) remained unrelieved. There were 2 cases of KMT2A rearrangement (KMT2A-r) persistent positive (+/+) and 8 cases of KMT2A-r negative (+/-). The overall survival (OS) rate and leukemia-free survival (LFS) rate of patients with KMT2A-r persistent positive were significantly lower than those of patients with negative change, and the differences were statistically significant (P values were all < 0.05). Among the 3 patients who received chemotherapy+allogeneic hematopoietic stem cell transplantation (allo-HSCT), no relapse was observed until the follow up day. The OS rate and LFS rate of patients with KMT2A::MLLT1 and chemotherapy+allo-HSCT were higher than those of non-KMT2A::MLLT1 and single chemotherapy patients, and the differences were not statistically significant (P values were all ≥ 0.05). There was no significant difference in OS rate and LFS rate between T-ALL and B-ALL patients (P values were all ≥ 0.05). The median LFS time of the 10 patients was 32 (0 ~ 100) months, and the median OS time was 36 (1 ~ 101) months. CONCLUSION The 11q23 rearrangement ALL with non-KMT2A::AFF1 transcript is mainly KMT2A::MLLT1, T-ALL is more common, and the rate of chromosomal karyotype detection is relatively low. Persistent positive KMT2A-r is unfavorable for patient survival, and allo-HSCT during the CR1 period may improve patient survival.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Female ; Male ; Myeloid-Lymphoid Leukemia Protein/genetics* ; Histone-Lysine N-Methyltransferase/genetics* ; Adult ; Adolescent ; Chromosomes, Human, Pair 11/genetics* ; Child ; Transcriptional Elongation Factors/genetics* ; Gene Rearrangement ; Oncogene Proteins, Fusion/genetics* ; Retrospective Studies ; Young Adult ; Middle Aged ; Prognosis ; Child, Preschool ; DNA-Binding Proteins/genetics*

ObjectiveTo observe the clinical efficacy of Shentong Zhuyutang combined with Dilongtang in the treatment of lumbar disc herniation （LDH） with Qi stagnation and blood stasis syndrome， and its effect on nucleus pulposus reabsorption and immune-inflammatory factors， exploring its therapeutic mechanism from the perspective of reabsorption. MethodsA total of 120 patients with LDH from the Fourth Clinical Medical College of Guangzhou University of Chinese Medicine， treated between June 2020 and January 2023， were randomly divided into the control group （52 cases， with 8 dropouts） and the observation group （49 cases， with 11 dropouts） according to a random number table. The control group received routine treatment， while the observation group was treated with Shentong Zhuyutang combined with Dilongtang in addition to routine treatment. Visual Analogue Scale （VAS）， Oswestry Disability Index （ODI）， Japanese Orthopaedic Association （JOA） score， and traditional Chinese medicine （TCM） syndrome score were measured before treatment and after 3 courses of treatment. Venous blood samples were collected for the determination of serological indexes. MR examination was performed during the 6-month follow-up to calculate the absorption rate. ResultsAfter treatment， both groups showed significant reductions in VAS， ODI， TCM syndrome score， serum tumor necrosis factor （TNF）-α， matrix metalloproteinase （MMP）-9， and vascular endothelial growth factor （VEGF） levels， and a significant increase in JOA score compared with pre-treatment values （P<0.05）. Compared with the control group， the observation group showed significantly lower VAS， ODI， TCM syndrome score， serum TNF-α， MMP-9， and VEGF levels， and a significantly higher JOA score （P<0.05）. The proportion of nucleus pulposus reabsorption in the observation group was 57.14% （28/49）， significantly higher than 21.15% （11/52） in the control group （χ²=6.161， P<0.05）. ConclusionShentong Zhuyutang combined with Dilongtang can effectively relieve pain， improve lumbar function， and alleviate TCM clinical symptoms in LDH patients with Qi stagnation and blood stasis syndrome. Imaging findings suggest that the treatment promotes the reabsorption of nucleus pulposus protrusion， while laboratory testing shows reduced serum levels of TNF-α， MMP-9， and VEGF， which contribute to the rehabilitation of patients.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To explore different construction models and experiences of clinical laboratory centers under exist-ing Integrated county healthservices entity,analyze and discuss the characteristics of various construction models,and provide ref-erences for the development of county-level clinical laboratory centers.Methods Based on the five factors of"man,machine,material,method,and environment"in Total Quality Management theory,an interview outline and questionnaire were designed for county-level clinical laboratory centers.Eleven county-level clinical laboratory centers across the country were investigated to analyze their construction models,investment returns,and other aspects.Literature reviews and case studies were also conducted to summarize the construction models and characteristics of county-level clinical laboratory centers.Results The construction models of county-level clinical laboratory centers are mainly divided into five types,each with distinct features.Through an analy-sis of the investment returns of these models unde rIntegrated county healthservices entity,it was found that a profit distribution ratio of approximately 5∶5 between county-level clinical laboratory centers and township health centers for referred samples is more conducive to maintaining the stability of sample sources.The construction model of county-level clinical laboratory centers is closely related to the medical service capacity of both county and township levels.Conclusion Counties with stronger county hospital capabilities tend to establish relatively independent regional laboratory centers based on the county hospital's laboratory department.Regardless of the model,the primary goal of county-level clinical laboratory centers should be to provide high-quality testing services coverage across the entire county.The key to the success of county-level clinical laboratory centers lies in motiva-ting grassroots personnel.

Objective:To assess the influencing factors of glycemic control among type 2 diabetes mellitus (T2DM) patients, in particular the correlations between peripheral blood eosinophils and metabolic indicators such as glucose, lipids, and uric acid (UA) in these patients.Methods:T2DM patients who were regularly followed up in the Intensive Diabetes Mellitus Clinic of Peking Union Medical College Hospital from January 2016 to September 2024 were prospectively selected as the research subjects. The clinical data of these patients at their first visit and at the 3rd, 6th, 9th, and 12th months of follow-up were collected. The potential correlations of peripheral blood eosinophils with blood glucose control, lipid metabolism, UA metabolism, and inflammation as well as their influencing factors were analyzed.Results:A total of 161 T2DM patients were included. The glycated hemoglobin A1c (HbA1c) compliance rate was significantly higher during the follow-up visits (3, 6, 9, and 12 months) than baseline (all P<0.05) but showed no significant correlation with the count or percentage of peripheral blood eosinophils. Spearman correlation analysis showed that the percentage of peripheral blood eosinophils was negatively correlated with Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) ( P=0.049) and high-density lipoprotein cholesterol (HDL-C) ( P=0.002) and positively with serum triglyceride (TG) ( P=0.034) and UA levels ( P<0.001). A further linear regression model analysis of these four variables and the percentage of eosinophils revealed that the percentage of peripheral blood eosinophils was only linearly correlated with serum UA level ( P<0.001). Conclusion:The percentage of peripheral blood eosinophils in T2DM patients is independently correlated with serum UA level, and monitoring serum UA level is important in T2DM management. Early identification and intervention of hyperuricemia can help provide more comprehensive and precise medical interventions for T2DM patients.

Objective:To investigate the efficacy and safety of transurethral water vapor thermal therapy(WVTT)using the Rezūm system for benign prostatic hyperplasia(BPH)in the real world.Methods:A total of 181 patients with BPH were recruited from the Second Affiliated Hospital of Nanjing Medical University from August 2022 to December 2023,of whom 173 patients were treated with WVTT using the Rezūm system,while 8 patients were treated with WVTT combined with TURP.They were followed up at 1,3,and 6 months postoperatively to assess changes in the IPSS,QoL,Qmax,IIEF-5,and the occurrence of any complications.Results:All 181 surgeries in this group were successfully completed.The operation time of the Rezūm system was(4.6±1.4)mi-nutes.The postoperative indwelling catheterization time was(8.0±2.1)days.With a follow-up of at least 6 months,there was a significant decrease in PV,IPSS and QoL,and a remarkable increase had been found in Qmax as well(P＜0.05).There was no sig-nificant difference in IIEF-5 before and after the operation(P＞0.05).In this groups of patients,postoperative complications mainly included 95 cases(52.5％)of gross hematuria,6 cases(3.3％)of retrograde ejaculation,5 cases(2.8％)of urethral stricture,4 cases(2.2％)of prostatitis,and 10 cases(5.5％)of urinary tract infection.Four cases(2.2％)underwent surgical retreatment for BPH after surgery.Conclusion:In the real world,the use of Rezūm thermal steam ablation system for the treatment of BPH has sat-isfactory short-term effect,short surgical time,and significant improvement in IPSS,QoL,Qmax,which does not adversely affect sexu-al function.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Xeroderma pigmentosum(XP)is a rare autosomal recessive disorder related to XP gene variation,often causing secondary malignant tumors.This article reports a case of a young child with secondary squamous cell carcinoma of the lower lip caused by xero-derma pigmentosum.Through a review of relevant literature,the clinical characteristics,pathogenesis,clinical pathological manifesta-tions,and prognosis of XP are discussed.