Purpose To study the levels and subcellular localization of β-catenin in 5 different molecular subtypes of breast carcino-mas. Methods An immunohistochemical study was undertaken for measuring the levels and subcellular localization ofβ-catenin in 58 breast carcinomas. Results ( 1 ) The cytoplasmic expression of β-catenin was 21. 1%, 50%, 60%, 100% and 60% ( TNBC 84. 6%) in Lumina A, Lumina B, HER-2-OE, basal-like breast carcinoma ( BLBC) and uncl phenotype respectively. High cytoplas-mic expression was associated with the BLBC and TNBC subtypes ( P<0. 05 ) . ( 2 ) An association was identified between high cyto-plasmic expression of β-catenin, and high tumor grade (P<0. 01), abnormal E-cadherin, positive Ki-67 and CK5/6 (P<0. 05), negative ER and PR (P<0. 01), but no association was observed for lymph node metastasis, tumor size and patients’age. Conclu-sion An association is identified between high cytoplasmic expression, and high tumor grade, positive Ki-67 and CK5/6, negative ER and PR, that means a high cytoplasmic expression ofβ-catenin is associated with an adverse outcome in breast cancer. High cytoplas-mic expression are associated with the BLBC and TNBC subtypes whcih recognizing Wnt signaling as a rational target in TNBC and BLBC. The results of the study have implications for therapeutic target identification and the design of future clinical trials for TNBC and BLBC.

Objective To explore the value of bone marrow biopsy ( BMB) in early diagnosis of aggressive NK cell leukaemia( ANKL). Methods The clinical data of ten cases with ANKL were retrospectively analyzed,morphology, immunophenotype and hybridization in situ of bone marrow were analyzed. Results In all cases, BMB showed hypercellular, with 4 cases markedly hypercellular. Atypical neoplastic cells demonstrated focal and fascicle growth pattern and were composed of median-sized cells with a few cytoplasm, slightly irregular nuclei, fine chromatin, indistinct nucleoli and some mitotic counting. Characteristic histocytes with haemophagocytosis were observed in the bone marrow slides. The neoplastic cells were positive for CD2、CD3e、CD7、CD56、TIA-1. EBER was found positive in all cases. Conclusion Bone marrow biopsy and immunochemistry were essential and reliable diagnostic tool in early diagnosis of ANKL.

Needle-embedding therapy is characterized by shallow puncture and long retention of needle, which can reduce the pain during acupuncture and prolong the time of acupuncture effect to improve the effect, especially suitable for perioperative patients. The study shows that the clinical application of needle-embedding therapy has the effects of sedation, analgesia, reducing stress response, protecting gastrointestinal function and promoting postoperative recovery. The paper shows the advantages of traditional Chinese medicine (TCM) treatment in the field of rapid recovery during perioperative period and provides a new method for perioperative patients.

Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.

Objective: To study the clinical features and treatment of children with influenza, and provide evidence for clinical screening and appropriate treatment timely. Methods: Epidemiology, clinical manifestations, laboratory features and drug therapy of 978 pediatric patients with influenza in Beijing New Century International Children's Hospital in 2014 were analyzed retrospectively. Results: Among the 978 pediatric patients with influenza, 90.8%were outpatients, while 9.92% were inpatients. The incidence was the highest in winter (85.28%). The age of most cases ranged from 1 to 5 years (57.16%). The cases with type A influenza accounted for 81.29%. High fever (99.59%) and cough (85.89%) were the two main symptoms. The average count of WBC was 6.86±2.68×10⁹/L, lymphocyte percentage was lower than the proportion of neutrophils. CRP was normal (66.16%) or slightly-increased (19.00± 15.12 mg/l). Compared with type A influenza, digestive tract symptoms were more common in cases with type B (P=0.000). Analysis of 97 hospitalized cases: the main diagnosis was lower respiratory tract infection (71.13%). Nearly 23.71% cases had been detected to have combined infection with other pathogenic agents. Course of fever in cases who started taking oseltamivir after fever of 48 hours was significantly longer than those who took within 48 hours (P=0.000). Seven severe pneumonia cases were mainly in young children, cases with underlying disease or mixed infection, they were all cured by active and comprehensive therapy. Conclusions Influenza in children is characterized by high fever and cough, digestive tract symptoms frequently occurred in patients with type B influenza. Early application of oseltamivir could signficantly shorten the period of fever. Severe cases should be given active and comprehensive treatments.