Lung cancer is the leading cause of cancer-related deaths worldwide， and tumor metastasis is a key factor contributing to the mortality of most lung cancer patients. Aberrant activation of epithelial-mesenchymal transition （EMT） is a major driver of lung cancer progression and metastasis. EMT is characterized by the loss of apical-basal polarity and intercellular adhesion in highly differentiated， polarized， and organized epithelial cells， which acquire motility， migratory potential， and invasive properties. During this process， cells undergo cytoskeletal remodeling and transform into a mesenchymal phenotype， accompanied by associated changes in cellular markers. The EMT process is highly complex and is tightly regulated by intricate networks involving multiple transcription factors， post-translational controls， epigenetic modifications， and non-coding RNAs. Therefore， therapies targeting the mechanisms of malignant transformation and their associated pathways in lung cancer are of significant clinical importance. In recent years， EMT has attracted increasing attention as a potential target for cancer therapy. Chinese medicine， with its characteristics of multi-target action， low side effects， and good therapeutic efficacy， has demonstrated an important role in anticancer treatment. A series of studies have investigated the role of Chinese medicine in inhibiting EMT in lung cancer. Active ingredients of Chinese medicine， including flavonoids， glycosides， phenols， terpenoids， saccharides， and alkaloids， as well as Chinese medicine compound formulas， have shown significant regulatory effects on EMT. Their mechanisms mainly involve multiple pathways， targets， and links， including signaling pathways， exosomes， microRNAs （miRNAs）， and the tumor-associated immune microenvironment. This article summarizes the mechanisms by which EMT promotes malignant tumor progression and reviews the current research on how Chinese medicine active ingredients， monomers， and compound formulas inhibit EMT and suppress lung cancer cell migration and invasion. This study is expected to provide comprehensive theoretical information for basic and translational research on lung cancer.

Objective To identify the multi-dimensional needs of symptom management for oral cancer patients based on the journey map,and provide references for optimizing the symptom management of oral cancer patients.Methods From September 2023 to March 2024,the purposive sampling was used to select 15 perioperative oral cancer patients from a tertiary A general hospital in Zhengzhou for semi-structured interviews.The content analysis method was used to analyze the data and create a patient journey map.Results According to the time axis of diagnosis and treatment,the symptom management of patients with oral cancer was subdivided into 22 themes including identifying abnormal symptoms,clarifying diagnosis,anxiety,fear and uncertainty,guilt,high-risk behavioral inertia solidification,diagnostic trust crisis and so on from 3 dimensions of task,emotion,and pain point,and a journey map was formed.Conclusion The journey of symptom management for patients with oral cancer is long and complex,and the needs of patients'physiological and psychological symptom management are dynamically changing.In the future,the digital intelligence of big data technology can be combined to achieve whole-process,personalized and precise symptom management to improve the quality of life of oral cancer patients.

Objective:To investigate the efficacy of antiviral therapy and influencing factors of hepatitis B surface antigen(HBsAg) negative conversion for hepatitis B e antigen(HBeAg)-positive chronic hepatitis B(CHB) in children.Methods:The clinical data of 38 children with CHB who received antiviral treatment in Children's Hospital Affiliated to Xi'an Jiaotong University from January 2019 to August 2024 were collected.All patients were treated with interferon alpha monotherapy or combined with nucleoside analogues for 48 weeks.The patients were divided into HBsAg negative group and HBsAg non-negative group according to the therapeutic results at 48 weeks.Multivariate Logistic regression were used to identify influencing factors of HBsAg negative conversion at 48 weeks.The receiver operator characteristic（ROC）curve was used to analyze the predictive value of each factor to HBsAg negative conversion.Results:The alanine aminotransferase normalization rate，hepatitis B virus DNA negative rate，HBeAg negative rate and HBsAg negative rate were 76.3%，94.7%，39.5% and 47.4%，respectively at 48 weeks.There were 18 cases in HBsAg negative group and 20 cases in HBsAg non-negative group.There were statistical significant differences in age and HBsAg decline level at 12 and 24 weeks of antiviral treatment between HBsAg negative group and HBsAg non-negative group（ P<0.05）.Multivariate Logistic regression analysis showed that age and HBsAg decline level at 12 and 24 weeks of antiviral treatment were independent predictors of HBsAg negative conversion at 48 weeks（ OR=0.664，95% CI 0.473-0.932， P=0.018； OR=8.719，95% CI 1.920-39.604， P=0.005； OR=6.182，95% CI 2.083-18.347， P=0.001）.The area under the curve of age and HBsAg decline level at 12 and 24 weeks were 0.737（95% CI 0.576-0.899， P=0.012），0.847（95% CI 0.725-0.969， P<0.001）and 0.939（95% CI 0.811-0.991， P<0.001），respectively.When the age was less than 4.625 years，the sensitivity，specificity，positive predictive value and negative predictive value of HBsAg negative conversion at 48 weeks were 83.3%，65.0%，68.2% and 81.3%，respectively.A decrease in HBsAg level of >1.07 lg IU/mL at 12 weeks of treatment had a sensitivity，specificity，positive predictive value，and negative predictive value of 72.2%，90.0%，86.7%，and 78.3%，respectively，for predicting HBsAg seroclearance at 48 weeks.A reduction in HBsAg of >1.92 lg IU/mL at 24 weeks of treatment showed a sensitivity，specificity，positive predictive value，and negative predictive value of 83.3%，90.0%，88.2%，and 85.7%，respectively，in predicting HBsAg seroclearance at 48 weeks. Conclusion:The children with CHB have a higher rate of HBsAg negative conversion after antiviral therapy at 48 weeks.Age and HBsAg decline level at 12 and 24 weeks of antiviral treatment can serve as early predictors for HBsAg negative conversion in children with CHB.

Objective:To investigate the clinical characteristics of non-typhoidal Salmonella（NTS）enteritis in children and the drug resistance of NTS strains.Methods:The clinical data of 138 children who were hospitalized in Children's Hospital Affiliated to Xi'an Jiaotong University from 2022 to 2023 with diarrhea as the main complaint and NTS detected in stool culture were analyzed retrospectively, and the clinical characteristics and drug resistance were summarized.Results:Among 138 children with NTS enteritis，89 were males and 49 were females，with a male-to-female sex ratio of 1.81∶1 and an average age of 1.9（1.0,3.6）years，with a high incidence rate in June,July and August.Seventeen（12.31%）cases had a history of suspected unclean diet before illness.All the children had diarrhea symptoms with changes in fecal frequency and character，including 74 cases of pus and bloody stool，119 cases of mucus stool，and 70 cases of watery stool.One hundred and twenty-five（90.57%）cases had fever.Among 138 cases of fecal culture,there were 47 (34.05%) strains of Salmonella typhimurium,36(26.09%) strains of Salmonella enteritidis,and 55(39.85%) strains of other serotypes of Salmonella .One hundred and twenty-two（88.40%）NTS strains were resistant to more than one antimicrobial agent，and 29（21.01 %）were multi-drug resistant.The resistance rates to ampicillin，ampicillin/sulbactam，ceftriaxone，trimethoprim/sulfamethazole，ceftazidime，cefepime and piperacillin/tazobactam were 73.91%，71.01%，29.71%，29.71%，23.19%，11.59%，and 3.62%，respectively.All strains were sensitive to carbapenem antibiotics（meropenem，imipenem，and ertapenem）.The drug resistance rates of Salmonella typhimurium to ceftazidime and trimethoprim/sulfamethoxazole were higher than those of Salmonella enteritidis（38.30% vs 8.33%），the difference was statistically significant ( P < 0.05). Conclusion:Infants and young children are the high-incidence group of NTS enteritis，with the peak incidence period being from June to August each year，manifested by mucus-pus-blood stools, abdominal pain, vomiting，fever and other symptoms.Reasonable selection of antibiotics in time according to the local epidemic strains,changes of antimicrobial resistance and the results of drug sensitivity test of strains can effectively resist infection and reduce the production of drug-resistant beads.

Objective To explore the mechanism of Tongdu Xingshen acupuncture,the clinical efficacy,systemic inflammatory response,blood-brain barrier and intestinal flora in patients with cognitive impairment after ischemic stroke(IS)were studied.Methods Thirty patients(3 cases shedding)with cognitive impairment after IS were included as the disease group,including patients before treatment as the disease group,patients after Tongdu Xingshen acupuncture treatment as the electroacupuncture group,and 30 healthy controls(3 cases shedding)were included as the healthy group.In the electroacupuncture group,on the basis of the basic treatment,Tongdu Xingshen acupuncture was applied,which was 30 min each time,once a day for 14 days.The MMSE,MoCA and MBI scores of the three groups were observed.The fecal and serum samples from all study subjects were collected,and 16S rDNA sequencing technology and ELISA were used to detect the changes of proinflammatory factors IL-6,IL-1β,TNF-α and S100β in serum in intestinal flora and feces.Results Compared with the healthy group,the MMSE,MoCA,and MBI score of patients in the disease group decreased significantly(P<0.05),serum proinflammatory factors and S100β protein content increased significantly(P<0.05),and the Shannon index(P<0.01)and Simpson index(P<0.001)increased significantly.Compared with the disease group,the MMSE,MoCA,and MBI score of the EA group increased significantly(P<0.05),the serum levels of proinflammatory factors and S100β decreased significantly(P<0.05),Shannon index and Simpson index decreased(P>0.05).The dominant bacterial flora in the healthy group mainly included Bacteroides,Bifidobacterium,Bacteroides,Faecalibacterium,Bifidobacteriaceae,Ruminococcaceae,and Bacteroides and other beneficial bacteria(P<0.05).The dominant flora in the disease group included Proteobacteria,Enterobacteriaceae,Escherichia,Klebsiella and other opportunistic bacteria(P<0.05),while the dominant flora in the EA group was consistent with the healthy group,the relative abundance of beneficial bacteria increased significantly(P<0.05),and the relative abundance of opportunistic bacteria decreased significantly(P<0.05).Spearman correlation analysis found that beneficial bacteria were positively correlated with clinical efficacy related indicators,but with serum proinflammatory factors and the content of S100β was negatively correlated.Conclusion Tongdu Xingshen acupuncture can regulate the diversity of intestinal flora to increase the abundance of Bacteroides,Bifidobacterium,Faecalibacterium,and other beneficial bacteria,regulate the intestinal microecological balance,Thereby regulating systemic inflammation and blood-brain barrier function,which plays a role in improving cognitive function.

Objective:To investigate the current status of treatment delay and analyze its influencing factors in patients with breast cancer-related lymphedema.Methods:Using convenience sampling, 218 patients with breast cancer-related lymphedema from The First Affiliated Hospital of Zhengzhou University between April 2024 and January 2025 were enrolled. The General Information Questionnaire, Lymphedema Self-Management Support Scale for Breast Cancer Survivors (LSMS-BCs), Brief Illness Perception Questionnaire for Breast Cancer-related Lymphedema (BIPQ-BCRL), Perceived Barriers to Health Care-Seeking Decision-Chinese (PBHSD-C), and Health Literacy Scale for Chronic Patients (HLSCP) were used to conduct a cross-sectional survey. Logistic regression identified predictors of treatment delay, with model fit assessed by the Hosmer-Lemeshow test. Discriminative ability was evaluated using receiver operating characteristic (ROC) curve analysis.Results:The study included 218 female BCRL patients, aged (58.31 ± 10.54) years. Among 218 patients, 76 experienced treatment delay, the incidence of treatment delay was 34.8% (76/218). Independent risk factors included junior high school education or below, no regular arm circumference measurement, low self-management support scores, low illness perception scores, high perceived barriers to healthcare-seeking scores, and low health literacy scores (Wald χ2 values were 7.75-15.15, all P<0.05). The Hosmer-Lemeshow test indicated good model fit ( χ2=6.21, P>0.05). The combined predictive model demonstrated significantly better discrimination than individual factors, the area under the curve of ROC was 0.846 ( P<0.01). Conclusions:The incidence of treatment delay is relatively high among breast cancer-related lymphedema patients. Nursing staff should pay special attention to patients with a junior high school education or below, no regular arm circumference measurement, low LSMS-BCs scores, low BIPQ-BCRL scores, high PBHSD-C scores and low HLSCP scores, implement timely interventions to reduce treatment delay in lymphedema patients.

Objective To explore the prediction performance of the autoregressive summation moving average(ARIMA)model based on empirical mode decomposition(EMD)for the prevalence trend of tuberculosis,to provide method support for the prediction of tuberculosis,and to provide ideas for the prediction of other infectious diseases.Methods The monthly data of pulmonary tuberculosis incidence in Shanxi Province from January 2008 to December 2018 were collected and sorted.The last three months,six months,nine months and one year of the data were used as the test set to evaluate the model prediction effect,and the training set was the remaining data of the corresponding sequence.The EMD-ARIMA model was constructed to predict and compared with the single ARIMA model.Results The predicted errors of EMD-ARIMA model for the next three months,six months,nine months and one year were all smaller than the errors of ARIMA model.Conclusion Compared with single ARIMA model,EMD-ARIMA model can improve the prediction accuracy and predict the incidence of pulmonary tuberculosis,and provide effective theoretical reference for disease control and prevention.

Objective To investigate the effect of early use of ivabradine on cardiac function in patients with acute myocardial infarction(AMI)after percutaneous coronary intervention(PCI).Methods Eighty patients with AMI who were hospitalized in our hospital from Feb.2020 to May 2021 were enrolled,and were randomly assigned to ivabradine group or control group(1∶1).All patients were successfully treated with emergency PCI,and the ivabradine group was treated with ivabradine combined with metoprolol after PCI,while the control group was treated with metoprolol only.Both groups were followed up for 1 year.Echocardiography-derived parameters,heart rate and myocardial markers were analyzed.Results The left ventricular ejection fraction was significantly higher in the ivabradine group than in the control group at 1 week,3 months,and 1 year after PCI(all P＜0.05).The heart rate of the ivabradine group was significantly lower than that of the control group at 1 week after PCI(P＜0.05),while there was no significant difference in heart rates between the 2 groups at 3 months or 1 year after PCI(both P＞0.05).The brain natriuretic peptide of the ivabradine group was significantly lower than that of the control group on day 2 and day 3 after PCI(both P＜0.05).The troponin Ⅰ level of the ivabradine group was significantly lower than that of the control group on day 5 after PCI(P＜0.05).Conclusion Early use of ivabradine in patients with AMI after PCI can achieve effective heart rate control,reduce myocardial injury and improve cardiac function.

Objective This study aimed to explore the feasibility of using a long short-term memory(LSTM)model based on empirical mode decomposition(EMD)and singular spectrum analysis(SSA)to predict the incidence of pulmonary tuberculosis in Shanxi Province.The goal was to provide a reliable prediction method to support the prevention and control of tuberculosis epidemics in the region.Methods Collecting and collating monthly data on the reported incidence of tuberculosis nationwide from January 2007 to December 2018.The LSTM、EMD-LSTM、SSA-LSTM models were established using the reported monthly incidence of tuberculosis reported in Shanxi Province from January 2007 to December 2017 as the training set and using the reported monthly incidence of tuberculosis from January to December 2018 as the test set.Mean squared error(MSE),mean absolute error(MAE),root mean squared error(RMSE),and mean absolute percentage error(MAPE)were used to evaluate the prediction effect of the models to determine the best model.Results The MSE,MAE,RMSE and MAPE of the EMD-LSTM model in predicting the incidence trend of pulmonary tuberculosis in the next year were 0.036,0.140,0.189 and 0.045,respectively.Compared with the LSTM model,the prediction performance increased by 66.36%,38.33%,42.38%and 41.56%,respectively.Compared with the SSA-LSTM model,it improved by 28.00%,9.68%,15.25%and 16.67%,respectively.Conclusion Compared with the single LSTM model,the fitting and prediction performance of EMD-LSTM and SSA-LSTM models are improved effectively.However,the prediction effect of EMD-LSTM model is better than that of SSA-LSTM model.Therefore,the EMD-LSTM model is more suitable for predicting the incidence trend of pulmonary tuberculosis in Shanxi Province,and can provide a theoretical basis for tuberculosis prevention and control policies.

Sonodynamic therapy（SDT）has garnered significant attention in cancer treatment modalities due to its superior tissue penetration capabilities，non-invasive approach，and controllability. SDT operates by utilizing sonosensitizers and ultrasound-responsive devices to induce the production of reactive oxygen species（ROS）under ultrasound stimulation，thereby eliciting immunogenic cell death（ICD）in tumor cells and the release of damage-associated molecular patterns，which in turn trigger an immune response against the tumor.However，the tumor microenvironment often results in a relatively weak immune response post-cancer treatment. To address this issue，extensive research is being conducted on combining SDT with immunotherapy，particularly focusing on immune checkpoint blockade（ICB）therapies. This review synthesizes the mechanisms of SDT，its integration with immunotherapy，especially ICB therapies，and the current state of research，with the objective of providing strategic guidance for the advancement of sonodynamic immunotherapy.