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.

With the technological innovation and the advances in information technology, acupuncture-moxibustion is on the path of modernization and high-quality development. The research on ancient acupuncture-moxibustion literature has been gradually transformed from traditional sorting and digital research to intelligent knowledge services, so as to realize the deep integration of ancient acupuncture-moxibustion knowledge with the needs of modern clinical practice and scientific research. Guided by the characteristics of acupuncture-moxibustion knowledge and based on the knowledge meta-theory, the in-depth analytical indexing and knowledge organization are conducted on more than 400 kinds of ancient acupuncture-moxibustion literature. Taking ancient literature of meridian symptoms/manifestations as an example, thematic literature research and database construction are carried out. Integrated with database, cloud platform, knowledge domain mapping and other technologies, the sharing service platform of ancient acupuncture-moxibustion knowledge is constructed. As a result, the research and development achievements can be adopted by the researchers in the field of basic theory, clinical practice and research of acupuncture-moxibustion. Finally, through the way of "digital reconstruction + intelligent application", the path and paradigm of digital research of ancient acupuncture-moxibustion literature are explored to provide the references for the innovative utilization of ancient acupuncture-moxibustion literature.
Moxibustion/history* ; Humans ; Acupuncture Therapy/history* ; History, Ancient ; Knowledge

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Objective:To assess the efficacy of "three-step" strategy for preparing autologous pedicled nasal mucosal flaps in repairing cerebrospinal fluid（CSF） leaks following transsphenoidal pituitary adenoma surgery. Methods:A retrospective study was conducted on the clinical data of 25 patients who developed CSF leaks after transsphenoidal pituitary adenoma surgery at the First Affiliated Hospital of Kunming Medical University between July 2012 and June 2022. Surgical repair was selected step by step using nasal septal mucosal flap with either the posterior septal artery or septal branch of the sphenopalatine artery as the pedicle, or a pedicled middle turbinate mucosal flap. All patients underwent ≥2-year endoscopic follow-up to assess flap viability and CSF leak recurrence. Results:The median postoperative hospital stay was 4 days. Five patients developed intracranial infections postoperatively. The follow-up period ranged from 2 to 12 years. Nasal endoscopic examinations showed good mucosal flap growth, with no recurrence of CSF leakage in any of the patients. Conclusion:High-flow cerebrospinal fluid（CSF） leaks following pituitary tumor surgery pose significant challenges for clinical repair. Based on intraoperative nasal septal mucosal preservation and the condition of sellar base CSF leakage, the "three-step" strategy for preparing autologous pedicled nasal mucosal flaps-utilizing posterior septal artery, ethmoidal artery-based, or pedicled middle turbinate mucosal flaps sequentially-is a safe and effective repair method.
Humans ; Retrospective Studies ; Pituitary Neoplasms/surgery* ; Surgical Flaps ; Nasal Mucosa/surgery* ; Cerebrospinal Fluid Leak/surgery* ; Adenoma/surgery* ; Postoperative Complications/surgery* ; Male ; Female ; Middle Aged ; Adult ; Aged

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.

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.

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.