To analyze the disease burden, temporal trends, and attributable risk factors of early-onset female breast cancer (EOBC) in China and globally from 1990 to 2021.

Photodynamic immunotherapy is a promising strategy for cancer treatment. However, the dysfunctional tumor vasculature results in tumor hypoxia and the low efficiency of drug delivery, which in turn restricts the anticancer effect of photodynamic immunotherapy. In this study, we designed photosensitive lipid nanoparticles. The synthesized PFBT@Rox Lip nanoparticles could produce type I/II reactive oxygen species (ROS) by electron or energy transfer through PFBT under light irradiation. Moreover, this nanosystem could alleviate tumor hypoxia and promote vascular normalization through Roxadustat. Upon irradiation with white light, the ROS produced by PFBT@Rox Lip nanoparticles in situ dysregulated calcium homeostasis and triggered endoplasmic reticulum stress, which further promoted the release of damage-associated molecular patterns, enhanced antigen presentation, and stimulated an effective adaptive immune response, ultimately priming the tumor microenvironment (TME) together with the hypoxia alleviation and vessel normalization by Roxadustat. Indeed, in vivo results indicated that PFBT@Rox Lip nanoparticles promoted M1 polarization of tumor-associated macrophages, recruited more natural killer cells, and augmented infiltration of T cells, thereby leading to efficient photodynamic immunotherapy and potentiating the anti-primary and metastatic tumor efficacy of PD-1 antibody. Collectively, photodynamic immunotherapy with PFBT@Rox Lip nanoparticles efficiently program TME through the induction of immunogenicity and oxygenation, and effectively suppress tumor growth through immunogenic cell death and enhanced anti-tumor immunity.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Objective:To prospectively observe the changes of tumor-related symptoms in patients with nasopharyngeal carcinoma following the administration of nimotuzumab one week before radiotherapy.Methods:Non-metastatic nasopharyngeal carcinoma patients with positive epidermal growth factor receptor (EGFR) expression and symptoms caused by the primary lesion or metastatic cervical lymph nodes admitted to Cancer Hospital of Chinese Academy of Medical Sciences were prospectively recruited. Investigators recorded tumor-related symptoms in recruited patients one day before the first administration of nimotuzumab (D0) and conducted follow-up visits from day 2 to day 7 after the first administration (D2-D7) to document symptom changes. All recruited patients were asked to assess tumor-related symptoms on D0 and D7 by visual analogue scale (VAS) scores. VAS scores were analyzed by paired t-test. Results:From June 2020 to April 2023, a total of 21 patients met the inclusion criteria. The median age was 49 years (range: 27-69 years), with a male-to-female ratio of 1.3:1. Among the patients, 17 patients (81%) received concurrent nimotuzumab for 8 cycles, 7 cycles for 3 cases (14%), and 6 cycles for 1 case (5%), respectively. All patients completed symptom assessments as required. The overall response rate of symptoms after the first administration of nimotuzumab was 62%, with response rates of 4/6、5/8、4/10、4/10、4/11、3/11 for tinnitus, headache, aural fullness, secondary pain caused by neck mass, nasal bleeding, and nasal obstruction, respectively. The VAS scores for overall symptoms were significantly decreased after the administration of nimotuzumab one week before radiotherapy ( P<0.001), with the most significant decrease in VAS scores for tinnitus, aural fullness, and headache. Conclusion:The administration of nimotuzumab one week before radiotherapy significantly alleviates tumor-related symptoms in patients with nasopharyngeal carcinoma, particularly in alleviating tinnitus, aural fullness, and headache.

Objective To assess transcriptomic differences between carbon tetrachloride(CCl4)-induced and diethyl 1,4-dihydro-2,4,6-trimethyl-3,5-pyridinedicarboxylate(DDC)diet-induced mouse models of liver fibrosis to provide a framework for future research using mouse liver fibrosis models.Methods Mouse models of liver fibrosis were induced by a 10％ CCl4(2 mL/kg)injection or a 0.1％DDC diet.After 4 weeks of induction,serum levels of ALT,AST,and TBil were measured.HE and Sirius red staining were used to observe hepatic inflammation and collagen deposition.Jamall's method was used to evaluate hydroxyproline(Hyp)content in liver tissues.Hepatic tumor necrosis factor-α(TNF-α),interleukin(IL)-6,and IL-1β were measured by ELISA.Total RNA was extracted from murine liver tissues for RNA-sequencing(RNA-seq).Differentially expressed genes of the two models were analyzed by R software and then GO and KEGG enrichment was performed.Then,genes with significant differences were verified.Results Compared with normal mice,serum levels of ALT,AST,and TBil and hepatic expression of TNF-α,IL-6,and IL-1β were significantly increased in mice that received CCl4 and DDC,while the Alb serum level was decreased.Pathological staining showed that the structures of liver tissues were destroyed and a large number of hepatocytes around the central vein were hyalinized and necrotic in CCl4-treated mice.In DDC diet-treated mice,a large amount of porphyrins had been deposited in the liver and a large number of inflammatory cells had infiltrated into the portal area and bile duct.Different degrees of collagen deposition were observed in the liver tissues of the two model mice.Different genes(DEGs)of CCl4-and DDC diet-treated mice were screened using a filter(|logFC|＞2-fold and P＜0.05).As a result,1820 and 2373 DEGs in CCl4-and DDC diet-treated mice were analyzed,including 1302 and 1978 upregulated genes,and 518 and 395 downregulated genes,respectively.GO annotation showed that the two models had important functions in molecular function,biological process,and cell component.KEGG analysis showed that 22 and 29 signaling pathways were activated in CCl4-and DDC diet-induced models,respectively.Among them,16 signaling pathways,such as extracellular matrix receptor interaction,cell cycle,protein digestion and absorption,focal adhesion,and PI3K-Akt,were significantly enriched in the two models(P＜0.05).Cluster analysis showed that Mup11,Mup15,Mup17,and Mup1 were significantly down-regulated in both models,which were identified by RT-qPCR(P＜0.05).Conclusions This study conducted a comparative analysis of the RNA-Seq transcriptomic features of liver fibrosis models induced by exposure to CCl4 and a DDC diet.It examined the gene expression patterns and the pathways influenced by gene expression.The findings serve as a valuable resource for selecting appropriate animal models for future research on the pathogenesis and treatment of liver fibrosis.

African swine fever(ASF),caused by the African swine fever virus(ASFV),is a highly contagious infectious disease of pigs.This disease has been spread rapidly in China since 2018,po-sing a huge threat to China's pig farming industry.To rapid detect the ASFV,a loop-mediated iso-thermal amplification(LAMP)combined with the disposable nucleic acid visualization test strip was established for visual detection of the nucleic acid of ASFV B646L gene.The method was easy to operate without special instruments and equipment,while it effectively avoided the disadvantage of false positives caused by aerosol contamination.The method was able to detect 1.16 copies/μL of the recombinant plasmid in 50 min at 65 ℃.In addition,the method was specific with no cross-re-action with classical swine fever virus,porcine reproductive and respiratory syndrome virus,por-cine parvovirus,transmissible gastroenteritis virus.The results in this study provides a rapid,con-venient,sensitive and reliable method for early diagnosis and screening for ASFV suspected infec-tion cases.

Objective To establish an animal model of dampness-syndrome in mice (single model) and evaluate its characteristics of dampness-syndrome. The above-mentioned mice with dampness syndrome were used to construct mice model of ischemic stroke (double model) and observe the effect of dampness-pathogenic on the outcome of stroke. Methods Healthy C57BL/6J male mice were randomly divided into dampness-syndrome (including sham-surgery group and ischemic stroke group,with 10 mice in each group) and non dampness-syndrome groups (including sham-surgery group and ischemic stroke group,with 10 mice in each group). The dampness-syndrome group was fed with high-fat diet and the non dampness-syndrome group was fed with normal diet for 12 weeks. After the mice model of dampness-syndrome was successfully established,transient middle cerebral artery occlusion/reperfusion (tMCAO/R) surgery was used to replicate an ischemic stroke mice model. Evaluation indicators for dampness-syndrome mice model:the general status including body weight,morphology,posture,activity status,and physical characteristics,the histopathological observation of the aorta (oil red O staining,Masson-trichrome staining) and liver (HE staining,oil red O staining),electron microscopic observation of the tongue tissue (scanning electron microscopy,electron microscopy),blood lipid levels[total cholesterol(TC),triglycerides(TG)]and liver coefficient. Evaluation indicators for ischemic stroke mice model:neurological function score and the cerebral infarction volume ratio. Results Compared with the non dampness-syndrome group,the mice in the dampness-syndrome group showed an increased in body weight,poor hair color,sparse hair,fatigue and laziness,mental atrophy,anorexia and lethargy. It was observed that the aortic lumen was narrowed,the intima was significantly thickened,lipid plaque deposition was increased,and foam cells were visible. A large amount of red lipid droplets appeared in liver cells. There were obvious lipid infiltration and diffuse steatosis. Increased keratosis of the mucosal layer of tongue tissue,the thicker stratum corneum,lipofuscin,and bacteria on the tongue surface were found. Serum TG and TC levels significantly increased(P<0.01),and the liver coefficient significantly decreased (P<0.001). Compared with non dampness-syndrome group (sham-surgery group),neurological function score and the cerebral infarction volume ratio in dampness-syndrome ischemic stroke group obviously increased (P<0.001). Conclusion High-fat feeding for 12 weeks combined with tMCAO/R modeling can successfully establish a mice model with dampness-syndrome ischemic stroke,and the neurological function score and cerebral infarction volume in the dampness-syndrome ischemic stroke group was more severe than that in the non dampness-syndrome ischemic stroke group.

This study established a school-supervisor-postgraduate "three-dimensional interaction" mode of academic norms and ethics education for medical postgraduates based on their training characteristics. The mode was evaluated and improved in practice. The results showed that after the implementation of the mode, graduate students significantly improved their awareness of how to standardize the implementation of experiments [(79.86% vs. 89.47%); P=0.021] and how to write formal experimental records [(84.72% vs. 92.76%); P=0.028]. In addition, there were significant increases in the pass rate of pre defense (85.42% vs. 94.08%; P=0.014) and blind review (84.03% vs. 93.42%; P=0.010). The "three-dimensional interaction" mode truly helps to achieve a win-win-win situation between postgraduate supervisors and the school, and is worth further practice and promotion.

Objective:To evaluate the efficacy and safety of nimotuzumab in the treatment of advanced head and neck tumors by using meta-analysis.Methods:Randomized controlled trials (RCT) of locally advanced head and neck squamous cell carcinoma (LA-HNSCC) treated with nimotuzumab were searched from databases (Cochrane Library, PubMed, Embase, Wanfang Data and CNKI) for meta-analysis. The efficacy evaluation indexes included overall survival, progression-free survival, disease-free survival, objective response rate, and complete response rate. Adverse reactions were analyzed for safety evaluation. The heterogeneity results were evaluated by Chi-square test, the degree of heterogeneity was evaluated by I2, and the literature was statistically analyzed by random effects model. Results:A total of 11 RCT were included, consisting of 1 202 patients (602 in the intervention group and 600 in the control group). Compared with the control group, the overall survival was significantly prolonged, death risk was decreased by 22% ( HR=0.78, 95% CI=0.63-0.95, P=0.014), the progression-free survival was prolonged and the risk of disease progression was declined by 35% ( HR=0.65, 95% CI=0.53-0.81, P<0.01), and the disease-free survival was prolonged and the risk of recurrence was decreased by 29% ( HR=0.71, 95% CI=0.55-0.91, P<0.01), the objective response rate ( RR=1.37, 95% CI=1.20-1.55, P<0.01) and complete response rate ( RR=1.30, 95% CI=1.15-1.46, P<0.01) were significantly improved in the intervention group. In addition, adding nimotuzumab did not increase the incidence of adverse reaction ( RR=0.98, 95% CI=0.93-1.03, P=0.41). Conclusion:Nimotuzumab can significantly prolong long-term survival and improve short-term efficacy with high safety in LA-HNSCC patients.

Objective To develop an intelligent recognition model based on deep learning algorithms of unmanned aerial vehicle (UAV) images, and to preliminarily explore the value of this model for remote identification, monitoring and management of cattle, a source of Schistosoma japonicum infection. Methods Oncomelania hupensis snail-infested marshlands around the Poyang Lake area were selected as the study area. Image datasets of the study area were captured by aerial photography with UAV and subjected to augmentation. Cattle in the sample database were annotated with the annotation software VGG Image Annotator to create the morphological recognition labels for cattle. A model was created for intelligent recognition of livestock based on deep learning-based Mask R-convolutional neural network (CNN) algorithms. The performance of the model for cattle recognition was evaluated with accuracy, precision, recall, F1 score and mean precision. Results A total of 200 original UAV images were obtained, and 410 images were yielded following data augmentation. A total of 2 860 training samples of cattle recognition were labeled. The created deep learning-based Mask R-CNN model converged following 200 iterations, with an accuracy of 88.01%, precision of 92.33%, recall of 94.06%, F1 score of 93.19%, and mean precision of 92.27%, and the model was effective to detect and segment the morphological features of cattle. Conclusion The deep learning-based Mask R-CNN model is highly accurate for recognition of cattle based on UAV images, which is feasible for remote intelligent recognition, monitoring, and management of the source of S. japonicum infection.