Purpose To investigate the diagnostic value of p16/Ki-67 dual stain cytology for detection of cervical precancerous lesions as a novel option for cervical lesions screening.Methods A total of 295 cases diagnosed as atypical squamous cells of undetermined significance (ASC-US) and low-grade squamous intraepithelial lesion (LSIL) from thinprep cytologic test (TCT) were selected.Double staining of p16/Ki-67 cytology,vaginal biopsy,biopsy and pathological examination were applicated,p16/Ki-67 dual stain cytology was compared with that of biopsy and pathological examination.At the same time,The sensitivity and specificity of p16/Ki-67 dual stain cytology between ASC-US and LSIL was analyzed.Results The positive rate of p16/Ki-67 dual stain cytology were 37.42％ and 36.36％ in ASC-US and LSIL,respectively.The positive rate of cervical intraepithelial neoplasia 2/3 (CIN2/3) were 25.77％ and 25.76％.The sensitivity and specificity of the p16/Ki-67 test for detecting CIN2/3 was 83.33％ and 78.51％.The sensitivity and the specificity of the p16/Ki-67 test for detecting CIN2/3 was 85.30％ and 80.61％ in LSIL group.Conclusion p16/Ki-67 double stain cytology detection can improve the sensitivity of CIN2/3 and the specificity of human papilloma virus (HPV).p16/Ki-67 double stain detection can effectively triage the high grade cervical lesions in TCT and improve the accuracy of cervical cancer screening.

Objective To mine and analyse the hub genes associated with the prognosis of basal-like breast cancer(BLBC)by bioinformatic methods.Methods We searched the GEO database to obtain an appropriate microarray dataset related to molecular subtyp-ing of breast cancer,and identified modules associated with BLBC by WGCNA.Then,the top 10％differential expressed genes in the module were screened as candidate genes using PPI and cytohubba.The candidate genes were subjected to survival analysis and expression analysis to obtain hub genes.Finally,we explored the correlation between the expressive level of hub genes and immune cell infiltration,chemokines,and immunomodulators by TIMER and TISIDB database.Furthermore,transcription factors(TFs)-hub gene network was constructed.Results A total of 891 genes in black modules related to BLBC were analyzed,and two hub genes,ESPL1 and CCNB2,were identified from the 80differential expressed genes.Two hub genes are associated with BLBC immune cell infiltration,mainly inclu-ding Th2 cells,CD8+T cells,endothelial cells,and tumor-associated fibroblasts.They were also related to chemokines,immunostimu-lators,immunosuppressive factors,and MHC molecules.The upstream transcriptional regulatory network of hub genes showed that 22 transcription factors simultaneously regulate two hub genes.Conclusion ESPL1 and CCNB2 are prognostic markers of BLBC and related to breast tumor immunity.

Objective: To explore the effects of community building environment and sports with fitness APP usage and their interactions on teachers exercise habits in the Yangtze River Delta Region, so as to provide a scientific basis for the development of a sports and health promotion intervention program for teachers. Methods: A total of 2 530 in service teachers from four provinces and cities in the Yangtze River Delta region, namely, Shanghai, Zhejiang, Jiangsu and Anhui Province, were sampled in May-June 2023 by using convenient cluster random sampling method. Self designed questionnaire was used to collect the basic information of the surveyed teachers, Physical Activity Building Environment Evaluation Questionnaire and the Sports with Fitness APP Usage Questionnaire were used to measure the teachers subjective perception of the community building environment and the usage of sports with fitness APP, respectively. Physical Exercise Habituation Scale was used to assess the level of exercise habits. Logistic regression models were applied to analyze the effects of community building environment and sports with fitness APP usage on physical exercise, and the interaction effects were analyzed by using additive and multiplicative models. Results: Among all the teachers surveyed, 658 of them reported good physical exercise habits (26.0%), and differences in the rate of physical activity habit formation by gender, age, years of teaching, as well as subject of teaching were statistically significant ( χ 2=42.94, 39.73, 35.47, 218.23 , P <0.05). Teachers with physical exercise habits had significantly higher community building environment scores and sports and fitness APP use than teachers without exercise habits ( t =12.17,16.54, P <0.05). Adjusting for the confounders of age, gender, years of teaching experience, and subjects taught, multifactorial unconditional Logistic regression analysis showed that the probability of teachers having good physical exercise habits increased by 22% for every 1-point increase in the community building environment score on average ( OR =1.22, 95% CI =1.11-1.40), and the probability of teachers having good physical exercise habits increased by 16% for every 1-point increase in the sports with fitness APP score on average ( OR = 1.16 , 95% CI =1.03-1.31) ( P <0.05). Interaction analyses showed that there was an additive interaction between the effects of community building environment and sports and fitness APP use on teachers physical exercise habits after adjustment, and the 95% CI for RERI , API and SI were 1.17 -1.65, 0.12-0.46 and 1.78-3.33 ( P <0.05), respectively, and there was no multiplicative interaction ( P >0.05). Conclusions The community building environment and the usage of sports & fitness APP show impacts in the formation of teachers physical exercise habits in the Yangtze River Delta region, and there is an interaction effect. Enhancing the construction of smart sports centers around the community can provide a high quality external environment for the physical exercise habits formation.

Objective: To investigate the causal relationship between junior high school students aggressive behavior, physical exercise and academic performance, so as to provide a reference basis for the development of scientific exercise programs. Methods: A longitudinal followup study was conducted on 502 junior high school students over a 12month period from June 2021 to June 2022 using the Buss-Perry Aggressive Questionnaire (BPAQ), Physical Activity Questionnaire for Adolescents (PAQ-A), and test scores as the measurement tools (T1:June 2021, T2:December 2021, T3:June 2022), and a crosslagged model was constructed to measure the relationship between aggression, physical activity and academic performance. Results: At T1, physical exercise had a positive effect on academic performance at T2 (β=0.22) and a negative effect on aggressive behavior at T2 (β=-0.13), aggressive behavior negatively affected academic performance at T2 (β=-0.23), and academic performance had a negative effect on aggressive behavior at T2 (β=-0.09). Physical exercise at T2 had a negative effect on aggressive behavior at T3 (β=-0.05) and a positive effect on academic performance at T3 (β=0.19). Aggressive behavior at T2 negatively influenced academic performance at T3 (β=-0.08). Academic performance at T2 negatively influenced aggressive behavior at T3 (β=-0.06) (P<0.05). The results of crosslagged modeling of junior high school students aggressive behavior, physical exercise and academic performance showed that the model was well fitted (χ2/df=8.80, CFI=0.96, NFI=0.95, RFI=0.87, IFI=0.96, TLI=0.88, RMSEA=0.12). The results of multigroup structural equation modeling showed that the differences between the models and the baseline model (CFI=0.95, TLI=0.86, RMSEA=0.10, 90%CI=0.08-0.11, P<0.01) were not statistically significant in terms of gender (△CFI<0.05, P>0.05). Conclusions Physical exercise negatively predictes aggressive behavior and positively predictes academic performance, and academic performance and aggressive behavior negatively affect each other. A scientific exercise program should be developed to reduce aggression and effectively improve adolescents academic performance.