Objective Triple-negative breast cancer(TNBC)poses a significant challenge for treatment efficacy.CD8+T cells,which are pivotal immune cells,can be effectively analyzed for differential gene expression across diverse cell populations owing to rapid advancements in sequencing technology.By leveraging these genes,our objective was to develop a prognostic model that accurately predicts the prognosis of patients with TNBC and their responsiveness to immunotherapy. Methods Sample information and clinical data of TNBC were sourced from The Cancer Genome Atlas and METABRIC databases.In the initial stage,we identified 67 differentially expressed genes associated with immune response in CD8+T cells.Subsequently,we narrowed our focus to three key genes,namely CXCL13,GBP2,and GZMB,which were used to construct a prognostic model.The accuracy of the model was assessed using the validation set data and receiver operating characteristic(ROC)curves.Furthermore,we employed various methods,including Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway,immune infiltration,and correlation analyses with CD274(PD-L1)to explore the model's predictive efficacy in immunotherapeutic responses.Additionally,we investigated the potential underlying biological pathways that contribute to divergent treatment responses. Results We successfully developed a model capable of predicting the prognosis of patients with TNBC.The areas under the curve(AUC)values for the 1-,3-,and 5-year survival predictions were 0.618,0.652,and 0.826,respectively.Employing this risk model,we stratified the samples into high-and low-risk groups.Through KEGG enrichment analysis,we observed that the high-risk group predominantly exhibited enrichment in metabolism-related pathways such as drug and chlorophyll metabolism,whereas the low-risk group demonstrated significant enrichment in cytokine pathways.Furthermore,immune landscape analysis revealed noteworthy variations between(PD-L1)expression and risk scores, Conclusion Our study demonstrates the potential of CXCL13,GBP2,and GZMB as prognostic indicators of clinical outcomes and immunotherapy responses in patients with TNBC.These findings provide valuable insights and novel avenues for developing immunotherapeutic approaches targeting TNBC.

Objective To investigate the role of MBP-1 in proliferation,apoptosis and invasion of human esophageal cancer cells Ec109.Methods The human esophageal cancer cells Ec109 were cultured,and divided into the MBP-1 mimics group,siRNA-MBP-1 group,negative control group and blank control group.The cell proliferation activity of each group was detected by tetrazolium blue (MTT) method;flow cytometry was used to detect cell apoptosis and cell cycle;Transwell assay was used to detected the invasion ability and the expressions of cellular cycle related C-myc,Cyclin D1 and Cyclin E were detected by western blot.Results Compared with the negative control group and blank control group,the expression of MBP-1 in esophageal cancer cells Ec109 of the MBP-1 mimics group was up-regulated (P＜0.05),the proliferation ability of esophageal cancer cells was decreased,increased the proportion of apoptosis,decreased the proportion of G0/G1 phase cells,inhibited the number of invasive cells was decreased and the expressions of C-myc,Cyclin D1 and Cyclin E proteins.After silencing MBP-1,the expression of MBP-1 in esophageal cancer cells Ec109 in the siRNA-MBP-1 group was down-regulated,the proliferation ability of esophageal cancer cells was increased,the proportion of apoptosis was decreased,the proportion of G0/G1 phase cells was increased.the number of invasive cells was increased and the expressions of C-myc,Cyclin D1 and Cyclin E proteins were up-regulated.Conclusion MBP-1 is closely correlated with the cell proliferation,cell apoptosis and invasion ability of human esophageal cancer cell line Ec109,and its mechanism might be related to cell cycle abnormality.

Objective To explore the correlation between exon region polymorphism of PPP1R3A gene and schizophrenia in Uygur Chinese population. Methods PPP1R3A gene exon region DNA amplification was performed using multiple PCR targeted capture next-generation sequencing method in 528 patients with schizophrenia and 576 healthy controls of Uyghur descent, Illumina HiSeq X Ten was used for sequencing, the symptoms of schizophrenia were assessed by positive and negative symptoms scale (PANSS). Results The allelic and genotypic distributions in rs1800000 of PPP1R3A gene between patients with schizophrenia and healthy controls had significant difference (P＜0.05), rs1799999 in genotype frequency between the female case and control groups showed significant difference (P＜0.05). Furthermore, the allelic distributions of rs8192686 between male cases and controls had significant difference (P＜0.05). Conclusion PPP1R3A gene rs1800000 may be associated with the development of schizophrenia in Uygur Chinese population; rs1799999 may be a risk factor for susceptibility of female Uygur Chinese schizophrenia; The C allele at rs8192686 may be associated with male Uygur Chinese schizophrenia.