| Patr ⅠStudy of SERPINA3 mRNA in glioma and its’ immune significance Introduction:Glioma,the most widespread primary intracranial tumor,is a result of neuroepithelial cells.Roughly 50%of all cases are glioblastoma,which can be treated through surgery,radiotherapy,chemotherapy,and other methods.however,the survival time remains bleak.The evaluation of nervous system tumors has been greatly aided by molecular biomarkers,such as TERT promoter mutation,IDH1/2 mutation,and chromosomal loss of 1p/19q.Clinical decisions regarding certain tumor subtypes are made utilizing them.Serpin peptidase inhibitor clade A member 3(SERPINA3),also named alpha-1-antichymotrypsin(ACT),is a 55-66 kDa secreted serine protease that inhibits the activity of several serine proteases.SERPINA3 can change the shape of chromosomes by binding to DNA,thereby increasing the concentration of chromosomes,and can effectively inhibit the growth and expansion of cells,thereby slowing down their proliferation.In addition,it has been reported that SERPINA3 can affect the transcriptional activity of oncogenes by regulating the p53 signaling pathway.However,the expression and biological function of SERPINA3 in glioma are still unclear.SERPINA3 is also involved in various tumor immune activities,and may serve as a potential immunotherapy target.RT-PCR detection confirmed that high levels.of SERPINA3 mRNA were associated with poor prognosis in glioma patients.However,no studies have examined the expression of SERPINA3 transcripts in glioma specimens by in situ methods,nor have they systematically analyzed the biological functions of SERPINA3 mRNA in glioma.This study was thus devised to explore SERPINA3’s expression and clinical importance in human glioma tissues,as well as its part in the formation of glioma.Methods:The CGGA’s data was procured to investigate SERPINA3 transcript’s biological activities.Clinical and gene expression data were also procured from CGGA databases.Analysis of SERPINA3 expression and immune cell infiltration was conducted using DEGs and enrichment analysis.Verification of SERPINA3’s expression and survival prediction was achieved by means of tissue microarrays and RNAscope in situ hybridization in 321 gliomas.An investigation was done to ascertain the connections between expression and clinical-pathological parameters,as well as other markers such as MCM6,IGFBP2,and FKBP10.Results:In situ detection showed the various expression of SERPINA3 mRNA in glioma tissues.Regression both univariate and multivariate revealed SERPINA3 transcript level to be a distinct prognostic element.High levels of SERPINA3 correlated with poor survival in patients with glioma.An examination of enrichment showed SERPINA3 to be mainly enriched in immune-related pathways and signaling,such as MAPK,TNF,P53,PI3K-Akt,and NF-κb.Analysis of enrichment revealed SERPINA3 to be predominantly enriched in terms related to the immune system and signaling pathways,such as MAPK,TNF,P53,PI3K-Akt,and NF-κb.An analysis of immune infiltration further reveals a negative correlation between SERPINA3 expression and Macrophage M1,T cell CD4 native,monocyte,and Mast cell activated levels.And overexpression of SERPINA3 correlated with low CD4+T cell infiltration in glioma tissues was verified through ICH methods.Conclusions:In conclusion,we firstly reported the expression of SERPINA3 mRNA and its important role in the development of glioma.Our investigation reveals that a high level of SERPINA3 mRNA portends a dismal outlook for glioma patients.Various biological processes,such as proliferation,invasion,immune escape,and suppression of glioma cells,are all involved in SERPINA3.SERPINA3 mRNA’s potential to be a useful biomarker for gauging the prognosis of glioma patients and to broaden our knowledge of glioma pathogenesis and discover novel diagnostic markers or therapeutic objectives is suggested by these findings.Patr ⅡDifferential expression gene research based on the subventricular zone and biofunction researchBackground:A meticulously planned procedure,in which neuronal precursors traverse from the stem cell area in the subventricular zone(SVZ),is responsible for the formation of the human cerebrum.Verification of genetic data has shown that astrocyte-like NSCs in the SVZ have driver mutations in human gliomas,potentially leading to their growth.Additionally,contact with the SVZ for GBM has been linked to a poorer prognosis,increased recurrence,and a strong resistance to radiotherapy.The significance of SVZ in the emergence and progression of glioma is undeniable,yet its precise mechanism still needs to be explored more deeply.Therefore,it is necessary to conduct in-depth exploration at the gene level to determine which genes are related to glioma and use them as important indicators to predict patient survival.Clinical studies have found that GBM patients with SVZ communication have poorer prognosis,higher recurrence rate and resistance to radiotherapy.This evidence strongly suggest that SVZ may play an initial role in the development of GBM and immune escape.However,studies on markers between GBM and SVZ are still lacking.Therefore,we build a predictive model and explore its potential functions by looking for genes related to SVZ.Objective:To explore the endogenous differentially expressed genes and their biological significance in SVZ.Methods:In the beginning of this study,seven tissues of SVZ-involved GBMs and paired tumorfree SVZ tissues was acquired from the Neurosurgery department of Cancer Hospital of CAMS,then we performed underwent deep RNA sequencing.The data were acquired and further analysis including enrichment analysis were then processed.Data from the Chinese Glioma Genome Atlas(CGGA)and The Cancer Genome Atlas(TCGA)were obtained.From which the data from CGGA were used to create an signature for GBM prognosis prediction and TCGA were used for validated.Results:Between GBM and healthy SVZ samples,137 DEGs(97 up-regulated and 40 downregulated)were discovered.Our studies states that DEGs enriched in immune-related terms,such as humoral immune response regulation,T cell differentiation,and response to tumor necrosis factor,and the MAPK,cAMP,PPAR,PI3K-Akt,and NF-κb signaling pathways.An eight-gene(BCAT1,HPX,NNMT,TBX5,RAB42,TNFRSF19,C16orf86,and TRPC5)signature was constructed.A stratification of GBM patients into two distinct risk groups showed a significantly diminished overall survival rate for those in the higher risk group compared to those in the lower.A distinct prognostic factor was revealed using univariate and multivariate regression,with the risk score level being a key factor.A negative relationship between GBM patients’ high risk scores and 1p19q codeletion and IDH1 mutation was revealed.Moreover,immune infiltration analysis revealed a negative correlation between the high risk score and activated NK cell and monocyte counts,yet a positive correlation with macrophage and activated dendritic cell counts and higher PDL1 mRNA expression.Conclusion:A novel gene signature,derived from DEGs between GBM and healthy SVZ,was devised in this study to determine the prognosis of GBM patients.A potential therapeutic approach for GBM could be to target these genes. |
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