Analysis Of Pathogenic Genes In Malignant Pleural Mesotheliom

With the rapid development of biological sequencing technology,more and more cancer data information is being mined,the diversification of gene analysis methods also makes it possible to understand the pathogenic mechanism and key mutation genes behind the disease,and provide a theoretical basis for the subsequent development of chemotherapy and targeted therapy.As an emerging treatment method,gene therapy can precisely deliver targeted drugs to mutated genes and carry out targeted prognostic treatment.Malignant pleural mesothelioma is occult and has a short survival time.There are some reaserchers concluded that mesothelin and ciliary protein-3 could be used as screening biomarkers through meta-analysis,the SUV value can determine the prognostic effect.At present,dual immunotherapy has extended the survival time of patients to 3 years,but still cannot cure the disease;there are also gender differences in the incidence of the disease,with the incidence in men being significantly higher than in women.Carrying out research at the gene level can discover key genes for the occurrence and development of diseases,and provide theoretical support for subsequent diagnosis and treatment.This article selects and downloads the gene sets GSE51024 and GSE163720 from the gene expression database GEO.Extraction of marker genes and signaling pathways of disease occurrence and development,and further research on the difference in the incidence of this disease between men and women,postoperative treatment effect,etc.Determining whether this phenomenon is related to genes related to female signaling.Firstly,weighted co-expression network analysis was performed on the gene set GSE51024,and 14 gene modules with high similarity within groups and large differences among groups were obtained.Then,the gene modules are associated with the two traits of health and disease,and the modules with the highest correlation coefficient with the disease are further screened,155 keys genes for disease biomarkers and prognosis were obtained.Then,through differential expression analysis,18819 differential genes were screened,including 11158 up-regulated genes and 7661 down-regulated genes.GSEA analysis of the screened key genes showed that there are some pathways were enriched,which are key pathways for the occurrence and development of MPM.Afterwards,a weighted gene co-expression network analysis was performed on the gene set GSE163720,98 gene modules with high intra-group similarity and low intra-group similarity were obtained.Associate the gene modules with gender to get the module with the highest correlation coefficient with disease.After further screening,12 key genes for disease biomarkers and prognosis were obtained.Differential expression analysis screened 102 differential genes,including 61 up-regulated genes and 41 down-regulated genes.And through a series of methods such as Bayesian-T test,it was found that the gene similarity between the samples in this data set was high,and there was no need to continue differential gene screening.