Study On Gene Markers And Genotyping Of Triple Negative Breast Cancer Based On Differential Co-Expression Analysis

Breast cancer has surpassed lung cancer to become the cancer with the largest number of new cases and the highest mortality in the world.According to the latest molecular analysis techniques and receptor types,breast cancer can be divided into luminal A,luminal B,human epidermal growth factor receptor-2 overexpression and triple negative subtype.Compared with other genotyping of breast cancer,triple negative breast cancer has the highest degree of invasion and malignancy,poor prognosis,and limited treatment.In recent years,although differential analysis has made some achievements in the research of cancer gene markers and genotyping,the high heterogeneity of triple negative breast cancer leads to poor diagnosis and clinical treatment effects,and differential co-expression(Diff Co Ex)analysis can further demonstrate the interaction between genes under different conditions.Therefore,the construction of differential co-expression based analysis method to explore the gene markers and genotyping of triple negative breast cancer is of great significance for understanding the occurrence and development mechanism of triple negative breast cancer,as well as clinical accurate diagnosis and treatment.This paper mainly studies the gene markers and genotyping of triple negative breast cancer based on a differential co-expression(Diff Co Ex)analysis method,which includes two parts:The first part is the screening analysis of three negative breast cancer gene markers.In the first part,Diff Co Ex was applied to construct differential coexpression gene modules by correlation and adjacency difference analysis,topological overlap algorithm,dynamic shear tree method and discrete statistical test.The modules were screened by least absolute shrinkage and selection operator algorithm for two rounds,and finally gene markers were obtained.The second part is the study on genotype of triple negative breast cancer.In the second part,Diff Co Ex method was used to select the differentially coexpressed gene sets of metabolism,immunity,proliferation and stroma characteristics.The four gene sets were combined with gene set variation analysis,and the sample data corresponding to single genes were converted into the sample data corresponding to gene sets through expression transformation,sequencing and enrichment score calculation.Robust classification of triple negative breast cancer was obtained using consensus clustering.Five triple negative breast cancer gene markers were obtained: GTSE1,MRPL16,SAMD4 B,ZNF552 and ZNF75 A.The biological significance and statistical reliability of the gene markers were proved by literature retrieval and subject working characteristic curve evaluation.GTSE1 has been previously studied and verified to be related to the diagnosis and development of triple negative breast cancer.ZNF552,ZNF75 A,SAMD4B and MRPL16 have been verified to be closely related to the differentiation and prognosis of breast cancer or other cancers,but they have not been verified to be triple negative breast cancer gene markers.Independent triple negative breast cancer data and differential expression analysis were used to validate the robustness of the typing process and the four genotyping of typing,and the comparison showed that the differential co-expression typing process was more reliable than the differential analysis typing process,so as to provide reference for the diagnosis and treatment of triple negative breast cancer.