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Analysis And Validation Of GEO Data Of Obesity-related Genes In Postmenopausal Breast Cancer Patients With Estrogen Receptor Positive

Posted on:2019-08-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y H ZhuFull Text:PDF
GTID:2404330548489098Subject:Surgery
Abstract/Summary:
Part Ⅰ Analysis and validation of GEO data of obesity-related genes in postmenopausal breast cancer patients with estrogen receptor positiveBackground and objective:Breast cancer is one of the most common malignancies among women in the world today.Obesity can increase the risk of postmenopausal breast cancer.With a 1 unit increase in BMI,the risk of breast cancer in postmenopausal women will increase by 2%.In addition,obesity has a negative impact on the prognosis of premenopausal and postmenopausal patients,but the most significant effect is estrogen receptor-positive postmenopausal patients,a finding confirmed by a retrospective analysis of the German BRENDA cohort.In this study,the breast cancer gene microarray data downloaded from the GEO public database was used to explore obesity and estrogen receptor-positive postmenopausal breast cancer-related genes.Methods:1 Analysis of gene expression dataAfter data preprocessing on the R-based Bioconductor platform,screening for differentially expressed genes,GO(gene ontology)analysis,cluster analysis,and KEGG Pathway analysis were performed.2 Real-time fluorescent quantitative PCRSYBR Real-time fluorescent quantitative PCR was used to detect mRNA expression levels of COL1A2,MMP14,and SLC26A3 in 96 tissue samples.3 Western blottingSix pairs of obesity group and six non-obesity group breast cancer tissue samples were randomly selected to extract total protein for Western blotting.Results:1.Analysis results of gene expression dataFinally,a total of 566 differentially expressed genes were screened out.Obesity estrogen receptor positive postmenopausal breast cancer had 342 genes up-regulated and 224 genes down-regulated.2.Detection of mRNA expression of target genesThe mRNA expression level of COL1A2 gene was up-regulated in 61.4%of breast cancer tissues(59/96,P=0.046)and the relative mRNA expression level in obese group was significantly higher than that in non-obese group(P=0.013).The mRNA expression level of MMP14 gene was up-regulated in 55.2%of the cancer tissues(53/96,P<0.0002)and the relative mRNA expression level in the obese group was significantly higher than that in the non-obese group(P=0.003).The mRNA expression level of SLC26A3 gene was down-regulated in 78.1%of cancer tissues(75/96,P=0.0085)and the relative mRNA expression level in obese group was significantly lower than that in non-obese group(P=0.008).3.Detection of COL1A2 protein expression by Western blottingRelative to paracancerous tissues,the expression of COL1A2 protein was higher in breast cancer tissues;compared with non-obesity group breast cancer tissues,the relative expression of COL1A2 protein in obesity group breast cancer was more high.Conclusion:1.The results of microarray data analysis showed that the differentially expressed genes of obese postmenopausal estrogen receptor-positive breast cancer were mainly related to 23 cell functions such as metallo-peptidase activity and collagen metabolism.KEGG Pathway analysis showed that differentially expressed genes were mainly involved in signal pathways.There are:PDGF signaling pathway,activation of platelet activation and so on.2.The COL1A2 gene may be a obesity and estrogen receptor-positive postmenopausal breast cancer-related gene and potential therapeutic target.Part Ⅱ Detection and clinical application of circulating tumor DNA in breast cancerWith the advancement of detection technology,circulating tumor DNA has a very broad application prospect in the early diagnosis of tumors,prognosis assessment,efficacy and tumor load monitoring.At the same time,breast cancer chemotherapy,targeted therapy and endocrine therapy will be more individualized and targeted.
Keywords/Search Tags:Obesity, Postmenopausal estrogen receptor positive breast cancer, Differential gene expression profile, MMP14, COL1A2, Breast neoplasms, Neoplastic cells,circulating, Tumor burden, Diagnosis, Prognosi
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