| Objective:Breast cancer is the most common malignant tumor in women,which is a serious threat to women’s health.At present the incidence rate of patients with early breast cancer increases year by year.Compared with traditional clinical and histological criteria,the current gene prediction model is widely used in patients with early Luminal type A breast cancer,providing a more accurate and scientific prognosis assessment.As the research samples of gene prediction models commonly used in clinical practice are mainly European and American population,they are limited for Asian population and cost a lot,with only 1-5 years of prognostic evaluation value.Therefore,the purpose of this study was to analyze the interferon-path-related genes that have A significant impact on the survival of Luminal type A breast cancer through bioinformatics combined with clinical samples of the Chinese population,and build a gene prediction model to further verify the influence of gene expression and prognosis.To provide a new scientific and cost-effective detection method for prognosis assessment.Methods:Firstly,we downloaded the interferon signal-related gene set from the GSEA database,a total of 95 genes.Subsequently,according to the follow-up data from the TCGA database,five interferon pathway genes(IFNAR1,IRF7,PLEKHA4,PPP3 CA,UBE4B)that have significant impact on the survival of Luminal type A breast cancer were analyzed,and the expression levels of these five genes were compared between breast cancer and normal breast tissue.Furthermore,single gene and multi-gene prediction models were constructed to analyze the survival prediction value of these genes in breast cancer.In order to further verify the correlation between the above 5 interferon pathway related genes and breast cancer survival in actual clinical cases and the predictive value of this model.At the same time,50 patients with Luminal type A invasive ductal carcinoma(paraffin sections)who underwent surgical operations in the Department of breastplate Surgery of our hospital during 2015-2016 were selected as the experimental group and 20 patients with benign breast tumor(paraffin sections)as the control group.Clinical data of each patient were collected.The expression of IFNAR1,IRF7,PLEKHA4,PPP3 CA and UBE4B were stained and assigned by IHC and immune score,and the expression levels of these genes in normal breast cancer tissues were compared.The single gene and multi-gene models were verified by follow-up data.Results:TCGA analysis showed that IFNAR1 was low expressed in Luminal A breast cancer tissues and high expressed in normal breast tissues,with significant differences in expression,which was negatively correlated with the prognosis of Luminal A breast cancer,and significantly affected the prognosis of Luminal A breast cancer.PLEKHA4 is low expressed in Luminal A breast cancer tissues and high expressed in normal breast tissues,and the expression is significantly different,which is positively correlated with the prognosis of Luminal A breast cancer,and has A significant impact on the prognosis of Luminal A breast cancer.UBE4B is low expressed in Luminal A breast cancer tissues and high expressed in normal breast tissues,with significant differences in expression,and is negatively correlated with the prognosis of Luminal A breast cancer,and has A significant impact on the prognosis of Luminal A breast cancer.IRF-7 is highly expressed in Luminal A breast cancer tissues and low expressed in normal breast tissues,which is positively correlated with the prognosis of Luminal A breast cancer,and significantly affects the prognosis of Luminal A breast cancer.The expression of PPP3CA is low in Luminal A breast cancer tissues and high in normal breast tissues,with significant differences in expression,which is negatively correlated with the prognosis of Luminal A breast cancer,and has A significant impact on the prognosis of Luminal A breast cancer.A prediction model based on five genes was found to be of significant value for the prognosis of Luminal A breast cancer.Immunohistochemical results showed that IFNAR1 was mainly expressed in the cytoplasm of breast cancer,while IFNAR1 was low expressed in breast cancer tissues and high expressed in normal breast tissues,with significant differences in expression.PLEKHA4 expression in tumors is mainly located in the cytoplasm,while PLEKHA4 expression is low in Luminal A breast cancer tissues and high in normal breast tissues,with significant differences in expression.The expression of UBE4 B in tumors is mainly located in the cytoplasm,while the expression of UBE4 B is low in Luminal A breast cancer tissues and high in normal breast tissues,with significant differences in expression.The expression of IRF7 in tumors is mainly located in the cytoplasm,but can also be located in the nucleus.IRF7 is highly expressed in Luminal A breast cancer tissues and low expressed in normal breast tissues,with significant differences in expression.The expression of PPP3CA in tumors is mainly located in the cytoplasm.The expression of PPP3CA is low in Luminal A breast cancer tissues and high in normal breast tissues,with significant differences in expression.Conclusion:1.Combined with TCGA database analysis and clinical sample verification,the expression of interferon-pathway related genes in Luminal A breast cancer is significantly different from that in benign breast tumors,and has A certain correlation with long-term prognosis and survival of Luminal A breast cancer..2.On the basis of bioinformatics,the in-depth exploration of the relationship between interferon pathway related genes and long-term prognosis and survival of breast cancer is expected to further improve the widely used Oncotype evaluation system based on genes related to proliferation and invasion,so as to further improve the accuracy of long-term survival prediction of breast cancer. |
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