乳腺癌血清生物标志物的生物信息学分析和实验验证

In recent years, the incidence of breast cancer has increased with years, and its morbidity and mortality rate are the first in female malignant tumors. It is essential to study early diagnostic biomarkers. Methods: In this study, bioinformatics analysis were performed on three data sets obtained in the GEO database to identify differentially expressed genes (DEGs) associated with breast cancer. The obtained gene is simultaneously combined with the RT-qPCR technology to verify the possibility of serving as a potential target. Results: By using protein-protein interaction (PPI) network analysis, the Gene Ontology (GO) and Gene and Genome Kyoto Encyclopedia (KEGG) pathways, BLK and MIRI-4251, MIRI-3135B, and FCRLA and MIRI-1273A were selected for further study. It was found that compared with the control group, BLK and FCRLA in serum of breast cancer patients showed an upward trend, while MIRI-4251, MIRI-3135B and MIRI-1273A showed a downward trend, all of which were statistically significant. Conclusion: The key genes identified in this study may be related to the diagnosis and prognosis of breast cancer, which will provide new reference for the mechanism research of breast cancer.