Abstract
Abstract
Objectives
To screen and verify differential genes affecting the prognosis of breast cancer.
Methods
Breast cancer gene expression datasets were downloaded from the GEO database, and original data were analyzed in R. The TIMER database was used to analyze the relationship between ANLN and UBE2T and immune cell infiltration.
Results
Ten hub-key genes were identified, and survival analysis showed that UBE2T and ANLN were upregulated in breast cancer and their upregulation was associated with a poor prognosis. ANLN and UBE2T upregulation was associated with the prevalence of Th1 and Th2 cells, shifting the Th1/Th2 balance to Th2 in Basal and Luminal-B breast cancers, which indicates a poor prognosis (P < 0.05).
Conclusion
ANLN and UBE2T are potential biomarkers for predicting the prognosis of breast cancer.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
Natural Science Foundation of Guangdong Province
Guangdong Provincial Key Clinical Discipline-Orthopedics
Sanming Project of Medicine in Shenzhen
Science and Technology Planning Project of Shenzhen Municipality
Shenzhen Key Medical Discipline Construction Fund
discipline construction Capacity Improvement project of Shenzhen Municipal Health Commission
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Genetics,Oncology