Screening for tsRNA markers associated with breast cancer prognosis based on data from TCGA
Objective To construct a predictive model related to the prognosis of breast cancer patients by screening the differential ex-pression of transferred RNA-derived small RNA(tsRNA)in breast cancer.Methods The tsRNA profiles in breast cancer and related clinical data were collected from The Cancer Genome Atlas(TCGA).Least Absolute Shrinkage and Selection Operator(LASSO)were used to screen the key tsRNA by which a risk score model and a nomogram prediction model were built.Results A total of 11 tsRNA with nonzero coefficients were identified from 106 differentially expressed tsRNA in breast cancer,by which a risk score model and a nomogram prediction model for predicting the prognosis of breast cancer were constructed.Two models were demonstrated to be capable of great prediction based on the test set and calibration curves.The further prediction for the target genes of the above 11 tsRNA re-vealed that they enriched in 8 KEGG pathways,including multiple pathways involved in tumor progression.The expression correlation analysis found that both NR2C2 and ZNFX1 negatively correlated with the expression levels of tRF-21-YBOZZZ7ND.Conclusion The risk score model and nomogram prediction model were successfully constructed,which are expected to provide new approaches and in-novative the concepts for evaluating the prognosis of breast cancer.
breast cancertransferred RNA-derived small RNAprognosissurvival rate
NETL
NSTL
万方数据
维普
