Prognostic value of plasma microRNAs for non-small cell lung cancer based on data mining models.
Mengqing YanWenjun KangXiaohua LiuBin YangNa SunYongli YangWei WangPublished in: BMC cancer (2024)
The results showed that the high expression level of miR-20a and miR-197, the low expression level of miR-145 and miR-30a were strongly associated with poorer prognosis in NSCLC patients, and the DT C5.0 model may serve as a novel, accurate, method for predicting prognosis of NSCLC.
Keyphrases
- long non coding rna
- cell proliferation
- poor prognosis
- long noncoding rna
- small cell lung cancer
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- machine learning
- peritoneal dialysis
- high resolution
- big data
- artificial intelligence
- tyrosine kinase
- patient reported
- data analysis
- epidermal growth factor receptor