Prognostic value of plasma microRNAs for non-small cell lung cancer based on data mining models.

ABSTRACT:

Background

As biomarkers, microRNAs (miRNAs) are closely associated with the occurrence, progression, and prognosis of non-small cell lung cancer (NSCLC). However, the prognostic predictive value of miRNAs in NSCLC has rarely been explored. In this study, the value in prognosis prediction of NSCLC was mined based on data mining models using clinical data and plasma miRNAs biomarkers.

Methods

A total of 69 patients were included in this prospective cohort study. After informed consent, they filled out questionnaires and had their peripheral blood collected. The expressions of plasma miRNAs were examined by quantitative polymerase chain reaction (qPCR). The Whitney U test was used to analyze non-normally distributed data. Kaplan-Meier was used to plot the survival curve, the l

SUBMITTER: Yan M 

PROVIDER: S-EPMC10777550 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature