A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma.

ABSTRACT:

Background/purpose

Nasopharyngeal carcinoma (NPC) is a malignant neoplasm of the head and neck. This study aims to use integrated bioinformatics technologies to develop a predictive miRNA-signature correlated with the prognosis of NPC.

Materials and methods

Initially, the differentially expressed miRNAs (DEMs) in NPC were identified, and then DEMs related to the prognosis of NPC were further screened. Subsequently, the relatively important DEMs identified by random forest algorithm were used to construct a predictive signature by multivariate COX regression analysis. Moreover, PCA, Kaplan-Meier analysis, time-dependent ROC analysis, and univariate and multivariate COX regression analysis were performed to evaluate the ability of the signature in risk identification and progn

SUBMITTER: Zhang SQ 

PROVIDER: S-EPMC8740092 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature