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Dataset Information

Identification of a five-miRNA signature as a novel potential prognostic biomarker in patients with nasopharyngeal carcinoma.


ABSTRACT:

Background

MicroRNAs (miRNAs) are involved in the prognosis of nasopharyngeal carcinoma (NPC). This study used clinical data and expression data of miRNAs to develop a prognostic survival signature for NPC patients to detect high-risk subject.

Results

We identified 160 differentially expressed miRNAs using RNA-Seq data from the GEO database. Cox regression model consisting of hsa-miR-26a, hsa-let-7e, hsa-miR-647, hsa-miR-30e, and hsa-miR-93 was constructed by the least absolute contraction and selection operator (LASSO) in the training set. All the patients were classified into high-risk or low-risk groups by the optimal cutoff value of the 5-miRNA signature risk score, and the two risk groups demonstrated significant different survival. The 5-miRNA signature showed high pre

SUBMITTER: Tu B 

PROVIDER: S-EPMC8742958 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature