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Dataset Information

Integrative Analysis Identified a 6-miRNA Prognostic Signature in Nasopharyngeal Carcinoma.


ABSTRACT:

Background

Nasopharyngeal carcinoma (NPC) is an Epstein-Barr virus-associated epithelial malignancy, which is rare in America but endemic in China. The current clinical gold TNM-based standard for prognosis may not be enough. Although some studies have reported that some miRNAs have a prognostic power in NPC, there is a scarcity of independent validation for these miRNAs.

Methods

In this work, we firstly conducted a literature review of all miRNA profiling datasets with survival information, then integrated miRNA expression data across different profiling platforms and built prognostic models using machine learning methods. The Kaplan-Meier method and log-rank tests were applied to estimate correlations of the miRNA signature with survival, and the area under the time-depend

SUBMITTER: Chen Y 

PROVIDER: S-EPMC8322954 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature