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Dataset Information

Identification of a microRNA signature associated with survivability in cervical squamous cell carcinoma.


ABSTRACT:

Background

The aim of this study is to find the potential miRNA expression signature capable of predicting survival time for cervical squamous cell carcinoma (CSCC) patients.

Methods

The expression of 332 miRNAs was measured in 131 (Training cohort) and 130 (Validation cohort) patients with CSCC in the Cancer Genome Atlas (TCGA) data portal. The miRNA expression signature was identified by Cox Proportion Hazard regression model to the Training data set, and subsequently validated in an independent Validation set. Kaplan-Meier curves and the receiver operating characteristic analyses of 5 years were used to access the overall survival of miRNA signature. MiRNA signature-gene target analysis was performed, followed by the construction of the regulatory network. Gene Ontology a

SUBMITTER: Ma C 

PROVIDER: S-EPMC5841789 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature