Unknown

Dataset Information

Molecular subtyping of nasopharyngeal carcinoma (NPC) and a microRNA-based prognostic model for distant metastasis.


ABSTRACT:

Background

Nasopharyngeal carcinoma (NPC) is a highly invasive and metastatic cancer, with diverse molecular characteristics and clinical outcomes. This study aims to dissect the molecular heterogeneity of NPC, followed by the construction of a microRNA (miRNA)-based prognostic model for prediction of distant metastasis.

Methods

We retrieved two NPC datasets: GSE32960 and GSE70970 as training and validation cohorts, respectively. Consensus clustering was employed for cluster discovery, and support vector machine was used to build a classifier. Finally, Cox regression analysis was applied to constructing a prognostic model for predicting risk of distant metastasis.

Results

Three NPC subtypes (immunogenic, classical and mesenchymal) were identified that are molecularly

SUBMITTER: Zhao L 

PROVIDER: S-EPMC5817810 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature