Identification and validation of potential novel biomarkers to predict distant metastasis in differentiated thyroid cancer.

ABSTRACT:

Background

Distant metastasis (DM) is not common in differentiated thyroid cancer (DTC). However, it is associated with a significantly poor prognosis. Early detection of high-risk DTC patients is difficult, and the molecular mechanism is still unclear. Therefore, the present study aims to establish a novel predictive model based on clinicopathological parameters and DM-related gene signatures to provide guidelines for clinicians in decision making.

Methods

Weighted gene co-expression network analysis (WGCNA) was performed to discover co-expressed gene modules and hub genes associated with DM. Univariate and multivariate analyses were carried out to identify independent clinicopathological risk factors based on The Cancer Genome Atlas (TCGA) database. An integrated nomogram

SUBMITTER: Wang W 

PROVIDER: S-EPMC8339873 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature