Identification of prognostic biomarkers for papillary thyroid carcinoma by a weighted gene co-expression network analysis.

ABSTRACT:

Aim

Whole transcriptome analysis was conducted to identify differentially expressed RNAs and regulatory networks associated with papillary thyroid carcinoma (PTC).

Methods

A weighted gene co-expression network analysis based on high-throughput sequencing data for six pairs of PTC and adjacent tissue samples was conducted to understand the biological functions and regulatory networks involving long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs).

Results

We detected 131, 338, 31, and 556 differentially expressed circRNAs, lncRNAs, miRNAs, and mRNAs, respectively. We identified modules that were significantly positively and negatively related to cancer and lymph node metastasis. Gray and turquoise modules were positive

SUBMITTER: Meng K 

PROVIDER: S-EPMC9089218 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature