Format

Send to

Choose Destination
Gene. 2019 Jul 1;704:142-148. doi: 10.1016/j.gene.2019.04.017. Epub 2019 Apr 6.

Identifying gene modules of thyroid cancer associated with pathological stage by weighted gene co-expression network analysis.

Author information

1
Department of Head and Neck Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, PR China.
2
Department of Gastrointestinal Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, PR China.
3
Department of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, PR China.
4
Department of Head and Neck Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, PR China. Electronic address: xujian_gx@outlook.com.

Abstract

Thyroid cancer is the most common type of endocrine tumor. The TNM classification remains a standard for treatment determination and predicting prognosis in thyroid cancer. The genes modules associated with the progression of papillary thyroid carcinoma (PTC) were not clear. We applied a weighted gene co-expression network analysis (WGCNA) and differential expression analysis to systematically identified co-expressed gene modules and hub genes associated with PTC progression based on The Cancer Genome Atlas (TCGA) PTC transcriptome sequencing data. An independent validation cohort, GSE27155, was used to evaluate the preservation of gene modules. We identified two co-expressed genes modules associated with progression of PTC. Enrichment analysis indicated that the two modules were enriched in angiogenesis and extracellular matrix organization. DCN, COL1A1, COL1A2, COL5A2 and COL3A1 were hub genes in the co-expressed network. We systematically identified co-expressed gene modules and hub genes associated with PTC progression for the first time, which provided insights into the mechanisms underlying PTC progression and some potential targets for the treatment of PTC.

KEYWORDS:

Differentially expressed genes (DEGs); Papillary thyroid carcinoma (PTC); Pathological stage; Weighted gene co-expression network analysis (WGCNA)

PMID:
30965127
DOI:
10.1016/j.gene.2019.04.017

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center