Identification of co-expression modules and pathways correlated with osteosarcoma and its metastasis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Jian-sheng Wang, Yun-guo Wang, Yong-sheng Zhong, Xue-dong Li, Shi-xin Du, Peng Xie, Gui-zhou Zheng, Jing-ming Han

ABSTRACT

BACKGROUND: Osteosarcoma is the most common bone tumor that occurs in children. METHODS: To identify co-expression modules and pathways correlated with osteosarcoma and its clinical characteristics, we performed weighted gene co-expression network analysis (WGCNA) on RNA-seq data of osteosarcoma with 52 samples. Then we performed pathway enrichment analysis on genes from significant modules. RESULTS: A total of 5471 genes were included in WGCNA, and 16 modules were identified. Module-trait analysis identified that a module involved in microtubule bundle formation, drug metabolism-cytochrome P450, and IL-17 signaling pathway was negatively correlated with osteosarcoma and positively correlated with metastasis; a module involved in DNA replication was positively correlated with osteosarcoma; a module involved in cell junction was positively correlated with metastasis; and a module involved in heparin binding negatively correlated with osteosarcoma. Moreover, expression levels in four of the top ten differentially expressed genes were validated in another independent dataset. CONCLUSIONS: Our analysis might provide insight for molecular mechanisms of osteosarcoma. More... »

PAGES

46

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12957-019-1587-7

DOI

http://dx.doi.org/10.1186/s12957-019-1587-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112645985

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30849987


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