Tags

Type your tag names separated by a space and hit enter

How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis.
Cell Physiol Biochem. 2018; 50(1):332-341.CP

Abstract

BACKGROUND/AIMS

Long non-coding RNAs (lncRNAs) act as competing endogenous RNAs (ceRNAs) to compete for microRNAs (miRNAs) in cancer metastasis. Head and neck squamous cell carcinoma (HNSCC) is one of the most common human cancers and rare biomarkers could predict the clinical prognosis of this disease and its therapeutic effect.

METHODS

Weighted gene co-expression network analysis (WGCNA) was performed to identify differentially expressed mRNAs (DEmRNAs) that might be key genes. GO enrichment and protein-protein interaction (PPI) analyses were performed to identify the principal functions of the DEmRNAs. An lncRNA-miRNA-mRNA network was constructed to understand the regulatory mechanisms in HNSCC. The prognostic signatures of mRNAs, miRNAs, and lncRNAs were determined by Gene Expression Profiling Interactive Analysis (GEPIA) and using Kaplan-Meier survival curves for patients with lung squamous cell carcinoma.

RESULTS

We identified 2,023 DEmRNAs, 1,048 differentially expressed lncRNAs (DElncRNAs), and 82 differentially expressed miRNAs (DEmiRNAs). We found that eight DEmRNAs, 53 DElncRNAs, and 16 DEmiRNAs interacted in the ceRNA network. Three ceRNAs (HCG22, LINC00460 and STC2) were significantly correlated with survival. STC2 transcript levels were significantly higher in tumour tissues than in normal tissues, and the STC2 expression was slightly upregulated at different stages of HNSCC.

CONCLUSION

LINC00460, HCG22 and STC2 exhibited aberrant levels of expression and may participate in the pathogenesis of HNSCC.

Authors+Show Affiliations

Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China. Department of Public Health Sciences, The Pennsylvania State University, Hershey, Pennsylvania, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

30282065

Citation

Zhao, Guomiao, et al. "How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis." Cellular Physiology and Biochemistry : International Journal of Experimental Cellular Physiology, Biochemistry, and Pharmacology, vol. 50, no. 1, 2018, pp. 332-341.
Zhao G, Fu Y, Su Z, et al. How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis. Cell Physiol Biochem. 2018;50(1):332-341.
Zhao, G., Fu, Y., Su, Z., & Wu, R. (2018). How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis. Cellular Physiology and Biochemistry : International Journal of Experimental Cellular Physiology, Biochemistry, and Pharmacology, 50(1), 332-341. https://doi.org/10.1159/000494009
Zhao G, et al. How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis. Cell Physiol Biochem. 2018;50(1):332-341. PubMed PMID: 30282065.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis. AU - Zhao,Guomiao, AU - Fu,Yaru, AU - Su,Zhifang, AU - Wu,Rongling, Y1 - 2018/10/03/ PY - 2018/02/22/received PY - 2018/09/25/accepted PY - 2018/10/4/pubmed PY - 2018/11/6/medline PY - 2018/10/4/entrez KW - Endogenous RNA network KW - Head and neck squamous cell carcinoma KW - lncRNA KW - miRNA SP - 332 EP - 341 JF - Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology JO - Cell Physiol Biochem VL - 50 IS - 1 N2 - BACKGROUND/AIMS: Long non-coding RNAs (lncRNAs) act as competing endogenous RNAs (ceRNAs) to compete for microRNAs (miRNAs) in cancer metastasis. Head and neck squamous cell carcinoma (HNSCC) is one of the most common human cancers and rare biomarkers could predict the clinical prognosis of this disease and its therapeutic effect. METHODS: Weighted gene co-expression network analysis (WGCNA) was performed to identify differentially expressed mRNAs (DEmRNAs) that might be key genes. GO enrichment and protein-protein interaction (PPI) analyses were performed to identify the principal functions of the DEmRNAs. An lncRNA-miRNA-mRNA network was constructed to understand the regulatory mechanisms in HNSCC. The prognostic signatures of mRNAs, miRNAs, and lncRNAs were determined by Gene Expression Profiling Interactive Analysis (GEPIA) and using Kaplan-Meier survival curves for patients with lung squamous cell carcinoma. RESULTS: We identified 2,023 DEmRNAs, 1,048 differentially expressed lncRNAs (DElncRNAs), and 82 differentially expressed miRNAs (DEmiRNAs). We found that eight DEmRNAs, 53 DElncRNAs, and 16 DEmiRNAs interacted in the ceRNA network. Three ceRNAs (HCG22, LINC00460 and STC2) were significantly correlated with survival. STC2 transcript levels were significantly higher in tumour tissues than in normal tissues, and the STC2 expression was slightly upregulated at different stages of HNSCC. CONCLUSION: LINC00460, HCG22 and STC2 exhibited aberrant levels of expression and may participate in the pathogenesis of HNSCC. SN - 1421-9778 UR - https://www.unboundmedicine.com/medline/citation/30282065/How_Long_Non_Coding_RNAs_and_MicroRNAs_Mediate_the_Endogenous_RNA_Network_of_Head_and_Neck_Squamous_Cell_Carcinoma:_a_Comprehensive_Analysis_ L2 - https://www.karger.com?DOI=10.1159/000494009 DB - PRIME DP - Unbound Medicine ER -