Literature DB >> 28214218

Implication of downregulation and prospective pathway signaling of microRNA-375 in lung squamous cell carcinoma.

Wen-Jie Chen1, Ting-Qing Gan2, Hui Qin1, Su-Ning Huang3, Li-Hua Yang2, Ye-Ying Fang3, Zu-Yun Li4, Lin-Jiang Pan5, Gang Chen1.   

Abstract

BACKGROUND: Lung cancer is one of the most typical cancers in the world. Altered expression profiles of microRNA-375(miR-375) are linked to many diseases including lung cancer. However, the relationship between miR-375 and lung squamous cell carcinoma (LUSC) is controversial.
METHODS: We first evaluated the 23 LUSCs and the paired normal lung tissues by qRT-PCR. Then we analyzed the LUSC samples with miR-375 expression based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Furthermore, bioinformatics analysis was performed to explore the biological role of miR-375 in LUSC.
RESULTS: The expression of miR-375 was remarkably reduced in LUSC tissues compared with that in paired lung tissues by qRT-PCR (P=0.003). Additionally, the TCGA dataset suggested that miR-375 was significantly downregulated in 478 LUSC tissues compared with 45 normal lung tissues (P<0.0001), as well as the result derived from GEO datasets (the pooled SMD=-1.01; 95%CIs-1.66 to -0.33, P=0.004). Furthermore, a total of 1348 miR-375-related differently expressed genes were identified by the analytical integration, which were involved in critical pathways of LUSC like neuron differentiation, plasma membrane part and sequence-specific DNA binding. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway examination also unveiled the involvement of target genes in morphine addiction and drug metabolism- other enzymes and neuroactive ligand-receptor interaction. Finally, the expression of WNT5A was inversely correlated with miR-375 expression according to TCGA dataset (r=-0.2342, P<0.0001).
CONCLUSIONS: miR-375 exerts a strong tumor-suppressive effect in LUSC and provided novel insight into the biological function in tumorigenesis and progression of LUSC.
Copyright © 2017. Published by Elsevier GmbH.

Entities:  

Keywords:  Carcinoma; Computational biology; MicroRNAs; Non-small-cell lung

Mesh:

Substances:

Year:  2017        PMID: 28214218     DOI: 10.1016/j.prp.2017.01.007

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


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