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Circular RNA expression profile in peripheral whole blood of lung adenocarcinoma by high: Throughput sequencing

BACKGROUND: Lung adenocarcinoma (LA) is a most common form of non-small cell lung cancer (NSCLC). To date, there are still no effective early diagnosis methods for patients to be cured in time. Noncoding RNA plays an important role in oncogenesis and tumor development. The expression profile of circ...

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Detalles Bibliográficos
Autores principales: Mu, Yinyu, Xie, Fuyi, Huang, YunFei, Yang, Dongdong, Xu, Guodong, Wang, Chunnian, Wu, Qiaoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824818/
https://www.ncbi.nlm.nih.gov/pubmed/31626137
http://dx.doi.org/10.1097/MD.0000000000017601
Descripción
Sumario:BACKGROUND: Lung adenocarcinoma (LA) is a most common form of non-small cell lung cancer (NSCLC). To date, there are still no effective early diagnosis methods for patients to be cured in time. Noncoding RNA plays an important role in oncogenesis and tumor development. The expression profile of circular RNA (circRNA) in peripheral whole blood (PWB) of LA has not been systematically investigated. In this study, we identified the differentially expressed (DE) circRNAs in PWB of LA by high-throughput sequencing. METHODS: Five paired LA and normal participants PWB samples were chosen to investigate the expression profile of circRNAs by high-throughput sequencing. Twenty LA and 10 normal controls PWB samples were subjected to reverse-transcription polymerase chain reaction (RT-PCR) for validation of circRNAs expression profile. Gene Ontology (GO) functional analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and circRNA-miRNA network analysis was also performed to predict the function of circRNAs in PWB. RESULTS: A total of 10566 circRNAs were identified and annotated, most of the circRNAs were exonic (78.14%). Statistical analysis revealed 4390 DE circRNAs, in which were 3009 upregulated circRNAs and1381downregulated circRNAs in LA. RT-PCR results showed that circRNA expression in LA was higher than that in controls. GO functional analysis, KEGG pathway analysis, and circRNA-miRNA network analysis all showed that circRNAs correlated with tumor development and progression to a certain degree. The current study is the first to systematically characterize and annotate circRNA expression in PWB of LA. Some host genes of the DE circRNAs were involved in tumor signaling pathway and had complicated correlations with tumor related miRNAs, indicating that circRNAs might involve in development and progression of LA. CONCLUSIONS: Our study revealed that circRNAs were abnormally expressed in PWB of LA, which might offer potential targets for the early diagnosis of the disease and new genetic insights into LA.