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Poster Display session (Friday) (ID 65)
- Event: ELCC 2018
- Type: Poster Display session
- Presentations: 1
- Coordinates: 4/13/2018, 12:30 - 13:00, Hall 1
205P - RNA-seq analysis of lung adenocarcinomas reveals different circular RNA expression profiles between non-metastatic and metastatic patients (ID 488)
12:30 - 13:00 | Author(s): B. Qin
The identification of cancer-associated circular RNAs (circRNAs) and investigation of their molecular and biological functions are important to understand the molecular tumorigenesis and progression in cancer devolpment. However, their role in non-small cell lung cancer (NSCLC) is unknown. We aimed to examine the expression profile of circRNAs in NSCLC and to evaluate its biological role and clinical significance in tumor progression.
Six patients with lung adenocarcinomas were included and divided into non-metastatic group (n = 3) and metastatic group (n = 3). The gene expression changes were examined. GO and KEGG Pathway enrichment analysis were performed for the host genes of the differentially expressed circRNAs. CircRNA-miRNA interaction were predicted by popular target prediction software, and network was constructed by Cytoscape software. We also selected 5 genes for further verification by real-time quantitative Polymerase Chain Reaction.
The circRNAs chip detected more than 30,000 circRNAs expressed in peripheral blood samples from the six lung adenocarcinomas patients. And about 200 circRNAs were ≥2-fold differentially expressed between non-metastatic group and metastatic group, of which 174 circRNAs were up-regulated and 3 were down-regulated in the metastatic group compared with non-metastatic group. In addition, we conformed and verified the transcription level of 5 abnormally up-regulated circRNAs by RT-qPCR. Moreover, bioinformatics analysis demonstrated the biological processes of Fc gamma R-mediated phagocytosis, vascular endothelial growth factor signaling pathway and endocrine resistance. We also selected the top 10 significant Gene Ontology terms and selected pathways for a brief summary.
We performed a global analysis of expression profile of circRNAs in metastatic lung adenocarcinoma. Using bioinformatics analysis, our study has reveled and identified the related circRNAs involved in tumorigenesis and metastasis process. Our results may stimulate a deeper understanding of the disease, and lead to the development of potential therapies and the identification of novel biomarkers.
Clinical trial identification:
Legal entity responsible for the study:
Wu Dan, Department of Oncology, The Fifth Hospital of Xiamen, China
Has not received any funding
All authors have declared no conflicts of interest.
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