Identification of circRNA Biomarker for Gastric Cancer through Integrated Analysis
文献类型：期刊论文
| 作者 | Hossain, Md. Tofazzal1,2,4; Li, Song3; Reza, Md. Selim1,4; Feng, Shengzhong1; Zhang, Xiaojing5; Jin, Zhe5; Wei, Yanjie1; Peng, Yin5 |
| 刊名 | FRONTIERS IN MOLECULAR BIOSCIENCES
 |
| 出版日期 | 2022-03-10 |
| 卷号 | 9页码:13 |
| 关键词 | gastric cancer circular RNA computational approach circRNA biomarker circRNA-miRNA-gene interaction |
| DOI | 10.3389/fmolb.2022.857320 |
| 英文摘要 | Gastric cancer (GC) is one of the most common malignant tumors and ranks third in cancer mortality globally. Although, a lot of advancements have been made in diagnosis and treatment of gastric cancer, there is still lack of ideal biomarker for the diagnosis and treatment of gastric cancer. Due to the poor prognosis, the survival rate is not improved much. Circular RNAs (circRNAs) are single-stranded RNAs with a covalently closed loop structure that don't have the 5 '-3 ' polarity and a 3 ' polyA tail. Because of their circular structure, circRNAs are more stable than linear RNAs. Previous studies have found that circRNAs are involved in several biological processes like cell cycle, proliferation, apoptosis, autophagy, migration and invasion in different cancers, and participate in some molecular mechanisms including sponging microRNAs (miRNAs), protein translation and binding to RNA-binding proteins. Several studies have reported that circRNAs play crucial role in the occurrence and development of different types of cancers. Although, some studies have reported several circRNAs in gastric cancer, more studies are needed in searching new biomarkers for gastric cancer diagnosis and treatment. Here, we investigated potential circRNA biomarkers for GC using next-generation sequencing (NGS) data collected from 5 paired GC samples. A total of 45,783 circRNAs were identified in all samples and among them 478 were differentially expressed (DE). The gene ontology (GO) analysis of the host genes of the DE circRNAs showed that some genes were enriched in several important biological processes, molecular functions and cellular components. The Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis revealed that some host genes were enriched in several GC related pathways. The circRNA-miRNA-gene interaction network analysis showed that two circRNAs circCEACAM5 and circCOL1A1 were interacted with gastric cancer related miRNAs, and their host genes were also the important therapeutic and prognostic biomarkers for GC. The experimental results also validated that these two circRNAs were DE in GC compared to adjacent normal tissues. Overall, our findings suggest that these two circRNAs circCEACAM5 and circCOL1A1 might be the potential biomarkers for the diagnosis and treatment of GC. |
| WOS研究方向 | Biochemistry & Molecular Biology |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:000777331800001 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/18892]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Wei, Yanjie; Peng, Yin |
| 作者单位 | 1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Ctr High Performance Comp, Joint Engn Res Ctr Hlth Big Data Intelligent Anal, Shenzhen, Peoples R China 2.Bangabandhu Sheikh Mujibur Rahman Sci & Technol U, Dept Stat, Gopalganj, Bangladesh 3.Shenzhen Sci & Technol Dev Exchange Ctr, Shenzhen Sci & Technol Bldg, Shenzhen, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China 5.Shenzhen Univ, Dept Pathol, Guangdong Prov Key Lab Genome Stabil & Dis Preven, Shenzhen, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hossain, Md. Tofazzal,Li, Song,Reza, Md. Selim,et al. Identification of circRNA Biomarker for Gastric Cancer through Integrated Analysis[J]. FRONTIERS IN MOLECULAR BIOSCIENCES,2022,9:13. |
| APA | Hossain, Md. Tofazzal.,Li, Song.,Reza, Md. Selim.,Feng, Shengzhong.,Zhang, Xiaojing.,...&Peng, Yin.(2022).Identification of circRNA Biomarker for Gastric Cancer through Integrated Analysis.FRONTIERS IN MOLECULAR BIOSCIENCES,9,13. |
| MLA | Hossain, Md. Tofazzal,et al."Identification of circRNA Biomarker for Gastric Cancer through Integrated Analysis".FRONTIERS IN MOLECULAR BIOSCIENCES 9(2022):13. |
入库方式： OAI收割
来源：计算技术研究所
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