Construction of an RNA-Binding Protein-Related Prognostic Model for Pancreatic Adenocarcinoma Based on TCGA and GTEx Databases
文献类型：期刊论文
| 作者 | Wen, Xin5; Shao, Zhiying1,3; Chen, Shuyi5; Wang, Wei5 ; Wang, Yan5; Jiang, Jinghua5; Ma, Qinggong5; Zhang, Longzhen2,4,5
|
| 刊名 | FRONTIERS IN GENETICS
 |
| 出版日期 | 2021-01-27 |
| 卷号 | 11 |
| 关键词 | RNA-binding proteins (RBPs) pancreatic adenocarcinoma (PAAD) prognosis TCGA GTEx |
| DOI | 10.3389/fgene.2020.610350 |
| 通讯作者 | Zhang, Longzhen(jsxyfyzlz@126.com) |
| 英文摘要 | Background: Recently, RNA-binding proteins (RBPs) were reported to interact with target mRNA to regulate gene posttranscriptional expression, and RBP-mediated RNA modification can regulate the expression and function of proto-oncogenes and tumor suppressor genes. We systematically analyzed the expression of RBPs in pancreatic adenocarcinoma (PAAD) and constructed an RBP-associated prognostic risk model. Methods: Gene expression data of normal pancreatic samples as well as PAAD samples were downloaded from TCGA-PAAD and GTEx databases. Wilcoxon test and univariate Cox analysis were, respectively, applied to screen differential expression RBPs (DE-RBPs) and prognostic-associated RBPs (pRBPs). Functional enrichment was analyzed by GO, KEGG, and GSEA. Protein-protein interaction (PPI) network was constructed by STRING online database. Modeling RBPs were selected by multivariate Cox analysis. Kaplan-Meier survival and Cox analysis were applied to evaluate the effects of risk score on the overall survival of PAAD patients. ROC curves and validation cohort were applied to verify the accuracy of the model. Nomogram was applied for predicting 1-, 3-, and 5-year overall survival (OS) of PAAD patients. At last, modeling RBPs were further analyzed to explore their differential expression, prognostic value, as well as enrichment pathways in PAAD. Results: RBPs (453) were differentially expressed in normal and tumor samples, besides, 28 of which were prognostic associated. DE-RBPs (453) are functionally associated with ribosome, ribonuclease, spliceosome, etc. Eight RBPs (PABPC1, PRPF6, OAS1, RBM5, LSM12, IPO7, FXR1, and RBM6) were identified to construct a prognostic risk model. Higher risk score not only predicted poor prognosis but also was an independent poor prognostic indicator, which was verified by ROC curves and validation cohort. Eight modeling RBPs were confirmed to be significantly differentially expressed between normal and tumor samples from RNA and protein level. Besides, all of eight RBPs were related with overall survival of PAAD patients. Conclusions: We successfully constructed an RBP-associated prognostic risk model in PAAD, which has a potential clinical application prospect. |
| WOS研究方向 | Genetics & Heredity |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:000616530800001 |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/120270]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Zhang, Longzhen |
| 作者单位 | 1.Chinese Acad Sci, Inst Canc & Basic Med IBMC, Hangzhou, Peoples R China 2.Xuzhou Med Univ, Canc Inst, Xuzhou, Jiangsu, Peoples R China 3.Univ Chinese Acad Sci, Zhejiang Canc Hosp, Canc Hosp, Dept Intervent Ultrasound, Hangzhou, Peoples R China 4.Jiangsu Ctr Collaborat & Innovat Canc Biotherapy, Xuzhou, Jiangsu, Peoples R China 5.Xuzhou Med Univ, Affiliated Hosp, Dept Radiat Oncol, Xuzhou, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wen, Xin,Shao, Zhiying,Chen, Shuyi,et al. Construction of an RNA-Binding Protein-Related Prognostic Model for Pancreatic Adenocarcinoma Based on TCGA and GTEx Databases[J]. FRONTIERS IN GENETICS,2021,11. |
| APA | Wen, Xin.,Shao, Zhiying.,Chen, Shuyi.,Wang, Wei.,Wang, Yan.,...&Zhang, Longzhen.(2021).Construction of an RNA-Binding Protein-Related Prognostic Model for Pancreatic Adenocarcinoma Based on TCGA and GTEx Databases.FRONTIERS IN GENETICS,11. |
| MLA | Wen, Xin,et al."Construction of an RNA-Binding Protein-Related Prognostic Model for Pancreatic Adenocarcinoma Based on TCGA and GTEx Databases".FRONTIERS IN GENETICS 11(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。