{"title":"miR-15b/ 16-2簇网络在子宫内膜癌中的作用:计算机通路和预后分析","authors":"Anoop Kallingal , Sanu Thankachan , Thejaswini Venkatesh , Shama Prasada Kabbekodu , Padmanaban S. Suresh","doi":"10.1016/j.mgene.2022.101018","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Endometrial cancer (EC) is the second most common cancer in women. A large number of human cancers exhibit dysregulation of microRNA expression including EC. MiR-15b/16–2 is one of the best-known miRNA clusters that is expressed in many types of cancer tissues. Herein, we analyzed the expression of individual miR-15b/16–2 cluster members, its paralogues, and their target network analysis, as well as their prognostic significance in EC. UALCAN and GEPIA2 were used to analyze the expression of the individual members of the cluster. The gene target was predicted through miRTarBase, and the genes were then compared through the TCGA-UCEC dataset. The </span>differential gene expression and network analysis identified 175 DEGs associated with critical cancer-related pathways. The prognostic significance and metastatic prediction were carried out using GEPIA2 and HCMDB tools. In UCEC patient samples, miR- 15b/16–2 cluster expression is negatively correlated with the overall survival of the patients. The uterus-specific miRNA-lncRNA, miRNA-circRNA, and miRNA-sncRNA networks of miR- 15b/16–2 cluster contain 1164 edges and nodes consisting of 5 sncRNA, 124 circRNA, and 1552 genes. The DEGs analysis led to the identification of </span><span><em>SIPA1L2, PDCD1, CCNJ, ENTPD7, PLEKHA5, NPAS3, DPH5, BTF3, NPAS3, </em><em>SENP2</em><em>,</em></span> and <em>CCND3</em> as a significant predictor of overall survival in UCEC patients. The analysis of metastasis found 24 genes significantly associated with brain and lymph node metastasis. The analysis of drug-gene interactions revealed 267 FDA-approved drugs for treating cancers. Our data provided novel insight on the miR-15b/16–2 cluster role in EC and prioritized the findings for experimental verification. Besides, more comprehensive clinical and mechanistic studies are needed to confirm our findings in endometrial cancer.</p></div>","PeriodicalId":38190,"journal":{"name":"Meta Gene","volume":"31 ","pages":"Article 101018"},"PeriodicalIF":0.8000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of miR-15b/16–2 cluster network in endometrial cancer: An in silico pathway and prognostic analysis\",\"authors\":\"Anoop Kallingal , Sanu Thankachan , Thejaswini Venkatesh , Shama Prasada Kabbekodu , Padmanaban S. Suresh\",\"doi\":\"10.1016/j.mgene.2022.101018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span>Endometrial cancer (EC) is the second most common cancer in women. A large number of human cancers exhibit dysregulation of microRNA expression including EC. MiR-15b/16–2 is one of the best-known miRNA clusters that is expressed in many types of cancer tissues. Herein, we analyzed the expression of individual miR-15b/16–2 cluster members, its paralogues, and their target network analysis, as well as their prognostic significance in EC. UALCAN and GEPIA2 were used to analyze the expression of the individual members of the cluster. The gene target was predicted through miRTarBase, and the genes were then compared through the TCGA-UCEC dataset. The </span>differential gene expression and network analysis identified 175 DEGs associated with critical cancer-related pathways. The prognostic significance and metastatic prediction were carried out using GEPIA2 and HCMDB tools. In UCEC patient samples, miR- 15b/16–2 cluster expression is negatively correlated with the overall survival of the patients. The uterus-specific miRNA-lncRNA, miRNA-circRNA, and miRNA-sncRNA networks of miR- 15b/16–2 cluster contain 1164 edges and nodes consisting of 5 sncRNA, 124 circRNA, and 1552 genes. The DEGs analysis led to the identification of </span><span><em>SIPA1L2, PDCD1, CCNJ, ENTPD7, PLEKHA5, NPAS3, DPH5, BTF3, NPAS3, </em><em>SENP2</em><em>,</em></span> and <em>CCND3</em> as a significant predictor of overall survival in UCEC patients. The analysis of metastasis found 24 genes significantly associated with brain and lymph node metastasis. The analysis of drug-gene interactions revealed 267 FDA-approved drugs for treating cancers. Our data provided novel insight on the miR-15b/16–2 cluster role in EC and prioritized the findings for experimental verification. Besides, more comprehensive clinical and mechanistic studies are needed to confirm our findings in endometrial cancer.</p></div>\",\"PeriodicalId\":38190,\"journal\":{\"name\":\"Meta Gene\",\"volume\":\"31 \",\"pages\":\"Article 101018\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Meta Gene\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214540022000093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meta Gene","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214540022000093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Role of miR-15b/16–2 cluster network in endometrial cancer: An in silico pathway and prognostic analysis
Endometrial cancer (EC) is the second most common cancer in women. A large number of human cancers exhibit dysregulation of microRNA expression including EC. MiR-15b/16–2 is one of the best-known miRNA clusters that is expressed in many types of cancer tissues. Herein, we analyzed the expression of individual miR-15b/16–2 cluster members, its paralogues, and their target network analysis, as well as their prognostic significance in EC. UALCAN and GEPIA2 were used to analyze the expression of the individual members of the cluster. The gene target was predicted through miRTarBase, and the genes were then compared through the TCGA-UCEC dataset. The differential gene expression and network analysis identified 175 DEGs associated with critical cancer-related pathways. The prognostic significance and metastatic prediction were carried out using GEPIA2 and HCMDB tools. In UCEC patient samples, miR- 15b/16–2 cluster expression is negatively correlated with the overall survival of the patients. The uterus-specific miRNA-lncRNA, miRNA-circRNA, and miRNA-sncRNA networks of miR- 15b/16–2 cluster contain 1164 edges and nodes consisting of 5 sncRNA, 124 circRNA, and 1552 genes. The DEGs analysis led to the identification of SIPA1L2, PDCD1, CCNJ, ENTPD7, PLEKHA5, NPAS3, DPH5, BTF3, NPAS3, SENP2, and CCND3 as a significant predictor of overall survival in UCEC patients. The analysis of metastasis found 24 genes significantly associated with brain and lymph node metastasis. The analysis of drug-gene interactions revealed 267 FDA-approved drugs for treating cancers. Our data provided novel insight on the miR-15b/16–2 cluster role in EC and prioritized the findings for experimental verification. Besides, more comprehensive clinical and mechanistic studies are needed to confirm our findings in endometrial cancer.
Meta GeneBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍:
Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.