Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis
Esophageal cancer (EC) is the eighth most common cancer in the world, and the sixth most common cause of cancer-related mortality. The aim of the present study was to identify cell and molecular mechanisms involved in EC, and to provide the potential targets for diagnosis and treatment. Here, a micr...
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| Format: | Article |
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KeAi Communications Co., Ltd.
2023-09-01
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| Series: | Non-coding RNA Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468054023000343 |
| _version_ | 1827267167925567488 |
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| author | Amir Mokhlesi Zahra Sharifi Ahmad Berimipour Sara Taleahmad Mahmood Talkhabi |
| author_facet | Amir Mokhlesi Zahra Sharifi Ahmad Berimipour Sara Taleahmad Mahmood Talkhabi |
| author_sort | Amir Mokhlesi |
| collection | DOAJ |
| description | Esophageal cancer (EC) is the eighth most common cancer in the world, and the sixth most common cause of cancer-related mortality. The aim of the present study was to identify cell and molecular mechanisms involved in EC, and to provide the potential targets for diagnosis and treatment. Here, a microarray dataset (GSE20347) was screened to find differentially expressed genes (DEGs). Different bioinformatic methods were used to analyze the identified DEGs. The up-regulated DEGs were significantly involved in different biological processes and pathways including extracellular matrix organization and ECM-receptor interaction. FN1, CDK1, AURKA, TOP2A, FOXM1, BIRC5, CDC6, UBE2C, TTK, and TPX2 were identified as the most important genes among the up-regulated DEGs. Our analysis showed that has-miR-29a-3p, has-miR-29b-3p, has-miR-29c-3p, and has-miR-767–5p had the largest number of common targets among the up-regulated DEGs. These findings strengthen the understanding of EC development and progression, as well as representing potential markers for EC diagnosis and treatment. |
| first_indexed | 2024-03-13T02:25:24Z |
| format | Article |
| id | doaj.art-b7973c10e4284940895e005e84cd3962 |
| institution | Directory Open Access Journal |
| issn | 2468-0540 |
| language | English |
| last_indexed | 2025-03-22T04:29:27Z |
| publishDate | 2023-09-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Non-coding RNA Research |
| spelling | doaj.art-b7973c10e4284940895e005e84cd39622024-04-28T04:26:41ZengKeAi Communications Co., Ltd.Non-coding RNA Research2468-05402023-09-0183459470Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysisAmir Mokhlesi0Zahra Sharifi1Ahmad Berimipour2Sara Taleahmad3Mahmood Talkhabi4Department of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, IranDepartment of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, IranDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, IranDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran; Corresponding author. Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.Department of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran; Corresponding author. Department of Animal Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.Esophageal cancer (EC) is the eighth most common cancer in the world, and the sixth most common cause of cancer-related mortality. The aim of the present study was to identify cell and molecular mechanisms involved in EC, and to provide the potential targets for diagnosis and treatment. Here, a microarray dataset (GSE20347) was screened to find differentially expressed genes (DEGs). Different bioinformatic methods were used to analyze the identified DEGs. The up-regulated DEGs were significantly involved in different biological processes and pathways including extracellular matrix organization and ECM-receptor interaction. FN1, CDK1, AURKA, TOP2A, FOXM1, BIRC5, CDC6, UBE2C, TTK, and TPX2 were identified as the most important genes among the up-regulated DEGs. Our analysis showed that has-miR-29a-3p, has-miR-29b-3p, has-miR-29c-3p, and has-miR-767–5p had the largest number of common targets among the up-regulated DEGs. These findings strengthen the understanding of EC development and progression, as well as representing potential markers for EC diagnosis and treatment.http://www.sciencedirect.com/science/article/pii/S2468054023000343Esophageal cancerDiagnosisBioinformatic analysismicroRNAHub genesProtein kinase |
| spellingShingle | Amir Mokhlesi Zahra Sharifi Ahmad Berimipour Sara Taleahmad Mahmood Talkhabi Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis Non-coding RNA Research Esophageal cancer Diagnosis Bioinformatic analysis microRNA Hub genes Protein kinase |
| title | Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis |
| title_full | Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis |
| title_fullStr | Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis |
| title_full_unstemmed | Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis |
| title_short | Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis |
| title_sort | identification of hub genes and micrornas with prognostic values in esophageal cancer by integrated analysis |
| topic | Esophageal cancer Diagnosis Bioinformatic analysis microRNA Hub genes Protein kinase |
| url | http://www.sciencedirect.com/science/article/pii/S2468054023000343 |
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