WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma
Angiosarcomas are a type of soft-tissue sarcoma characterized by aggressive malignant tumors originating from endothelial cells of blood vessels or lymphatic vessels. Limited studies have been done to explore the molecular pathophysiology of the disease, with rather limited studies involving transcr...
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| Language: | English |
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Elsevier
2024-01-01
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| Series: | Cancer Treatment and Research Communications |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468294224000741 |
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| author | Trishla Bhatnagar Madiha Haider Mohd Yasir Khan Mohammad Zahid Ashraf |
| author_facet | Trishla Bhatnagar Madiha Haider Mohd Yasir Khan Mohammad Zahid Ashraf |
| author_sort | Trishla Bhatnagar |
| collection | DOAJ |
| description | Angiosarcomas are a type of soft-tissue sarcoma characterized by aggressive malignant tumors originating from endothelial cells of blood vessels or lymphatic vessels. Limited studies have been done to explore the molecular pathophysiology of the disease, with rather limited studies involving transcriptomic analyzes. This study was undertaken to identify the shared molecular signatures and gene modules associated with angiosarcomas of various origin. Transcriptomic data analysis of publicly available data was done followed by WGCNA to identify shared signature gene modules. The Maximal Clique Centrality algorithm was applied to gene modules, and unclustered network analysis was conducted on differentially expressed genes to identify true hub genes. The expression of candidate genes in various cancer types was analyzed using GEPIA. WGCNA analysis identified five significant modules, with the most enriched module being associated with angiogenesis and cell junction regulators. The intersection of true hub genes from MCC analysis of WGCNA modules and high-degree nodes from an unclustered network revealed eight consistently overexpressed genes in all angiosarcoma samples.Among the eight enriched genes, CHRNA5 and CTLA4, are exclusively overexpressed in angiosarcoma and not in other cancers of the same tissue origin, with significant drug-protein interactions suggesting their potential as therapeutic targets. |
| format | Article |
| id | doaj-art-c4f6b42664fa45ed92a96feb9920a3fb |
| institution | Kabale University |
| issn | 2468-2942 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cancer Treatment and Research Communications |
| spelling | doaj-art-c4f6b42664fa45ed92a96feb9920a3fb2025-02-09T05:00:46ZengElsevierCancer Treatment and Research Communications2468-29422024-01-0142100862WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcomaTrishla Bhatnagar0Madiha Haider1Mohd Yasir Khan2Mohammad Zahid Ashraf3Department of Biotechnology, Jamia Millia Islamia, New Delhi, India 110025Department of Biotechnology, Jamia Millia Islamia, New Delhi, India 110025Department of Biotechnology, Jamia Millia Islamia, New Delhi, India 110025Department of Biotechnology, Jamia Millia Islamia, New Delhi, India 110025; Corresponding author.Angiosarcomas are a type of soft-tissue sarcoma characterized by aggressive malignant tumors originating from endothelial cells of blood vessels or lymphatic vessels. Limited studies have been done to explore the molecular pathophysiology of the disease, with rather limited studies involving transcriptomic analyzes. This study was undertaken to identify the shared molecular signatures and gene modules associated with angiosarcomas of various origin. Transcriptomic data analysis of publicly available data was done followed by WGCNA to identify shared signature gene modules. The Maximal Clique Centrality algorithm was applied to gene modules, and unclustered network analysis was conducted on differentially expressed genes to identify true hub genes. The expression of candidate genes in various cancer types was analyzed using GEPIA. WGCNA analysis identified five significant modules, with the most enriched module being associated with angiogenesis and cell junction regulators. The intersection of true hub genes from MCC analysis of WGCNA modules and high-degree nodes from an unclustered network revealed eight consistently overexpressed genes in all angiosarcoma samples.Among the eight enriched genes, CHRNA5 and CTLA4, are exclusively overexpressed in angiosarcoma and not in other cancers of the same tissue origin, with significant drug-protein interactions suggesting their potential as therapeutic targets.http://www.sciencedirect.com/science/article/pii/S2468294224000741AngiosarcomaCancerWGCNATranscriptomicsRNA sequencing |
| spellingShingle | Trishla Bhatnagar Madiha Haider Mohd Yasir Khan Mohammad Zahid Ashraf WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma Cancer Treatment and Research Communications Angiosarcoma Cancer WGCNA Transcriptomics RNA sequencing |
| title | WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma |
| title_full | WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma |
| title_fullStr | WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma |
| title_full_unstemmed | WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma |
| title_short | WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma |
| title_sort | wgcna and integrative network analysis identify chrna5 and ctla4 as potential therapeutic targets against angiosarcoma |
| topic | Angiosarcoma Cancer WGCNA Transcriptomics RNA sequencing |
| url | http://www.sciencedirect.com/science/article/pii/S2468294224000741 |
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