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Systematic Approach To Identify Therapeutic Targets and Functional Pathways for the Cervical Cancer

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dc.contributor.author Hasan, Md. Tanvir
dc.contributor.author Islam, Md. Rakibul
dc.contributor.author Islam, Md. Rezwan
dc.contributor.author Altahan, Baraa Riyadh
dc.contributor.author Ahmed, Kawsar
dc.contributor.author Bui, Francis M.
dc.contributor.author Azam, Sami
dc.contributor.author Moni, Mohammad Ali
dc.date.accessioned 2024-08-29T06:41:37Z
dc.date.available 2024-08-29T06:41:37Z
dc.date.issued 2023-02-15
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13298
dc.description.abstract Background: In today's society, cancer has become a big concern. The most common cancers in women are breast cancer (BC), endometrial cancer (EC), ovarian cancer (OC), and cervical cancer (CC). CC is a type of cervix cancer that is the fourth most common cancer in women and the fourth major cause of death. Results: This research uses a network approach to discover genetic connections, functional enrichment, pathways analysis, microRNAs transcription factors (miRNA-TF) co-regulatory network, gene-disease associations, and therapeutic targets for CC. Three datasets from the NCBI's GEO collection were considered for this investigation. Then, using a comparison approach between the datasets, 315 common DEGs were discovered. The PPI network was built using a variety of combinatorial statistical approaches and bioinformatics tools, and the PPI network was then utilized to identify hub genes and critical modules. Conclusion: Furthermore, we discovered that CC has specific similar links with the progression of different tumors using Gene Ontology terminology and pathway analysis. Transcription factors-gene linkages, gene-disease correlations, and the miRNA-TF co-regulatory network were revealed to have functional enrichments. We believe the candidate drugs identified in this study could be effective for advanced CC treatment. en_US
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.subject Therapeutics en_US
dc.subject Cervical cancer en_US
dc.title Systematic Approach To Identify Therapeutic Targets and Functional Pathways for the Cervical Cancer en_US
dc.type Article en_US


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