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Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis

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dc.contributor.author Rahman, Md Rezanur
dc.contributor.author Islam, Tania
dc.contributor.author Gov, Esra
dc.contributor.author Turanli, Beste
dc.contributor.author Gulfidan, Gizem
dc.contributor.author Shahjaman, Md
dc.contributor.author Banu, Nilufa Akhter
dc.contributor.author Mollah, Md Nurul Haque
dc.contributor.author Arga, Kazim Yalcin
dc.contributor.author Moni, Mohammad Ali
dc.date.accessioned 2019-11-27T12:10:45Z
dc.date.available 2019-11-27T12:10:45Z
dc.date.issued 2019-01
dc.identifier.citation Rahman, M. R., Islam, T., Gov, E., Turanli, B., Gulfidan, G., Shahjaman, M., Banu, N. A., Mollah, M. N. H., Arga, K. Y., & Moni, M. A. (2019). Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis. Medicina-Lithuania, 55(1), UNSP 20. https://doi.org/10.3390/medicina55010020 tr_TR
dc.identifier.issn 1010-660X
dc.identifier.issn 1648-9144
dc.identifier.uri http://openaccess.adanabtu.edu.tr:8080/xmlui/handle/123456789/615
dc.identifier.uri https://doi.org/10.3390/medicina55010020
dc.description WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection.
dc.description.abstract Background and objectives: Colorectal cancer (CRC) is the second most common cause of cancer-related death in the world, but early diagnosis ameliorates the survival of CRC. This report aimed to identify molecular biomarker signatures in CRC. Materials and Methods: We analyzed two microarray datasets (GSE35279 and GSE21815) from the Gene Expression Omnibus (GEO) to identify mutual differentially expressed genes (DEGs). We integrated DEGs with protein-protein interaction and transcriptional/post-transcriptional regulatory networks to identify reporter signaling and regulatory molecules; utilized functional overrepresentation and pathway enrichment analyses to elucidate their roles in biological processes and molecular pathways; performed survival analyses to evaluate their prognostic performance; and applied drug repositioning analyses through Connectivity Map (CMap) and geneXpharma tools to hypothesize possible drug candidates targeting reporter molecules. Results: A total of 727 upregulated and 99 downregulated DEGs were detected. The PI3K/Akt signaling, Wnt signaling, extracellular matrix (ECM) interaction, and cell cycle were identified as significantly enriched pathways. Ten hub proteins (ADNP, CCND1, CD44, CDK4, CEBPB, CENPA, CENPH, CENPN, MYC, and RFC2), 10 transcription factors (ETS1, ESR1, GATA1, GATA2, GATA3, AR, YBX1, FOXP3, E2F4, and PRDM14) and two microRNAs (miRNAs) (miR-193b-3p and miR-615-3p) were detected as reporter molecules. The survival analyses through Kaplan-Meier curves indicated remarkable performance of reporter molecules in the estimation of survival probability in CRC patients. In addition, several drug candidates including anti-neoplastic and immunomodulating agents were repositioned. Conclusions: This study presents biomarker signatures at protein and RNA levels with prognostic capability in CRC. We think that the molecular signatures and candidate drugs presented in this study might be useful in future studies indenting the development of accurate diagnostic and/or prognostic biomarker screens and efficient therapeutic strategies in CRC. tr_TR
dc.language.iso en tr_TR
dc.relation.ispartofseries 2019;Volume: 55 Issue: 1
dc.subject colorectal cancer tr_TR
dc.subject differentially expressed genes
dc.subject biomarkers
dc.subject protein-protein interaction
dc.subject reporter biomolecules
dc.subject candidate drugs
dc.subject systems biology
dc.subject drug repositioning
dc.subject PROGRESSION
dc.subject DISEASES
dc.subject BINDING
dc.subject BETA
dc.subject Medicine
dc.subject General & Internal
dc.title Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis tr_TR
dc.type Article tr_TR

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