Evaluation of gene interaction and similarity in 17 different cancer pathways

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dc.contributor.authorBursalioglu, Ertugrul Osman
dc.contributor.authorKalay, Saban
dc.contributor.authorMetin, Sefa
dc.date.accessioned2026-04-25T14:20:19Z
dc.date.available2026-04-25T14:20:19Z
dc.date.issued2025
dc.departmentSinop Üniversitesi
dc.description.abstractThis study investigates similarities and gene interactions in 17 different cancer types using Kyoto University's KEGG cancer pathways. Using Python software and the Google Colab platform, gene similarities and interactions within cancer pathways were calculated through Jaccard similarity indices and interaction analyses. The results reveal important genes and pathways shared between cancer types, providing insights into common molecular mechanisms underlying cancer development and progression. These findings may contribute to the identification of potential therapeutic targets by understanding the biological processes shared between cancers. In comparisons between different cancer types, gene similarities ranged between 43% and 47% and pathway similarities ranged between 25% and 46%. These results reveal that while some cancer types are genetically similar, they show differences in biochemical processes. In the gene interaction study among 17 different cancer pathways, the highest interaction rates were observed in colorectal cancer between entries '43-40' with ('activation'), in pancreatic cancer between entries '113-6' with ('activation'), and in hepatocellular carcinoma between entries '122-224' with ('activation'), showing nearly 100% interaction. On the other hand, the lowest interaction rates were found in colorectal cancer between entries '39-135' with ('missing interaction') and in melanoma between entries '95-106' with ('missing interaction'), showing 0% interaction.
dc.identifier.doi10.12991/jrespharm.1664926
dc.identifier.endpage750
dc.identifier.issn2630-6344
dc.identifier.issue2
dc.identifier.scopus2-s2.0-105011730173
dc.identifier.scopusqualityN/A
dc.identifier.startpage742
dc.identifier.trdizinid1339330
dc.identifier.urihttps://doi.org/10.12991/jrespharm.1664926
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1339330
dc.identifier.urihttps://hdl.handle.net/11486/8501
dc.identifier.volume29
dc.identifier.wosWOS:001489105500009
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherMarmara Univ, Fac Pharmacy
dc.relation.ispartofJournal of Research in Pharmacy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20260420
dc.subjectCancer pathways
dc.subjectPython
dc.subjectJaccard similarity
dc.subjectgene interactions
dc.titleEvaluation of gene interaction and similarity in 17 different cancer pathways
dc.typeArticle

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