A Transcriptomic and Reverse-Engineering Strategy Reveals Molecular Signatures of Arachidonic Acid Metabolism in 12 Cancers

dc.authorid0000-0002-6036-1348
dc.authorid0009-0009-2018-2220
dc.contributor.authorOktem, Elif Kubat
dc.contributor.authorAydin, Busra
dc.contributor.authorGulfidan, Gizem
dc.contributor.authorArga, Kazim Yalcin
dc.date.accessioned2025-05-10T19:38:38Z
dc.date.issued2023
dc.departmentİstanbul Medeniyet Üniversitesi
dc.description.abstractCancer and arachidonic acid (AA) have important linkages. For example, AA metabolites regulate several critical biological functions associated with carcinogenesis: angiogenesis, apoptosis, and cancer invasion. However, little is known about the comparative changes in metabolite expression of the arachidonic acid pathway (AAP) in carcinogenesis. In this study, we examined transcriptome data from 12 cancers, such as breast invasive carcinoma, colon adenocarcinoma, lung adenocarcinoma, and prostate adenocarcinoma. We also report here a reverse-engineering strategy wherein we estimated metabolic signatures associated with AAP by (1) making deductive inferences through transcriptome-level data extraction, (2) remodeling AA metabolism, and (3) performing a comparative analysis of cancer types to determine the similarities and differences between different cancer types with respect to AA metabolic alterations. We identified 77 AAP gene signatures differentially expressed in cancers and 37 AAP metabolites associated with them. Importantly, the metabolite 15(S)-HETE was identified in almost all cancers, while arachidonate, 5-HETE, PGF2 alpha, 14,15-EET, 8,9-EET, 5,6-EET, and 20-HETE were discovered as other most regulated metabolites. This study shows that the 12 cancers studied herein, although in different branches of the AAP, have altered expression of AAP gene signatures. Going forward, AA related-cancer research generally, and the molecular signatures and their estimated metabolites reported herein specifically, hold broad promise for precision/personalized medicine in oncology as potential therapeutic and diagnostic targets.
dc.identifier.doi10.1089/omi.2022.0185
dc.identifier.endpage138
dc.identifier.issn1536-2310
dc.identifier.issn1557-8100
dc.identifier.issue3
dc.identifier.pmid36800175
dc.identifier.scopus2-s2.0-85150396300
dc.identifier.scopusqualityQ2
dc.identifier.startpage127
dc.identifier.urihttps://doi.org/10.1089/omi.2022.0185
dc.identifier.urihttps://hdl.handle.net/20.500.14730/9418
dc.identifier.volume27
dc.identifier.wosWOS:000937507900001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMary Ann Liebert, Inc
dc.relation.ispartofOmics-A Journal of Integrative Biology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250302
dc.subjectarachidonic acid pathway
dc.subjectcancer
dc.subjecttranscriptomic
dc.subjectdrug repurposing
dc.subjectbiomarkers
dc.subjectpersonalized medicine
dc.titleA Transcriptomic and Reverse-Engineering Strategy Reveals Molecular Signatures of Arachidonic Acid Metabolism in 12 Cancers
dc.typeArticle

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