Exploring the TRIM15 protein interaction network as a drug target using machine learning in pancreatic cancer

dc.contributor.authorBas Topcu, Kubra Sena
dc.contributor.authorTemiz, Kubra
dc.contributor.authorCacan, Ercan
dc.date.accessioned2026-02-22T11:43:41Z
dc.date.created2025
dc.date.issued2025
dc.departmentBartın Üniversitesi
dc.description.abstractPancreatic cancer is among the most lethal cancers with a 5-year survival rate of only 13%. Due to its late-stage diagnosis and high metastatic potential, there is a critical need to better understand its molecular mechanisms to develop effective treatments. Tripartite motif containing 15 (TRIM15), a member of the TRIM protein family, plays a role in tumor progression, immune evasion, and lipid metabolism reprogramming, but its role in apoptosis and immune-related pathways remains unclear. Moreover, immune checkpoint proteins such as PD-L1 and VISTA have been associated with cancer progression and poor survival by contributing significantly to the tumor microenvironment. In this context, in order to better understand the effects of TRIM15 and its neighboring genes on pancreatic cancer, other genes interacting with these genes were obtained from NCBI and BioGRID databases. In the topological analysis of the protein-protein interaction network, 191 proteins in which TRIM15 is involved were identified and the expression profiles of these proteins in pancreatic cancer were analyzed using the Expression Atlas database. These analyses revealed 73 differentially expressed proteins compared to normal individuals, and high accuracy (> 0.90) was achieved with machine learning algorithms. These proteins were identified as drug targets and 50 drug candidates were identified through the L1000CSD2 database. As a result of the TF-IDF calculations performed for innovation, impartozole with a TF-IDF value of 0 was selected as a potential drug candidate for the treatment of pancreatic cancer. Importin-beta 1, which is overexpressed in many cancers, is associated with tumor progression and its inhibitor, importazole, exhibits antitumor activity by inducing G2/M cell cycle arrest and apoptosis. Here, TRIM15 regulation, apoptosis mechanism and immune checkpoint mechanisms were investigated to reveal the role of importazole on the underlying mechanisms of pancreatic cancer progression. The findings show that importazole administration suppressed the expression level of TRIM15 and VISTA in AsPC-1 pancreatic cancer cells and triggered the apoptosis mechanism. These results suggest that importazole may be a potential therapeutic target forTRIM15 and VISTA in pancreatic cancer and may contribute to the development of innovative strategies for cancer treatment.
dc.description.sponsorshipTUBITAK2211-A program
dc.description.sponsorshipKuebra Sena BAS TOPCU is funded by TUBITAK2211-A program.This articleis extracted from my doctorate dissertation entitled Investigation of the Relationship Between Immune Checkpointsand the Target Signaling Pathways in Pancreatic Cancer, supervised by Ercan CACAN.
dc.identifier.doi10.1007/s12672-025-03847-8
dc.identifier.issn2730-6011
dc.identifier.issue1
dc.identifier.orcid0000-0002-3487-9493
dc.identifier.orcid0000-0003-3161-1042
dc.identifier.orcid0000-0002-3660-3204
dc.identifier.pmid41296246
dc.identifier.scopus2-s2.0-105023480796
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1007/s12672-025-03847-8
dc.identifier.urihttps://hdl.handle.net/11772/26712
dc.identifier.volume16
dc.identifier.wosWOS:001629047000001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofDiscover Oncology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-03: Good Health and Well-Being
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260218
dc.subjectImportazole
dc.subjectPancreatic cancer
dc.subjectTRIM15
dc.subjectImmune checkpoint
dc.subjectMachine learning
dc.subjectProtein-protein interaction network
dc.titleExploring the TRIM15 protein interaction network as a drug target using machine learning in pancreatic cancer
dc.typeArticle
dspace.entity.typePublication

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