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Transcriptomic analysis of mouse TRAMP cell lines and tumors provide insights into shared pathways and therapeutic targets

dc.contributor.authorFigueiredo, Marxa L.
dc.contributor.authorUtturkar, Sagar
dc.contributor.authorKumar, Shreya
dc.contributor.authorFonseca-Alves, Carlos Eduardo [UNESP]
dc.date.accessioned2026-05-25T19:45:38Z
dc.date.issued2024-07-14
dc.description.abstractThe present study focused on comparing the gene expression profiles of different mouse models of prostate cancer, focusing on the TRAMP transgenic model and its derived cell lines and extending the comparisons to relevant genetically engineered mouse models and human prostate cancer datasets. Employing RNA sequencing, we examined different levels of prostate cancer aggressiveness from the original TRAMP cells to the TRAMP-C2 (TC2) derived cell line and extending to the aggressive TC2-Ras (TC2R) cells and tumors. TC2R acquire the ability to grow in bone tissue upon implantation, unlike the parental TC2 cells. Analysis identified upregulated genes in cell cycle regulation, immune response, and mitotic processes in TRAMP compared to wild-type tissues. TC2 cells exhibited unique gene profiles enriched in ECM organization and tissue development pathways, while TC2R cells showed increased cytokine signaling and motility genes, with decreased ECM and immune response pathways. <i>In vivo</i> TC2R models demonstrated enhanced ECM organization and receptor tyrosine kinase signaling in tumors, notably enriching immune processes and collagen degradation pathways in intratibial tumors. Comparative analysis among mouse and human datasets showed overlaps, particularly in pathways relating to mitotic cycle regulation, ECM organization, and immune interactions. A gene signature identified in TC2R tumors correlated with aggressive tumor behavior and poor survival in human datasets. Further immune cell landscape analysis of TC2R tumors revealed altered T cell subsets and macrophages, confirmed in single-cell RNA-seq from human samples. TC2R models thus hold significant promise in helping advance preclinical therapeutics, potentially contributing to improved prostate cancer patient outcomes.
dc.description.affiliationDepartment of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, 47907, USA
dc.description.affiliationPurdue Institute for Cancer Research Computational Genomics, Purdue University, West Lafayette, IN, 47907, USA
dc.description.affiliationInstitute of Health Sciences, Paulista University-UNIP, Bauru, 17048-290, Brazil
dc.description.affiliationSchool of Veterinary Medicine and Animal Science, São Paulo State University – UNESP, Botucatu, 18610160, Brazil
dc.description.affiliationUnespSchool of Veterinary Medicine and Animal Science, São Paulo State University – UNESP, Botucatu, 18610160, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1173805160
dc.identifier.dimensionspub.1173805160
dc.identifier.doi10.1016/j.cellin.2024.100184
dc.identifier.issn2772-8927
dc.identifier.orcid0000-0002-8134-0749
dc.identifier.orcid0000-0002-3453-1948
dc.identifier.orcid0000-0002-8480-9493
dc.identifier.orcid0000-0002-6702-6139
dc.identifier.pmcidPMC11339039
dc.identifier.pmid39175940
dc.identifier.urihttps://hdl.handle.net/11449/324653
dc.publisherElsevier
dc.relation.ispartofCell Insight; n. 5; v. 3; p. 100184
dc.rights.accessRightsAcesso abertopt
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dc.titleTranscriptomic analysis of mouse TRAMP cell lines and tumors provide insights into shared pathways and therapeutic targets
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication9ca5a87b-0c83-43fa-b290-6f8a4202bf99
relation.isOrgUnitOfPublication.latestForDiscovery9ca5a87b-0c83-43fa-b290-6f8a4202bf99
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina Veterinária e Zootecnia, Botucatupt

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