Prostate Cancer Secretome and Membrane Proteome from Pten Conditional Knockout Mice Identify Potential Biomarkers for Disease Progression

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.creatorSantos, Nilton J.-
Autor(es): dc.creatorCamargo, Ana Carolina Lima-
Autor(es): dc.creatorCarvalho, Hernandes F.-
Autor(es): dc.creatorJustulin, Luis Antonio-
Autor(es): dc.creatorFelisbino, Sérgio Luis-
Data de aceite: dc.date.accessioned2025-08-21T18:20:08Z-
Data de disponibilização: dc.date.available2025-08-21T18:20:08Z-
Data de envio: dc.date.issued2023-03-02-
Data de envio: dc.date.issued2023-03-02-
Data de envio: dc.date.issued2022-08-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/ijms23169224-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/242211-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/242211-
Descrição: dc.descriptionProstate cancer (PCa) is the second most common cause of mortality among men. Tumor secretome is a promising strategy for understanding the biology of tumor cells and providing markers for disease progression and patient outcomes. Here, transcriptomic-based secretome analysis was performed on the PCa tumor transcriptome of Genetically Engineered Mouse Model (GEMM) Pb-Cre4/Ptenf/f mice to identify potentially secreted and membrane proteins—PSPs and PMPs. We combined a selection of transcripts from the GSE 94574 dataset and a list of protein-coding genes of the secretome and membrane proteome datasets using the Human Protein Atlas Secretome. Notably, nine deregulated PMPs and PSPs were identified in PCa (DMPK, PLN, KCNQ5, KCNQ4, MYOC, WIF1, BMP7, F3, and MUC1). We verified the gene expression patterns of Differentially Expressed Genes (DEGs) in normal and tumoral human samples using the GEPIA tool. DMPK, KCNQ4, and WIF1 targets were downregulated in PCa samples and in the GSE dataset. A significant association between shorter survival and KCNQ4, PLN, WIF1, and F3 expression was detected in the MSKCC dataset. We further identified six validated miRNAs (mmu-miR-6962-3p, mmu-miR- 6989-3p, mmu-miR-6998-3p, mmu-miR-5627-5p, mmu-miR-15a-3p, and mmu-miR-6922-3p) interactions that target MYOC, KCNQ5, MUC1, and F3. We have characterized the PCa secretome and membrane proteome and have spotted new dysregulated target candidates in PCa.-
Descrição: dc.descriptionLaboratory of Extracellular Matrix Biology Department of Structural and Functional Biology Institute of Biosciences of Botucatu (IBB) São Paulo State University (UNESP), SP-
Descrição: dc.descriptionLaboratory of Extracellular Matrix and Gene Regulation Department of Structural and Functional Biology Institute of Biology (IB) University of Campinas (UNICAMP), SP-
Descrição: dc.descriptionLaboratory of Human Genetics Center for Molecular Biology and Genetic Engineering (CBMEG) University of Campinas (UNICAMP), SP-
Descrição: dc.descriptionLaboratory of Extracellular Matrix Biology Department of Structural and Functional Biology Institute of Biosciences of Botucatu (IBB) São Paulo State University (UNESP), SP-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of Molecular Sciences-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectprognostic biomarkers-
Palavras-chave: dc.subjectprostate cancer-
Palavras-chave: dc.subjecttranscriptomic-based secretome-
Título: dc.titleProstate Cancer Secretome and Membrane Proteome from Pten Conditional Knockout Mice Identify Potential Biomarkers for Disease Progression-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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