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An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes

Prostate cancer (PCa) in dogs is a highly malignant disease akin to its human counterpart. In contrast to the situation in humans, multi-gene approaches facilitating risk stratification of canine PCa are barely established. The aims of this study were the characterization of the transcriptional land...

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Autores principales: Thiemeyer, Heike, Taher, Leila, Schille, Jan Torben, Packeiser, Eva-Maria, Harder, Lisa K., Hewicker-Trautwein, Marion, Brenig, Bertram, Schütz, Ekkehard, Beck, Julia, Nolte, Ingo, Murua Escobar, Hugo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584104/
https://www.ncbi.nlm.nih.gov/pubmed/34768937
http://dx.doi.org/10.3390/ijms222111481
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author Thiemeyer, Heike
Taher, Leila
Schille, Jan Torben
Packeiser, Eva-Maria
Harder, Lisa K.
Hewicker-Trautwein, Marion
Brenig, Bertram
Schütz, Ekkehard
Beck, Julia
Nolte, Ingo
Murua Escobar, Hugo
author_facet Thiemeyer, Heike
Taher, Leila
Schille, Jan Torben
Packeiser, Eva-Maria
Harder, Lisa K.
Hewicker-Trautwein, Marion
Brenig, Bertram
Schütz, Ekkehard
Beck, Julia
Nolte, Ingo
Murua Escobar, Hugo
author_sort Thiemeyer, Heike
collection PubMed
description Prostate cancer (PCa) in dogs is a highly malignant disease akin to its human counterpart. In contrast to the situation in humans, multi-gene approaches facilitating risk stratification of canine PCa are barely established. The aims of this study were the characterization of the transcriptional landscape of canine PCa and the identification of diagnostic, prognostic and/or therapeutic biomarkers through a multi-step screening approach. RNA-Sequencing of ten malignant tissues and fine-needle aspirations (FNA), and 14 nonmalignant tissues and FNAs was performed to find differentially expressed genes (DEGs) and deregulated pathways. The 4098 observed DEGs were involved in 49 pathways. These 49 pathways could be grouped into five superpathways summarizing the hallmarks of canine PCa: (i) inflammatory response and cytokines; (ii) regulation of the immune system and cell death; (iii) cell surface and PI3K signaling; (iv) cell cycle; and (v) phagosome and autophagy. Among the highly deregulated, moderately to strongly expressed DEGs that were members of one or more superpathways, 169 DEGs were listed in relevant databases and/or the literature and included members of the PCa pathway, oncogenes, prostate-specific genes, and druggable genes. These genes are novel and promising candidate diagnostic, prognostic and/or therapeutic canine PCa biomarkers.
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spelling pubmed-85841042021-11-12 An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes Thiemeyer, Heike Taher, Leila Schille, Jan Torben Packeiser, Eva-Maria Harder, Lisa K. Hewicker-Trautwein, Marion Brenig, Bertram Schütz, Ekkehard Beck, Julia Nolte, Ingo Murua Escobar, Hugo Int J Mol Sci Article Prostate cancer (PCa) in dogs is a highly malignant disease akin to its human counterpart. In contrast to the situation in humans, multi-gene approaches facilitating risk stratification of canine PCa are barely established. The aims of this study were the characterization of the transcriptional landscape of canine PCa and the identification of diagnostic, prognostic and/or therapeutic biomarkers through a multi-step screening approach. RNA-Sequencing of ten malignant tissues and fine-needle aspirations (FNA), and 14 nonmalignant tissues and FNAs was performed to find differentially expressed genes (DEGs) and deregulated pathways. The 4098 observed DEGs were involved in 49 pathways. These 49 pathways could be grouped into five superpathways summarizing the hallmarks of canine PCa: (i) inflammatory response and cytokines; (ii) regulation of the immune system and cell death; (iii) cell surface and PI3K signaling; (iv) cell cycle; and (v) phagosome and autophagy. Among the highly deregulated, moderately to strongly expressed DEGs that were members of one or more superpathways, 169 DEGs were listed in relevant databases and/or the literature and included members of the PCa pathway, oncogenes, prostate-specific genes, and druggable genes. These genes are novel and promising candidate diagnostic, prognostic and/or therapeutic canine PCa biomarkers. MDPI 2021-10-25 /pmc/articles/PMC8584104/ /pubmed/34768937 http://dx.doi.org/10.3390/ijms222111481 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thiemeyer, Heike
Taher, Leila
Schille, Jan Torben
Packeiser, Eva-Maria
Harder, Lisa K.
Hewicker-Trautwein, Marion
Brenig, Bertram
Schütz, Ekkehard
Beck, Julia
Nolte, Ingo
Murua Escobar, Hugo
An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes
title An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes
title_full An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes
title_fullStr An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes
title_full_unstemmed An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes
title_short An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes
title_sort rna-seq-based framework for characterizing canine prostate cancer and prioritizing clinically relevant biomarker candidate genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584104/
https://www.ncbi.nlm.nih.gov/pubmed/34768937
http://dx.doi.org/10.3390/ijms222111481
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