Cargando…
Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways
The molecular heterogeneity of feline mammary carcinomas (FMCs) represents a prognostic and therapeutic challenge. RNA-Seq-based comparative transcriptomic profiling serves to identify recurrent and exclusive differentially expressed genes (DEGs) across sample types and molecular subtypes. Using mas...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553959/ https://www.ncbi.nlm.nih.gov/pubmed/36220861 http://dx.doi.org/10.1038/s41598-022-20874-5 |
_version_ | 1784806589347135488 |
---|---|
author | Granados-Soler, José Luis Taher, Leila Beck, Julia Bornemann-Kolatzki, Kirsten Brenig, Bertram Nerschbach, Verena Ferreira, Fernando Junginger, Johannes Hewicker-Trautwein, Marion Murua Escobar, Hugo Nolte, Ingo |
author_facet | Granados-Soler, José Luis Taher, Leila Beck, Julia Bornemann-Kolatzki, Kirsten Brenig, Bertram Nerschbach, Verena Ferreira, Fernando Junginger, Johannes Hewicker-Trautwein, Marion Murua Escobar, Hugo Nolte, Ingo |
author_sort | Granados-Soler, José Luis |
collection | PubMed |
description | The molecular heterogeneity of feline mammary carcinomas (FMCs) represents a prognostic and therapeutic challenge. RNA-Seq-based comparative transcriptomic profiling serves to identify recurrent and exclusive differentially expressed genes (DEGs) across sample types and molecular subtypes. Using mass-parallel RNA-Seq, we identified DEGs and performed comparative function-based analysis across 15 tumours (four basal-like triple-negative [TN], eight normal-like TN, and three luminal B fHER2 negative [LB fHER2−]), two cell lines (CL, TiHo-0906, and TiHo-1403) isolated from the primary tumours (LB fHER2−) of two cats included in this study, and 13 healthy mammary tissue controls. DEGs in tumours were predominantly upregulated; dysregulation of CLs transcriptome was more extensive, including mostly downregulated genes. Cell-cycle and metabolic-related DEGs were upregulated in both tumours and CLs, including therapeutically-targetable cell cycle regulators (e.g. CCNB1, CCNB2, CDK1, CDK4, GTSE1, MCM4, and MCM5), metabolic-related genes (e.g. FADS2 and SLC16A3), heat-shock proteins (e.g. HSPH1, HSP90B1, and HSPA5), genes controlling centrosome disjunction (e.g. RACGAP1 and NEK2), and collagen molecules (e.g. COL2A1). DEGs specifically upregulated in basal-like TN tumours were involved in antigen processing and presentation, in normal-like TN tumours encoded G protein-coupled receptors (GPCRs), and in LB fHER2− tumours were associated with lysosomes, phagosomes, and endosomes formation. Downregulated DEGs in CLs were associated with structural and signalling cell surface components. Hence, our results suggest that upregulation of genes enhancing proliferation and metabolism is a common feature among FMCs and derived CLs. In contrast, the dissimilarities observed in dysregulation of membrane components highlight CLs’ disconnection with the tumour microenvironment. Furthermore, recurrent and exclusive DEGs associated with dysregulated pathways might be useful for the development of prognostically and therapeutically-relevant targeted panels. |
format | Online Article Text |
id | pubmed-9553959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95539592022-10-13 Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways Granados-Soler, José Luis Taher, Leila Beck, Julia Bornemann-Kolatzki, Kirsten Brenig, Bertram Nerschbach, Verena Ferreira, Fernando Junginger, Johannes Hewicker-Trautwein, Marion Murua Escobar, Hugo Nolte, Ingo Sci Rep Article The molecular heterogeneity of feline mammary carcinomas (FMCs) represents a prognostic and therapeutic challenge. RNA-Seq-based comparative transcriptomic profiling serves to identify recurrent and exclusive differentially expressed genes (DEGs) across sample types and molecular subtypes. Using mass-parallel RNA-Seq, we identified DEGs and performed comparative function-based analysis across 15 tumours (four basal-like triple-negative [TN], eight normal-like TN, and three luminal B fHER2 negative [LB fHER2−]), two cell lines (CL, TiHo-0906, and TiHo-1403) isolated from the primary tumours (LB fHER2−) of two cats included in this study, and 13 healthy mammary tissue controls. DEGs in tumours were predominantly upregulated; dysregulation of CLs transcriptome was more extensive, including mostly downregulated genes. Cell-cycle and metabolic-related DEGs were upregulated in both tumours and CLs, including therapeutically-targetable cell cycle regulators (e.g. CCNB1, CCNB2, CDK1, CDK4, GTSE1, MCM4, and MCM5), metabolic-related genes (e.g. FADS2 and SLC16A3), heat-shock proteins (e.g. HSPH1, HSP90B1, and HSPA5), genes controlling centrosome disjunction (e.g. RACGAP1 and NEK2), and collagen molecules (e.g. COL2A1). DEGs specifically upregulated in basal-like TN tumours were involved in antigen processing and presentation, in normal-like TN tumours encoded G protein-coupled receptors (GPCRs), and in LB fHER2− tumours were associated with lysosomes, phagosomes, and endosomes formation. Downregulated DEGs in CLs were associated with structural and signalling cell surface components. Hence, our results suggest that upregulation of genes enhancing proliferation and metabolism is a common feature among FMCs and derived CLs. In contrast, the dissimilarities observed in dysregulation of membrane components highlight CLs’ disconnection with the tumour microenvironment. Furthermore, recurrent and exclusive DEGs associated with dysregulated pathways might be useful for the development of prognostically and therapeutically-relevant targeted panels. Nature Publishing Group UK 2022-10-11 /pmc/articles/PMC9553959/ /pubmed/36220861 http://dx.doi.org/10.1038/s41598-022-20874-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Granados-Soler, José Luis Taher, Leila Beck, Julia Bornemann-Kolatzki, Kirsten Brenig, Bertram Nerschbach, Verena Ferreira, Fernando Junginger, Johannes Hewicker-Trautwein, Marion Murua Escobar, Hugo Nolte, Ingo Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways |
title | Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways |
title_full | Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways |
title_fullStr | Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways |
title_full_unstemmed | Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways |
title_short | Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways |
title_sort | transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553959/ https://www.ncbi.nlm.nih.gov/pubmed/36220861 http://dx.doi.org/10.1038/s41598-022-20874-5 |
work_keys_str_mv | AT granadossolerjoseluis transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT taherleila transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT beckjulia transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT bornemannkolatzkikirsten transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT brenigbertram transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT nerschbachverena transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT ferreirafernando transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT jungingerjohannes transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT hewickertrautweinmarion transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT muruaescobarhugo transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways AT nolteingo transcriptionprofilingoffelinemammarycarcinomasandderivedcelllinesrevealsbiomarkersanddrugtargetsassociatedwithmetabolicandcellcyclepathways |