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The landscape of cancer rewired GPCR signaling axes
We explored the dysregulation of GPCR ligand signaling systems in cancer transcriptomics datasets to uncover new therapeutics opportunities in oncology. We derived an interaction network of receptors with ligands and their biosynthetic enzymes, which revealed that multiple GPCRs are differentially r...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312480/ https://www.ncbi.nlm.nih.gov/pubmed/37398064 http://dx.doi.org/10.1101/2023.03.13.532291 |
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author | Arora, Chakit Matic, Marin DiChiaro, Pierluigi Rosa, Natalia De Oliveira Carli, Francesco Clubb, Lauren Fard, Lorenzo Amir Nemati Kargas, Giorgos Diaferia, Giuseppe Vukotic, Ranka Licata, Luana Wu, Guanming Natoli, Gioacchino Gutkind, J. Silvio Raimondi, Francesco |
author_facet | Arora, Chakit Matic, Marin DiChiaro, Pierluigi Rosa, Natalia De Oliveira Carli, Francesco Clubb, Lauren Fard, Lorenzo Amir Nemati Kargas, Giorgos Diaferia, Giuseppe Vukotic, Ranka Licata, Luana Wu, Guanming Natoli, Gioacchino Gutkind, J. Silvio Raimondi, Francesco |
author_sort | Arora, Chakit |
collection | PubMed |
description | We explored the dysregulation of GPCR ligand signaling systems in cancer transcriptomics datasets to uncover new therapeutics opportunities in oncology. We derived an interaction network of receptors with ligands and their biosynthetic enzymes, which revealed that multiple GPCRs are differentially regulated together with their upstream partners across cancer subtypes. We showed that biosynthetic pathway enrichment from enzyme expression recapitulated pathway activity signatures from metabolomics datasets, providing valuable surrogate information for GPCRs responding to organic ligands. We found that several GPCRs signaling components were significantly associated with patient survival in a cancer type-specific fashion. The expression of both receptor-ligand (or enzymes) partners improved patient stratification, suggesting a synergistic role for the activation of GPCR networks in modulating cancer phenotypes. Remarkably, we identified many such axes across several cancer molecular subtypes, including many pairs involving receptor-biosynthetic enzymes for neurotransmitters. We found that GPCRs from these actionable axes, including e.g., muscarinic, adenosine, 5-hydroxytryptamine and chemokine receptors, are the targets of multiple drugs displaying anti-growth effects in large-scale, cancer cell drug screens. We have made the results generated in this study freely available through a webapp (gpcrcanceraxes.bioinfolab.sns.it). |
format | Online Article Text |
id | pubmed-10312480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-103124802023-07-01 The landscape of cancer rewired GPCR signaling axes Arora, Chakit Matic, Marin DiChiaro, Pierluigi Rosa, Natalia De Oliveira Carli, Francesco Clubb, Lauren Fard, Lorenzo Amir Nemati Kargas, Giorgos Diaferia, Giuseppe Vukotic, Ranka Licata, Luana Wu, Guanming Natoli, Gioacchino Gutkind, J. Silvio Raimondi, Francesco bioRxiv Article We explored the dysregulation of GPCR ligand signaling systems in cancer transcriptomics datasets to uncover new therapeutics opportunities in oncology. We derived an interaction network of receptors with ligands and their biosynthetic enzymes, which revealed that multiple GPCRs are differentially regulated together with their upstream partners across cancer subtypes. We showed that biosynthetic pathway enrichment from enzyme expression recapitulated pathway activity signatures from metabolomics datasets, providing valuable surrogate information for GPCRs responding to organic ligands. We found that several GPCRs signaling components were significantly associated with patient survival in a cancer type-specific fashion. The expression of both receptor-ligand (or enzymes) partners improved patient stratification, suggesting a synergistic role for the activation of GPCR networks in modulating cancer phenotypes. Remarkably, we identified many such axes across several cancer molecular subtypes, including many pairs involving receptor-biosynthetic enzymes for neurotransmitters. We found that GPCRs from these actionable axes, including e.g., muscarinic, adenosine, 5-hydroxytryptamine and chemokine receptors, are the targets of multiple drugs displaying anti-growth effects in large-scale, cancer cell drug screens. We have made the results generated in this study freely available through a webapp (gpcrcanceraxes.bioinfolab.sns.it). Cold Spring Harbor Laboratory 2023-10-11 /pmc/articles/PMC10312480/ /pubmed/37398064 http://dx.doi.org/10.1101/2023.03.13.532291 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Arora, Chakit Matic, Marin DiChiaro, Pierluigi Rosa, Natalia De Oliveira Carli, Francesco Clubb, Lauren Fard, Lorenzo Amir Nemati Kargas, Giorgos Diaferia, Giuseppe Vukotic, Ranka Licata, Luana Wu, Guanming Natoli, Gioacchino Gutkind, J. Silvio Raimondi, Francesco The landscape of cancer rewired GPCR signaling axes |
title | The landscape of cancer rewired GPCR signaling axes |
title_full | The landscape of cancer rewired GPCR signaling axes |
title_fullStr | The landscape of cancer rewired GPCR signaling axes |
title_full_unstemmed | The landscape of cancer rewired GPCR signaling axes |
title_short | The landscape of cancer rewired GPCR signaling axes |
title_sort | landscape of cancer rewired gpcr signaling axes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312480/ https://www.ncbi.nlm.nih.gov/pubmed/37398064 http://dx.doi.org/10.1101/2023.03.13.532291 |
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