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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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).
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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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