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Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages

Pituitary neuroendocrine tumors (PitNETs) are common intracranial tumors comprising numerous subtypes whose metabolic profiles have yet to be fully examined. The present in silico study analyzed single-cell expression profiles from 2311 PitNET cells from various lineages and subtypes to elucidate di...

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Autores principales: Batchu, Sai, Diaz, Michael Joseph, Lin, Keldon, Arya, Namrata, Patel, Karan, Lucke-Wold, Brandon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062196/
https://www.ncbi.nlm.nih.gov/pubmed/37007673
http://dx.doi.org/10.21926/obm.neurobiol.2301157
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author Batchu, Sai
Diaz, Michael Joseph
Lin, Keldon
Arya, Namrata
Patel, Karan
Lucke-Wold, Brandon
author_facet Batchu, Sai
Diaz, Michael Joseph
Lin, Keldon
Arya, Namrata
Patel, Karan
Lucke-Wold, Brandon
author_sort Batchu, Sai
collection PubMed
description Pituitary neuroendocrine tumors (PitNETs) are common intracranial tumors comprising numerous subtypes whose metabolic profiles have yet to be fully examined. The present in silico study analyzed single-cell expression profiles from 2311 PitNET cells from various lineages and subtypes to elucidate differences in metabolic activities. Gonadotroph tumors exhibited high activities with histidine metabolism, whose activity is low in lactotroph tumors. Somatotroph tumors enriched for sulfur and tyrosine metabolism, while lactotroph tumors were enriched metabolism of nitrogen, ascorbate, and aldarate. PIT-1 lineage tumors exhibited high sulfur and thiamine metabolism. These results set precedence for further translational studies for subgroup/lineage specific targeted therapies.
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spelling pubmed-100621962023-03-30 Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages Batchu, Sai Diaz, Michael Joseph Lin, Keldon Arya, Namrata Patel, Karan Lucke-Wold, Brandon OBM Neurobiol Article Pituitary neuroendocrine tumors (PitNETs) are common intracranial tumors comprising numerous subtypes whose metabolic profiles have yet to be fully examined. The present in silico study analyzed single-cell expression profiles from 2311 PitNET cells from various lineages and subtypes to elucidate differences in metabolic activities. Gonadotroph tumors exhibited high activities with histidine metabolism, whose activity is low in lactotroph tumors. Somatotroph tumors enriched for sulfur and tyrosine metabolism, while lactotroph tumors were enriched metabolism of nitrogen, ascorbate, and aldarate. PIT-1 lineage tumors exhibited high sulfur and thiamine metabolism. These results set precedence for further translational studies for subgroup/lineage specific targeted therapies. 2023 2023-02-20 /pmc/articles/PMC10062196/ /pubmed/37007673 http://dx.doi.org/10.21926/obm.neurobiol.2301157 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the conditions of the Creative Commons by Attribution License, which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is correctly cited.
spellingShingle Article
Batchu, Sai
Diaz, Michael Joseph
Lin, Keldon
Arya, Namrata
Patel, Karan
Lucke-Wold, Brandon
Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages
title Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages
title_full Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages
title_fullStr Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages
title_full_unstemmed Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages
title_short Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages
title_sort single cell metabolic landscape of pituitary neuroendocrine tumor subgroups and lineages
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062196/
https://www.ncbi.nlm.nih.gov/pubmed/37007673
http://dx.doi.org/10.21926/obm.neurobiol.2301157
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