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Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers, with less than 10% of patients surviving more than five years. A major challenge of PDAC is understanding the complexity of the tumor architecture and identifying targetable cellular phenotypes that can inform clinical de...

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Autor principal: Lal, Jessica Castrillon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576745/
https://www.ncbi.nlm.nih.gov/pubmed/36253462
http://dx.doi.org/10.1038/s42003-022-04032-1
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author Lal, Jessica Castrillon
author_facet Lal, Jessica Castrillon
author_sort Lal, Jessica Castrillon
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description Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers, with less than 10% of patients surviving more than five years. A major challenge of PDAC is understanding the complexity of the tumor architecture and identifying targetable cellular phenotypes that can inform clinical decision-making. Hwang et al. recently harnessed spatially-resolved transcriptomics to characterize gene expression profiles across PDAC tumor slices and identified recurrent expression patterns in malignant and fibroblast cellular neighborhoods that correlated with treatment outcomes.
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spelling pubmed-95767452022-10-19 Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma Lal, Jessica Castrillon Commun Biol Research Highlight Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers, with less than 10% of patients surviving more than five years. A major challenge of PDAC is understanding the complexity of the tumor architecture and identifying targetable cellular phenotypes that can inform clinical decision-making. Hwang et al. recently harnessed spatially-resolved transcriptomics to characterize gene expression profiles across PDAC tumor slices and identified recurrent expression patterns in malignant and fibroblast cellular neighborhoods that correlated with treatment outcomes. Nature Publishing Group UK 2022-10-17 /pmc/articles/PMC9576745/ /pubmed/36253462 http://dx.doi.org/10.1038/s42003-022-04032-1 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Highlight
Lal, Jessica Castrillon
Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma
title Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma
title_full Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma
title_fullStr Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma
title_full_unstemmed Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma
title_short Deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma
title_sort deconvoluting cellular neighborhoods in pancreatic ductal adenocarcinoma
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576745/
https://www.ncbi.nlm.nih.gov/pubmed/36253462
http://dx.doi.org/10.1038/s42003-022-04032-1
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