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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Detalles Bibliográficos
Autor principal: Lal, Jessica Castrillon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Research Highlight
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
Descripción
Sumario: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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