Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictive value in neuroblastoma via integrated multi-omics analysis and machine learning

Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictive value in neuroblastoma via integrated multi-omics analysis and machine learning

IntroductionCancer-associated fibroblasts (CAFs) are a diverse group of cells that significantly contribute to reshaping the tumor microenvironment (TME), and no research has systematically explored the molecular landscapes of senescence related CAFs (senes CAF) in NB.MethodsWe utilized pan-cancer s...

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Bibliographic Details
Main Authors: Shan Li, Junyi Luo, Junhong Liu, Dawei He
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Immunology
Subjects:
pan-cancer analysis
neuroblastoma
cancer-associated fibroblasts
senescence
multi-omics analysis
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1506256/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2024.1506256/full

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