Pan-cancer metabolic landscapes: A multi-omics view

Abstract excerpt

Metabolic reprogramming fuels cancer progression, but whether common metabolic patterns exist across tumor types remains elusive. To address this, we developed parseMetab, an R package that integrates large-scale proteomic, transcriptomic, and spatial transcriptomic datasets from 24 human cancers and 3,226 samples to map pan-cancer metabolic dysregulation. Strikingly, glycan biosynthesis pathways – especially thos...

Topics

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• Autophagy in Disease and Therapy
• Cancer, Hypoxia, and Metabolism
• Carcinogenesis
• Datasets as Topic
• Epigenomics
• Glutamine
• Immune cells in cancer
• Metabolic Networks and Pathways

Identifiers and source

Literature Corpus work

c48cfcfa-19cb-5137-b0dd-0232b4b4824f

DOI

10.1101/2025.08.14.670283