Language
English
Publication Date
9-1-2026
Journal
Neoplasia
DOI
10.1016/j.neo.2026.101327
PMID
42308836
PMCID
PMC13293650
PubMedCentral® Posted Date
6-17-2026
PubMedCentral® Full Text Version
Post-print
Abstract
We aim to highlight problems with the biological interpretation of computationally-derived hypoxia signatures for neuro-oncology research. By reviewing important experimental work in the field, we discuss common misinterpretations of the concepts of normoxia and hypoxia. In fact, the concentration of oxygen in the adult brain is in the range of 1-7%. Unfortunately, this oxygen concentration range is often mistakenly considered hypoxic in neuro-oncology experiments, although it should be considered physioxic. Further, given the lack of a universal hypoxic signature, we stress the importance of deriving cell type-specific hypoxic signatures using carefully-executed experiments.
Keywords
Humans, Gene Expression Profiling, Brain Neoplasms, Hypoxia, Animals, Transcriptome, Cell Hypoxia, Oxygen, Computational Biology, Hypoxia, Brain, Brain tumors, Bioinformatics
Published Open-Access
yes
Recommended Citation
Simmons, Rebecca K; Raut, Pratima; Younes, Subhi Talal; et al., "Inaccurate Interpretation of Hypoxia Signatures From Transcriptomic Analyses in Neuro-Oncology" (2026). Faculty, Staff and Students Publications. 8045.
https://digitalcommons.library.tmc.edu/baylor_docs/8045