
Tumor subtyping based on its immune landscape may guide precision immunotherapy. This study aimed to identify immune subtypes of adult diffuse gliomas with RNA sequencing data and to non‐invasively predict this subtype using MRI's biologically interpretable radiomic signature. Brain tumor microenvironment‐specific signatures were constructed from RNA sequencing to identify the immune types. A radiomic signature was built from MRI to predict the identified immune subtypes. The pathways underlying the radiomic signature were identified to annotate their biological meanings. The reproducibility of the findings was verified externally in multicenter datasets. The immune subtypes, predictive radiomic signature, and radiomics‐correlated biological pathways were validated externally. The data suggest that adult‐type diffuse gliomas harbor three distinctive immune subtypes that MRI radiomic features can predict with clear biological significance. The immune subtypes, radiomic signatures, and radiogenomic links can be replicated externally.
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