Keywords: Tumors, RadiomicsTo explore biological interpretation of prognosis-related radiomic signatures in diffuse midline gliomas, forty-one cases with paired MRI and RNA sequencing were screened in the public database TCGA-TCIA. We extracted radiomics features from preoperative MRI and divided these patients into high- and low-risk groups. Differential and enrichment analysis showed that high-expression genes of the high-risk group were mainly activated and involved in biological processes such as axon extension, neurotransmitter signaling, and cell connection. Moreover, typical driver molecular changes known in DMG were observed. It suggested that biological interpretation of prognosis-related radiomic signatures could be achieved by integrating MRI and RNA data
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