Machine learning-based UFMylation landscape predicts prognosis, immune microenvironment and immunotherapy response in low-grade glioma

2026-08-06

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Yifan Zhang

Shangqing Luo

Zhanfeng Jiang

Haoyuan Li

Xulei Hu *

Xianhao Huo *

DOI：10.1016/j.bspc.2026.111171

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Although UFMylation modification is recognized as an important regulator of tumor cell activities, its regulatory role and clinical significance in low-grade glioma (LGG) have not been systematically explored.

Machine learning-based UFMylation landscape predicts prognosis, immune microenvironment and immunotherapy response in low-grade glioma

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