Multi‐Omics Evidence Based on Spatial Transcriptomics Data Reveals the Therapeutic Value of Copper Death Genes in Glioblastoma
Zhaoliang Xue, Zhengfei Song, Lianjie Mo, Shuxu Yang
TL;DR
This study uses multi-omics data to show that copper death genes can predict outcomes and guide treatment in glioblastoma patients.
Contribution
A novel CRM signature is developed to improve prognosis and immunotherapy evaluation in low-grade gliomas.
Findings
Seven CRMs were identified as significantly associated with LGG prognosis.
The CRM signature outperformed traditional clinicopathological criteria in risk stratification.
miR-93-5p disruption reduced GBM cell proliferation, migration, and invasion.
Abstract
Cuprotosis is an emerging form of copper‐dependent programmed cell death, while low‐grade gliomas (LGGs) represent a common subtype of primary brain tumors. Datasets from The Cancer Genome Atlas and TargetScan were utilized to identify cuprotosis‐related microRNAs (CRMs). Univariate Cox and Lasso regression analyses identified CRMs linked to prognostic outcomes. Prognostic profiles for patients with LGG were constructed using multivariate Cox regression and validated for risk stratification in the CGGA external validation cohort. The study examined clinical features, mutational status, immune cell infiltration, signaling pathways, and immune checkpoint expression across different risk groups. Functional experiments assessed the biological significance of key model genes. Seven CRMs significantly associated with LGG prognosis were identified. The correlation between the CRM signature…
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Taxonomy
TopicsFerroptosis and cancer prognosis · Glioma Diagnosis and Treatment · Trace Elements in Health