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Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted
Jiachen Wang1, Chengzhuo Wang2, Shenglan Li1
1Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China.
Discover Oncology
|March 14, 2025
Summary
This study identified specific blood lipid ratios as risk factors or protective elements for glioma. Findings suggest potential new biomarkers for early diagnosis and treatment of brain tumors.
Area of Science:
- Neuro-oncology
- Metabolomics
- Genetic Epidemiology
Background:
- Glioma, a common central nervous system malignancy, presents significant treatment and prognosis challenges.
- Identifying etiological factors and therapeutic targets for glioma is crucial.
Purpose of the Study:
- To investigate the causal relationships between circulating metabolic traits and glioma risk.
- To discover potential diagnostic and therapeutic targets for glioma and its subtypes.
Main Methods:
- Utilized a bidirectional, two-sample Mendelian randomization (MR) analysis.
- Incorporated Bayesian weighted MR and sensitivity analyses.
- Explored reverse MR to assess glioma's causal effects on metabolites.
Main Results:
- Elevated Total cholesterol to total lipids ratio in large VLDL and PUFAbyFA ratio are glioma risk factors.
- Free cholesterol and phospholipids in small HDL are protective against glioma.
- Specific lipid ratios, linoleic acid, phosphatidylcholine, and sphingomyelins are risk factors for non-GBM glioma; free cholesterol in small HDL is protective.
Conclusions:
- Circulating metabolic traits, particularly lipid profiles, have causal effects on glioma development.
- Identified potential biomarkers for early glioma diagnosis and targeted therapy.
- Findings offer insights into glioma pathogenesis and personalized treatment strategies.
