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Serum Metabolomics Study Reveals a Diagnostic Model for Lung Cancer Brain Metastasis
Hongxia Zhu1, Yinuo Jin1, Xin You2
1Department of Respiratory Medicine, the Second Affiliated Hospital of Dalian Medical University, Dalian, China.
The Clinical Respiratory Journal
|May 5, 2026
Summary
Researchers identified a unique metabolic signature in the blood of lung cancer patients with brain metastasis. This finding could lead to new noninvasive diagnostic tools for early detection and risk stratification.
Area of Science:
- Oncology
- Metabolomics
- Biomarker Discovery
Background:
- Lung cancer is a leading cause of cancer death globally.
- Brain metastasis is a frequent complication in advanced lung cancer.
- Noninvasive early diagnostic methods are crucial for clinical management.
Purpose of the Study:
- To identify metabolic profiles associated with lung cancer brain metastasis.
- To explore potential noninvasive biomarkers for early diagnosis and risk stratification.
Main Methods:
- Untargeted liquid chromatography-mass spectrometry (LC-MS) was used for serum metabolomic profiling.
- 66 serum samples were analyzed from patients with lung cancer brain metastasis, early-stage lung cancer, and healthy controls.
- Comparative analysis identified significantly differentially expressed metabolites.
Main Results:
- A total of 719 metabolites were identified.
- 20 metabolites were significantly upregulated and 12 downregulated in the lung cancer brain metastasis group.
- These metabolites were mainly involved in amino acid and energy metabolism pathways, forming a distinct metabolic signature.
Conclusions:
- A specific metabolic signature is associated with brain metastasis in lung cancer patients.
- This signature shows potential as a biomarker for risk stratification.
- Further validation in independent cohorts is necessary for clinical application.
