ArticleFrontiers in medicine2025
Exploration of patient plasma exosomes as biomarkers for predicting lung cancer brain metastasis.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Many studies have found that exosomes have numerous advantages in the early diagnosis of tumors. We detected and analyzed plasma exosomes from lung cancer patients to identify potential biomarkers that could predict brain metastasis. Method: The total RNA of plasma exosomes of advanced lung cancer patients was extracted and sequenced. The BLAST software was used to align the predicted target gene sequence against the GO and KEGG databases, thereby acquiring annotation details for the target genes. The selected exosomal miRNAs and short-chain fatty acids were subjected to diagnostic performance validation analysis. Results: Exosomal miR-223-3p, miR-27a-3p, and miR-27b-3p were significantly increased in the plasma exosomes of lung cancer patients with brain metastasis. The concentrations of isobutyric acid (IBA), valeric acid (VA), isovaleric acid (IVA), and acetic acid (AA) were markedly elevated in the plasma exosomes of lung cancer patients with brain metastasis. Spearman correlation analysis revealed that both miR-27a-3p and miR-27b-3p had significant associations with IVA and VA. A multi-biomarker model combining the selected exosomal miRNAs with metabolic molecules could improve the diagnostic performance with an AUC of 0.927. Conclusion: Plasma exosomal miR-223-3p, miR-27a-3p, miR-27b-3p, and IBA, IVA, VA, and AA in advanced patients are closely associated with brain metastasis and have the potential to act as biomarkers for predicting brain metastasis in lung cancer patients.
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