A novel algorithm to differentiate between primary lung tumors and distant liver metastasis in lung cancers using an exosome based multi gene biomarker panel
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View abstract on PubMed
Summary
This summary is machine-generated.A novel blood-based exosomal biomarker panel aids in early lung cancer liver metastasis detection and monitoring. This diagnostic tool improves patient prognosis through accurate risk assessment and survival prediction.
Area Of Science
- Oncology
- Biomarker Discovery
- Molecular Diagnostics
Background
- Lung cancer liver metastasis (LCLM) significantly worsens patient prognosis due to a lack of early detection methods.
- Non-invasive diagnostic tools are crucial for timely intervention and improved outcomes in LCLM patients.
Purpose Of The Study
- To identify and validate circulating biomarkers for early diagnosis and monitoring of LCLM.
- To develop a predictive model using exosomal biomarkers for LCLM detection and prognosis.
Main Methods
- Validated an 8-gene panel in circulating tumor cells (CTC), cell-free RNA (cfRNA), and exosomes.
- Utilized multivariate analysis (PCA, ROC) to assess biomarker panel sensitivity and specificity.
- Validated a predictive model in a separate cohort and analyzed survival and immune infiltration correlations.
Main Results
- An 8-gene exosomal panel showed good discriminative value (AUC 0.7247).
- A refined 5-gene panel achieved high AUCs of 0.9488 (tissue) and 0.9924 (exosomes).
- A validated model with a risk score (RS > 0.2) predicted LCLM with 95% accuracy; four exosomal markers correlated with poor survival.
Conclusions
- A novel blood-based exosomal biomarker panel enables early diagnosis of LCLM.
- The panel facilitates monitoring of therapeutic response and prognostic evaluation in LCLM patients.
- This non-invasive approach holds promise for improving LCLM patient management.
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