Serum metabolomic signatures predict clinical outcomes in advanced non-small cell lung cancer treated with pembrolizumab plus platinum-based chemotherapy - Report - MDSpire
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Serum metabolomic signatures predict clinical outcomes in advanced non-small cell lung cancer treated with pembrolizumab plus platinum-based chemotherapy
Clinical Report: Metabolomic Profiles in Serum as Predictors of Clinical Outcomes
Overview
This study investigates the relationship between serum metabolomic profiles and clinical outcomes in advanced non-small cell lung cancer (NSCLC) patients undergoing pembrolizumab and chemotherapy. Key findings suggest that specific metabolites, particularly branched-chain amino acids and lipids, are associated with disease progression and overall survival.
Background
Lung cancer is the leading cause of cancer-related mortality, with non-small cell lung cancer (NSCLC) comprising the majority of cases. The combination of pembrolizumab and platinum-based chemotherapy has become a standard treatment for advanced NSCLC, yet predicting patient response remains challenging. Metabolomics offers a novel approach to identify biomarkers that may improve treatment stratification and outcomes.
Data Highlights
Metabolite
Association
Branched-chain amino acids (BCAAs)
Lower levels linked to disease progression within 60 days
Sphingomyelin
Higher levels associated with long-term survival
Apolipoproteins A1 and A2
Higher levels linked to better overall survival
Glycoprotein acetyls
Higher levels associated with mortality
Key Findings
Lower serum levels of BCAAs (valine and isoleucine) are associated with disease progression.
Distinct metabolomic signatures correlate with overall survival in NSCLC patients.
Long-term survivors exhibit higher levels of lipids, including total phospholipids and sphingomyelin.
Inflammatory markers such as glycoprotein acetyls are linked to higher mortality rates.
A Random Forest model achieved high accuracy (AUC = 0.93) in predicting survival status based on metabolomic profiles.
Clinical Implications
The identification of specific serum metabolites as biomarkers may enhance the ability to predict disease progression and survival in NSCLC patients receiving pembrolizumab and chemotherapy. This approach could lead to more personalized treatment strategies and improved patient outcomes.
Conclusion
Serum metabolomic profiling presents a promising avenue for predicting clinical outcomes in advanced NSCLC, highlighting the potential for non-invasive biomarkers in oncology.
by Peter May, Christof Winter, Inga Hubrecht, Adrian Patenge, Selina Strathmeyer, Roland Geyer, Steffen Heelemann, Jan Stratmann, Seyer Safi, Henriette Klein, Folker Schneller, Florian Bassermann, Aaron Becker von Rose