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Updated: Jul 28, 2025
An Enrichment Method for Small Extracellular Vesicles Derived from Liver Cancer Tissue
Published on: February 3, 2023
Metabolic Changes in Blood-derived Extracellular Vesicles of Malnourished Breast Cancer Patients
Judith Buentzel1, Matthias Schulz2, Lena Aperdannier2
1Department of Hematology and Medical Oncology, University Medical Center Goettingen, Goettingen, Germany; judith.buentzel@med.uni-goettingen.de.
Background/Aim:
Cancer cachexia describes a multifactorial wasting syndrome marked by a metabolic imbalance leading to the loss of muscle and fat tissue. Extracellular vesicles (EV) provide unique insights into their parental cells' metabolism. The value of these vesicles as diagnostic tools in cancer cachexia has not been investigated so far.
Patients And Methods:
A previously analyzed metabolomics dataset on large EV from breast cancer patients was used for analyzing the metabolomic changes in patients with malnutrition. Follow-up time was 6 months. The data were analyzed using fold change analysis, volcano plotting, receiver operator characteristic (ROC) analysis, pathway analysis, and survival analysis.
Results:
In patients with weight loss, statistical analysis revealed an increase in lysophosphatidylcholines (lysoPC a C16:0, lysoPC a C18:0, lysoPC a C18:1, lysoPC a C18:2, lysoPC a C20:4), sphingomyelins (SM (OH) C22:2 and SM C18:1), and phosphatidylcholines (PC aa C24:0, PC ae C34:3). When combined, these metabolites are a good predictor for cachexia in ROC curve analysis (AUC of 0.970; 95%CI=0.920-1.000; p<0.0001). Pathway analysis revealed an involvement of metabolites in "choline metabolism in cancer" and "glycerophospholipid metabolism".
Conclusion:
Large EV reflect metabolic changes in cancer patients suffering from cancer cachexia. Metabolic changes at the time of drawing blood were associated with the weight status (stable vs. weight loss) six months later and thereby could have a predictive impact.
