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Detectable Lipidomes and Metabolomes by Different Plasma Exosome Isolation Methods in Healthy Controls and Patients
Alex C Soupir1,2, Yijun Tian1, Paul A Stewart2
1Department of Tumor Biology, Moffitt Cancer Center, Tampa, FL 33612, USA.
International Journal of Molecular Sciences
|February 11, 2023
Summary
Choosing the right plasma exosome isolation method is crucial for cancer biomarker discovery. Size exclusion chromatography (SEC) captures more diverse exosome populations, revealing significant molecular differences in non-small cell lung cancer and castration-resistant prostate cancer patients.
Area of Science:
- Biochemistry
- Molecular Biology
- Oncology
Background:
- Circulating exosomes in blood hold potential as cancer biomarkers.
- Exosome heterogeneity means isolation methods can yield distinct molecular profiles.
- Evaluating isolation method impact is key for reliable biomarker discovery.
Purpose of the Study:
- To assess how plasma exosome isolation techniques affect multi-omic profiles in non-small cell lung cancer (NSCLC) and castration-resistant prostate cancer (CRPC).
- To develop an algorithm for quantifying exosome enrichment.
- To compare size exclusion chromatography (SEC), lectin binding, and TIM-4 binding methods.
Main Methods:
- Plasma exosomes isolated from CRPC, NSCLC patients, and controls using SEC, lectin, and TIM-4 binding.
- Molecular profiling via mass spectrometry.
- Enrichment analysis using MetaboAnalyst and an exosome enrichment index (EEI).
Main Results:
- SEC yielded the highest number of detected lipids (949) and metabolites (191).
- SEC identified significant lipid differences in NSCLC patients compared to controls.
- Lectin and TIM-4 binding methods showed fewer detected molecules and no significant differences between patient groups.
Conclusions:
- Size exclusion chromatography (SEC) captures more heterogeneous exosome populations, enhancing biomarker discovery potential.
- Lectin and TIM-4 binding methods preferentially isolate specific exosome subpopulations.
- The choice of exosome isolation method significantly influences cancer biomarker discovery outcomes.

