Background
Breast cancer (BrCa) is a heterogeneous disease which complicates early detection, subtyping, and treatment selection. Metabolic alterations are hallmarks of cancer, but current methods to study metabolism, especially stable isotope analysis, involve complex workflows, derivatization steps, and have limited clinical use. Lipid metabolism is altered in BrCa, yet sensitive, minimally invasive tools to quantify fatty acid (FA) isotope signatures are lacking. A gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS) method allowing direct, high-precision analysis of underivatized FAs in tissues and serum is needed for improved cancer phenotyping.
Results
A novel GC-C-IRMS method is developed for direct δ13C (carbon isotope composition) and concentration analysis of underivatized FAs in tissues and serum, with excellent repeatability, reproducibility, and minimal matrix effects. The optimized method involves simple sample preparation by lipid hydrolysis without requiring derivatization, followed by FA separation using a polar GC column. The method is validated for both quantification and isotopic analysis using internal standards and applied to human tissue and serum samples from patients with different BrCa subtypes. Significant natural 13C enrichment is observed in C16:0, C16:1, and C18:1, alongside a decrease in C14:0 and C16:1 concentrations in cancerous tissue compared to adjacent non-cancerous tissue, reflecting shifts in lipid metabolism during carinogenesis. Importantly, δ¹³C values of C18:0 and C18:2 in both cancerous tissue and serum differed betwen BrCa subtypes.
Significance
This is the first GC-C-IRMS method enabling high-precision, direct analysis of underivatized FAs in tissues and serum with minimal sample preparation. The approach offers a promising, minimally invasive tool for characterizing FA metabolism and improving breast cancer detection, subtyping, and metabolic phenotyping without isotopic labeling.
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