Identification of novel diagnostic biomarkers in endometrial cancer using targeted metabolomic profiling
- PMID: 33360772
- DOI: 10.1016/j.advms.2020.12.001
Identification of novel diagnostic biomarkers in endometrial cancer using targeted metabolomic profiling
Abstract
Purpose: Endometrial cancer (EC) is the most common gynecological malignancy with high disease burden especially in advanced stages of the disease. Our study investigated the metabolomic profile of EC patient's serum with the aim of identifying novel diagnostic biomarkers that could be used especially in early disease detection.
Material and methods: Using targeted metabolomic serum profiling based on HPLC-TQ/MS, women with EC (n = 15) and controls (n = 21) were examined for 232 endogenous metabolites.
Results: Top performing biomarkers included ceramides, acylcarnitines and 1-methyl adenosine. Top 4 biomarkers combined achieved 94% sensitivity with 75% specificity with AUC 92.5% (CI 90.5-94.5%). Individual markers also provided significant predictive values: C16-ceramide achieved sensitivity 73%, specificity 81%, AUC 0.83, C22-ceramide sensitivity 67%, specificity 81%, AUC 0.77, hydroxyhexadecenoylcarnitine sensitivity 60%, specificity 96%, AUC 0.76 and 1-methyladenosine sensitivity 67%, specificity 81%, AUC 0.75. The individual markers, however, did not reach the high sensitivity and specificity of the 4-biomarker combination.
Conclusions: Using mass spectrometry targeted metabolomic profiling, ceramides, acylcarnitines and 1-methyladenosine were identified as potential diagnostic biomarkers for EC. Additionally, these identified metabolites may provide additional insight into cancer cell metabolism.
Keywords: 1-Methyladenosine; Acylcarnitines; Ceramides; Endometrial cancer; Metabolomics.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of competing interest Marko Bitenc, Kristi Kruusmaa, Rosa Argamasilla and Antonio Adsuar are employees of the Universal Dx and may in the long run profit from potential commercially available diagnostic test developed with the aid of research data.
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