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Lipidomic Profiling of Colorectal Lesions for Real-Time Tissue Recognition and Risk-Stratification Using Rapid Evaporative Ionization Mass Spectrometry.

Authors :
Mason, Sam E.
Manoli, Eftychios
Alexander, James L.
Poynter, Liam
Ford, Lauren
Paizs, Petra
Adebesin, Afeez
McKenzie, James S.
Rosini, Francesca
Goldin, Rob
Darzi, Ara
Takats, Zoltan
Kinross, James M.
Source :
Annals of Surgery; Mar2023, Vol. 277 Issue 3, pe569-e577, 9p
Publication Year :
2023

Abstract

Objective: Rapid evaporative ionization mass spectrometry (REIMS) is a metabolomic technique analyzing tissue metabolites, which can be applied intraoperatively in real-time. The objective of this study was to profile the lipid composition of colorectal tissues using REIMS, assessing its accuracy for real-time tissue recognition and risk-stratification. Summary Background Data: Metabolic dysregulation is a hallmark feature of carcinogenesis; however, it remains unknown if this can be leveraged for real-time clinical applications in colorectal disease. Methods: Patients undergoing colorectal resection were included, with carcinoma, adenoma and paired-normal mucosa sampled. Ex vivo analysis with REIMS was conducted using monopolar diathermy, with the aerosol aspirated into a Xevo G2S QToF mass spectrometer. Negatively charged ions over 600 to 1000 m/z were used for univariate and multivariate functions including linear discriminant analysis. Results: A total of 161 patients were included, generating 1013 spectra. Unique lipidomic profiles exist for each tissue type, with REIMS differentiating samples of carcinoma, adenoma, and normal mucosa with 93.1% accuracy and 96.1% negative predictive value for carcinoma. Neoplasia (carcinoma or adenoma) could be predicted with 96.0% accuracy and 91.8% negative predictive value. Adenomas can be risk-stratified by grade of dysplasia with 93.5% accuracy, but not histological subtype. The structure of 61 lipid metabolites was identified, revealing that during colorectal carcinogenesis there is progressive increase in relative abundance of phosphatidylglycerols, sphingomyelins, and mono-unsaturated fatty acid-containing phospholipids. Conclusions: The colorectal lipidome can be sampled by REIMS and leveraged for accurate real-time tissue recognition, in addition to riskstratification of colorectal adenomas. Unique lipidomic features associated with carcinogenesis are described. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00034932
Volume :
277
Issue :
3
Database :
Supplemental Index
Journal :
Annals of Surgery
Publication Type :
Academic Journal
Accession number :
161966346
Full Text :
https://doi.org/10.1097/SLA.0000000000005164