Metabolically Active Zones Involving Fatty Acid Elongation Delineated by DESI-MSI Correlate with Pathological and Prognostic Features of Colorectal Cancer

Author:

Kaufmann Martin12,Iaboni Natasha3,Jamzad Amoon4,Hurlbut David3ORCID,Ren Kevin Yi Mi3,Rudan John F.1,Mousavi Parvin4,Fichtinger Gabor4ORCID,Varma Sonal3,Caycedo-Marulanda Antonio15ORCID,Nicol Christopher J. B.36

Affiliation:

1. Department of Surgery, Kingston Health Sciences Centre, Kingston, ON K7L 2V7, Canada

2. Gastrointestinal Diseases Research Unit, Kingston Health Sciences Center, Kingston, ON K7L 2V7, Canada

3. Department of Pathology and Molecular Medicine, Queen’s University and Kingston Health Sciences Centre, Kingston, ON K7L 3N6, Canada

4. School of Computing, Queen’s University, Kingston, ON K7L 2N8, Canada

5. Orlando Health Colon and Rectal Institute, Orlando, FL 32806, USA

6. Queen’s Cancer Research Institute, Division of Cancer Biology and Genetics, Kingston, ON K7L 3N6, Canada

Abstract

Colorectal cancer (CRC) is the second leading cause of cancer deaths. Despite recent advances, five-year survival rates remain largely unchanged. Desorption electrospray ionization mass spectrometry imaging (DESI) is an emerging nondestructive metabolomics-based method that retains the spatial orientation of small-molecule profiles on tissue sections, which may be validated by ‘gold standard’ histopathology. In this study, CRC samples were analyzed by DESI from 10 patients undergoing surgery at Kingston Health Sciences Center. The spatial correlation of the mass spectral profiles was compared with histopathological annotations and prognostic biomarkers. Fresh frozen sections of representative colorectal cross sections and simulated endoscopic biopsy samples containing tumour and non-neoplastic mucosa for each patient were generated and analyzed by DESI in a blinded fashion. Sections were then hematoxylin and eosin (H and E) stained, annotated by two independent pathologists, and analyzed. Using PCA/LDA-based models, DESI profiles of the cross sections and biopsies achieved 97% and 75% accuracies in identifying the presence of adenocarcinoma, using leave-one-patient-out cross validation. Among the m/z ratios exhibiting the greatest differential abundance in adenocarcinoma were a series of eight long-chain or very-long-chain fatty acids, consistent with molecular and targeted metabolomics indicators of de novo lipogenesis in CRC tissue. Sample stratification based on the presence of lympovascular invasion (LVI), a poor CRC prognostic indicator, revealed the abundance of oxidized phospholipids, suggestive of pro-apoptotic mechanisms, was increased in LVI-negative compared to LVI-positive patients. This study provides evidence of the potential clinical utility of spatially-resolved DESI profiles to enhance the information available to clinicians for CRC diagnosis and prognosis.

Funder

Queen’s University Bridge Funding

The Department of Surgery Britton Smith Chair, and Chair in Surgical Innovation

Canada Foundation for Innovation—John R Evans fund

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes for Health Research

Queen’s University Robert J. Wilson Scholarship and the QHS Dean’s Doctoral Award

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

Reference41 articles.

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