Evidence map›Paper›PMID 38288301›Full record

ArticleFrontiers in medicine2023

Recognition of pseudoinvasion in colorectal adenoma using spatial glycomics.

Fanny Boyaval, Arantza Fariña-Sarasqueta, Jurjen J Boonstra, Bram Heijs, Hans Morreau

Abstract read
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Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fanny BoyavalDepartment of Pathology, Leiden University Medical Center, Leiden, Netherlands.
Arantza Fariña-SarasquetaDepartment of Pathology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Jurjen J BoonstraDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, Netherlands.
Bram HeijsCenter for Proteomics & Metabolomics, Leiden University Medical Center, Leiden, Netherlands.
Hans MorreauDepartment of Pathology, Leiden University Medical Center, Leiden, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudoinvasion (PI) is a benign lesion in which cancer is mimicked in the colon by misplacement of dysplastic glands in the submucosa. Although there are morphological clues, the discrimination of PI from true invasion can be a challenge during pathological evaluation of colon adenomas. Both overdiagnosis and underdiagnosis can result in inadequate clinical decisions. This calls for novel tools to aid in cases where conventional methods do not suffice. We performed mass spectrometry imaging (MSI)-based spatial glycomics analysis on a cohort of formalin-fixed paraffin-embedded tissue (FFPE) material from 16 patients who underwent polypectomy. We used this spatial glycomic data to reconstruct the molecular histology of the tissue section using spatial segmentation based on uniform manifold approximation and projection for dimension reduction (UMAP). We first showed that the spatial glycomic phenotypes of the different morphological entities separated as distinct clusters in colon tissues, we separated true invasion from the other morphological entities. Then, we found that the glycomic phenotype in areas with suspected PI in the submucosa was strongly correlating with the corresponding glycomic phenotype of the adenomatous colon epithelium from the same tissue section (Pearson correlation distance average = 0.18). These findings suggest that using spatial glycomics, we can distinguish PI as having a molecular phenotype similar to the corresponding surface epithelium and true invasion as having a different phenotype even when compared to high-grade dysplasia. Therefore, when a novel molecular phenotype is found in the deepest submucosal region, this may be used as an argument in favor of true invasion.

Indexed as

colorectal cancerglycomicmarkermass spectrometry imagingpseudoinvasion

Identifiers

PMID38288301
PMCPMC10822882

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