Evidence map›Paper›PMID 37124496›Full record

ArticleFrontiers in oncology2023

Heterogeneity of glycan biomarker clusters as an indicator of recurrence in pancreatic cancer.

Luke Wisniewski, Samuel Braak, Zachary Klamer, ChongFeng Gao, Chanjuan Shi, Peter Allen, Brian B Haab

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Luke WisniewskiDepartment of Cell Biology, Van Andel Institute, Grand Rapids, MI, United States.
Samuel BraakDepartment of Cell Biology, Van Andel Institute, Grand Rapids, MI, United States.
Zachary KlamerDepartment of Cell Biology, Van Andel Institute, Grand Rapids, MI, United States.
ChongFeng GaoDepartment of Cell Biology, Van Andel Institute, Grand Rapids, MI, United States.
Chanjuan ShiDepartment of Pathology, Duke University School of Medicine, Durham, NC, United States.
Peter AllenDepartment of Surgery, Duke University School of Medicine, Durham, NC, United States.
Brian B HaabDepartment of Cell Biology, Van Andel Institute, Grand Rapids, MI, United States.

Funding

Detection of Pre-Invasive Pancreatic Cysts Using Protein and Glycan BiomarkersU01CA152653 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI ALLEN, PETER J, BRAND, RANDALL · 2010 to 2021
$5.8M
Subpopulations of Pancreatic Cancer Cells Defined by Glycan MarkersU01CA226158 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI BRAND, RANDALL, HAAB, BRIAN B. · 2019 to 2023
$3.2M
Targeted Glycomics and Affinity Reagents for Cancer Biomarker DevelopmentU01CA168896 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI HAAB, BRIAN B. · 2012 to 2016
$2.3M
On-chip Glycan Analysis of Clinical SpecimensR21AI129872 · NIAID · VAN ANDEL RESEARCH INSTITUTE · PI HAAB, BRIAN B. · 2016 to 2017
$631k
NCI NIH HHS U01 CA152653NCI NIH HHS U01 CA168896NCI NIH HHS U01 CA226158NIAID NIH HHS R21 AI129872
6 · The paper itself

Abstract

Introduction: Outcomes following tumor resection vary dramatically among patients with pancreatic ductal adenocarcinoma (PDAC). A challenge in defining predictive biomarkers is to discern within the complex tumor tissue the specific subpopulations and relationships that drive recurrence. Multiplexed immunofluorescence is valuable for such studies when supplied with markers of relevant subpopulations and analysis methods to sort out the intra-tumor relationships that are informative of tumor behavior. We hypothesized that the glycan biomarkers CA19-9 and STRA, which detect separate subpopulations of cancer cells, define intra-tumoral features associated with recurrence. Methods: We probed this question using automated signal thresholding and spatial cluster analysis applied to the immunofluorescence images of the STRA and CA19-9 glycan biomarkers in whole-block sections of PDAC tumors collected from curative resections. Results: The tumors (N = 22) displayed extreme diversity between them in the amounts of the glycans and in the levels of spatial clustering, but neither the amounts nor the clusters of the individual and combined glycans associated with recurrence. The combined glycans, however, marked divergent types of spatial clusters, alternatively only STRA, only CA19-9, or both. The co-occurrence of more than one cluster type within a tumor associated significantly with disease recurrence, in contrast to the independent occurrence of each type of cluster. In addition, intra-tumoral regions with heterogeneity in biomarker clusters spatially aligned with pathology-confirmed cancer cells, whereas regions with homogeneous biomarker clusters aligned with various non-cancer cells. Conclusion: Thus, the STRA and CA19-9 glycans are markers of distinct and co-occurring subpopulations of cancer cells that in combination are associated with recurrence. Furthermore, automated signal thresholding and spatial clustering provides a tool for quantifying intra-tumoral subpopulations that are informative of outcome.

Indexed as

biomarkersdigital pathologyglycansmultiplexed immunofluorescencepancreatic cancerrecurrence

Identifiers

PMID37124496
PMCPMC10130372

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.