Evidence map›Paper›PMID 39229066›Full record

ArticlebioRxiv : the preprint server for biology2024

Multiplexed Glycan Immunofluorescence Identification of Pancreatic Cancer Cell Subpopulations in Both Tumor and Blood Samples.

Braelyn Binkowski, Zachary Klamer, ChongFeng Gao, Ben Staal, Anna Repesh, Hoang-Le Tran, David M Brass, Pamela Bartlett, Steven Gallinger, Maria Blomqvist and 8 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Braelyn BinkowskiVan Andel Institute, Grand Rapids, Michigan, USA.
Zachary KlamerVan Andel Institute, Grand Rapids, Michigan, USA.
ChongFeng GaoVan Andel Institute, Grand Rapids, Michigan, USA.
Ben StaalVan Andel Institute, Grand Rapids, Michigan, USA.
Anna RepeshVan Andel Institute, Grand Rapids, Michigan, USA.
Hoang-Le TranVan Andel Institute, Grand Rapids, Michigan, USA.
David M BrassVan Andel Institute, Grand Rapids, Michigan, USA.
Pamela BartlettTrinity Health Grand Rapids, Michigan, USA.
Steven GallingerUniversity Health Network, Toronto, ON, Canada.
Maria BlomqvistDepartment of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden.
J Bradley MorrowTrinity Health Grand Rapids, Michigan, USA.
Peter AllenDuke University School of Medicine, Durham, NC, USA.
Chanjuan ShiDuke University School of Medicine, Durham, NC, USA.
Aatur SinghiUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Randall BrandUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Ying HuangFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Galen HostetterVan Andel Institute, Grand Rapids, Michigan, USA.
Brian B HaabVan Andel Institute, Grand Rapids, Michigan, USA.

Funding

Validation of biomarkers for risk prediction and early diagnosis of Pancreatic AdenocarcinomaU01CA200466 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Surinder K. Batra, Randall Brand · 2016 to 2026
$11.3M
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
NCI NIH HHS U01 CA152653NCI NIH HHS U01 CA200466
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) tumor heterogeneity impedes the development of biomarker assays suitable for early disease detection that would improve patient outcomes. The CA19-9 glycan is currently used as a standalone biomarker for PDAC. Furthermore, previous studies have shown that cancer cells may display aberrant membrane-associated glycans. We therefore hypothesized that PDAC cancer cell subpopulations could be distinguished by aberrant glycan signatures. We used multiplexed glycan immunofluorescence combined with pathologist annotation and automated image processing to distinguish between PDAC cancer cell subpopulations within tumor tissue. Using a training-set/test-set approach, we found that PDAC cancer cells may be identified by signatures comprising 4 aberrant glycans (VVL, CA19-9, sTRA, and GM2) and that there are three glycan-defined PDAC tumor types: sTRA type, CA19-9 type, and intermixed. To determine whether the aberrant glycan signatures could be detected in blood samples, we developed hybrid glycan sandwich assays for membrane-associated glycans. In both patient-matched tumor and blood samples, the proportion of aberrant glycans detected was consistent. Furthermore, our multiplexed glycan immunofluorescent approach proved to be more sensitive and more specific than CA19-9 alone. Our results provide proof of concept for a novel methodology to improve early PDAC detection and patient outcomes.

Identifiers

PMID39229066
PMCPMC11370594

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Registered trials

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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.