Multiplexed glycan immunofluorescence identification of pancreatic cancer cell subpopulations in both tumor and blood samples

Pancreatic ductal adenocarcinoma (PDAC) tumor heterogeneity impedes the development of biomarker assays for early disease detection. We hypothesized that PDAC cell subpopulations could be identified by aberrant glycan signatures in both tumor tissue and blood samples. We used multiplexed glycan immunofluorescence to distinguish between PDAC and noncancer cell subpopulations within tumor tissue, and we developed hybrid glycan sandwich assays to determine whether the aberrant glycan signatures could be detected in blood samples. We found that PDAC cells were identified by signatures of glycans detected by four glycan-binding proteins (VVL, CA19-9, sTRA, and GM2) and that there are three types of glycan-defined PDAC tumors: sTRA type, CA19-9 type, and intermixed. In patient-matched tumor and blood samples, the PDAC tumor type could be determined by the aberrant glycans in the blood. As a result, the combined assays of aberrant glycan signatures were more sensitive and specific than any individual assay. Our results demonstrate a methodology to detect and stratify PDAC.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-03-07
DOI
https://doi.org/10.1126/sciadv.adt0029
Citations
3
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
3.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiplexed glycan immunofluorescence identification of pancreatic cancer cell subpopulations in both tumor and blood samples

Pamela Bartlett, Ying Huang, Aatur Dilip Singhi, Peter J. Allen et al.
3 citations
Science Advances
Pancreatic and Hepatic Oncology Research
3.14
article

Multiplexed glycan immunofluorescence identification of pancreatic cancer cell subpopulations in both tumor and blood samples

Pamela Bartlett, Ying Huang, Aatur Dilip Singhi, Peter J. Allen, Randall E. Brand, Brian B. Haab, Ben Staal, Chong Gao, Chanjuan Shi, Galen Hostetter, J. Bradley Morrow, Zachary Klamer, Maria Blomqvist, Steven Gallinger, David M. Brass, Anna Repesh, Hoang-Le Tran, Braelyn Binkowski
article en
3 citations

Abstract

Pancreatic ductal adenocarcinoma (PDAC) tumor heterogeneity impedes the development of biomarker assays for early disease detection. We hypothesized that PDAC cell subpopulations could be identified by aberrant glycan signatures in both tumor tissue and blood samples. We used multiplexed glycan immunofluorescence to distinguish between PDAC and noncancer cell subpopulations within tumor tissue, and we developed hybrid glycan sandwich assays to determine whether the aberrant glycan signatures could be detected in blood samples. We found that PDAC cells were identified by signatures of glycans detected by four glycan-binding proteins (VVL, CA19-9, sTRA, and GM2) and that there are three types of glycan-defined PDAC tumors: sTRA type, CA19-9 type, and intermixed. In patient-matched tumor and blood samples, the PDAC tumor type could be determined by the aberrant glycans in the blood. As a result, the combined assays of aberrant glycan signatures were more sensitive and specific than any individual assay. Our results demonstrate a methodology to detect and stratify PDAC.

Science AdvancesVol. 11(10)
Trinity Health (US), Van Andel Institute (US), University Health Network (CA), Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA), Duke University (US), Sahlgrenska University Hospital (SE), Fred Hutch Cancer Center (US), University of Pittsburgh Medical Center (US), Seattle University (US), University of Gothenburg (SE)
Good health and well-being
Openalex Percentile: Top 9%
Pancreatic and Hepatic Oncology Research
3.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.