Evidence map›Paper›PMID 41592755›Full record

ArticleCancer immunology research2026

Computational Modeling of Cellular Influence Delineates Functionally Relevant and Distinct Cellular Neighborhoods in Primary and Metastatic Pancreatic Ductal Adenocarcinoma.

Yeonju Cho, Jae W Lee, Sarah M Shin, Alexei G Hernandez, Xuan Yuan, Jowaly Schneider, Jody E Hooper, Laura D Wood, Elizabeth M Jaffee, Atul Deshpande and 1 more

Abstract read
In one paragraph

Article in Cancer immunology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yeonju ChoDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0009-0003-3983-8337
Jae W LeeDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-0735-5707
Sarah M ShinDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-7658-5899
Alexei G HernandezDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-6044-2631
Xuan YuanDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-7304-9927
Jowaly SchneiderDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0009-0007-5452-0246
Jody E HooperDepartment of Pathology, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-8209-3559
Laura D WoodDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-3096-652X
Elizabeth M JaffeeDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0003-3841-6549
Atul DeshpandeDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0001-5144-6924
Won Jin HoDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0003-2644-5086

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
Transforming Human Pancreatic Cancer Into An Immunologic DiseaseP01CA247886 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANDERS, ROBERT A. · 2021 to 2025
$12.7M
Tech Core 2U54CA268083 · NCI · JOHNS HOPKINS UNIVERSITY · PI Pei-Hsun wu · 2022 to 2026
$10.2M
Opportunities for Pathology Trainees in Cancer ResearchT32CA193145 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANDERS, ROBERT A., EBERHART, CHARLES G · 2015 to 2025
$2.6M
Informing mechanistic rules of agent-based models with single-cell multi-omicsU24CA284156 · NCI · TRUSTEES OF INDIANA UNIVERSITY · PI Elana Fertig, Paul T Macklin · 2024 to 2026
$2.3M
Single-cell and imaging data integration software to spatially resolve the tumor microenvironmentU01CA253403 · NCI · JOHNS HOPKINS UNIVERSITY · PI FERTIG, ELANA · 2020 to 2022
$1.2M
Mass Cytometer CyTOF XT for Single-Cell BiologyS10OD034407 · OD · JOHNS HOPKINS UNIVERSITY · PI HO, WON JIN · 2024 to 2024
$499k
Break Through Cancer (BTC)DOD W81XWH2210772Maryland Cigarette Restitution Fund Research Grant to the Johns Hopkins Medical Institutions FY25NCI NIH HHS P01 CA247886NCI NIH HHS P30 CA006973NCI NIH HHS T32 CA193145NCI NIH HHS U01 CA253403NCI NIH HHS U24 CA284156NCI NIH HHS U24CA284156NCI NIH HHS U54 CA268083NIH HHS S10 OD034407NIH HHS S10OD034407NIH/NCI P01CA247886NIH/NCI P30CA006973NIH/NCI T32CA193145NIH/NCI U54CA268083Single-cell and imaging data integration software to spatially resolve the tumor microenvironment 5U01CA253403-03The Lustgarten Foundation "A Translational Convergence Program of Personalized Immunotherapy for Pancreatic Cancer Patients at Johns Hopkins"
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer, with liver metastases significantly worsening outcomes. However, features of the tumor microenvironment (TME) that are distinct between primary and metastatic sites remain poorly defined. Cellular neighborhoods within the TME are recognized as functional units that influence tumor behavior. Conventional spatial methods, which assign equal weights to all cells in a region, fail to capture the nuances of cellular interactions. To address this, we report here the development of Functional Cellular Neighborhood (FunCN) quantification, which integrates both the proportion and proximity of surrounding cells. Applying FunCN to PDAC imaging mass cytometry data, we identified neutrophil-enriched interactions in liver metastases compared with primary tumors, correlating with elevated VISTA expression by tumor cells. Additionally, FunCN clusters around CD8+ T cells in the pancreas and liver were associated with higher TIGIT and LAG3, respectively. These findings demonstrate the importance of spatial immune landscapes in PDAC and identify potential therapeutic opportunities.

Indexed as

Carcinoma, Pancreatic DuctalComputer SimulationLiver NeoplasmsPancreatic NeoplasmsTumor MicroenvironmentAnimalsCD8-Positive T-LymphocytesHumansNeutrophils

Identifiers

PMID41592755
PMCPMC12988722

What OpenQuestion holds

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Registered trials

None linked

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.