Evidence map›Paper›PMID 42675914›Full record

ArticleAnnals of medicine2026

Single-cell RNA sequencing uncovers an immunosuppressive program in PDAC mast cells: tumour-driven activation, proliferation, and association with Treg recruitment.

Mengli Wu, XuXia Ye, Qi Yu, Hui Huang, Zhezhong Zhang, Xiaoli Yu, Songmei Lou, Jian Xu

Abstract read
In one paragraph

Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Mengli WuSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China.
XuXia YeSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China.
Qi YuSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China.
Hui HuangSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China.
Zhezhong ZhangDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, P.R. China.
Xiaoli YuDepartment of Pathology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, PR China.
Songmei LouDepartment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, PR China.
Jian XuSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is characterized by a highly immunosuppressive tumour microenvironment (TME), which contributes to its resistance to immunotherapy. Although mast cells (MCs) have been implicated in PDAC progression, their functional heterogeneity and candidate signaling models of immune modulation remain poorly understood.

methodsThrough an integrated analysis of multiple single-cell RNA sequencing (scRNA-seq) datasets, we identified a significant enrichment of MCs in PDAC tissues and established a characteristic gene signature (TPSAB1, TPSB2, CPA3, HPGDS, KIT, LTC4S) for their precise identification.

resultsSingle-cell RNA-seq analysis categorized MCs in PDAC into resting, activated, and proliferating subpopulations. To functionally validate these transcriptomic predictions,

conclusionsOur study suggests that MCs are key orchestrators of immunosuppression in PDAC, predicted to interact with Tregs through the MIF-CD74/CXCR4 axis, offering a novel rationale for targeting the MC-Treg axis in future immunotherapeutic strategies.

Indexed as

Carcinoma, Pancreatic DuctalMast CellsPancreatic NeoplasmsT-Lymphocytes, RegulatoryCell CommunicationCell Line, TumorCell ProliferationCoculture TechniquesGene Expression Regulation, NeoplasticHumansReceptors, CXCR4Sequence Analysis, RNASignal TransductionSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor MicroenvironmentReceptors, CXCR4cell–cell communicationimmunosuppressionmast cellMIF signalingPancreatic ductal adenocarcinomaregulatory T cellssingle-cell RNA sequencingtumour microenvironment

Identifiers

PMID42675914
PMCPMC13537062

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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.