Evidence map›Paper›PMID 41317293›Full record

ArticleClinical and experimental medicine2025

Single-cell transcriptomic analysis reveals key cell types and pathogenic genes associated with metastasis in pancreatic adenocarcinoma.

Shijun Shen, Zhiqiang Li, Hong Yang, Xinwei Zhang, Gang Chen, Chengzhou Pa

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shijun Shen *Department of Hepatopancreatobiliary and Minimally Invasive Surgery, The People's Hospital of Lincang, Lincang, 677000, China.
Zhiqiang Li *Department of Hepatobiliary Pancreatic and Vascular Surgery, The First People's Hospital of Kunming, The Affiliated Calmette Hospital of Kunming Medical University, Kunming, 650011, China.
Hong YangDepartment of Geriatrics, The People's Hospital of Lincang, Lincang, 677000, China.
Xinwei ZhangInterventional Department, The People's Hospital of Lincang, Lincang, 677000, China.
Gang ChenDepartment of Hepatobiliary Pancreatic and Vascular Surgery, The First People's Hospital of Kunming, The Affiliated Calmette Hospital of Kunming Medical University, Kunming, 650011, China. kmcg123@163.com.
Chengzhou PaDepartment of Hepatobiliary Pancreatic and Vascular Surgery, The First People's Hospital of Kunming, The Affiliated Calmette Hospital of Kunming Medical University, Kunming, 650011, China. PP222040@126.com.

Funding

the Scientific Research Fund Project of the Department of Education of Yunnan Province 2025J0800
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PAAD) metastasis is driven by complex tumor-microenvironment interactions. Here, we integrated single-cell and bulk transcriptomic analyses of 104,855 cells from 10 patients to delineate the cellular and molecular landscape of primary versus metastatic PAAD. We identified metastasis-associated epithelial (LMO7⁺, TOP2A⁺, PIGR⁺), fibroblast (IGKC⁺, RGS5⁺), and M2-like macrophage (APOE⁺, CD14⁺, FOLR2⁺, SPP1⁺) subpopulations, validated via bulk deconvolution. Functional analyses revealed upregulated Wnt signaling, epithelial-mesenchymal transition, and angiogenesis in metastatic epithelial and fibroblast compartments. Intercellular communication analysis highlighted SPP1-mediated macrophage-epithelial/fibroblast crosstalk involving key receptor-ligand pairs, contributing to immune suppression and metastatic niche formation. Integrating gene expression and cell proportions, we developed a prognostic model with high predictive accuracy (C-index > 0.85), stratifying patients into risk groups with distinct immune landscapes. Furthermore, PTK6 was identified as a driver of PAAD proliferation, migration, and invasion. Collectively, our study elucidates TME-driven mechanisms of PAAD metastasis, identifies prognostic and therapeutic targets, and provides a framework for precision intervention.

Indexed as

Carcinoma, Pancreatic DuctalNeoplasm MetastasisPancreatic NeoplasmsSingle-Cell AnalysisEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMacrophagesMaleMiddle AgedPrognosisTranscriptomeTumor MicroenvironmentMetastasisPAADPrognostic signatureTumor microenvironment

Identifiers

PMID41317293
PMCPMC12727787

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.