Evidence map›Paper›PMID 40240899›Full record

ArticleWorld journal of surgical oncology2025

Deciphering the heterogeneity of epithelial cells in pancreatic ductal adenocarcinoma: implications for metastasis and immune evasion.

Jie Liu, Hui Li, Xiuyun Lin, Jiani Xiong, Guangfeng Wu, Lingyan Ding, Bin Lin

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Jie LiuDepartment of Hepatopancreatobiliary Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Hui LiDepartment of Hepatopancreatobiliary Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Xiuyun LinDepartment of Hepatopancreatobiliary Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Jiani XiongDepartment of Hepatopancreatobiliary Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Guangfeng WuDepartment of Hepatopancreatobiliary Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Lingyan DingDepartment of Hepatopancreatobiliary Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Bin LinDepartment of Orthodontics, Fujian Medical University Union Hospital, No. 29 of Xinquan Road, Gulou District, Fuzhou, 350001, China. linbinllb@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examines the cellular heterogeneity of epithelial cells within pancreatic ductal adenocarcinoma (PDAC) and their contributions to tumor progression, metastasis, and immunosuppressive interactions using single-cell RNA sequencing.

methodsSingle-cell RNA-sequencing data from two datasets (GSE154778 and GSE158356) were integrated using the Harmony algorithm, followed by quality control, clustering, and differential gene expression analysis. Distinct subpopulations of epithelial cells were identified, and their gene expression profiles were analyzed. To assess the malignancy of these subpopulations, single-cell copy number variation (CNV) analysis and trajectory analysis were conducted. Additionally, intercellular communication was examined using the CellChat platform.

resultsThe analysis revealed pronounced heterogeneity among PDAC epithelial cells, with specific subpopulations exhibiting distinct roles in tumor proliferation, extracellular matrix remodeling, and metastatic dissemination. Subpopulations 4 and 6 were characterized by increased CNV levels and a more malignant phenotype, suggesting an enhanced capacity for metastasis. Single-cell trajectory analysis, along with CellChat, mapped the temporal evolution of epithelial cells, identifying key regulatory genes such as DCBLD2 and JUN. A prognostic model incorporating five key genes, including KLF6, was developed and demonstrated strong predictive accuracy for patient outcomes. Notably, KLF6 emerged as a critical prognostic marker associated with immune modulation, particularly through interactions with M2 macrophages.

conclusionThe study highlights the pronounced heterogeneity of epithelial cells in PDAC and their distinct contributions to tumor progression, metastasis, and immune modulation. Through single-cell transcriptomic and CNV analyses, we identified epithelial subpopulations with varying malignant potentials and distinct interactions with the tumor microenvironment. Among these, KLF6 emerged as a key regulator associated with immune modulation and metastasis. Our findings emphasize the significance of epithelial cell heterogeneity in shaping pancreatic cancer progression. These insights provide a foundation for future investigations into novel prognostic markers and therapeutic strategies.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalEpithelial CellsImmune EvasionPancreatic NeoplasmsDNA Copy Number VariationsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKruppel-Like Factor 6PrognosisSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorKruppel-Like Factor 6Copy number variation (CNV)Epithelial cell heterogeneityImmune modulationMetastasisPancreatic cancerSingle-cell RNA sequencingTumor microenvironment

Identifiers

PMID40240899
PMCPMC12004766

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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.