ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1579184

This article is part of the Research TopicPancreatic, Lung, and Stomach Cancer Awareness MonthView all 9 articles

Integration of Single-cell RNA and Bulk RNA sequencing revealed malignant ductal cell heterogeneity and prognosis signatures in pancreatic cancer

Provisionally accepted
Haiyang  DuHaiyang Du1Gao  SiGao Si2Jiqing  SiJiqing Si3Xuejie  SongXuejie Song4*Fuchun  SiFuchun Si1*
  • 1Henan University of Chinese Medicine, Zhengzhou, China
  • 2Department of Ophthalmology, Peking University Third Hospital, Beijing, China
  • 3Henan Hospital of TCM, The Second Affiliated Hospital of Henan University of traditional Chinese Medicine, Zhengzhou, Henan Province, China
  • 4Traditional Chinese Medicine (ZhongJing) school, Henan University of Chinese Medicine, Zhengzhou, Henan Province, China

The final, formatted version of the article will be published soon.

Pancreatic cancer is a highly malignant digestive system tumor with a poor prognosis. Despite recent advances in diagnosis and treatment, the overall survival rate remains extremely low. Understanding the early diagnostic markers and mechanisms of pancreatic cancer is crucial for developing effective treatment strategies. We collected 74 single-cell RNA sequencing (scRNA-seq) samples and identified and characterized the main cell types and their distribution characteristics through unsupervised clustering and gene expression analysis. Large-scale chromosomal copy number variation analysis was used to distinguish malignant from non-malignant ductal cells. Using non-negative matrix factorization analysis, we identified a gene set significantly associated with staging, and combined with TCGA data and machine learning techniques, identified three prognosis-related genes (ANLN, NT5E, and CTSV), which were validated through two independent datasets. High expression of these genes was associated with poorer prognosis and significantly elevated levels of M0 macrophages. Pyscenic and CellPhoneDB analysis revealed that high-expression malignant ductal cells interact with M0 macrophages through CXCL14-CXCR4 and IL1RAP-PTPRF, with SPI1 being an upstream transcription factor of IL1RAP. ANLN, NT5E, and CTSV play crucial roles as prognostic genes in PAC and may provide new targets for treatment strategies. The interaction between CXCL14-CXCR4 in high-expression malignant ductal cells and M0 macrophages emphasizes its potential impact on the tumor microenvironment. In vitro experiments showed that CTSV knockdown could significantly inhibit the proliferation and migration of PAC cells. This finding provides important clues for further research into the pathogenesis of PAC and the development of new treatment strategies.

Keywords: Pancreatic Cancer, Tumor Microenvironment, CTSV, Macrophages, CXCL14-CXCR4

Received: 18 Feb 2025; Accepted: 02 Jun 2025.

Copyright: © 2025 Du, Si, Si, Song and Si. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xuejie Song, Traditional Chinese Medicine (ZhongJing) school, Henan University of Chinese Medicine, Zhengzhou, Henan Province, China
Fuchun Si, Henan University of Chinese Medicine, Zhengzhou, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.