Evidence map›Paper›PMID 41107877›Full record

ReviewJournal of translational medicine2025

Metabolic and immune crosstalk between cancer-associated fibroblasts and pancreatic cancer cells.

Qiyao Zhang, Zhen Cao, Shangcheng Yan, Bingrong Chen, Hao Wu, Hongtao Cao, Chen Lin, Ziwen Liu

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. A Single-Cell Atlas of Uterine Carcinosarcoma from Diverse Ancestries.bioRxiv : the preprint server for biology · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. 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

8 authors.

Qiyao Zhang *Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
Zhen Cao *Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
Shangcheng YanDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
Bingrong ChenDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
Hao WuDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
Hongtao CaoDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
Chen LinDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China. linchen0818@sina.com.
Ziwen LiuDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China. liuziwen@pumch.cn.ORCID 0000-0003-1574-8460

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) 2023-I2M-2-002Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) No.2021-I2M-1-002National High Level Hospital Clinical Research Funding 2022-PUMCH-B-004National High Level Hospital Clinical Research Funding 2022-PUMCH-D-001National Nature Science Foundation of China 81572459National Nature Science Foundation of China Nos. 82172727Nature Science Foundation of Beijing Nos.7202164
6 · The paper itself

Abstract

Pancreatic cancer, specifically pancreatic ductal adenocarcinoma (PDAC), is notorious for its aggressive nature and dismal prognosis, ranking as a leading cause of cancer-related mortality worldwide. Despite advancements in surgical techniques, chemotherapies, and novel therapeutic approaches, the overall survival rates remain bleak, primarily due to the complex and dynamic tumor microenvironment (TME) which fosters cancer progression and therapeutic resistance. Central to the TME are cancer-associated fibroblasts (CAFs), which exhibit significant heterogeneity and play multifaceted roles in tumor progression, ranging from remodeling the extracellular matrix to modulating immune responses. Recent breakthroughs in single-cell sequencing and spatial omics have unraveled the diverse functional states and spatial organization of various cell types within the TME, including distinct subtypes of CAFs which differ vastly in their influence on pancreatic cancer pathophysiology. This review delves into the intricate interactions between CAFs and pancreatic cancer cells, highlighting how metabolic reprogramming and immune regulation by CAFs contribute to the high malignancy of PDAC. By integrating single-cell and spatial resolution data, we offer new insights into the metabolic crosstalk and immune landscape remodeling driven by CAFs, establishing a foundation for targeting these stromal interactions in therapeutic strategies.

Indexed as

Cancer-Associated FibroblastsPancreatic NeoplasmsAnimalsCarcinoma, Pancreatic DuctalHumansTumor MicroenvironmentCAFsImmuneMetabolicPDACTreatment strategies

Identifiers

PMID41107877
PMCPMC12535068

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.