Evidence map›Paper›PMID 39118300›Full record

ArticleClinical and translational medicine2024

Single-cell sequencing combined with spatial transcriptomics reveals that the IRF7 gene in M1 macrophages inhibits the occurrence of pancreatic cancer by regulating lipid metabolism-related mechanisms.

Ting Zhan, Yanli Zou, Zheng Han, XiaoRong Tian, Mengge Chen, Jiaxi Liu, Xiulin Yang, Qingxi Zhu, Meng Liu, Wei Chen and 5 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. 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

15 authors.

Ting ZhanDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Yanli ZouDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Zheng HanDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
XiaoRong TianDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Mengge ChenDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Jiaxi LiuDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Xiulin YangDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Qingxi ZhuDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Meng LiuDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Wei ChenDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Mingtao ChenDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Xiaodong HuangDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Jie TanDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Weijie LiuDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.
Xia TianDepartment of Gastroenterology, WuHan Third Hospital (Tongren Hospital of WuHan University), Wuhan, China.ORCID 0000-0003-0733-0697

Funding

Wuhan Health and Family Planning Commission Medical Research Project WX20M01Wuhan Medical Research and Health Development Project WX23Z20Wuhan Science and Technology Bureau Project 202202080102055
6 · The paper itself

Abstract

aimThe main focus of this study is to explore the molecular mechanism of IRF7 regulation on RPS18 transcription in M1-type macrophages in pancreatic adenocarcinoma (PAAD) tissue, as well as the transfer of RPS18 by IRF7 via exosomes to PAAD cells and the regulation of ILF3 expression.

methodsBy utilising single-cell RNA sequencing (scRNA-seq) data and spatial transcriptomics (ST) data from the Gene Expression Omnibus database, we identified distinct cell types with significant expression differences in PAAD tissue. Among these cell types, we identified those closely associated with lipid metabolism. The differentially expressed genes within these cell types were analysed, and target genes relevant to prognosis were identified. Flow cytometry was employed to assess the expression levels of target genes in M1 and M2 macrophages. Cell lines with target gene knockout were constructed using CRISPR/Cas9 editing technology, and cell lines with target gene knockdown and overexpression were established using lentiviral vectors. Additionally, a co-culture model of exosomes derived from M1 macrophages with PAAD cells was developed. The impact of M1 macrophage-derived exosomes on the lipid metabolism of PAAD cells in the model was evaluated through metabolomics analysis. The effects of M1 macrophage-derived exosomes on the viability, proliferation, division, migration and apoptosis of PAAD cells were assessed using MTT assay, flow cytometry, EdU assay, wound healing assay, Transwell assay and TUNEL staining. Furthermore, a mouse PAAD orthotopic implantation model was established, and bioluminescence imaging was utilised to assess the influence of M1 macrophage-derived exosomes on the intratumoural formation capacity of PAAD cells, as well as measuring tumour weight and volume. The expression of proliferation-associated proteins in tumour tissues was examined using immunohistochemistry.

resultsThrough combined analysis of scRNA-seq and ST technologies, we discovered a close association between M1 macrophages in PAAD samples and lipid metabolism signals, as well as a negative correlation between M1 macrophages and cancer cells. The construction of a prognostic risk score model identified RPS18 and IRF7 as two prognostically relevant genes in M1 macrophages, exhibiting negative and positive correlations, respectively. Mechanistically, it was found that IRF7 in M1 macrophages can inhibit the transcription of RPS18, reducing the transfer of RPS18 to PAAD cells via exosomes, consequently affecting the expression of ILF3 in PAAD cells. IRF7/RPS18 in M1 macrophages can also suppress lipid metabolism, cell viability, proliferation, migration, invasion and intratumoural formation capacity of PAAD cells, while promoting cell apoptosis.

conclusionOverexpression of IRF7 in M1 macrophages may inhibit RPS18 transcription, reduce the transfer of RPS18 from M1 macrophage-derived exosomes to PAAD cells, thereby suppressing ILF3 expression in PAAD cells, inhibiting the lipid metabolism pathway, and curtailing the viability, proliferation, migration, invasion of PAAD cells, as well as enhancing cell apoptosis, ultimately inhibiting tumour formation in PAAD cells in vivo. Targeting IRF7/RPS18 in M1 macrophages could represent a promising immunotherapeutic approach for PAAD in the future.

Indexed as

Interferon Regulatory Factor-7Lipid MetabolismMacrophagesPancreatic NeoplasmsSingle-Cell AnalysisAnimalsCell Line, TumorHumansMiceInterferon Regulatory Factor-7IRF7 protein, humanIrf7 protein, mouseexosomesILF3IRF7M1 macrophagespancreatic adenocarcinomaRPS18scRNA‐seqspatial transcriptomics

Identifiers

PMID39118300
PMCPMC11310283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.