Evidence map›Paper›PMID 39574475›Full record

ArticleOncology research2024

Identification of M2 macrophage-related genes for establishing a prognostic model in pancreatic cancer:

Zhen Wang, Jun Fu, Saisai Zhu, Haodong Tang, Kui Shi, Jihua Yang, Meng Wang, Mengge Wu, Dunfeng Qi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology research, 2024. 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. Frontiers in immunology · 2026
    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

9 authors.

Zhen WangDepartment of Hepatopancreatobiliary Surgery, XuZhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou, 221000, China.
Jun FuDepartment of Hepatopancreatobiliary Surgery, XuZhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou, 221000, China.
Saisai ZhuDepartment of Hepatopancreatobiliary Surgery, XuZhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou, 221000, China.
Haodong TangDepartment of Surgery, School of Medicine, Southeast University, Nanjing, 210000, China.
Kui ShiDepartment of Hepatopancreatobiliary Surgery, XuZhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou, 221000, China.
Jihua YangDepartment of Oncology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Meng WangDepartment of Oncology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Mengge WuDepartment of Hepatopancreatobiliary Surgery, XuZhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou, 221000, China.
Dunfeng QiDepartment of Hepatopancreatobiliary Surgery, XuZhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou, 221000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pancreatic ductal adenocarcinoma (PDAC) has a rich and complex tumor immune microenvironment (TIME). M2 macrophages are among the most extensively infiltrated immune cells in the TIME and are necessary for the growth and migration of cancers. However, the mechanisms and targets mediating M2 macrophage infiltration in pancreatic cancer remain elusive. Methods: The M2 macrophage infiltration score of patients was assessed using the xCell algorithm. Using weighted gene co-expression network analysis (WGCNA), module genes associated with M2 macrophages were identified, and a predictive model was designed. The variations in immunological cell patterns, cancer mutations, and enrichment pathways between the cohorts with the high- and low-risk were examined. Additionally, the expression of FCGR3A and RNASE2, as well as their association with M2 macrophages were evaluated using the HPA, TNMplot, and GEPIA2 databases and verified by tissue immunofluorescence staining. Moreover, Results: The prognosis of patients in high-risk and low-risk groups was successfully distinguished using a prognostic risk score model of M2 macrophage-related genes ( Conclusions: In this study, an M2 macrophage-related pancreatic cancer risk score model was established, and found that FCGR3A was correlated with tumor formation, metastasis, and M2 macrophage infiltration.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalMacrophagesPancreatic NeoplasmsReceptors, IgGTumor MicroenvironmentCell Line, TumorCell ProliferationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorFCGR3A protein, humanReceptors, IgGCIBERSORTImmunizationM2 macrophagesPancreatic ductal adenocarcinoma (PDAC)PrognosisWeighted gene co-expression network analysis (WGCNA)

Identifiers

PMID39574475
PMCPMC11576954

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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.