ArticleScientific reports2024
Characterization of metastasis-specific macrophages in colorectal cancer for prognosis prediction and immunometabolic remodeling.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed.
- Multiregional profiling revealsScience advances · 2026Article
- Machine learning integration of multi-omics data develops a sarcomatoid-related renal cell carcinoma score (SARS) for prognosis stratification and guiding therapy.Translational andrology and urology · 2026Article
- Proteomic profiling of colorectal liver metastases reveals histopathological response-specific molecular signatures of chemotherapy efficacy.Journal of translational medicine · 2026Article
- Article
- Prognostic value of neuro-related genes in colorectal cancer and their potential implications for immunotherapy.Journal of Cancer · 2026Article
- Colorectal cancer liver metastasis: immunosuppressive microenvironment, signaling pathways, and emerging therapeutic strategies.Frontiers in immunology · 2026Review
- Exploring macrophage polarization as a prognostic indicator for colorectal cancer: Unveiling the impact of metalloproteinase mutations.World journal of clinical cases · 2025Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
This study develops a prognostic model to predict metastasis and prognosis in colorectal cancer liver metastases by identifying distinct macrophage subsets. Using scRNA-seq data from primary colorectal cancer and liver metastases, we dissected the cellular landscape to find unique macrophage subpopulations, particularly EEF1G + macrophages, which were prevalent in liver metastases. The study leveraged data from GSE231559, TCGA, and GEO databases to construct an 8-gene risk model named EMGS, based on the EEF1G + macrophage gene signature. Patients were divided into high-risk and low-risk groups using the median EMGS score, with the high-risk group showing significantly worse survival. This group also demonstrated upregulated pathways associated with tumor progression, such as epithelial-mesenchymal transition and angiogenesis, and downregulated metabolic pathways. Moreover, the high-risk group presented an immunosuppressive microenvironment, with a higher TIDE score indicating lower effectiveness of immunotherapy. The study identifies potential drugs targeting the high-risk group, suggesting therapeutic avenues to improve survival. Conclusively, the EMGS score identifies colorectal cancer patients at high risk of liver metastases, highlighting the role of specific macrophage subsets in tumor progression and providing a basis for personalized treatment strategies.
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Registered trials
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