ArticleFrontiers in genetics2021
Establishment and Validation of a Genetic Label Associated With M2 Macrophage Infiltration to Predict Survival in Patients With Colon Cancer and to Assist in Immunotherapy.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- miR-155-5p drives coordinated tumor and macrophage reprogramming across multiple cancer entities.BMC medicine · 2026Article
- Ubiquitin-Proteasome System-Related Prognostic Model and Immune Landscape in Glioblastoma.International journal of genomics · 2026Article
- Clinical significance of CD155 expression and correlation with immune cell infiltration in triple-negative breast cancer.Translational cancer research · 2025Article
- Stabilin-1 in Tumor-Associated Macrophages: A Potential Therapeutic Target in Cancer Immunotherapy.Biology · 2025Review
- CD8 + T-Cell-Related Genes: Deciphering Their Role in the Pancreatic Adenocarcinoma TME and Their Effect on Prognosis.Digestive diseases and sciences · 2025Article
- A tumour-associated macrophage-based signature for deciphering prognosis and immunotherapy response in prostate cancer.IET systems biology · 2024Article
- Characterization of macrophages in head and neck squamous cell carcinoma and development of MRG-based risk signature.Scientific reports · 2024Article
- Integrated pan-cancer analysis reveals the immunological and prognostic potential of RBFOX2 in human tumors.Frontiers in pharmacology · 2024Article
- Integration of single-cell and bulk RNA sequencing to establish a prognostic signature based on tumor-associated macrophages in colorectal cancer.BMC gastroenterology · 2023Article
- Mapping the tumor microenvironment in clear cell renal carcinoma by single-cell transcriptome analysis.Frontiers in genetics · 2023Article
- A novel immune-related gene signature correlated with serum IL33 expression in acute myeloid leukemia prognosis.American journal of translational research · 2023Article
- IMPDH1, a prognostic biomarker and immunotherapy target that correlates with tumor immune microenvironment in pan-cancer and hepatocellular carcinoma.Frontiers in immunology · 2022Article
- Necroptosis-Related LncRNAs Signature and Subtypes for Predicting Prognosis and Revealing the Immune Microenvironment in Breast Cancer.Frontiers in oncology · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColon cancer is a malignant tumor with high morbidity and mortality. Researchers have tried to interpret it from different perspectives and divided it into different subtypes to facilitate individualized treatment. With the rise in the use of immunotherapy, its value in the field of tumor has begun to emerge. From the perspective of immune infiltration, this study classified colon cancer according to the infiltration of M2 macrophages in patients with colon cancer and further explored the same.
methodsCibersort algorithm was used to analyze the level of immune cell infiltration in patients with colon cancer in The Cancer Genome Atlas (TCGA) database. Weighted gene co-expression network analysis (WGCNA), Consensus Clustering analysis, Lasso analysis, and univariate Kaplan-Meier analysis were used to screen and verify the hub genes associated with M2 macrophages. Principal component analysis (PCA) was used to establish the M2 macrophage-related score (M2I Score). The correlation between M2I Score and somatic cell variation and microsatellite instability (MSI) were analyzed. Furthermore, the correlation between M2 macrophage score and differences in immunotherapy sensitivity was also explored.
resultsM2 macrophage infiltration was associated with poor prognosis. Four hub genes (ANKS4B, CTSD, TIMP1, and ZNF703) were identified as the progression-related genes associated with M2 macrophages. A stable and accurate M2I Score for M2 macrophages used in colon adenocarcinoma was determined based on four hub genes. The M2I Score was positively correlated with the tumor mutation load (TMB). The M2I Score of the group with high instability of microsatellites was higher than that of the group with low instability of microsatellites and microsatellite-stable group. Combined with the Cancer Immunome Atlas database, we concluded that patients with high M2I Scores were more sensitive to programmed cell death protein 1 (PD-1) inhibitors and PD-1 inhibitors combined with cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) inhibitors. The low-rating group may have better efficacy without immune checkpoint inhibitors or with CTLA4 inhibitors alone.
conclusionFour prognostic hub genes associated with M2 macrophages were screened to establish the M2I Score. Patients were divided into two subgroups: high M2I Score group and low M2I Score group. TMB, MSI, and sensitivity to immunotherapy were higher in the high-rated group. PD-1 inhibitors or PD-1 combined with CTLA-4 inhibitors are preferred for patients in the high-rated group who are more sensitive to immunotherapy.
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