ArticleOncotarget2017
Distribution pattern of tumor associated macrophages predicts the prognosis of gastric cancer.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Fluorine-19 MRI signal phenotype in solid tumor following in situ perfluorocarbon cell labeling.Scientific reports · 2026Article
- Protumorigenic Responses of CEACAM6 in Helicobacter pylori-Infected Gastric Cancer Cells.Journal of cellular and molecular medicine · 2026Article
- Research trends and emerging frontiers of tumor-associated macrophages in gastric cancer: a bibliometric analysis.Discover oncology · 2025Article
- Volume of hepatoid component and intratumor M2 macrophages predict prognosis in patients with hepatoid adenocarcinoma of the stomach.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025Article
- Role of Tumor-Associated Macrophages in Cervical Cancer: Integrating Classical Perspectives with Recent Technological Advances.Life (Basel, Switzerland) · 2024Review
- Development and verification of a manganese metabolism- and immune-related genes signature for prediction of prognosis and immune landscape in gastric cancer.Frontiers in immunology · 2024Article
- Prognostic Impact of Tumor-Associated Macrophage-Related Markers in Patients with Adenocarcinoma of the Lung.Annals of surgical oncology · 2023Article
- Integrated bioinformatics analysis for conducting a prognostic model and identifying immunotherapeutic targets in gastric cancer.BMC bioinformatics · 2023Article
- A Novel Fatty Acid Metabolism-Associated Risk Model for Prognosis Prediction in Acute Myeloid Leukaemia.Current oncology (Toronto, Ont.) · 2023Article
- Cancer-associated fibroblast-secreted IGFBP7 promotes gastric cancer by enhancing tumor associated macrophage infiltration via FGF2/FGFR1/PI3K/AKT axis.Cell death discovery · 2023Article
- Impacts and mechanisms of metabolic reprogramming of tumor microenvironment for immunotherapy in gastric cancer.Cell death & disease · 2022Review
- Tumor-Associated Macrophages in Hepatocellular Carcinoma Pathogenesis, Prognosis and Therapy.Cancers · 2022Review
- Macrophages: shapes and functions.Chemtexts · 2022Article
- Lipid-Laden Macrophages and Inflammation in AtherosclerosiFrontiers in cardiovascular medicine · 2022Review
- The cross talk between gastric cancer stem cells and the immune microenvironment: a tumor-promoting factor.Stem cell research & therapy · 2021Review
- New insights into M1/M2 macrophages: key modulators in cancer progression.Cancer cell international · 2021Review
- The Distinct Impact of TAM Infiltration on the Prognosis of Patients With Cardia and Non-Cardia Gastric Cancer and Its Association WithFrontiers in oncology · 2021Article
- A Comparison of Methods for Studying the Tumor Microenvironment's Spatial Heterogeneity in Digital Pathology Specimens.Journal of pathology informatics · 2021Article
- Relationship Between PTEN and Angiogenesis of Esophageal Squamous Cell Carcinoma and the Underlying Mechanism.Frontiers in oncology · 2021Article
- Directionality of Macrophages Movement in Tumour Invasion: A Multiscale Moving-Boundary Approach.Bulletin of mathematical biology · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAs mayor biomarkers in tumor microenvironment (TME), tumor associated macrophages (TAMs) of gastric cancer (GC) still needs further studies in terms of the number and distribution pattern.
methodsHerein, tissue microarrays (TMA) incorporating 494 GC surgical samples in duplicate were stained for TAMs infiltration analysis. TAMs number was counted according to the locations, including infiltrating macrophages in cancer nest (MC), in invasive front (MF) and in stroma (MS). Correlations between TAMs number, distribution pattern and clinic-pathological features and survival analyses were performed.
resultsInfiltrating macrophages number in GC tissues was much higher than that in peritumoral tissues. TAMs number was not significantly correlated with the overall survival (OS). TAMs distribution pattern could be categorized into MC or MF/MS dominant pattern, and correlated with histological grade (
conclusionsTAMs distribution pattern could be an independent prognostic factor for the OS of GC patients, and patients with MF/MS dominant pattern had worse outcomes.
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