ArticleInflammation2024
Integrated Single Cell Analysis Reveals An Atlas of Tumor Associated Macrophages in Hepatocellular Carcinoma.
Article in Inflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed.
- Single-Cell Transcriptomics Dissects the Molecular Mechanism by Which Macrophage Polarization Drives Hepatocellular Carcinoma Metastasis Through Crosstalk with Emt-Tumor Microenvironment.Digestive diseases and sciences · 2026Article
- APLP2 as a molecular link between immune regulation and bone metabolism in hepatocellular carcinoma: evidence from scRNA-seq and functional validation.Cancer cell international · 2026Article
- Chemotherapy-derived DAMPs drive reprogramming of tumor-associated macrophages toward a pro-inflammatory phenotype in hepatocellular carcinoma.Scientific reports · 2026Article
- LDLRJournal of clinical and translational hepatology · 2026Article
- Multi-omics analysis reveals that CAPG positive macrophages are key immunosuppressive drivers and prognostic determinants in the ferroptosis landscape of hepatocellular carcinoma.Discover oncology · 2026Article
- Integrative single-cell transcriptomic and multi-dimensional bioinformatic analysis reveals proliferation-associated gene expression signatures and cellular heterogeneity in hepatocellular carcinoma.Discover oncology · 2026Article
- Single-cell RNA sequencing and spatial transcriptomic analysis reveal a distinct population of G6PDFrontiers in immunology · 2026Article
- Rewiring tumor-associated macrophages in hepatocellular carcinoma.Frontiers in immunology · 2026Review
- The macrophage opera: from metabolic prolog to oncogenic crescendo in metabolic dysfunction-associated steatotic liver disease.Frontiers in medicine · 2026Review
- Single-cell analysis indicating CCR8 modulates CD8Scientific reports · 2025Article
- Prediction of prognostic biomarkers for hepatocellular carcinoma and immune microenvironment infiltration based on single-cell sequencing and RNA-Seq integration.Discover oncology · 2025Article
- Prognostic model for predicting recurrence-free survival in hepatocellular carcinoma using integrated analysis of single-cell RNA-sequencing and bulk RNA-sequencing.Oncology letters · 2025Article
- Bioinformatics Analysis of Tumor-Associated Macrophages in Hepatocellular Carcinoma and Establishment of a Survival Model Based on Transformer.International journal of molecular sciences · 2025Article
- Targeting tumor-associated macrophages to overcome immune checkpoint inhibitor resistance in hepatocellular carcinoma.Journal of experimental & clinical cancer research : CR · 2025Review
- Anti-Tumour Immunity Relies on Targeting Tissue Homeostasis Through Monocyte-Driven Responses Rather Than Direct Tumour Cytotoxicity.Liver international : official journal of the International Association for the Study of the Liver · 2025Article
- Chemokines: Orchestration of the Tumor Microenvironment and Control of Hepatocellular Carcinoma Progression.Cancer medicine · 2025Review
- Deep spatial sequencing revealing differential immune responses in human hepatocellular carcinoma.Frontiers in cell and developmental biology · 2025Article
- Multi-omics spatial characteristics of CD8Frontiers in immunology · 2025Article
- Emerging macrophage-based therapies for cancer: a review of preclinical and clinical advances.Frontiers in immunology · 2025Review
- Macrophage Polarization in the Tumor Microenvironment of Hepatocellular Carcinoma: From Mechanistic Insights to Translational Therapies.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC), one of the most prevalent cancers globally, is closely associated with tumor-associated macrophages (TAMs), including monocyte-derived macrophages and liver-resident Kupffer cells. Understanding TAM heterogeneity at the cellular level is crucial for developing effective HCC prevention and treatment strategies. In this study, we conducted an integrated single-cell analysis of four cohorts (GSE140228, GSE125449, GSE149614 and GSE156625) to elucidate the TAM landscape in HCC. We identified 284 gene markers, termed Panmyeloid markers, that characterize myeloid cells within this context. Our analysis distinguished six clusters of monocyte-derived macrophages (Macro1-Macro6) and four clusters of Kupffer cells (Kupffer1-Kupffer4). Notably, CXCL10 + macrophages and MT1G + Kupffer cells, predominantly located within tumor tissues, exhibited distinct functional characteristics relevant to HCC. We also explored cellular communication between TAMs and T cells, uncovering potential signaling pathways such as the CXCL10/CXCL11-CXCR3 and CXCL12-CXCR4 networks. These findings enhance our understanding of TAMs in HCC and open new avenues for targeted therapeutic interventions.
Indexed as
Identifiers
38668836What OpenQuestion holds
Registered trials
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.