ArticleScientific reports2025
M2 macrophages and tumor cells engage in a metabolic feedback loop to drive HCC progression.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Image-Guided In Vivo Tracking of Splenocyte Dynamics Using Superparamagnetic Iron Oxide-Based Nanoparticles in a Rodent Model.ACS applied materials & interfaces · 2026Article
- HMGA2 promotes hepatocellular carcinoma progression by regulating tumor-associated macrophage via Notch1/CCL2 signaling.Molecular and cellular biochemistry · 2026Article
- Identification and validation of prognostic genes related to glycolysis and M2 macrophage in hepatocellular carcinoma: an integrated analysis of bulk RNA sequencing and single-cell RNA sequencing.Frontiers in immunology · 2026Article
- A Darwinian Perspective on Tumor Evolution.International journal of biological sciences · 2026Review
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Authors and funding
7 authors.
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Abstract
Hepatocellular carcinoma (HCC) represents a significant global health challenge due to its molecular heterogeneity and the immunosuppressive nature of its tumor microenvironment (TME). Tumor-associated macrophages (TAMs), particularly the M2-polarized subset, are crucial in HCC progression, contributing to immune evasion, angiogenesis, and metastasis. However, the mechanisms driving TAM reprogramming and their metabolic interactions within the TME remain poorly understood. In this study, we applied single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics to identify a novel metabolic-immune axis in HCC. Our findings revealed increased oxidative phosphorylation (OXPHOS) in tumor cells, which correlated with enhanced ribosomal activity in M2 macrophages, suggesting a metabolic coupling between the two. Tumor cells, under elevated OXPHOS, secrete factors that recruit macrophages and promote M2 polarization, thereby reinforcing immune suppression. Further analysis of The Cancer Genome Atlas (TCGA) dataset led to the development of a prognostic model based on OXPHOS-related genes, showing strong predictive power across multiple cohorts. These results suggest a novel OXPHOS-ribosome-M2 polarization axis and offer potential therapeutic targets for immunometabolic therapies in HCC.
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