Mechanisms of tumor-associated macrophages affecting the progression of hepatocellular carcinoma

Yuan, Yi; Wu, Dailin; Li, Jing; Huang, Dan; Zhao, Yan; Gao, Tianqi; Zhuang, Zhenjie; Cui, Ying; Zheng, Da-Yong; Tang, Ying

doi:10.3389/fphar.2023.1217400

Cited by 4 publications

(1 citation statement)

References 196 publications

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“…9 (36). Consequently, these macrophages play a role in various stages of both liver fibrosis and tumor progression (37).…”

Section: Discussionmentioning

confidence: 99%

Macrophages-Mediated Liver Fibrosis: A Bibliometric Analysis

Yao,

Wang,

Liu

et al. 2024

Hepat Mon

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Background: Macrophages play a significant role in both the development and regression of liver fibrosis, engaging in related pro-inflammatory and anti-inflammatory processes. In recent years, an increasing number of studies have elucidated the mechanisms by which macrophages influence liver fibrosis. Objectives: This bibliometric analysis aims to investigate the research trends in liver fibrosis regulation by macrophages through a systematic literature review. Methods: We conducted a search for literature, including research articles and reviews, using the keywords 'liver fibrosis and macrophages' and 'liver cirrhosis and macrophages' in the Web of Science database, covering the period from 2007 to 2023. We retrieved and analyzed publications on liver fibrosis mediated by macrophages from the Web of Science Core Collection database on October 8, 2023. Visualization analysis was performed using CreateSpace (version 6.1.R6), VOSviewer (version 1.6.19), and Scimago Graphica (version 1.0.34.0). Results: We identified a total of 1732 records in the WoSCC, of which 1664 papers were ultimately included in our analysis. China emerged as the country with the most significant number of publications, while Germany and the University of California San Diego stood out for their influence, with centralities of 0.41 and 0.14, respectively. Frank Tacke was identified as the most prolific author, contributing 49 papers. Hepatology was the journal with the highest number of publications and citations. The most frequently mentioned keywords in this field were liver fibrosis, expression, hepatic stellate cells, activation, inflammation, and macrophages. Conclusions: The study of macrophage-mediated liver fibrosis, particularly the mechanisms regulating the heterogeneity of hepatic macrophages, is a mature and promising research area. Macrophage-based therapies for liver fibrosis are anticipated to be crucial topics in the future. Bibliometric analysis offers valuable insights for future basic research directions and clinical practice.

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“…9 (36). Consequently, these macrophages play a role in various stages of both liver fibrosis and tumor progression (37).…”

Section: Discussionmentioning

confidence: 99%

Macrophages-Mediated Liver Fibrosis: A Bibliometric Analysis

Yao,

Wang,

Liu

et al. 2024

Hepat Mon

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A pancreatic cancer organoid incorporating macrophages reveals the correlation between the diversity of tumor-associated macrophages and cancer cell survival

Tabe,

Takeuchi,

Aoshima

et al. 2025

Biomaterials

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Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data

Zhu,

Gao,

Chen

et al. 2024

Preprint

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Cell population delineation and identification is an essential step in single-cell and spatial-omics studies. Spatial-omics technologies can simultaneously measure information from three complementary domains related to this task: expression levels of a panel of molecular biomarkers at single-cell resolution, relative positions of cells, and images of tissue sections, but existing computational methods for performing this task on single-cell spatial-omics datasets often relinquish information from one or more domains. The additional reliance on the availability of "atlas" training or reference datasets limits cell type discovery to well-defined but limited cell population labels, thus posing major challenges for using these methods in practice. Successful integration of all three domains presents an opportunity for uncovering cell populations that are functionally stratified by their spatial contexts at cellular and tissue levels: the key motivation for employing spatial-omics technologies in the first place. In this work, we introduce Cell Spatio- and Neighborhood-informed Annotation and Patterning (CellSNAP), a self-supervised computational method that learns a representation vector for each cell in tissue samples measured by spatial-omics technologies at the single-cell or finer resolution. The learned representation vector fuses information about the corresponding cell across all three aforementioned domains. By applying CellSNAP to datasets spanning both spatial proteomic and spatial transcriptomic modalities, and across different tissue types and disease settings, we show that CellSNAP markedly enhancesde novodiscovery of biologically relevant cell populations at fine granularity, beyond current approaches, by fully integrating cells' molecular profiles with cellular neighborhood and tissue image information.

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Mechanisms of tumor-associated macrophages affecting the progression of hepatocellular carcinoma

Cited by 4 publications

References 196 publications

Macrophages-Mediated Liver Fibrosis: A Bibliometric Analysis

Macrophages-Mediated Liver Fibrosis: A Bibliometric Analysis

A pancreatic cancer organoid incorporating macrophages reveals the correlation between the diversity of tumor-associated macrophages and cancer cell survival

Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data

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