ArticleDiscover oncology2026
Mapping research trends in immune cell metabolic reprogramming in breast cancer: a parallel dual-database bibliometric study.
Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImmune cell metabolism has emerged as a critical regulator of tumor progression and therapeutic response. In breast cancer, metabolic reprogramming of immune cells within the tumor microenvironment profoundly influences antitumor immunity, immune evasion, and resistance to immunotherapy. Metabolic pathways such as glycolysis, lactate metabolism, lipid metabolism, and ferroptosis have increasingly been implicated in immune dysfunction. However, a systematic overview of research trends in this rapidly evolving field remains lacking.
methodsA dual-database bibliometric analysis was conducted using the Web of Science Core Collection and Scopus to comprehensively characterize global research on immune cell metabolic reprogramming in breast cancer. Parallel analyses with cross-database consistency checks were applied to enhance robustness. Visualization tools, including CiteSpace, VOSviewer, and Bibliometrix, were used to evaluate publication trends, collaborative networks, thematic evolution, and citation dynamics.
resultsParallel analyses of two independent datasets were performed, including 618 publications from the Web of Science Core Collection and 862 publications from Scopus (1,480 records in total). The analysis revealed a clear transition from early investigations of general immune dysregulation to mechanistic studies focusing on immunometabolic pathways. Keywords such as “tumor microenvironment,” “T cell exhaustion,” “macrophage polarization,” “lactate metabolism,” and “ferroptosis” exhibited prominent citation bursts and stable clustering patterns, indicating their emergence as core research frontiers. China and the United States were identified as leading contributors, and consistent patterns across databases reinforced the credibility of these findings.
conclusionThis study delineates the evolving knowledge landscape of immune cell metabolic reprogramming in breast cancer. By highlighting convergent bibliometric signals, our findings identify ferroptosis and lactate-related metabolic programs as priority directions for future mechanistic investigations and combination immunotherapy strategies, providing a data-driven framework for hypothesis generation in breast cancer immunometabolism.
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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 Socratic graph.