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ABSTRACT: Background
Metabolic reprogramming, especially lipid metabolism, is crucial in cancer progression and treatment resistance. Apolipoproteins are crucial targets for research as they regulate autophagy, oxidative stress, and chemoresistance. A systematic bibliometric and bioinformatics approach is necessary to identify trends and elucidate the molecular mechanisms linking apolipoproteins to cancer.Methods
A systematic bibliometric analysis was conducted using the Web of Science Core Collection and PubMed. VOSviewer, CiteSpace, and the Bibliometrix R package were employed to analyze and visualize co-authorship networks, keyword trends, and other key metrics. Bioinformatics analysis integrated protein-protein interaction network construction, hub gene identification, and enrich
SUBMITTER: Tian D
PROVIDER: S-EPMC12630503 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature