ReviewFrontiers in endocrinology2025
Decoding metabolic dysfunction in cancer: foundations for early detection and personalized therapeutics.
Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global burden of cancer continues to rise despite significant advances in conventional oncology, underscoring the urgent need for novel approaches to prevention and early detection. While cancer has traditionally been regarded as a genetic disease, mounting evidence highlights the role of metabolic dysfunction as a precursor to malignant transformation. Altered glucose utilization, amino acid metabolism, lipid synthesis, mitochondrial function, and disrupted methylation pathways contribute to oxidative stress, epigenetic instability, immune evasion, and tumor initiation. This paper discusses key metabolic markers such as homocysteine, lactate dehydrogenase, HbA1c, insulin, cortisol, neutrophil-to-lymphocyte ratio, C-reactive protein, vitamin B12, parathyroid hormone, ionized calcium, estrogen and progesterone, and their potential as early indicators of cancer risk. Drawing on insights from integrative oncology practice, we highlight how metabolic markers can serve as both predictive and prognostic tools, complementing standard genetic and imaging diagnostics. Importantly, these markers should not be viewed in isolation but collectively, as they interact through overlapping biochemical pathways that foster tumorigenesis. Early identification of metabolic abnormalities may enable timely interventions to restore balance and mitigate cancer risk. However, cumulative and multicentric data are needed to validate their translational utility across diverse clinical settings.
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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.