ReviewFrontiers in pharmacology2025
Spatial profiling of the metabolism-immune axis in ovarian cancer.
Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Regulation of PD-1PD-L1 Immune Checkpoints by Gut Microbiota Metabolites and Their Clinical Translational Research: A Review.Immunity, inflammation and disease · 2026Review
- Deciphering mitochondrial metabolic vulnerabilities in ovarian clear cell carcinoma with mass spectrometry-based clinical proteomics.Expert review of proteomicsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer remains a lethal disease marked by profound therapeutic resistance, largely orchestrated by a complex tumor microenvironment (TME) governed by metabolism-immune crosstalk. This review focuses on the spatiotemporal dynamics of the metabolism-immune axis in ovarian cancer progression and resistance, with particular emphasis on how cutting-edge spatial multi-omics technologies reveal previously unrecognized layers of intratumoral heterogeneity and geographic organization that cannot be captured by bulk analyses. Using tools such as MALDI-MSI, GeoMx DSP, and CODEX, these approaches enable high-resolution, spatially resolved mapping of metabolite gradients (e.g., lactate, lipids, kynurenine), immune cell niches, and immunometabolic checkpoints within distinct tumor regions. Such spatial profiling uncovers how metabolic reprogramming-dysregulated glycolysis, lipid metabolism, and glutaminolysis-drives localized immunosuppression and chemoresistance through compartment-specific interactions among tumor cells, cancer-associated fibroblasts (CAFs), adipocytes, and immune populations. These geographically defined insights reshape our understanding of therapeutic failure and highlight precise, location-aware vulnerabilities. Accordingly, we propose spatially informed therapeutic strategies, including regional glycolysis inhibition, glutaminase blockade, lipid pathway interference, and their rational combination with immune checkpoint inhibitors (ICIs), to disrupt pathogenic metabolic-immune circuits and improve immunotherapy outcomes. Looking ahead, advances in vivo spatial imaging, gut microbiota modulation, and AI-powered integrative multi-omics frameworks promise truly personalized treatment of ovarian cancer.
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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.