ReviewFrontiers in immunology2025
Metabolic-immune axis in the tumor microenvironment: a new strategy for prognostic assessment and precision therapy in DLBCL and FL.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- TRIM28 facilitates diffuse large B-cell lymphoma progression by inducing glycolytic reprogramming through the E2F1/PKM2 axis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- The contribution of phenolic endocrine-disrupting chemicals to breast cancer risk: A comprehensive bioinformatics analysis.Scientific reports · 2026Article
- Pretreatment TyG-BMI predicts CD19 CAR-T persistence and prognosis in diffuse large B-cell lymphoma.Frontiers in oncology · 2026Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse large B-cell lymphoma and follicular lymphoma exhibit complex metabolic and immune microenvironments that influence disease progression and treatment response. Metabolic reprogramming, including glycolysis, amino acid, and lipid metabolism, supports tumor growth while suppressing anti-tumor immunity. Immune components such as tumor-infiltrating lymphocytes and checkpoint molecules (PD-L1, LAG-3, TIM-3) further modulate prognosis. Elevated tumor metabolic volume and glycolytic activity correlate with aggressive disease and poor outcomes. Conversely, high TIL density often predicts better responses. Integrating metabolic and immune biomarkers enhances risk stratification and therapeutic strategies, highlighting the potential for combined metabolic inhibitors and immunotherapies to improve precision medicine in lymphoma.
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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 OpenQuestion graph.