ArticleFrontiers in immunology2025
Targeting asparagine potentiates anti-PD-L1 immunotherapy in gastric cancer by enhancing CD8
Article 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
- Amino Acid Metabolic Enzymes in Gastric Cancer: Roles and Mechanisms in Tumorigenesis and Progression.Oncology research · 2026Review
- Analysis of Plasma Biomarkers and Potential Pathogenesis in Children withInfection and drug resistance · 2026Article
- Integrated analysis of cell-in-cell related genes and immune microenvironment in heart failure.Frontiers in cell and developmental biology · 2026Article
- Marine-derived L-asparaginase: unlocking marine power in anti-tumor therapeutics.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Immunotherapy efficacy in gastric cancer (GC) is often constrained by the tumor microenvironment (TME), which is profoundly influenced by aberrant metabolism. Asparagine, an amino acid critical for neoplastic proliferation, also modulates CD8+ T cell metabolic programming. We investigated the impact of targeting asparagine on the GC immune microenvironment and its potential to synergize with anti-PD-L1 therapy. Methods: The therapeutic efficacy of asparagine targeting was evaluated in GC tumor models. CD8+ T cell populations within the TME were analyzed by flow cytometry, while cytokine and chemokine levels (IFN-γ, GZMB, CXCL9, CXCL10) were quantified by ELISA. The effects on CD8+ T cell activation and antitumor function were assessed in vitro and in vivo. Synergistic efficacy with anti-PD-L1 therapy was evaluated in GC models, and the dependency on CD8+ T cells was confirmed via antibody-mediated depletion experiments. Results: Targeting asparagine inhibited GC growth in vitro and in vivo, implicating immune system involvement. Mechanistically, asparagine targeting significantly increased the proportion of CD8+ T cells within the TME and upregulated the expression of IFN-γ, GZMB, CXCL9, and CXCL10. Furthermore, combining asparagine targeting with anti-PD-L1 therapy produced synergistic antitumor activity. This combined therapeutic effect was significantly attenuated by the depletion of CD8+ T cells. Discussion: Our findings indicate that targeting asparagine promotes CD8+ T cell activation and infiltration, thereby remodeling the GC immune microenvironment to enhance host antitumor immunity. The combination of asparagine targeting with anti-PD-L1 therapy elicits potent, synergistic antitumor effects that are demonstrably dependent on CD8+ T cells. This study provides a strong rationale for targeting asparagine metabolism as a novel strategy to improve immunotherapeutic outcomes in GC.
Indexed as
Identifiers
What OpenQuestion holds
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.