SynthesisFrontiers in immunology2025
LDH and glycolytic activity as predictors of immunotherapy response in gastric cancer: a systematic review and meta-analysis.
Synthesis 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 7 papers.
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Who cites it
7 citing papers in PubMed.
- Immune-inflammatory-fibrinogen score as a novel prognostic biomarker in patients with gastric cancer undergoing radical gastrectomy: a multicenter study.World journal of surgical oncology · 2026Trial
- Analysis of the role of BAP31-related exosomal miRNAs as potential prognostic biomarkers for gastric cancer.Functional & integrative genomics · 2026Article
- The evolving landscape of the Warburg effect in gastric cancer: From molecular mechanisms to targeted therapy.Clinical and translational medicine · 2026Review
- Expression, prognostic value and function of LMBR1L in gastric cancer.Molecular genetics and genomics : MGG · 2026Article
- Lactylation as a metabolic-epigenetic switch in cancer: dual roles in cell death resistance and therapeutic vulnerability.Cell death & disease · 2026Review
- Peripheral blood biomarkers in PD-1/PD-L1 immunotherapy: distinguishing predictive from prognostic biomarkers.Frontiers in immunology · 2026Review
- The role of peripheral blood cell analysis-derived inflammatory parameters in predicting malignant duodenal stenosis.BMC gastroenterology · 2025Article
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Authors and funding
11 authors.
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Abstract
Background: Immune checkpoint inhibitors (ICIs) have transformed gastric cancer (GC) treatment, but response heterogeneity necessitates reliable prognostic biomarkers. This meta-analysis investigates the predictive value of metabolic (LDH, glycolytic activity) and inflammatory markers (NLR, PLR, LMR) in GC patients receiving ICIs. Methods: We systematically analyzed 17 studies (n=3,842) from major databases through March 2024. Pooled hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS) were calculated using random-effects models, with subgroup analyses by treatment type (monotherapy/combination). Study quality was assessed via Newcastle-Ottawa Scale. Results: Elevated LDH significantly predicted poorer OS (HR=2.01, 95%CI:1.72-2.34) and PFS (HR=2.23, 95%CI:1.29-3.66), with minimal heterogeneity (I²=0%). Similarly, high NLR (HR=1.73) and PLR (HR=1.65) correlated with worse outcomes, while elevated LMR showed protection (HR=0.73). These associations remained consistent across treatment modalities and geographic regions (all Asian studies). Conclusions: LDH and inflammatory markers are robust, clinically accessible prognostic biomarkers in GC immunotherapy. Their validation enables improved risk stratification and supports development of combination strategies targeting metabolic-immune crosstalk to enhance ICI efficacy.
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