ArticleFrontiers in oncology2022
Plasma Metabolites Forecast Occurrence and Prognosis for Patients With Diffuse Large B-Cell Lymphoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Metabolic vulnerabilities and therapeutic opportunities in diffuse large B-cell lymphoma.Oncogenesis · 2026Review
- Review
- Article
- Dual epigenetic and nuclear export inhibition by chidamide and selinexor in high grade B-cell lymphomas via survivin and PI3K/AKT inhibition.Clinical epigenetics · 2026Article
- Integrative proteomic and metabolomic analysis reveals that ouabain inhibits DLBCL proliferation by reprogramming arginine-driven metabolic networks.Frontiers in pharmacology · 2026Article
- Ouabain-mediated IGF2BP2-GLS/NOS3 axis affects arginine metabolism in diffuse large B-cell lymphoma.European journal of medical research · 2025Article
- Review
- Article
- Single-cell and spatial transcriptomics reveal a high glycolysis B cell and tumor-associated macrophages cluster correlated with poor prognosis and exhausted immune microenvironment in diffuse large B-cell lymphoma.Biomarker research · 2024Article
- Metabolomic biomarkers in liquid biopsy: accurate cancer diagnosis and prognosis monitoring.Frontiers in oncology · 2024Review
- The Metabolism and Immune Environment in Diffuse Large B-Cell Lymphoma.Metabolites · 2023Review
- Metabolomics: A New Era in the Diagnosis or Prognosis of B-Cell Non-Hodgkin's Lymphoma.Diagnostics (Basel, Switzerland) · 2023Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin's lymphoma with considerable heterogeneity and different clinical prognosis. However, plasma metabomics used to forecast occurrence and prognosis of DLBCL are rarely addressed. Method: A total of 65 volunteers including 22 healthy controls (Ctrl), 25 DLBCL patients newly diagnosed (ND), and 18 DLBCL patients achieving complete remission (CR) were enrolled. A gas chromatography mass spectrometry-based untargeted plasma metabolomics analysis was performed. Results: Multivariate statistical analysis displayed distinct metabolic features among Crtl, ND, and CR groups. Surprisingly, metabolic profiles of newly diagnosed DLBCL patients undergoing different prognosis showed clear and distinctive clustering. Based on the candidate metabolic biomarkers (glucose and aspartate) and clinical indicators (lymphocyte, red blood count, and hemoglobin), a distinct diagnostic equation was established showing improved diagnostic performance with an area under curve of 0.936. The enrichment of citric acid cycle, deficiency of branched chain amino acid, methionine, and cysteine in newly diagnosed DLBCL patients was closely associated with poor prognosis. In addition, we found that malate and 2-hydroxy-2-methylbutyric acid were positively correlated with the baseline tumor metabolic parameters (metabolically active tumor volume and total lesion glycolysis), and the higher abundance of plasma malate, the poorer survival. Conclusion: Our preliminary data suggested plasma metabolomics study was informative to characterize the metabolic phenotypes and forecast occurrence and prognosis of DLBCL. Malate was identified as an unfavorable metabolic biomarker for prognosis-prediction of DLBCL, which provided a new insight on risk-stratification and therapeutic targets of DLBCL. More studies to confirm these associations and investigate potential mechanisms are in the process.
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