ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026
Exploring potential biomarkers of diffuse large B-cell lymphoma through multi-dimensional data.
Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundDiffuse large B-cell lymphoma (DLBCL) is a clinically and molecularly heterogeneous malignancy with variable outcomes. Identification of reliable biomarkers is critical for risk assessment and targeted therapy.
methodsWe conducted a two-sample Mendelian randomization (MR) analysis to systematically evaluate the causal effects of 4907 plasma proteins on DLBCL. Transcriptomic data were integrated to screen proteins with transcriptional relevance. Bayesian co-localization and reverse MR analyses were applied to assess shared genetic variants and causal direction. Survival analyses were used to evaluate the prognostic significance of the identified biomarkers across independent cohorts.
resultsFifty-two plasma proteins were identified as risk factors for DLBCL, of which six (GOLM1, ISOC1, MTHFD1, PPIL1, RACGAP1, and WDR5) demonstrated robust associations at both protein and transcriptional levels. No evidence of reverse causality was observed, and co-localization analyses did not support shared causal variants. Among the six biomarkers, MTHFD1, PPIL1, and WDR5 showed consistent associations with poor prognosis across cohorts.
conclusionThis study identified novel biomarkers at both protein and transcriptional levels, offering valuable insights for risk assessment and early prognosis prediction in DLBCL.
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