Related Experiment Video
Updated: Feb 26, 2026
Enhancing Tumor Content through Tumor Macrodissection
Published on: February 12, 2022
Exploring potential biomarkers of diffuse large B-cell lymphoma through multi-dimensional data
Chi Li1, Xinli Han1, Xiaoshuang Hu1
1Department of Pediatric Hematology Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Background:
Diffuse 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.
Methods:
We 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.
Results:
Fifty-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.
Conclusion:
This study identified novel biomarkers at both protein and transcriptional levels, offering valuable insights for risk assessment and early prognosis prediction in DLBCL.
