ArticleFrontiers in genetics2021
Identification of a 14-Gene Prognostic Signature for Diffuse Large B Cell Lymphoma (DLBCL).
Article in Frontiers in genetics, 2021. 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, 14 citations in OpenAlex.
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- Pan-cancer analysis identifies LMBR1L as a prognostic and immunological biomarker with validation in colorectal cancer.European journal of medical research · 2025Article
- Development of a mitochondria-related gene signature for prognostic assessment in diffuse large B cell lymphoma.Frontiers in oncology · 2025Article
- Article
- EBF1, MYO6 and CALR expression levels predict therapeutic response in diffuse large B-cell lymphomas.Frontiers in immunology · 2023Article
- Identification and Validation of a Prognostic Prediction Model in Diffuse Large B-Cell Lymphoma.Frontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although immunotherapy is a potential strategy to resist cancers, due to the inadequate acknowledge, this treatment is not always effective for diffuse large B cell lymphoma (DLBCL) patients. Based on the current situation, it is critical to systematically investigate the immune pattern. According to the result of univariate and multivariate cox proportional hazards, LASSO regression and Kaplan-Meier survival analysis on immune-related genes (IRGs), a prognostic signature, containing 14 IRGs (AQP9, LMBR1L, FGF20, TANK, CRP, ORM1, JAK1, BACH2, MTCP1, IFITM1, TNFSF10, FGF12, RFX5, and LAP3), was built. This model was validated by external data, and performed well. DLBCL patients were divided into low- and high-risk groups, according to risk scores from risk formula. The results of CIBERSORT showed that different immune status and infiltration pattern were observed in these two groups. Gene set enrichment analysis (GSEA) indicated 12 signaling pathways were significantly enriched in the high-risk group, such as natural killer cell-mediated cytotoxicity, toll-like receptor signaling pathway, and so on. In summary, 14 clinically significant IRGs were screened to build a risk score formula. This formula was an accurate tool to provide a certain basis for the treatment of DLBCL patients.
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