ArticleHereditas2025
Identification and functional characterization of key biomarkers in diffuse large B-cell lymphoma: emphasis on STYX as a prognostic marker and therapeutic target.
Article in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations prediction.BMC bioinformatics · 2025Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
Diffuse large B-cell lymphoma (DLBC) is the most common subtype of non-Hodgkin lymphoma, characterized by its aggressive nature and poor prognosis in advanced stages. Despite advances in treatment, the molecular mechanisms driving DLBC progression remain incompletely understood, necessitating the identification of novel biomarkers for diagnosis and prognosis. In this study, we analyzed two publicly available datasets (GSE32018 and GSE56315) from the Gene Expression Omnibus database (GEO) to identify overlapping differentially expressed genes (DEGs). Later on, a comprehensive in silico and in vitro methodology was adopted to decipher the role of identify DEGs in DLBC. DEGs analysis of GSE32018 and GSE56315 datasets identified five overlapping gene: SP3, CSNK1A1, STYX, SIRT5, and MGEA5. Expression validation using the GEPIA2 database confirmed the upregulation of SP3, CSNK1A1, STYX, and SIRT5, and the downregulation of MGEA5 in DLBC tissues compared to normal controls. Furthermore, mutational analysis revealed that CSNK1A1 was the only gene among these DEGs to exhibit mutations, with a 2.7% mutation frequency in DLBC patients. Methylation analysis highlighted a negative correlation between DEGs methylation levels and mRNA expression, while survival analysis identified high STYX expression as significantly associated with poorer overall survival in DLBC patients. Functional assays demonstrated that STYX knockdown in U2932 cells led to reduced cell proliferation, colony formation, and enhanced wound healing, indicating STYX's pivotal role in DLBC cell survival and migration. Additionally, gene enrichment analysis revealed the involvement of these DEGs in key biological processes, including intracellular trafficking and myeloid progenitor cell differentiation. These findings emphasize the potential of SP3, CSNK1A1, STYX, SIRT5, and MGEA5 as biomarkers and therapeutic targets in DLBC, particularly highlighting STYX as a promising prognostic marker and potential target for therapeutic intervention.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.