ArticlePeerJ2025
Expression of the IL-18-related gene PTX3 correlates with clinicopathological features and prognosis in glioma patients.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Glioma, a highly aggressive brain tumor, presents significant challenges in prognosis and treatment. This study investigates the role of PTX3 expression in glioma and its correlation with patient outcomes, addressing a gap in current research regarding its molecular mechanisms. Materials and Methods: RNA sequencing data and clinical information for glioma patients were obtained from The Cancer Genome Atlas (TCGA). A multigene prognostic signature based on IL-18 signaling-related genes (ISRGs) was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression method. The functional roles of PTX3 were analyzed through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). Single-sample GSEA (ssGSEA) was used to assess the association between PTX3 expression and immune cell infiltration. The relationship between PTX3 expression and clinicopathological features was also examined. Prognostic relevance was evaluated using univariate and multivariate Cox regression models, and Kaplan-Meier survival analysis was performed. PTX3 protein expression was validated Results: The LASSO Cox regression model identified a nine-gene prognostic signature, including BMP2, NCF1, HSPB1, PIGT, PTX3, CCNA2, CCNB2, CCN4, and DES. Functional enrichment analysis revealed that PTX3-associated differentially expressed genes were significantly enriched in pathways such as cytokine-cytokine receptor interaction and PI3K-Akt signaling, which are critical for immune response and cell proliferation in glioma. PTX3 expression showed a strong correlation with immune cell infiltration, particularly macrophages, neutrophils, T cells, and natural killer cells, suggesting a role in modulating the tumor microenvironment. Pan-cancer analysis indicated that PTX3 is markedly upregulated in various cancers, especially gliomas, highlighting its potential as a biomarker. PTX3 expression was also associated with clinical features such as WHO grade, IDH mutation status, and 1p/19q co-deletion, with higher PTX3 levels linked to poorer survival outcomes. Immunohistochemistry confirmed elevated PTX3 protein expression in both lower-grade glioma and glioblastoma multiforme. Conclusions: These findings highlight the critical role of PTX3 in glioma and suggest its potential as both a prognostic biomarker and therapeutic target. This study provides a foundation for future research into targeted therapies involving PTX3.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.