ArticleBMC cancer2020
Analyses of metastasis-associated genes in IDH wild-type glioma.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Development and validation of an immune-related diagnostic signature for breast cancer bone metastasis.Scientific reports · 2026Article
- Machine learning-based identification of a cell death-related signature associated with prognosis and immune infiltration in glioma.Journal of cellular and molecular medicine · 2024Article
- Knockdown of PGBD5 inhibits the malignant progression of glioma through upregulation of the PPAR pathway.International journal of oncology · 2024Article
- Molecular and immunological features of TREM1 and its emergence as a prognostic indicator in glioma.Frontiers in immunology · 2024Article
- Article
- DNA topoisomerase II alpha promotes the metastatic characteristics of glioma cells by transcriptionally activating β-catenin.Bioengineered · 2022Article
- Definition of an Inflammatory Biomarker Signature in Plasma-Derived Extracellular Vesicles of Glioblastoma Patients.Biomedicines · 2022Article
- Circular RNA: A novel type of biomarker for glioma (Review).Molecular medicine reports · 2021Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlioma is the most common malignant tumor of the brain. The existence of metastatic tumor cells is an important cause of recurrence even after radical glioma resection.
methodsSingle-cell sequencing data and high-throughput data were downloaded from GEO database and TCGA/CGGA database. By means of PCA and tSNE clustering methods, metastasis-associated genes in glioma were identified. GSEA explored possible biological functions that these metastasis-associated genes may participate in. Univariate and multivariate Cox regression were used to construct a prognostic model.
resultsGlioma metastatic cells and metastasis-associated genes were identified. The prognostic model based on metastasis-associated genes had good sensitivity and specificity for the prognosis of glioma. These genes may be involved in signal pathways such as cellular protein catabolic process, p53 signaling pathway, transcriptional misregulation in cancer and JAK-STAT signaling pathway.
conclusionThis study explored glioma metastasis-associated genes through single-cell sequencing data mining, and aimed to identify prognostic metastasis-associated signatures for glioma and may provide potential targets for further cancer research.
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