ArticleCarcinogenesis2020
Identification of the potential biomarkers in patients with glioma: a weighted gene co-expression network analysis.
Article in Carcinogenesis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- IKBIP as a prognostic biomarker and immunotherapeutic target regulates the JAK-STAT3 signaling pathway to promote cervical cancer.Journal of translational medicine · 2026Article
- Multi-omics analysis and experimental validation uncovers prognosis significance of IKBIP in patients with hepatocellular carcinoma: a multicenter cohort study.BMC gastroenterology · 2026Article
- Down-regulation of circ0001361 induces apoptosis and suppresses the progression of glioma.PloS one · 2026Article
- SP1-IKBIP axis promotes the proliferation and invasion of glioma with Wnt/β-catenin associated epithelial-mesenchymal transition.American journal of cancer research · 2026Article
- Hsa_circ_0059511 promote glioma cell proliferation and migration through hsa-miR-194-5p/HBEGF axis.Cancer cell international · 2025Article
- TENT5A Increases Glioma Malignancy and Promotes its Progression.Recent patents on anti-cancer drug discovery · 2025Article
- MiR-760 exerts a critical regulatory role in glioma proliferation, migration, and invasion by modulating MMP2 expression.Journal of Cancer · 2024Article
- Prognostic value of IKBIP in papillary renal cell carcinoma.BMC urology · 2023Article
- Capicua (CIC) mutations in gliomas in association with MAPK activation for exposing a potential therapeutic target.Medical oncology (Northwood, London, England) · 2023Article
- I kappa B kinase interacting protein as a promising biomarker in pan-cancer: A multi-omics analysis.Frontiers in genetics · 2023Article
- Simulating neuronal development: exploring potential mechanisms for central nervous system metastasis in acute lymphoblastic leukemia.Frontiers in oncology · 2023Article
- Identification of hub genes in bladder cancer based on weighted gene co-expression network analysis from TCGA database.Cancer reports (Hoboken, N.J.) · 2022Article
- Systems Genetic Identification of Mitochondrion-Associated Alzheimer's Disease Genes and Implications for Disease Risk Prediction.Biomedicines · 2022Article
- A Potential Prognostic Biomarker for Glioma: Aldo-Keto Reductase Family 1 Member B1.Computational intelligence and neuroscience · 2022Article
- Identification of key genes involved in the recurrence of glioblastoma multiforme using weighted gene co-expression network analysis and differential expression analysis.Bioengineered · 2021Article
- Circ_CLIP2 promotes glioma progression through targeting the miR-195-5p/HMGB3 axis.Journal of neuro-oncology · 2021Article
- The Role of Network Science in Glioblastoma.Cancers · 2021Review
- Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is the most common brain tumor with high mortality. However, there are still challenges for the timely and accurate diagnosis and effective treatment of the tumor. One hundred and twenty-one samples with grades II, III and IV from the Gene Expression Omnibus database were used to construct gene co-expression networks to identify hub modules closely related to glioma grade, and performed pathway enrichment analysis on genes from significant modules. In gene co-expression network constructed by 2345 differentially expressed genes from 121 gene expression profiles for glioma, we identified the black and blue modules that associated with grading. The module preservation analysis based on 118 samples indicates that the two modules were replicable. Enrichment analysis showed that the extracellular matrix genes were enriched for blue module, while cell division genes were enriched for black module. According to survival analysis, 21 hub genes were significantly up-regulated and one gene was significantly down-regulated. What's more, IKBIP, SEC24D, and FAM46A are the genes with little attention among the 22 hub genes. In this study, IKBIP, SEC24D, and FAM46A related to glioma were mentioned for the first time to the current knowledge, which might provide a new idea for us to study the disease in the future. IKBIP, SEC24D and FAM46A among the 22 hub genes identified that are related to the malignancy degree of glioma might be used as new biomarkers to improve the diagnosis, treatment and prognosis of glioma.
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Registered trials
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