ArticleAmerican journal of translational research2020
Identification of three glioblastoma subtypes and a six-gene prognostic risk index based on the expression of growth factors and cytokines.
Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Midkine and pleiotrophin in glioma: From mechanistic insights to therapeutic potential.Neoplasia (New York, N.Y.) · 2026Review
- Endothelial cells-derived SEMA3G suppresses glioblastoma stem cells by inducing c-Myc degradation.Cell death and differentiation · 2025Article
- Identification of candidate biomarkers correlated with the pathogenesis of breast cancer patients.Scientific reports · 2025Article
- Review
- Eukaryotic initiation factor 4 A-3 promotes glioblastoma growth and invasion through the Notch1-dependent pathway.BMC cancer · 2023Article
- Current Opportunities for Targeting Dysregulated Neurodevelopmental Signaling Pathways in Glioblastoma.Cells · 2022Review
- A benchmark study of deep learning-based multi-omics data fusion methods for cancer.Genome biology · 2022Article
- Screening seven hub genes associated with prognosis and immune infiltration in glioblastoma.Frontiers in genetics · 2022Article
- Construction of Molecular Subtypes and Related Prognostic and Immune Response Models Based on M2 Macrophages in Glioblastoma.International journal of general medicine · 2022Article
- Identification of Candidate Genes Associated With Prognosis in Glioblastoma.Frontiers in molecular neuroscience · 2022Article
- Opinion: Bridging gaps and doubts in glioblastoma cell-of-origin.Frontiers in oncology · 2022Article
- Midkine promotes glioblastoma progression via PI3K-Akt signaling.Cancer cell international · 2021Article
- RBM8A Promotes Glioblastoma Growth and Invasion Through the Notch/STAT3 Pathway.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma multiforme (GBM) is the most common and invasive tumor of the central nervous system. Growth factors and cytokines (GFCKs) play a crucial role in tumor invasion. In the present study, GFCK expression profiles from GBM patients in the Chinese Glioma Genome Atlas were used to perform sample clustering with nonnegative matrix factorization. Three GBM subtypes were identified based on differences in GFCK expression, and the subtypes differed in characteristics and prognosis. A prognostic risk index (RI) comprising six GFCKs (BMP2, CCN3, GKN1, LIF, MDK, and SEMA3G) was defined using univariate Cox hazard analysis and multivariate stepwise Cox regression. The RI was validated in two independent data sets and may be independent of some known prognostic factors. Our results suggest that GBM occurs as different subtypes expressing different patterns of GFCKs and that these expression patterns can be captured in an RI that can predict prognosis.
Indexed as
Identifiers
32913540PMC7476164W3086684421What 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.