ArticleGenes & genomics2023
Identification and validation of an ECM organization-related gene signature as a prognostic biomarker and therapeutic target for glioma patients.
Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Establishment of a nomogram model based on immune-related genes using machine learning for aortic dissection diagnosis and immunomodulation assessment.International journal of medical sciences · 2025Article
- Insights into the molecular mechanisms underlying the function of lysyl oxidase like 1 in cancers.PeerJ · 2025Review
- Three-dimensional matrix stiffness modulates mechanosensitive and phenotypic alterations in oral squamous cell carcinoma spheroids.APL bioengineering · 2024Article
- LOX rises as a potential survival biomarker: A commentary on "Identification of LOX as a candidate prognostic biomarker in Glioblastoma multiforme" by Liu et al.Translational oncology · 2024Article
- Participation of preovulatory follicles in the activation of primordial follicles in mouse ovaries.International journal of biological sciences · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
backgroundGlioma is the most common and devastating form of malignant brain tumor, with a poor prognosis. Extracellular matrix (ECM) organization is a crucial determinant of glioma invasion and progression. However, the clinical significance of ECM organization in glioma patients remains unclear.
objectiveTo evaluate the prognostic value of ECM organization-related genes in glioma patients and identify potential therapeutic targets.
methodsBulk RNA-sequencing and corresponding clinical data for patients with glioma were downloaded from TCGA and GEO databases. Differentially expressed ECM organization genes were identified, and an ECM organization-related gene prognostic model was then generated. Furthermore, the prognostic model has validated in the Chinese Glioma Genome Atlas (CGGA) dataset. The role of TIMP1 in glioma cells by using various functional assays revealed their underlying mechanism in vitro.
resultsWe identified and validated a nine-gene signature (TIMP1, SERPINE1, PTX3, POSTN, PLOD3, PDPN, LOXL1, ITGA2, and COL8A1) related to ECM organization as a robust prognostic biomarker for glioma. Time-dependent ROC curve analysis confirmed the specificity and sensitivity of the signature. The signature was closely related to an immunosuppressive phenotype, and its combination with immune checkpoints served as a good predictor for patients' clinical outcomes. Notably, single-cell RNA sequencing analysis revealed high expression of TIMP1 in astrocytes and oligodendrocyte progenitor cells in glioma patients. Last, we show that TIMP1 regulates glioma cell growth and invasion via the AKT/GSK3β signaling pathway.
conclusionThis study provides promising insights into predicting glioma prognosis and identifying a potential therapeutic target in TIMP1.
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