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High ECM2 Expression Predicts Poor Clinical Outcome and Promotes the Proliferation, Migration, and Invasiveness of Glioma.
- Source :
- Brain Sciences (2076-3425); Jun2023, Vol. 13 Issue 6, p851, 24p
- Publication Year :
- 2023
-
Abstract
- Objective: Glioma is the most prevalent and fatal intracranial malignant tumor. Extracellular matrix protein 2 (ECM2) has rarely been studied in gliomas. Therefore, we explored the role of ECM2 in lower-grade gliomas (LGGs). Methods: The RNA-seq and clinicopathology data were obtained from the TCGA database. The immunohistochemical (IHC) staining was used to verify the expression of ECM2. Functional enrichment analyses, immune-related analyses, drug sensitivity, and mutation profile analyses were further conducted. Cox regression and Kaplan–Meier curves were utilized for survival analyses, while four external datasets were used to validate the prognostic role of ECM2. Furthermore, qRT-PCR, CCK-8, wound healing, and transwell assays were performed to confirm the function of ECM2 in gliomas. Results: The study found a significant upregulation of ECM2 expression with increasing glioma grades and a significant association between ECM2 expression and tumor immune infiltration. Cox regression verified the prognostic role of ECM2 in LGG patients (HR = 1.656, 95%CI = 1.055–2.600, p = 0.028). High ECM2 expression was significantly associated with poor outcome (p < 0.001). Four external datasets validated its prognostic value. After the knockdown of ECM2, the functional experiments showed a significant decrease in proliferation, migration, and invasion in glioma cell lines. Conclusion: The study suggested the potential of ECM2 as a novel immune-associated prognostic biomarker and therapeutic target for glioma patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- GLIOMAS
EXTRACELLULAR matrix proteins
INTRACRANIAL tumors
PROGNOSIS
DATABASES
Subjects
Details
- Language :
- English
- ISSN :
- 20763425
- Volume :
- 13
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Brain Sciences (2076-3425)
- Publication Type :
- Academic Journal
- Accession number :
- 164575690
- Full Text :
- https://doi.org/10.3390/brainsci13060851