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KMID : 0381120230450091211
Genes and Genomics
2023 Volume.45 No. 9 p.1211 ~ p.1226
Identification and validation of an ECM organization-related gene signature as a prognostic biomarker and therapeutic target for glioma patients
Qiong Zhong

Qiuxia Zhong
Kim Yeo-Ju
Renrui Wu
Abstract
Background : Glioma 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.

Objective : To evaluate the prognostic value of ECM organization-related genes in glioma patients and identify potential therapeutic targets.

Methods : Bulk 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.

Results : We 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/GSK3¥â signaling pathway.

Conclusion : This study provides promising insights into predicting glioma prognosis and identifying a potential therapeutic target in TIMP1.
KEYWORD
Glioma, Extracellular matrix organization, Signature, Prognosis, TIMP1
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