Identification of EMT-Related Genes and Prognostic Signature With Significant Implications on Biological Properties and Oncology Treatment of Lower Grade Gliomas

被引:3
|
作者
Wu, Jiasheng [1 ,2 ]
He, Jinru [3 ]
Zhang, Jiheng [1 ,2 ]
Ji, Hang [1 ,2 ]
Wang, Nan [1 ,2 ]
Ma, Shuai [1 ,2 ]
Yan, Xiuwei [1 ,2 ]
Gao, Xin [1 ,2 ]
Du, Jianyang [1 ,3 ,4 ]
Liu, Zhihui [1 ,2 ]
Hu, Shaoshan [1 ,2 ]
机构
[1] Zhejiang Prov Peoples Hosp, Hangzhou Med Coll, Emergency Med Ctr, Dept Neurosurg, Hangzhou, Peoples R China
[2] Harbin Med Univ, Dept Neurosurg, Affiliated Hosp 2, Harbin, Peoples R China
[3] Harbin Inst Technol, Sch Life Sci & Technol, Harbin, Peoples R China
[4] Shandong First Med Univ, Dept Neurosurg, Shandong Prov Hosp, Jinan, Peoples R China
基金
中国国家自然科学基金;
关键词
epithelial-mesenchymal transition; lower grade gliomas; immune; stemness; adjacent non-tumor tissues; oncology treatment; EPITHELIAL-MESENCHYMAL TRANSITION; ACTIVATOR ZEB1; TARGETING EMT; R PACKAGE; CANCER; CELLS; METHYLATION; PROGRESSION; MECHANISMS; RESISTANCE;
D O I
10.3389/fcell.2022.887693
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The epithelial-mesenchymal transition (EMT) is an important process that drives progression, metastasis, and oncology treatment resistance in cancers. Also, the adjacent non-tumor tissue may affect the biological properties of cancers and have potential prognostic implications. Our study aimed to identify EMT-related genes in LGG samples, explore their impact on the biological properties of lower grade gliomas (LGG) through the multi-omics analysis, and reveal the potential mechanism by which adjacent non-tumor tissue participated in the malignant progression of LGG. Based on the 121 differentially expressed EMT-related genes between normal samples from the GTEx database and LGG samples in the TCGA cohort, we identified two subtypes and constructed EMTsig. Because of the genetic, epigenetic, and transcriptomic heterogeneity, malignant features including clinical traits, molecular traits, metabolism, anti-tumor immunity, and stemness features were different between samples with C1 and C2. In addition, EMTsig could also quantify the EMT levels, variation in prognosis, and oncology treatment sensitivity of LGG patients. Therefore, EMTsig could assist us in developing objective diagnostic tools and in optimizing therapeutic strategies for LGG patients. Notably, with the GSVA, we found that adjacent non-tumor tissue might participate in the progression, metastasis, and formation of the tumor microenvironment in LGG. Therefore, the potential prognostic implications of adjacent non-tumor tissue should be considered when performing clinical interventions for LGG patients. Overall, our study investigated and validated the effects of EMT-related genes on the biological properties from multiple perspectives, and provided new insights into the function of adjacent non-tumor tissue in the malignant progression of LGG.
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页数:22
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