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Expression of overall survival-EMT-immune cell infiltration genes predict the prognosis of glioma.
Zheng, Lei; He, Jin-Jing; Zhao, Kai-Xiang; Pan, Ya-Fei; Liu, Wei-Xian.
Afiliación
  • Zheng L; Department of Breast Surgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China.
  • He JJ; Department of Operating Room, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China.
  • Zhao KX; Department of Thoracic Surgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China.
  • Pan YF; Department of Anesthesiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, 310000, PR China.
  • Liu WX; Department of Neurosurgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China.
Noncoding RNA Res ; 9(2): 407-420, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38511063
ABSTRACT
This study investigates the crucial role of immune- and epithelial-mesenchymal transition (EMT)-associated genes and non-coding RNAs in glioma development and diagnosis, given the challenging 5-year survival rates associated with this prevalent CNS malignant tumor. Clinical and RNA data from glioma patients were meticulously gathered from CGGA databases, and EMT-related genes were sourced from dbEMT2.0, while immune-related genes were obtained from MSigDB. Employing consensus clustering, novel molecular subgroups were identified. Subsequent analyses, including ESTIMATE, TIMER, and MCP counter, provided insights into the tumor microenvironment (TIME) and immune status. Functional studies, embracing GO, KEGG, GSVA, and GSEA analyses, unraveled the underlying mechanisms governing these molecular subgroups. Utilizing the LASSO algorithm and multivariate Cox regression, a prognostic risk model was crafted. The study unveiled two distinct molecular subgroups with significantly disparate survival outcomes. A more favorable prognosis was linked to low immune scores, high tumor purity, and an abundance of immune infiltrating cells with differential expression of non-coding RNAs, including miRNAs. Functional analyses illuminated enrichment of immune- and EMT-associated pathways in differentially expressed genes and non-coding RNAs between these subgroups. GSVA and GSEA analyses hinted at abnormal EMT status potentially contributing to glioma-associated immune disorders. The risk model, centered on OS-EMT-ICI genes, exhibited promise in accurately predicting survival in glioma. Additionally, a nomogram integrating the risk model with clinical characteristics demonstrated notable accuracy in prognostic predictions for glioma patients. In conclusion, OS-EMT-ICI gene and non-coding RNA expression emerges as a valuable indicator intricately linked to immune microenvironment dysregulation, offering a robust tool for precise prognosis prediction in glioma patients within the OBMRC framework.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Noncoding RNA Res Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Noncoding RNA Res Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos