The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma

Objective: Emerging evidence revealed that super-enhancer plays a crucial role in the transcriptional reprogramming for many cancers. The purpose aimed to explored how the super-enhancer related genes affects the prognosis and tumor immune microenvironment (TIME) of patients with low-grade glioma (L...

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Main Authors: Yungang Hu, Qingqing Yang, Shuzhou Cai, Wei Wang, Shiyin Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1085584/full
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author Yungang Hu
Qingqing Yang
Shuzhou Cai
Wei Wang
Shiyin Fu
author_facet Yungang Hu
Qingqing Yang
Shuzhou Cai
Wei Wang
Shiyin Fu
author_sort Yungang Hu
collection DOAJ
description Objective: Emerging evidence revealed that super-enhancer plays a crucial role in the transcriptional reprogramming for many cancers. The purpose aimed to explored how the super-enhancer related genes affects the prognosis and tumor immune microenvironment (TIME) of patients with low-grade glioma (LGG).Methods: In this study, the differentially expressed genes (DEGs) between LGG cohorts and normal brain tissue cohort were identified by the comprehensive analysis of the super-enhancer (SE) related genes. Then non-negative matrix factorization was performed to seek the optimal classification based on the DEGs, while investigating prognostic and clinical differences between different subtypes. Subsequently, a prognostic related signature (SERS) was constructed for the comprehensive evaluation in term of individualized prognosis, clinical characteristics, cancer markers, genomic alterations, and immune microenvironment of patients with LGG.Results: Based on the expression profiles of 170 DEGs, we identified three SE subtypes, and the three subtypes showed significant differences in prognostic, clinicopathological features. Then, nine optimal SE-related genes were selected to construct the SERS through the least absolute shrinkage and selection operator Cox regression analysis. Survival analysis showed that SERS had strong and stable predictive ability for the prognosis of LGG patients in the The Cancer Genome Atlas, China Glioma Genome Atlas, and Remdrandt cohorts, respectively. We also found that SERS was highly correlated with clinicopathological features, tumor immune microenvironment, cancer hallmarks, and genomic alterations in LGG patients. In addition, the predictive power of SERS for immune checkpoint inhibitor treatment is also superior. The qRT-PCR results and immunohistochemical results also confirmed the difference in the expression of four key genes in normal cells and tumors, as well as in normal tissues and tumor tissues.Conclusion: The SERS could be suitable to utilize individualized prognosis prediction and immunotherapy options for LGG patients in clinical application.
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spelling doaj.art-610f5452573744ca9b046a51e6007ef42023-04-07T04:30:19ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-04-011410.3389/fgene.2023.10855841085584The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade gliomaYungang Hu0Qingqing Yang1Shuzhou Cai2Wei Wang3Shiyin Fu4Department of Neurosurgery, Wuhan University of Science and Technology Affiliated Xiaogan Central Hospital, Xiaogan, Hubei, ChinaDepartment of Thyroid and Breast Surgery, Wuhan University of Science and Technology Affiliated Xiaogan Central Hospital, Xiaogan, Hubei, ChinaDepartment of Neurosurgery, Wuhan University of Science and Technology Affiliated Xiaogan Central Hospital, Xiaogan, Hubei, ChinaDepartment of Neurosurgery, Wuhan University of Science and Technology Affiliated Xiaogan Central Hospital, Xiaogan, Hubei, ChinaDepartment of Pediatric, Jinchu University of Technology Affiliated Central Hospital, Jingmen, Hubei, ChinaObjective: Emerging evidence revealed that super-enhancer plays a crucial role in the transcriptional reprogramming for many cancers. The purpose aimed to explored how the super-enhancer related genes affects the prognosis and tumor immune microenvironment (TIME) of patients with low-grade glioma (LGG).Methods: In this study, the differentially expressed genes (DEGs) between LGG cohorts and normal brain tissue cohort were identified by the comprehensive analysis of the super-enhancer (SE) related genes. Then non-negative matrix factorization was performed to seek the optimal classification based on the DEGs, while investigating prognostic and clinical differences between different subtypes. Subsequently, a prognostic related signature (SERS) was constructed for the comprehensive evaluation in term of individualized prognosis, clinical characteristics, cancer markers, genomic alterations, and immune microenvironment of patients with LGG.Results: Based on the expression profiles of 170 DEGs, we identified three SE subtypes, and the three subtypes showed significant differences in prognostic, clinicopathological features. Then, nine optimal SE-related genes were selected to construct the SERS through the least absolute shrinkage and selection operator Cox regression analysis. Survival analysis showed that SERS had strong and stable predictive ability for the prognosis of LGG patients in the The Cancer Genome Atlas, China Glioma Genome Atlas, and Remdrandt cohorts, respectively. We also found that SERS was highly correlated with clinicopathological features, tumor immune microenvironment, cancer hallmarks, and genomic alterations in LGG patients. In addition, the predictive power of SERS for immune checkpoint inhibitor treatment is also superior. The qRT-PCR results and immunohistochemical results also confirmed the difference in the expression of four key genes in normal cells and tumors, as well as in normal tissues and tumor tissues.Conclusion: The SERS could be suitable to utilize individualized prognosis prediction and immunotherapy options for LGG patients in clinical application.https://www.frontiersin.org/articles/10.3389/fgene.2023.1085584/fullsuper-enhancerlower-grade gliomaprognostic signaturetumor immune microenvironmentimmunotherapy
spellingShingle Yungang Hu
Qingqing Yang
Shuzhou Cai
Wei Wang
Shiyin Fu
The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma
Frontiers in Genetics
super-enhancer
lower-grade glioma
prognostic signature
tumor immune microenvironment
immunotherapy
title The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma
title_full The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma
title_fullStr The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma
title_full_unstemmed The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma
title_short The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma
title_sort integrative analysis based on super enhancer related genes for predicting different subtypes and prognosis of patient with lower grade glioma
topic super-enhancer
lower-grade glioma
prognostic signature
tumor immune microenvironment
immunotherapy
url https://www.frontiersin.org/articles/10.3389/fgene.2023.1085584/full
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