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Identification of the Prognostic Signatures of Glioma With Different PTEN Status
The high-grade glioma is characterized by cell heterogeneity, gene mutations, and poor prognosis. The deletions and mutations of the tumor suppressor gene PTEN (5%-40%) in glioma patients are associated with worse survival and therapeutic resistance. Characterization of unique prognosis molecular si...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317988/ https://www.ncbi.nlm.nih.gov/pubmed/34336645 http://dx.doi.org/10.3389/fonc.2021.633357 |
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author | Zhang, Pei Meng, Xinyi Liu, Liqun Li, Shengzhen Li, Yang Ali, Sakhawat Li, Shanhu Xiong, Jichuan Liu, Xuefeng Li, Shouwei Xia, Qin Dong, Lei |
author_facet | Zhang, Pei Meng, Xinyi Liu, Liqun Li, Shengzhen Li, Yang Ali, Sakhawat Li, Shanhu Xiong, Jichuan Liu, Xuefeng Li, Shouwei Xia, Qin Dong, Lei |
author_sort | Zhang, Pei |
collection | PubMed |
description | The high-grade glioma is characterized by cell heterogeneity, gene mutations, and poor prognosis. The deletions and mutations of the tumor suppressor gene PTEN (5%-40%) in glioma patients are associated with worse survival and therapeutic resistance. Characterization of unique prognosis molecular signatures by PTEN status in glioma is still unclear. This study established a novel risk model, screened optimal prognostic signatures, and calculated the risk score for the individual glioma patients with different PTEN status. Screening results revealed fourteen independent prognostic gene signatures in PTEN-wt and three in the -50PTEN-mut subgroup. Moreover, we verified risk score as an independent prognostic factor significantly correlated with tumor malignancy. Due to the higher malignancy of the PTEN-mut gliomas, we explored the independent prognostic signatures (CLCF1, AEBP1, and OS9) for a potential therapeutic target in PTEN-mut glioma. We further separated IDH wild-type glioma patients into GBM and LGG to verify the therapeutic target along with PTEN status, notably, the above screened therapeutic targets are also significant prognostic genes in both IDH-wt/PTEN-mut GBM and LGG patients. We further identified the small molecule compound (+)-JQ1 binds to all three targets, indicating a potential therapy for PTEN-mut glioma. In sum, gene signatures and risk scores in the novel risk model facilitate glioma diagnosis, prognosis prediction, and treatment. |
format | Online Article Text |
id | pubmed-8317988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83179882021-07-29 Identification of the Prognostic Signatures of Glioma With Different PTEN Status Zhang, Pei Meng, Xinyi Liu, Liqun Li, Shengzhen Li, Yang Ali, Sakhawat Li, Shanhu Xiong, Jichuan Liu, Xuefeng Li, Shouwei Xia, Qin Dong, Lei Front Oncol Oncology The high-grade glioma is characterized by cell heterogeneity, gene mutations, and poor prognosis. The deletions and mutations of the tumor suppressor gene PTEN (5%-40%) in glioma patients are associated with worse survival and therapeutic resistance. Characterization of unique prognosis molecular signatures by PTEN status in glioma is still unclear. This study established a novel risk model, screened optimal prognostic signatures, and calculated the risk score for the individual glioma patients with different PTEN status. Screening results revealed fourteen independent prognostic gene signatures in PTEN-wt and three in the -50PTEN-mut subgroup. Moreover, we verified risk score as an independent prognostic factor significantly correlated with tumor malignancy. Due to the higher malignancy of the PTEN-mut gliomas, we explored the independent prognostic signatures (CLCF1, AEBP1, and OS9) for a potential therapeutic target in PTEN-mut glioma. We further separated IDH wild-type glioma patients into GBM and LGG to verify the therapeutic target along with PTEN status, notably, the above screened therapeutic targets are also significant prognostic genes in both IDH-wt/PTEN-mut GBM and LGG patients. We further identified the small molecule compound (+)-JQ1 binds to all three targets, indicating a potential therapy for PTEN-mut glioma. In sum, gene signatures and risk scores in the novel risk model facilitate glioma diagnosis, prognosis prediction, and treatment. Frontiers Media S.A. 2021-07-14 /pmc/articles/PMC8317988/ /pubmed/34336645 http://dx.doi.org/10.3389/fonc.2021.633357 Text en Copyright © 2021 Zhang, Meng, Liu, Li, Li, Ali, Li, Xiong, Liu, Li, Xia and Dong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Zhang, Pei Meng, Xinyi Liu, Liqun Li, Shengzhen Li, Yang Ali, Sakhawat Li, Shanhu Xiong, Jichuan Liu, Xuefeng Li, Shouwei Xia, Qin Dong, Lei Identification of the Prognostic Signatures of Glioma With Different PTEN Status |
title | Identification of the Prognostic Signatures of Glioma With Different PTEN Status |
title_full | Identification of the Prognostic Signatures of Glioma With Different PTEN Status |
title_fullStr | Identification of the Prognostic Signatures of Glioma With Different PTEN Status |
title_full_unstemmed | Identification of the Prognostic Signatures of Glioma With Different PTEN Status |
title_short | Identification of the Prognostic Signatures of Glioma With Different PTEN Status |
title_sort | identification of the prognostic signatures of glioma with different pten status |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317988/ https://www.ncbi.nlm.nih.gov/pubmed/34336645 http://dx.doi.org/10.3389/fonc.2021.633357 |
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