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A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes
Recent studies demonstrated that pyroptosis plays a crucial role in shaping the tumor-immune microenvironment. However, the influence of pyroptosis on lower-grade glioma regarding immunotherapy and targeted therapy is still unknown. This study analyzed the variations of 33 pyroptosis-related genes i...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221219/ https://www.ncbi.nlm.nih.gov/pubmed/35741587 http://dx.doi.org/10.3390/brainsci12060700 |
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author | Shen, Yusheng Chi, Hao Xu, Ke Li, Yandong Yin, Xisheng Chen, Shi Yang, Qian He, Miao Zhu, Guohua Li, Xiaosong |
author_facet | Shen, Yusheng Chi, Hao Xu, Ke Li, Yandong Yin, Xisheng Chen, Shi Yang, Qian He, Miao Zhu, Guohua Li, Xiaosong |
author_sort | Shen, Yusheng |
collection | PubMed |
description | Recent studies demonstrated that pyroptosis plays a crucial role in shaping the tumor-immune microenvironment. However, the influence of pyroptosis on lower-grade glioma regarding immunotherapy and targeted therapy is still unknown. This study analyzed the variations of 33 pyroptosis-related genes in lower-grade glioma and normal tissues. Our study found considerable genetic and expression alterations in heterogeneity among lower-grade gliomas and normal brain tissues. There are two pyroptosis phenotypes in lower-grade glioma, and they exhibited differences in cell infiltration characteristics and clinical characters. Then, a PyroScore model using the lasso-cox method was constructed to measure the level of pyroptosis in each patient. PyroScore can refine the lower-grade glioma patients with a stratified prognosis and a distinct tumor immune microenvironment. Pyscore may also be an effective factor in predicting potential therapeutic benefits. In silico analysis showed that patients with a lower PyroScore are expected to be more sensitive to targeted therapy and immunotherapy. These findings may enhance our understanding of pyroptosis in lower-grade glioma and might help optimize risk stratification for the survival and personalized management of lower-grade glioma patients. |
format | Online Article Text |
id | pubmed-9221219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92212192022-06-24 A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes Shen, Yusheng Chi, Hao Xu, Ke Li, Yandong Yin, Xisheng Chen, Shi Yang, Qian He, Miao Zhu, Guohua Li, Xiaosong Brain Sci Article Recent studies demonstrated that pyroptosis plays a crucial role in shaping the tumor-immune microenvironment. However, the influence of pyroptosis on lower-grade glioma regarding immunotherapy and targeted therapy is still unknown. This study analyzed the variations of 33 pyroptosis-related genes in lower-grade glioma and normal tissues. Our study found considerable genetic and expression alterations in heterogeneity among lower-grade gliomas and normal brain tissues. There are two pyroptosis phenotypes in lower-grade glioma, and they exhibited differences in cell infiltration characteristics and clinical characters. Then, a PyroScore model using the lasso-cox method was constructed to measure the level of pyroptosis in each patient. PyroScore can refine the lower-grade glioma patients with a stratified prognosis and a distinct tumor immune microenvironment. Pyscore may also be an effective factor in predicting potential therapeutic benefits. In silico analysis showed that patients with a lower PyroScore are expected to be more sensitive to targeted therapy and immunotherapy. These findings may enhance our understanding of pyroptosis in lower-grade glioma and might help optimize risk stratification for the survival and personalized management of lower-grade glioma patients. MDPI 2022-05-28 /pmc/articles/PMC9221219/ /pubmed/35741587 http://dx.doi.org/10.3390/brainsci12060700 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shen, Yusheng Chi, Hao Xu, Ke Li, Yandong Yin, Xisheng Chen, Shi Yang, Qian He, Miao Zhu, Guohua Li, Xiaosong A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes |
title | A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes |
title_full | A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes |
title_fullStr | A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes |
title_full_unstemmed | A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes |
title_short | A Novel Classification Model for Lower-Grade Glioma Patients Based on Pyroptosis-Related Genes |
title_sort | novel classification model for lower-grade glioma patients based on pyroptosis-related genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221219/ https://www.ncbi.nlm.nih.gov/pubmed/35741587 http://dx.doi.org/10.3390/brainsci12060700 |
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