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A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data
Lipid metabolism affects cell proliferation, differentiation, membrane homeostasis and drug resistance. An in-depth exploration of lipid metabolism in gliomas might provide a novel direction for gliomas treatment. A lipid metabolism-related risk signature was constructed in our study to assess the p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937104/ https://www.ncbi.nlm.nih.gov/pubmed/36086728 http://dx.doi.org/10.1097/MD.0000000000030501 |
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author | Meng, Dingqiang Liu, Ting |
author_facet | Meng, Dingqiang Liu, Ting |
author_sort | Meng, Dingqiang |
collection | PubMed |
description | Lipid metabolism affects cell proliferation, differentiation, membrane homeostasis and drug resistance. An in-depth exploration of lipid metabolism in gliomas might provide a novel direction for gliomas treatment. A lipid metabolism-related risk signature was constructed in our study to assess the prognosis of patients with gliomas. Lipid metabolism-related genes were extracted. Differentially expressed genes (DEGs) were screened, and a risk signature was built. The ability of the risk signature to predict the outcomes of patients with gliomas was assessed using the log-rank test and Cox regression analysis. The relationships between immunological characteristics, drug sensitivity and the risk score were evaluated, and the risk-related mechanisms were also estimated. Twenty lipid metabolism-related DEGs associated with the patient prognosis were included in the risk signature. The survival rate of high-risk patients was worse than that of low-risk patients. The risk score independently predicted the outcomes of patients. Immunological parameters, drug sensitivity, immunotherapy benefits, and numerous molecular mechanisms were significantly associated with the risk score. A lipid metabolism-related risk signature might effectively assess the prognosis of patients with gliomas. The risk score might guide individualized treatment and further clinical decision-making for patients with gliomas. |
format | Online Article Text |
id | pubmed-9937104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-99371042023-02-18 A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data Meng, Dingqiang Liu, Ting Medicine (Baltimore) Research Article Lipid metabolism affects cell proliferation, differentiation, membrane homeostasis and drug resistance. An in-depth exploration of lipid metabolism in gliomas might provide a novel direction for gliomas treatment. A lipid metabolism-related risk signature was constructed in our study to assess the prognosis of patients with gliomas. Lipid metabolism-related genes were extracted. Differentially expressed genes (DEGs) were screened, and a risk signature was built. The ability of the risk signature to predict the outcomes of patients with gliomas was assessed using the log-rank test and Cox regression analysis. The relationships between immunological characteristics, drug sensitivity and the risk score were evaluated, and the risk-related mechanisms were also estimated. Twenty lipid metabolism-related DEGs associated with the patient prognosis were included in the risk signature. The survival rate of high-risk patients was worse than that of low-risk patients. The risk score independently predicted the outcomes of patients. Immunological parameters, drug sensitivity, immunotherapy benefits, and numerous molecular mechanisms were significantly associated with the risk score. A lipid metabolism-related risk signature might effectively assess the prognosis of patients with gliomas. The risk score might guide individualized treatment and further clinical decision-making for patients with gliomas. Lippincott Williams & Wilkins 2022-09-09 /pmc/articles/PMC9937104/ /pubmed/36086728 http://dx.doi.org/10.1097/MD.0000000000030501 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | Research Article Meng, Dingqiang Liu, Ting A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data |
title | A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data |
title_full | A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data |
title_fullStr | A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data |
title_full_unstemmed | A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data |
title_short | A lipid metabolism-related risk signature for patients with gliomas constructed with TCGA and CGGA data |
title_sort | lipid metabolism-related risk signature for patients with gliomas constructed with tcga and cgga data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937104/ https://www.ncbi.nlm.nih.gov/pubmed/36086728 http://dx.doi.org/10.1097/MD.0000000000030501 |
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