Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma
Lower-grade glioma (LGG), a prevalent malignant tumor in the central nervous system, requires accurate prediction and treatment to prevent aggressive progression. We aimed to explore the role of disulfidptosis-related genes (DRGs) in LGG, a recently discovered form of programmed cell death character...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612529/ https://www.ncbi.nlm.nih.gov/pubmed/37900961 http://dx.doi.org/10.1515/med-2023-0825 |
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author | Li, Xiao-min Liu, Shan-peng Liu, Dan-man Li, Yu Cai, Xiao-ming Su, Yun Xie, Ze-feng |
author_facet | Li, Xiao-min Liu, Shan-peng Liu, Dan-man Li, Yu Cai, Xiao-ming Su, Yun Xie, Ze-feng |
author_sort | Li, Xiao-min |
collection | PubMed |
description | Lower-grade glioma (LGG), a prevalent malignant tumor in the central nervous system, requires accurate prediction and treatment to prevent aggressive progression. We aimed to explore the role of disulfidptosis-related genes (DRGs) in LGG, a recently discovered form of programmed cell death characterized by abnormal disulfide accumulation. Leveraging public databases, we analyzed 532 LGG tumor tissues (The Cancer Genome Atlas), 1,157 normal samples (Genotype-Tissue Expression), and 21 LGG tumor samples with 8 paired normal samples (GSE16011). Our research uncovered intricate relationships between DRGs and crucial aspects of LGG, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we identified significant heterogeneity among disulfidptosis sub-clusters and elucidated specific differential gene expression in LGG, with myeloid cell leukemia-1 (MCL1) as a key candidate. Machine learning techniques validated the relevance of MCL1, considering its expression patterns, prognostic value, diagnostic potential, and impact on immune infiltration. Our study offers opportunities and challenges to unravel potential mechanisms underlying LGG prognosis, paving the way for personalized cancer care and innovative immunotherapeutic strategies. By shedding light on DRGs, particularly MCL1, we enhance understanding and management of LGG. |
format | Online Article Text |
id | pubmed-10612529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-106125292023-10-29 Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma Li, Xiao-min Liu, Shan-peng Liu, Dan-man Li, Yu Cai, Xiao-ming Su, Yun Xie, Ze-feng Open Med (Wars) Research Article Lower-grade glioma (LGG), a prevalent malignant tumor in the central nervous system, requires accurate prediction and treatment to prevent aggressive progression. We aimed to explore the role of disulfidptosis-related genes (DRGs) in LGG, a recently discovered form of programmed cell death characterized by abnormal disulfide accumulation. Leveraging public databases, we analyzed 532 LGG tumor tissues (The Cancer Genome Atlas), 1,157 normal samples (Genotype-Tissue Expression), and 21 LGG tumor samples with 8 paired normal samples (GSE16011). Our research uncovered intricate relationships between DRGs and crucial aspects of LGG, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we identified significant heterogeneity among disulfidptosis sub-clusters and elucidated specific differential gene expression in LGG, with myeloid cell leukemia-1 (MCL1) as a key candidate. Machine learning techniques validated the relevance of MCL1, considering its expression patterns, prognostic value, diagnostic potential, and impact on immune infiltration. Our study offers opportunities and challenges to unravel potential mechanisms underlying LGG prognosis, paving the way for personalized cancer care and innovative immunotherapeutic strategies. By shedding light on DRGs, particularly MCL1, we enhance understanding and management of LGG. De Gruyter 2023-10-25 /pmc/articles/PMC10612529/ /pubmed/37900961 http://dx.doi.org/10.1515/med-2023-0825 Text en © 2023 the author(s), published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Li, Xiao-min Liu, Shan-peng Liu, Dan-man Li, Yu Cai, Xiao-ming Su, Yun Xie, Ze-feng Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma |
title | Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma |
title_full | Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma |
title_fullStr | Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma |
title_full_unstemmed | Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma |
title_short | Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma |
title_sort | identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612529/ https://www.ncbi.nlm.nih.gov/pubmed/37900961 http://dx.doi.org/10.1515/med-2023-0825 |
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