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The genes significantly associated with an improved prognosis and long-term survival of glioblastoma

BACKGROUND AND PURPOSE: Glioblastoma multiforme (GBM) is the most devastating brain tumor with less than 5% of patients surviving 5 years following diagnosis. Many studies have focused on the genetics of GBM with the aim of improving the prognosis of GBM patients. We investigated specific genes whos...

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Autores principales: Yoon, Hong Gyu, Cheong, Jin Hwan, Ryu, Je Il, Won, Yu Deok, Min, Kyueng-Whan, Han, Myung-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686432/
https://www.ncbi.nlm.nih.gov/pubmed/38019838
http://dx.doi.org/10.1371/journal.pone.0295061
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author Yoon, Hong Gyu
Cheong, Jin Hwan
Ryu, Je Il
Won, Yu Deok
Min, Kyueng-Whan
Han, Myung-Hoon
author_facet Yoon, Hong Gyu
Cheong, Jin Hwan
Ryu, Je Il
Won, Yu Deok
Min, Kyueng-Whan
Han, Myung-Hoon
author_sort Yoon, Hong Gyu
collection PubMed
description BACKGROUND AND PURPOSE: Glioblastoma multiforme (GBM) is the most devastating brain tumor with less than 5% of patients surviving 5 years following diagnosis. Many studies have focused on the genetics of GBM with the aim of improving the prognosis of GBM patients. We investigated specific genes whose expressions are significantly related to both the length of the overall survival and the progression-free survival in patients with GBM. METHODS: We obtained data for 12,042 gene mRNA expressions in 525 GBM tissues from the Cancer Genome Atlas (TCGA) database. Among those genes, we identified independent genes significantly associated with the prognosis of GBM. Receiver operating characteristic (ROC) curve analysis was performed to determine the genes significant for predicting the long-term survival of patients with GBM. Bioinformatics analysis was also performed for the significant genes. RESULTS: We identified 33 independent genes whose expressions were significantly associated with the prognosis of 525 patients with GBM. Among them, the expressions of five genes were independently associated with an improved prognosis of GBM, and the expressions of 28 genes were independently related to a poorer prognosis of GBM. The expressions of the ADAM22, ATP5C1, RAC3, SHANK1, AEBP1, C1RL, CHL1, CHST2, EFEMP2, and PGCP genes were either positively or negatively related to the long-term survival of GBM patients. CONCLUSIONS: Using a large-scale and open database, we found genes significantly associated with both the prognosis and long-term survival of patients with GBM. We believe that our findings may contribute to improving the understanding of the mechanisms underlying GBM.
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spelling pubmed-106864322023-11-30 The genes significantly associated with an improved prognosis and long-term survival of glioblastoma Yoon, Hong Gyu Cheong, Jin Hwan Ryu, Je Il Won, Yu Deok Min, Kyueng-Whan Han, Myung-Hoon PLoS One Research Article BACKGROUND AND PURPOSE: Glioblastoma multiforme (GBM) is the most devastating brain tumor with less than 5% of patients surviving 5 years following diagnosis. Many studies have focused on the genetics of GBM with the aim of improving the prognosis of GBM patients. We investigated specific genes whose expressions are significantly related to both the length of the overall survival and the progression-free survival in patients with GBM. METHODS: We obtained data for 12,042 gene mRNA expressions in 525 GBM tissues from the Cancer Genome Atlas (TCGA) database. Among those genes, we identified independent genes significantly associated with the prognosis of GBM. Receiver operating characteristic (ROC) curve analysis was performed to determine the genes significant for predicting the long-term survival of patients with GBM. Bioinformatics analysis was also performed for the significant genes. RESULTS: We identified 33 independent genes whose expressions were significantly associated with the prognosis of 525 patients with GBM. Among them, the expressions of five genes were independently associated with an improved prognosis of GBM, and the expressions of 28 genes were independently related to a poorer prognosis of GBM. The expressions of the ADAM22, ATP5C1, RAC3, SHANK1, AEBP1, C1RL, CHL1, CHST2, EFEMP2, and PGCP genes were either positively or negatively related to the long-term survival of GBM patients. CONCLUSIONS: Using a large-scale and open database, we found genes significantly associated with both the prognosis and long-term survival of patients with GBM. We believe that our findings may contribute to improving the understanding of the mechanisms underlying GBM. Public Library of Science 2023-11-29 /pmc/articles/PMC10686432/ /pubmed/38019838 http://dx.doi.org/10.1371/journal.pone.0295061 Text en © 2023 Yoon et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yoon, Hong Gyu
Cheong, Jin Hwan
Ryu, Je Il
Won, Yu Deok
Min, Kyueng-Whan
Han, Myung-Hoon
The genes significantly associated with an improved prognosis and long-term survival of glioblastoma
title The genes significantly associated with an improved prognosis and long-term survival of glioblastoma
title_full The genes significantly associated with an improved prognosis and long-term survival of glioblastoma
title_fullStr The genes significantly associated with an improved prognosis and long-term survival of glioblastoma
title_full_unstemmed The genes significantly associated with an improved prognosis and long-term survival of glioblastoma
title_short The genes significantly associated with an improved prognosis and long-term survival of glioblastoma
title_sort genes significantly associated with an improved prognosis and long-term survival of glioblastoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686432/
https://www.ncbi.nlm.nih.gov/pubmed/38019838
http://dx.doi.org/10.1371/journal.pone.0295061
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