Cargando…

SMIM20: a new biological signal associated with the prognosis of glioblastoma

BACKGROUND: Glioblastoma multiforme (GBM) is the most prevalent fatal central nervous system tumor. Notably, the survival rates after surgical intervention and active radiotherapy are not optimistic. Therefore, identifying new GBM-related biomarkers is a top priority in current research. METHODS: Tr...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Kai, Shi, Yu, Luo, Wenzhang, Zhang, Tianyu, Bao, Kunyang, Huang, Changren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643959/
https://www.ncbi.nlm.nih.gov/pubmed/37969370
http://dx.doi.org/10.21037/tcr-23-796
_version_ 1785147181167017984
author Chen, Kai
Shi, Yu
Luo, Wenzhang
Zhang, Tianyu
Bao, Kunyang
Huang, Changren
author_facet Chen, Kai
Shi, Yu
Luo, Wenzhang
Zhang, Tianyu
Bao, Kunyang
Huang, Changren
author_sort Chen, Kai
collection PubMed
description BACKGROUND: Glioblastoma multiforme (GBM) is the most prevalent fatal central nervous system tumor. Notably, the survival rates after surgical intervention and active radiotherapy are not optimistic. Therefore, identifying new GBM-related biomarkers is a top priority in current research. METHODS: Transcriptome and clinical information of patients with GBM were obtained from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. According to the SMIM20 expression levels, the samples were divided into high- and low-expression groups and used for differential expression gene (DEG) analysis. Functional enrichment analyses, including Gene Ontology (GO), gene set enrichment analysis, and immune cell infiltration, were performed on SMIM20-related DEGs. Subsequently, univariate and multivariate Cox regression analyses were performed to screen the risk factors associated with the poor prognosis of SMIM20, and the clinical significance of SMIM20 in GBM was explored by constructing a prognostic nomogram. RESULTS: In total, 156 DEGs were screened, of which 131 were upregulated and 25 were downregulated. Kaplan-Meier analysis revealed that the total survival time of the SMIM20 high expression group was significantly lower than that of the SMIM20 low-expression group. Finally, the nomogram map had good predictive value for evaluating GBM prognosis of patients. CONCLUSIONS: High expression of SMIM20 is associated with poor outcomes in GBM. The DEGs and pathways identified in this study reveal potential molecular mechanisms underlying the occurrence and progression of GBM. Our study identifies potential new biomarkers and therapeutic targets for the treatment of GBM.
format Online
Article
Text
id pubmed-10643959
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-106439592023-11-15 SMIM20: a new biological signal associated with the prognosis of glioblastoma Chen, Kai Shi, Yu Luo, Wenzhang Zhang, Tianyu Bao, Kunyang Huang, Changren Transl Cancer Res Original Article BACKGROUND: Glioblastoma multiforme (GBM) is the most prevalent fatal central nervous system tumor. Notably, the survival rates after surgical intervention and active radiotherapy are not optimistic. Therefore, identifying new GBM-related biomarkers is a top priority in current research. METHODS: Transcriptome and clinical information of patients with GBM were obtained from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. According to the SMIM20 expression levels, the samples were divided into high- and low-expression groups and used for differential expression gene (DEG) analysis. Functional enrichment analyses, including Gene Ontology (GO), gene set enrichment analysis, and immune cell infiltration, were performed on SMIM20-related DEGs. Subsequently, univariate and multivariate Cox regression analyses were performed to screen the risk factors associated with the poor prognosis of SMIM20, and the clinical significance of SMIM20 in GBM was explored by constructing a prognostic nomogram. RESULTS: In total, 156 DEGs were screened, of which 131 were upregulated and 25 were downregulated. Kaplan-Meier analysis revealed that the total survival time of the SMIM20 high expression group was significantly lower than that of the SMIM20 low-expression group. Finally, the nomogram map had good predictive value for evaluating GBM prognosis of patients. CONCLUSIONS: High expression of SMIM20 is associated with poor outcomes in GBM. The DEGs and pathways identified in this study reveal potential molecular mechanisms underlying the occurrence and progression of GBM. Our study identifies potential new biomarkers and therapeutic targets for the treatment of GBM. AME Publishing Company 2023-10-16 2023-10-31 /pmc/articles/PMC10643959/ /pubmed/37969370 http://dx.doi.org/10.21037/tcr-23-796 Text en 2023 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chen, Kai
Shi, Yu
Luo, Wenzhang
Zhang, Tianyu
Bao, Kunyang
Huang, Changren
SMIM20: a new biological signal associated with the prognosis of glioblastoma
title SMIM20: a new biological signal associated with the prognosis of glioblastoma
title_full SMIM20: a new biological signal associated with the prognosis of glioblastoma
title_fullStr SMIM20: a new biological signal associated with the prognosis of glioblastoma
title_full_unstemmed SMIM20: a new biological signal associated with the prognosis of glioblastoma
title_short SMIM20: a new biological signal associated with the prognosis of glioblastoma
title_sort smim20: a new biological signal associated with the prognosis of glioblastoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643959/
https://www.ncbi.nlm.nih.gov/pubmed/37969370
http://dx.doi.org/10.21037/tcr-23-796
work_keys_str_mv AT chenkai smim20anewbiologicalsignalassociatedwiththeprognosisofglioblastoma
AT shiyu smim20anewbiologicalsignalassociatedwiththeprognosisofglioblastoma
AT luowenzhang smim20anewbiologicalsignalassociatedwiththeprognosisofglioblastoma
AT zhangtianyu smim20anewbiologicalsignalassociatedwiththeprognosisofglioblastoma
AT baokunyang smim20anewbiologicalsignalassociatedwiththeprognosisofglioblastoma
AT huangchangren smim20anewbiologicalsignalassociatedwiththeprognosisofglioblastoma