Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas
Abstract Objective Glioma was the most common type of intracranial malignant tumor. Even after standard treatment, the recurrence and malignant progression of lower-grade gliomas (LGGs) were almost inevitable. The overall survival (OS) of patients with LGG varied widely, making it critical for progn...
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BMC
2022-04-01
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Series: | BMC Cancer |
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Online Access: | https://doi.org/10.1186/s12885-022-09548-7 |
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author | Junsheng Li Jia Wang Yaowei Ding Jizong Zhao Wen Wang |
author_facet | Junsheng Li Jia Wang Yaowei Ding Jizong Zhao Wen Wang |
author_sort | Junsheng Li |
collection | DOAJ |
description | Abstract Objective Glioma was the most common type of intracranial malignant tumor. Even after standard treatment, the recurrence and malignant progression of lower-grade gliomas (LGGs) were almost inevitable. The overall survival (OS) of patients with LGG varied widely, making it critical for prognostic prediction. Small G Protein Signaling Modulator 1 (SGSM1) has hardly been studied in gliomas. Therefore, we aimed to investigate the prognostic role of SGSM1 and its relationship with immune infiltration in LGGs. Methods We obtained RNA sequencing data from The Cancer Genome Atlas (TCGA) to analyze SGSM1 expression. Functional enrichment analyses, immune infiltration analyses, immune checkpoint analyses, and clinicopathology analyses were performed. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. And nomogram model has been developed. Kaplan–Meier survival analysis and log-rank test were used to estimate the relationship between OS and SGSM1 expression. The survival analyses and Cox regression were validated in datasets from the Chinese Glioma Genome Atlas (CGGA). Results SGSM1 was significantly down-regulated in LGGs. Functional enrichment analyses revealed SGSM1 was correlated with immune response. Most immune cells and immune checkpoints were negatively correlated with SGSM1 expression. The Kaplan–Meier analyses showed that low SGSM1 expression was associated with a poor outcome in LGG and its subtypes. The Cox regression showed SGSM1 was an independent prognostic factor in patients with LGG (HR = 0.494, 95%CI = 0.311–0.784, P = 0.003). Conclusion SGSM1 was considered to be a new prognostic biomarker for patients with LGG. And our study provided a potential therapeutic target for LGG treatment. |
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institution | Directory Open Access Journal |
issn | 1471-2407 |
language | English |
last_indexed | 2024-04-13T18:16:42Z |
publishDate | 2022-04-01 |
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spelling | doaj.art-1b586ec6507b4635a7d5df7b4046f60c2022-12-22T02:35:39ZengBMCBMC Cancer1471-24072022-04-0122111410.1186/s12885-022-09548-7Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomasJunsheng Li0Jia Wang1Yaowei Ding2Jizong Zhao3Wen Wang4Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityAbstract Objective Glioma was the most common type of intracranial malignant tumor. Even after standard treatment, the recurrence and malignant progression of lower-grade gliomas (LGGs) were almost inevitable. The overall survival (OS) of patients with LGG varied widely, making it critical for prognostic prediction. Small G Protein Signaling Modulator 1 (SGSM1) has hardly been studied in gliomas. Therefore, we aimed to investigate the prognostic role of SGSM1 and its relationship with immune infiltration in LGGs. Methods We obtained RNA sequencing data from The Cancer Genome Atlas (TCGA) to analyze SGSM1 expression. Functional enrichment analyses, immune infiltration analyses, immune checkpoint analyses, and clinicopathology analyses were performed. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. And nomogram model has been developed. Kaplan–Meier survival analysis and log-rank test were used to estimate the relationship between OS and SGSM1 expression. The survival analyses and Cox regression were validated in datasets from the Chinese Glioma Genome Atlas (CGGA). Results SGSM1 was significantly down-regulated in LGGs. Functional enrichment analyses revealed SGSM1 was correlated with immune response. Most immune cells and immune checkpoints were negatively correlated with SGSM1 expression. The Kaplan–Meier analyses showed that low SGSM1 expression was associated with a poor outcome in LGG and its subtypes. The Cox regression showed SGSM1 was an independent prognostic factor in patients with LGG (HR = 0.494, 95%CI = 0.311–0.784, P = 0.003). Conclusion SGSM1 was considered to be a new prognostic biomarker for patients with LGG. And our study provided a potential therapeutic target for LGG treatment.https://doi.org/10.1186/s12885-022-09548-7SGSM1Lower-grade gliomaImmune infiltrationPrognosisBiomarker |
spellingShingle | Junsheng Li Jia Wang Yaowei Ding Jizong Zhao Wen Wang Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas BMC Cancer SGSM1 Lower-grade glioma Immune infiltration Prognosis Biomarker |
title | Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas |
title_full | Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas |
title_fullStr | Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas |
title_full_unstemmed | Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas |
title_short | Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas |
title_sort | prognostic biomarker sgsm1 and its correlation with immune infiltration in gliomas |
topic | SGSM1 Lower-grade glioma Immune infiltration Prognosis Biomarker |
url | https://doi.org/10.1186/s12885-022-09548-7 |
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