A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes

Liu, Yi; Wang, Tong; Li, Ronghua

doi:10.1186/s12903-022-02358-0

Cited by 5 publications

(4 citation statements)

References 49 publications

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“…Our study on colon adenocarcinoma revealed that STC2 expression was also associated with CD4 + T and CD8 + T cells. Also, study reported that the prognostic risk score was positively correlated with CD4 + T content, but not B lymphocyte, CD8 + T, neutrophil, macrophage, and dendritic cell content, in patients with esophageal squamous cell carcinoma (Liu et al, 2021). STC2 is a risk gene significantly associated with OS in patients with esophageal squamous cell carcinoma.…”

Section: Discussionmentioning

confidence: 93%

Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers

Zhu

Liu²,

Wang³

et al. 2023

Front. Genet.

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Epidemiological studies have shown that air pollution and particulate matter (PM) are closely related to the occurrence of cancer. However, the potential prognostic and immunological biomarkers for air pollution related cancers are lacking. In this study, we proved PM2.5 exposure was correlated with lung cancer through transcriptome analysis. Importantly, we identified STC2 as a key gene regulated by PM2.5, whose expression in epithelial cells was significantly increased after PM2.5 treatment and validated by using RT-qPCR and immunofluorescence. Kaplan-Meier OS curves suggested that high STC2 expression positively correlated with a poor prognosis in lung cancer. Furthermore, we discovered that STC2 was associated with multiple cancers and pathways in cancer. Next, Pan-Cancer Expression Landscape of STC2 showed that STC2 exhibited inconsistent expression across 26 types of human cancer, lower in KIRP in cancer versus adjacent normal tissues, and significantly higher in another cancers. Cox regression results suggested that STC2 expression was positively or negatively associated with prognosis in different cancers. Moreover, STC2 expression was associated with clinical phenotypes including age, gender, stage and grade. Mutation features of STC2 were also analyzed, in which the highest alteration frequency of STC2 was presented in KIRC with amplification. Meanwhile, the effects of copy number variation (CNV) on STC2 expression were investigated across various tumor types, suggesting that STC2 expression was significantly correlated with CNV in tumors. Additionally, STC2 was closely related to tumor heterogeneity, tumor stemness and tumor immune microenvironment like immune cell infiltration. In the meantime, we analyzed methylation modifications and immunological correlation of STC2. The results demonstrated that STC2 expression positively correlated with most RNA methylation genes and immunomodulators across tumors. Taken together, the findings revealed that PM2.5-induced STC2 might be a potential prognostic and immunological biomarker for cancers related to air pollution.

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Section: Discussionmentioning

confidence: 93%

Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers

Zhu

Liu²,

Wang³

et al. 2023

Front. Genet.

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“…We have obtained five gene construction risk signature, of which IGSF11 has been shown to be associated with glycolysis of breast cancer [ 37 ], and the other four genes are associated with tumor migration and invasion [ [38] , [39] , [40] , [41] ]. However, the relationship between these four genes and glycolysis has not been reported in the studies.…”

Section: Discussionmentioning

confidence: 99%

Integration RNA bulk and single cell RNA sequencing to explore the change of glycolysis-related immune microenvironment and construct prognostic signature in head and neck squamous cell carcinoma

Nie,

Cao,

Yang

et al. 2024

Translational Oncology

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“…Multivariate Cox analysis confirmed that the prognostic risk model could be used as an independent prognostic factor independent of other clinicopathological features. Numerous studies have reported that the prognosis of cancer patients could be accurately predicted by constructing immunogenetic prognostic risk models. − In our study, we constructed a prognostic risk model for HCC based on immune genes that could effectively assess clinical outcomes and provide guidance for the treatment and prognosis of HCC patients.…”

Section: Discussionmentioning

confidence: 99%

CDK1-SRC Interaction-Dependent Transcriptional Activation of HSP90AB1 Promotes Antitumor Immunity in Hepatocellular Carcinoma

Zhang,

2023

J. Proteome Res.

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This study aimed to analyze multiomics data and construct a regulatory network involving kinases, transcription factors, and immune genes in hepatocellular carcinoma (HCC) prognosis. The researchers used transcriptomic, proteomic, and clinical data from TCGA and GEO databases to identify immune genes associated with HCC. Statistical analysis, meta-analysis, and protein−protein interaction analyses were performed to identify key immune genes and their relationships. In vitro and in vivo experiments validated the CDK1-SRC-HSP90AB1 network's effects on HCC progression and antitumor immunity. A prognostic risk model was developed using clinicopathological features and immune infiltration. The immune genes LPA, BIRC5, HSP90AB1, ROBO1, and CCL20 were identified as the key prognostic factors. The CDK1-SRC-HSP90AB1 network promoted HCC cell proliferation and migration, with HSP90AB1 being transcriptionally activated by the CDK1−SRC interaction. Manipulating SRC or HSP90AB1 reversed the effects of CDK1 and SRC on HCC. The CDK1-SRC-HSP90AB1 network also influenced HCC tumor formation and antitumor immunity. Overall, this study highlights the importance of the CDK1-SRC-HSP90AB1 network as a crucial immune-regulatory network in the HCC prognosis.

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A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes

Cited by 5 publications

References 49 publications

Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers

Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers

Integration RNA bulk and single cell RNA sequencing to explore the change of glycolysis-related immune microenvironment and construct prognostic signature in head and neck squamous cell carcinoma

CDK1-SRC Interaction-Dependent Transcriptional Activation of HSP90AB1 Promotes Antitumor Immunity in Hepatocellular Carcinoma

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