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pmid:35242144

A Necroptosis-Related Prognostic Model of Uveal Melanoma Was Constructed by Single-Cell Sequencing Analysis and Weighted Co-Expression Network Analysis Based on Public Databases.

Jiaheng Xie · Liang Chen · Qikai Tang · Wei Wei · Yuan Cao · Chuyan Wu · Jing Hang · Kai Zhang · Jingping Shi · Ming Wang

Frontiers in immunology · 2022 doi:10.3389/fimmu.2022.847624

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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title
A Necroptosis-Related Prognostic Model of Uveal Melanoma Was Constructed by Single-Cell Sequencing Analysis and Weighted Co-Expression Network Analysis Based on Public Databases.
doi
10.3389/fimmu.2022.847624
pmid
35242144
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[0]
Jiaheng Xie
[1]
Liang Chen
[2]
Qikai Tang
[3]
Wei Wei
[4]
Yuan Cao
[5]
Chuyan Wu
[6]
Jing Hang
[7]
Kai Zhang
[8]
Jingping Shi
[9]
Ming Wang
journal
Frontiers in immunology
year
2022
abstract
BACKGROUND: Uveal melanoma(UVM) is the most common intraocular malignancy and has a poor prognosis. The clinical significance of necroptosis(NCPS) in UVM is unclear. METHODS: We first identified necroptosis genes in UVM by single-cell analysis of the GSE139829 dataset from the GEO database and weighted co-expression network analysis of TCGA data. COX regression and Lasso regression were used to construct the prognostic model. Then survival analysis, immune microenvironment analysis, and mutation analysis were carried out. Finally, cell experiments were performed to verify the role of ITPA in UVM. RESULT: By necroptosis-related prognostic model, UVM patients in both TCGA and GEO cohorts could be classified as high-NCPS and low-NCPS groups, with significant differences in survival time between the two groups (P<0.001). Besides, the high-NCPS group had higher levels of immune checkpoint-related gene expression, suggesting that they might be more likely to benefit from immunotherapy. The cell experiments confirmed the role of ITPA, the most significant gene in the model, in UVM. After ITPA was knocked down, the activity, proliferation, and invasion ability of the MuM-2B cell line were significantly reduced. CONCLUSION: Our study can provide a reference for the diagnosis and treatment of patients with UVM.
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COX regression and Lasso regression were used to construct the prognostic model.
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By necroptosis-related prognostic model, UVM patients in both TCGA and GEO cohorts could be classified as high-NCPS and low-NCPS groups, with significant differences in survival time between the two groups (P<0.001).
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By necroptosis-related prognostic model, UVM patients in both TCGA and GEO cohorts could be classified as high-NCPS and low-NCPS groups, with significant differences in survival time between the two groups (P<0.001).
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By necroptosis-related prognostic model, UVM patients in both TCGA and GEO cohorts could be classified as high-NCPS and low-NCPS groups, with significant differences in survival time between the two groups (P<0.001).
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Upregulation of HLA expression in primary Uveal Melanoma by infiltrating leukocytes
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highest mutation frequency. Cell Culture and Transfection Human Uveal Melanoma cells were purchased fr
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Complete file
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The clinical significance of necroptosis(NCPS) in UVM is unclear.\nMETHODS: We first identified necroptosis genes in UVM by single-cell analysis of the GSE139829 dataset from the GEO database and weighted co-expression network analysis of TCGA data. COX regression and Lasso regression were used to construct the prognostic model. Then survival analysis, immune microenvironment analysis, and mutation analysis were carried out. Finally, cell experiments were performed to verify the role of ITPA in UVM.\nRESULT: By necroptosis-related prognostic model, UVM patients in both TCGA and GEO cohorts could be classified as high-NCPS and low-NCPS groups, with significant differences in survival time between the two groups (P<0.001). Besides, the high-NCPS group had higher levels of immune checkpoint-related gene expression, suggesting that they might be more likely to benefit from immunotherapy. The cell experiments confirmed the role of ITPA, the most significant gene in the model, in UVM. 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