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pmid:35702880

Development and validation of a leukocyte-associated immunoglobulin-like receptor-1 prognostic signature for lower-grade gliomas.

Zhansheng Fang · Li Lin · Zewei Tu · Xingen Zhu · Jingying Li · Pengxiang Luo · Kai Huang · Lei Wu

Cancer medicine · 2023 doi:10.1002/cam4.4945

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Development and validation of a leukocyte-associated immunoglobulin-like receptor-1 prognostic signature for lower-grade gliomas.
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10.1002/cam4.4945
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Zhansheng Fang
[1]
Li Lin
[2]
Zewei Tu
[3]
Xingen Zhu
[4]
Jingying Li
[5]
Pengxiang Luo
[6]
Kai Huang
[7]
Lei Wu
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Cancer medicine
year
2023
abstract
OBJECTIVE: Leukocyte-associated immunoglobulin-like receptor-1 (LAIR-1), is an immunosuppressive receptor, widely expressed by immune cells, but the part of LAIR-1 in glioma progression remains unclear. The purpose of this study was to explore the relationship between LAIR-1 expression and the development of lower-grade glioma (LGG) using publicly available data sets. METHODS: We took advantage of The Cancer Genome Atlas (TCGA) to analyze the expression of LAIR-1 in patients with LGG. Second, Kaplan-Meier methods and univariate and multivariate Cox regression analyses were used to examine the clinical significance of LAIR-1 expression in combination with CGGA databases, and then receiver operating characteristic curve analysis was used to verify the prognostic utility of LAIR-1. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene set enrichment analysis (GSEA) were used to explore the function of LAIR-1. Analysis of the correlation with immune infiltration was conducted using the ESTIMATE algorithm and single sample gene set enrichment analysis. RESULTS: Our results showed that LAIR-1 expression to be positively correlated with malignant clinicopathologic features of LGG. Univariate analysis and multivariate analysis revealed that overexpression of LAIR-1 was correlated with a worse prognosis in patients. A nomogram model combining LAIR-1 was more useful in guiding clinical diagnosis, and functional enrichment analysis showed that malignant development of glioma was closely affiliated with the tumor immune microenvironment. CONCLUSION: These results indicate that LAIR 1 is a latent marker for determining the prognosis of LGG patients. LAIR 1 may also participate a critical part in TIME of LGG by regulating the infiltration of immune cells, suggesting that LAIR 1 might be used as a therapeutic target to regulate the antitumor immune response.
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The relationships between LAIR‐1 expression and clinical outcomes of patients were determined via univariate and multivariate Cox regression analyses (Table 2). Kaplan–Meier survival analysis was utilized to contrast the OS of patients with high and low LAIR‐1 expression in the five datasets (TCGA dataset, the CGGA, and the GEO databases). The predictive power of LAIR‐1 expression in terms of prognosis was estimated by receiver operating characteristic (ROC) curves.
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The purpose of this study was to explore the relationship between LAIR-1 expression and the development of lower-grade glioma (LGG) using publicly available data sets.\nMETHODS: We took advantage of The Cancer Genome Atlas (TCGA) to analyze the expression of LAIR-1 in patients with LGG. Second, Kaplan-Meier methods and univariate and multivariate Cox regression analyses were used to examine the clinical significance of LAIR-1 expression in combination with CGGA databases, and then receiver operating characteristic curve analysis was used to verify the prognostic utility of LAIR-1. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene set enrichment analysis (GSEA) were used to explore the function of LAIR-1. 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Bt142 mut and NHA cell lines were maintained in Dulbecco's modified Eagle medium/F12 medi", "fied Eagle medium/F12 medium. NHA cells were cultured in an incubator with 5% CO2 at 37°C, whereas Bt", "SW‐1783, and SW‐1088 human glioma cells were cultured in an incubator under normal oxygen conditions"], "order_basis": "paper_text_order:5093", "id": "assay:1"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["D274, CD80, PDCD1, and TNFRSF14 gene in LGG. In vivo experimental validation Analyses of immunohi"], "order_basis": "paper_text_order:12181", "id": "assay:2"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["In vivo experimental validation Analyses of immunohistochemical images of gliomas indicated that the protein", "< 0.001, ****p < 0.0001. ns (non‐sense) (D) Immunofluorescence images of LAIR‐1 expression in SW‐1088 cell.", "e. (Figure 9D). (A) Representative images of IHC staining for LAIR‐1 protein on gliomas tissu"], "order_basis": "paper_text_order:12226", "id": "assay:3"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The relationships between LAIR‐1 expression and clinical outcomes of patients were determined via univariate and multivariate Cox regression analyses (Table 2). Kaplan–Meier survival analysis was utilized to contrast the OS of patients with high and low LAIR‐1 expression in the five datasets (TCGA dataset, the CGGA, and the GEO databases). The predictive power of LAIR‐1 expression in terms of prognosis was estimated by receiver operating characteristic (ROC) curves."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}