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pmid:34220795

9-Gene Signature Correlated With CD8+ T Cell Infiltration Activated by IFN-γ: A Biomarker of Immune Checkpoint Therapy Response in Melanoma.

Kexin Yan · Yuxiu Lu · Zhangyong Yan · Yutao Wang

Frontiers in immunology · 2021 doi:10.3389/fimmu.2021.622563

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title
9-Gene Signature Correlated With CD8+ T Cell Infiltration Activated by IFN-γ: A Biomarker of Immune Checkpoint Therapy Response in Melanoma.
doi
10.3389/fimmu.2021.622563
pmid
34220795
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Kexin Yan
[1]
Yuxiu Lu
[2]
Zhangyong Yan
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Yutao Wang
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Frontiers in immunology
year
2021
abstract
Purpose: To identify CD8+ T cell-related factors and the co-expression network in melanoma and illustrate the interactions among CD8+ T cell-related genes in the melanoma tumor microenvironment. Method: We obtained melanoma and paracancerous tissue mRNA matrices from TCGA-SKCM and GSE65904. The CIBERSORT algorithm was used to assess CD8+ T cell proportions, and the "estimate" package was used to assess melanoma tumor microenvironment purity. Weighted gene co-expression network analysis was used to identify the most related co-expression modules in TCGA-SKCM and GSE65904. Subsequently, a co-expression network was built based on the joint results in the two cohorts. Subsequently, we identified the core genes of the two most relevant modules of CD8+T lymphocytes according to the module correlation, and constructed the signature using ssGSEA. Later, we compared the signature with the existing classical pathways and gene sets, and confirmed the important prognostic significance of the signature in this paper. Results: Nine co-expressed genes were identified as CD8+ T cell-related genes enriched in the cellular response to interferon-gamma process and antigen processing and presentation of peptide antigen. In the low expression level group, inflammation and immune responses were weaker. Single-cell sequencing and immunohistochemistry indicated that these nine genes were highly expressed in CD8+ T cells group. Conclusion: We identified nine-gene signature, and the signature is considered as the biomarker for T lymphocyte response and clinical response to immune checkpoint inhibitors for melanoma.
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Publicly available datasets were analyzed in this study. The data set of this article was downloaded from the open source database TCGA and GEO. TCGA: (http://cancergenome.nih.gov/); GEO: GSE65904, GSE78220, GSE72056, GSE91061 and GSE93157 were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo/).
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Publicly available datasets were analyzed in this study. The data set of this article was downloaded from the open source database TCGA and GEO. TCGA: (http://cancergenome.nih.gov/); GEO: GSE65904, GSE78220, GSE72056, GSE91061 and GSE93157 were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo/).
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The correlation between 9-gene signature with immune response related gene signature in TCGA-SKCM and GSE65904.
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nses were weaker. Single-cell sequencing and immunohistochemistry indicated that these nine genes were highly
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Kaplan–Meier survival analysis was used to generate overall survival curves, and the log-rank test was used to calculate the significance.
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Complete file
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The CIBERSORT algorithm was used to assess CD8+ T cell proportions, and the \"estimate\" package was used to assess melanoma tumor microenvironment purity. Weighted gene co-expression network analysis was used to identify the most related co-expression modules in TCGA-SKCM and GSE65904. Subsequently, a co-expression network was built based on the joint results in the two cohorts. Subsequently, we identified the core genes of the two most relevant modules of CD8+T lymphocytes according to the module correlation, and constructed the signature using ssGSEA. Later, we compared the signature with the existing classical pathways and gene sets, and confirmed the important prognostic significance of the signature in this paper.\nResults: Nine co-expressed genes were identified as CD8+ T cell-related genes enriched in the cellular response to interferon-gamma process and antigen processing and presentation of peptide antigen. In the low expression level group, inflammation and immune responses were weaker. 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