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A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma

BACKGROUND: Skin cutaneous melanoma (SKCM) is the most frequently encountered tumor of the skin. Immunotherapy has opened a new horizon in melanoma treatment. We aimed to construct a CD8(+) T cell-associated immune gene prognostic model (CDIGPM) for SKCM and unravel the immunologic features and the...

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Autores principales: Sun, Shanwen, Zhi, Zhengke, Su, Yang, Sun, Jingxian, Li, Qianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633226/
https://www.ncbi.nlm.nih.gov/pubmed/36341357
http://dx.doi.org/10.3389/fimmu.2022.1039565
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author Sun, Shanwen
Zhi, Zhengke
Su, Yang
Sun, Jingxian
Li, Qianjun
author_facet Sun, Shanwen
Zhi, Zhengke
Su, Yang
Sun, Jingxian
Li, Qianjun
author_sort Sun, Shanwen
collection PubMed
description BACKGROUND: Skin cutaneous melanoma (SKCM) is the most frequently encountered tumor of the skin. Immunotherapy has opened a new horizon in melanoma treatment. We aimed to construct a CD8(+) T cell-associated immune gene prognostic model (CDIGPM) for SKCM and unravel the immunologic features and the benefits of immunotherapy in CDIGPM-defined SKCM groups. METHOD: Single-cell SKCM transcriptomes were utilized in conjunction with immune genes for the screening of CD8(+) T cell-associated immune genes (CDIGs) for succeeding assessment. Thereafter, through protein-protein interaction (PPI) networks analysis, univariate COX analysis, and multivariate Cox analysis, six genes (MX1, RSAD2, IRF2, GBP2, IFITM1, and OAS2) were identified to construct a CDIGPM. We detected cell proliferation of SKCM cells transfected with IRF2 siRNA. Then, we analyzed the immunologic features and the benefits of immunotherapy in CDIGPM-defined groups. RESULTS: The overall survival (OS) was much better in low-CDIGPM group versus high CDIGPM group in TCGA dataset and GSE65904 dataset. On the whole, the results unfolded that a low CDIGPM showed relevance to immune response-correlated pathways, high expressions of CTLA4 and PD-L1, a high infiltration rate of CD8(+) T cells, and more benefits from immunotherapy. CONCLUSION: CDIGPM is an good model to predict the prognosis, the potential immune escape from immunotherapy for SKCM, and define immunologic and molecular features.
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spelling pubmed-96332262022-11-04 A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma Sun, Shanwen Zhi, Zhengke Su, Yang Sun, Jingxian Li, Qianjun Front Immunol Immunology BACKGROUND: Skin cutaneous melanoma (SKCM) is the most frequently encountered tumor of the skin. Immunotherapy has opened a new horizon in melanoma treatment. We aimed to construct a CD8(+) T cell-associated immune gene prognostic model (CDIGPM) for SKCM and unravel the immunologic features and the benefits of immunotherapy in CDIGPM-defined SKCM groups. METHOD: Single-cell SKCM transcriptomes were utilized in conjunction with immune genes for the screening of CD8(+) T cell-associated immune genes (CDIGs) for succeeding assessment. Thereafter, through protein-protein interaction (PPI) networks analysis, univariate COX analysis, and multivariate Cox analysis, six genes (MX1, RSAD2, IRF2, GBP2, IFITM1, and OAS2) were identified to construct a CDIGPM. We detected cell proliferation of SKCM cells transfected with IRF2 siRNA. Then, we analyzed the immunologic features and the benefits of immunotherapy in CDIGPM-defined groups. RESULTS: The overall survival (OS) was much better in low-CDIGPM group versus high CDIGPM group in TCGA dataset and GSE65904 dataset. On the whole, the results unfolded that a low CDIGPM showed relevance to immune response-correlated pathways, high expressions of CTLA4 and PD-L1, a high infiltration rate of CD8(+) T cells, and more benefits from immunotherapy. CONCLUSION: CDIGPM is an good model to predict the prognosis, the potential immune escape from immunotherapy for SKCM, and define immunologic and molecular features. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9633226/ /pubmed/36341357 http://dx.doi.org/10.3389/fimmu.2022.1039565 Text en Copyright © 2022 Sun, Zhi, Su, Sun and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Sun, Shanwen
Zhi, Zhengke
Su, Yang
Sun, Jingxian
Li, Qianjun
A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma
title A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma
title_full A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma
title_fullStr A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma
title_full_unstemmed A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma
title_short A CD8(+) T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma
title_sort cd8(+) t cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633226/
https://www.ncbi.nlm.nih.gov/pubmed/36341357
http://dx.doi.org/10.3389/fimmu.2022.1039565
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