Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784824215302569984 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9633226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sunshanwen acd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT zhizhengke acd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT suyang acd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT sunjingxian acd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT liqianjun acd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT sunshanwen cd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT zhizhengke cd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT suyang cd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT sunjingxian cd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma AT liqianjun cd8tcellassociatedimmunegenepanelforpredictionoftheprognosisandimmunotherapeuticeffectofmelanoma |