Cargando…
The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma
BACKGROUND: Increasing evidences have revealed the tumor immune microenvironment not only has vital impacts on the origin, progression, and metastasis of tumors significantly but also influences the response to immunotherapy. Nonetheless, to date, the well-rounded expression pattern of immune-relate...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502579/ https://www.ncbi.nlm.nih.gov/pubmed/36138406 http://dx.doi.org/10.1186/s12957-022-02767-z |
_version_ | 1784795741186686976 |
---|---|
author | Dong, Dong Wang, Wei Wang, Heng Chen, Liang Liu, Tianyi |
author_facet | Dong, Dong Wang, Wei Wang, Heng Chen, Liang Liu, Tianyi |
author_sort | Dong, Dong |
collection | PubMed |
description | BACKGROUND: Increasing evidences have revealed the tumor immune microenvironment not only has vital impacts on the origin, progression, and metastasis of tumors significantly but also influences the response to immunotherapy. Nonetheless, to date, the well-rounded expression pattern of immune-related genes in cutaneous melanoma and the comprehensive characterization of tumor immune microenvironment remain not clearly elucidated. METHOD: We comprehensively evaluated the well-rounded expression pattern of immune-related genes of 686 patients with cutaneous melanoma based on immune-related genes with prognostic value and systematically correlated the expression pattern of these genes with the comprehensive characterization of tumor immune microenvironment. The IRGscore was constructed to quantify immunological function of individual using principal component analysis algorithms. RESULT: Three distinct immune subtypes were determined with obvious survival differences. Melanoma patients with high IRGscore was characterized by comprehensive suppression of immune function, showing much poorer prognosis and efficacy for immunotherapy, while the low IRGscore means the robust activation of immune function and the better effect of immunotherapy, which may be responsible for a better prognosis. Besides, the prognostic ability of IRGscore was further validated by the independent dataset of stomach cancers. Furthermore, the predictive effect of immunotherapeutic benefits of IRGscore was demonstrated by the independent dataset of melanoma patients accepting immunotherapy and another predictive model for immunotherapy. CONCLUSION: IRGscore could serve as an independent immunotherapeutic and prognostic predictor, thereby facilitating the identification of appropriate candidates with cutaneous melanoma for immunotherapy and the formulation of individualized therapeutic approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02767-z. |
format | Online Article Text |
id | pubmed-9502579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95025792022-09-24 The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma Dong, Dong Wang, Wei Wang, Heng Chen, Liang Liu, Tianyi World J Surg Oncol Research BACKGROUND: Increasing evidences have revealed the tumor immune microenvironment not only has vital impacts on the origin, progression, and metastasis of tumors significantly but also influences the response to immunotherapy. Nonetheless, to date, the well-rounded expression pattern of immune-related genes in cutaneous melanoma and the comprehensive characterization of tumor immune microenvironment remain not clearly elucidated. METHOD: We comprehensively evaluated the well-rounded expression pattern of immune-related genes of 686 patients with cutaneous melanoma based on immune-related genes with prognostic value and systematically correlated the expression pattern of these genes with the comprehensive characterization of tumor immune microenvironment. The IRGscore was constructed to quantify immunological function of individual using principal component analysis algorithms. RESULT: Three distinct immune subtypes were determined with obvious survival differences. Melanoma patients with high IRGscore was characterized by comprehensive suppression of immune function, showing much poorer prognosis and efficacy for immunotherapy, while the low IRGscore means the robust activation of immune function and the better effect of immunotherapy, which may be responsible for a better prognosis. Besides, the prognostic ability of IRGscore was further validated by the independent dataset of stomach cancers. Furthermore, the predictive effect of immunotherapeutic benefits of IRGscore was demonstrated by the independent dataset of melanoma patients accepting immunotherapy and another predictive model for immunotherapy. CONCLUSION: IRGscore could serve as an independent immunotherapeutic and prognostic predictor, thereby facilitating the identification of appropriate candidates with cutaneous melanoma for immunotherapy and the formulation of individualized therapeutic approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02767-z. BioMed Central 2022-09-22 /pmc/articles/PMC9502579/ /pubmed/36138406 http://dx.doi.org/10.1186/s12957-022-02767-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dong, Dong Wang, Wei Wang, Heng Chen, Liang Liu, Tianyi The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma |
title | The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma |
title_full | The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma |
title_fullStr | The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma |
title_full_unstemmed | The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma |
title_short | The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma |
title_sort | expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502579/ https://www.ncbi.nlm.nih.gov/pubmed/36138406 http://dx.doi.org/10.1186/s12957-022-02767-z |
work_keys_str_mv | AT dongdong theexpressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT wangwei theexpressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT wangheng theexpressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT chenliang theexpressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT liutianyi theexpressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT dongdong expressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT wangwei expressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT wangheng expressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT chenliang expressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma AT liutianyi expressionpatternofimmunerelatedgenesandcharacterizationoftumorimmunemicroenvironmentpredictingprognosisandimmunotherapeuticeffectsincutaneousmelanoma |