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Immune gene signatures as prognostic criteria for cancer patients
Recently, the possibility of using immune gene signatures (IGSs) has been considered as a novel prognostic tool for numerous cancer types. State-of-the-art methods of genomic, transcriptomic, and protein analysis have allowed the identification of a number of immune signatures correlated to disease...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399276/ https://www.ncbi.nlm.nih.gov/pubmed/37547445 http://dx.doi.org/10.1177/17588359231189436 |
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author | Larionova, Irina Tashireva, Liubov |
author_facet | Larionova, Irina Tashireva, Liubov |
author_sort | Larionova, Irina |
collection | PubMed |
description | Recently, the possibility of using immune gene signatures (IGSs) has been considered as a novel prognostic tool for numerous cancer types. State-of-the-art methods of genomic, transcriptomic, and protein analysis have allowed the identification of a number of immune signatures correlated to disease outcome. The major adaptive and innate immune components are the T lymphocytes and macrophages, respectively. Herein, we collected essential data on IGSs consisting of subsets of T cells and tumor-associated macrophages and indicating cancer patient outcomes. We discuss factors that can introduce errors in the recognition of immune cell types and explain why the significance of immune signatures can be interpreted with uncertainty. The unidirectional functions of cell types should be entirely addressed in the signatures constructed by the combination of innate and adaptive immune cells. The state of the antitumor immune response is the key basis for IGSs and should be considered in gene signature construction. We also analyzed immune signatures for the prediction of immunotherapy response. Finally, we attempted to explain the present-day limitations in the use of immune signatures as robust criteria for prognosis. |
format | Online Article Text |
id | pubmed-10399276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103992762023-08-04 Immune gene signatures as prognostic criteria for cancer patients Larionova, Irina Tashireva, Liubov Ther Adv Med Oncol Using RNA Sequencing and Profiling in Diagnosis and Treatment of Cancer Recently, the possibility of using immune gene signatures (IGSs) has been considered as a novel prognostic tool for numerous cancer types. State-of-the-art methods of genomic, transcriptomic, and protein analysis have allowed the identification of a number of immune signatures correlated to disease outcome. The major adaptive and innate immune components are the T lymphocytes and macrophages, respectively. Herein, we collected essential data on IGSs consisting of subsets of T cells and tumor-associated macrophages and indicating cancer patient outcomes. We discuss factors that can introduce errors in the recognition of immune cell types and explain why the significance of immune signatures can be interpreted with uncertainty. The unidirectional functions of cell types should be entirely addressed in the signatures constructed by the combination of innate and adaptive immune cells. The state of the antitumor immune response is the key basis for IGSs and should be considered in gene signature construction. We also analyzed immune signatures for the prediction of immunotherapy response. Finally, we attempted to explain the present-day limitations in the use of immune signatures as robust criteria for prognosis. SAGE Publications 2023-08-02 /pmc/articles/PMC10399276/ /pubmed/37547445 http://dx.doi.org/10.1177/17588359231189436 Text en © The Author(s), 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Using RNA Sequencing and Profiling in Diagnosis and Treatment of Cancer Larionova, Irina Tashireva, Liubov Immune gene signatures as prognostic criteria for cancer patients |
title | Immune gene signatures as prognostic criteria for cancer patients |
title_full | Immune gene signatures as prognostic criteria for cancer patients |
title_fullStr | Immune gene signatures as prognostic criteria for cancer patients |
title_full_unstemmed | Immune gene signatures as prognostic criteria for cancer patients |
title_short | Immune gene signatures as prognostic criteria for cancer patients |
title_sort | immune gene signatures as prognostic criteria for cancer patients |
topic | Using RNA Sequencing and Profiling in Diagnosis and Treatment of Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399276/ https://www.ncbi.nlm.nih.gov/pubmed/37547445 http://dx.doi.org/10.1177/17588359231189436 |
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