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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...

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Autores principales: Larionova, Irina, Tashireva, Liubov
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
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.
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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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