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Immune cell profiling in cancer: molecular approaches to cell-specific identification
The immune system has many important regulatory roles in cancer development and progression. Given the emergence of effective immune therapies against many cancers, reliable predictors of response are needed. One method of determining response is by evaluating immune cell populations from treated an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871917/ https://www.ncbi.nlm.nih.gov/pubmed/29872708 http://dx.doi.org/10.1038/s41698-017-0031-0 |
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author | Lyons, Yasmin A. Wu, Sherry Y. Overwijk, Willem W. Baggerly, Keith A. Sood, Anil K. |
author_facet | Lyons, Yasmin A. Wu, Sherry Y. Overwijk, Willem W. Baggerly, Keith A. Sood, Anil K. |
author_sort | Lyons, Yasmin A. |
collection | PubMed |
description | The immune system has many important regulatory roles in cancer development and progression. Given the emergence of effective immune therapies against many cancers, reliable predictors of response are needed. One method of determining response is by evaluating immune cell populations from treated and untreated tumor samples. The amount of material obtained from tumor biopsies can be limited; therefore, gene-based or protein-based analyses may be attractive because they require minimal tissue. Cell-specific signatures are being analyzed with use of the latest technologies, including NanoString’s nCounter technology, intracellular staining flow cytometry, cytometry by time-of-flight, RNA-Seq, and barcoding antibody-based protein arrays. These signatures provide information about the contributions of specific types of immune cells to bulk tumor samples. To date, both tumor tissue and immune cells have been analyzed for molecular expression profiles that can assess genes and proteins that are specific to immune cells, yielding results of varying specificity. Here, we discuss the importance of profiling tumor tissue and immune cells to identify immune-cell-associated genes and proteins and specific gene profiles of immune cells. We also discuss the use of these signatures in cancer treatment and the challenges faced in molecular expression profiling of immune cell populations. |
format | Online Article Text |
id | pubmed-5871917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58719172018-06-05 Immune cell profiling in cancer: molecular approaches to cell-specific identification Lyons, Yasmin A. Wu, Sherry Y. Overwijk, Willem W. Baggerly, Keith A. Sood, Anil K. NPJ Precis Oncol Review Article The immune system has many important regulatory roles in cancer development and progression. Given the emergence of effective immune therapies against many cancers, reliable predictors of response are needed. One method of determining response is by evaluating immune cell populations from treated and untreated tumor samples. The amount of material obtained from tumor biopsies can be limited; therefore, gene-based or protein-based analyses may be attractive because they require minimal tissue. Cell-specific signatures are being analyzed with use of the latest technologies, including NanoString’s nCounter technology, intracellular staining flow cytometry, cytometry by time-of-flight, RNA-Seq, and barcoding antibody-based protein arrays. These signatures provide information about the contributions of specific types of immune cells to bulk tumor samples. To date, both tumor tissue and immune cells have been analyzed for molecular expression profiles that can assess genes and proteins that are specific to immune cells, yielding results of varying specificity. Here, we discuss the importance of profiling tumor tissue and immune cells to identify immune-cell-associated genes and proteins and specific gene profiles of immune cells. We also discuss the use of these signatures in cancer treatment and the challenges faced in molecular expression profiling of immune cell populations. Nature Publishing Group UK 2017-08-15 /pmc/articles/PMC5871917/ /pubmed/29872708 http://dx.doi.org/10.1038/s41698-017-0031-0 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Article Lyons, Yasmin A. Wu, Sherry Y. Overwijk, Willem W. Baggerly, Keith A. Sood, Anil K. Immune cell profiling in cancer: molecular approaches to cell-specific identification |
title | Immune cell profiling in cancer: molecular approaches to cell-specific identification |
title_full | Immune cell profiling in cancer: molecular approaches to cell-specific identification |
title_fullStr | Immune cell profiling in cancer: molecular approaches to cell-specific identification |
title_full_unstemmed | Immune cell profiling in cancer: molecular approaches to cell-specific identification |
title_short | Immune cell profiling in cancer: molecular approaches to cell-specific identification |
title_sort | immune cell profiling in cancer: molecular approaches to cell-specific identification |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871917/ https://www.ncbi.nlm.nih.gov/pubmed/29872708 http://dx.doi.org/10.1038/s41698-017-0031-0 |
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